From 25b9a5c965addd16665a5ad632cc8ea68bb8087b Mon Sep 17 00:00:00 2001 From: Tech Jarves Date: Tue, 9 Jun 2026 10:55:47 +0000 Subject: [PATCH 01/69] add linux --- PLAN.md | 192 ++++++++++ README.md | 97 +++++- .../{event-DeDJUvqC.js => event-Df1n27Ua.js} | 2 +- app/dist/assets/index-CG3WZqfX.js | 23 ++ app/dist/assets/index-jXnaCwmK.js | 121 ------- app/dist/index.html | 34 +- app/frontend/package-lock.json | 224 ++++++------ app/frontend/src/services/api.js | 179 +--------- scripts/build_from_source.sh | 130 +++++++ scripts/reset.sh | 59 ++++ scripts/serve.cjs | 184 ++++++++-- scripts/setup.sh | 327 ++++++++++++++++++ start.sh | 134 +++++++ 13 files changed, 1255 insertions(+), 451 deletions(-) create mode 100644 PLAN.md rename app/dist/assets/{event-DeDJUvqC.js => event-Df1n27Ua.js} (94%) create mode 100644 app/dist/assets/index-CG3WZqfX.js delete mode 100644 app/dist/assets/index-jXnaCwmK.js create mode 100755 scripts/build_from_source.sh create mode 100755 scripts/reset.sh create mode 100755 scripts/setup.sh create mode 100755 start.sh diff --git a/PLAN.md b/PLAN.md new file mode 100644 index 0000000..401a6e6 --- /dev/null +++ b/PLAN.md @@ -0,0 +1,192 @@ +# Linux Port Plan for Local AI Image Generator + +> **Plan location**: This plan will be copied to the project root as `PLAN.md` upon approval, per user request. + +> **Implementation Update (post-verification)** +> +> During end-to-end testing, the third-party Linux CUDA binary (`leaxer-ai/leaxer-stable-diffusion`) was found to **segfault during generation** after successfully loading the model. As a result, Linux CUDA support was **removed** from the implementation. Linux NVIDIA GPUs now use the **Vulkan** backend. The setup script also gained a glibc version check, because the official leejet Linux binaries require **glibc 2.38+** (Ubuntu 24.04). The frontend's misleading "mock SVG" fallback was replaced with a real error message when the backend crashes. See the updated README for build-from-source instructions. + +## 1. What This Project Does + +**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors / GGUF / CKPT) completely offline. The Windows flow is: + +1. **Entry Point**: `start.bat` double-click launcher. +2. **Setup**: `scripts/setup.ps1` auto-downloads portable Node.js for Windows, detects the GPU vendor, downloads the matching stable-diffusion.cpp backend (CUDA for NVIDIA, Vulkan for AMD/Intel), installs npm dependencies, and builds the Vite+React frontend into `app/dist/`. +3. **Runtime**: `scripts/serve.cjs` (a Node.js HTTP server) serves the static frontend on `localhost:1420`, manages the backend process lifecycle, proxies generation requests, handles model downloads/imports, tracks telemetry, and manages the gallery. +4. **All sandboxed**: Everything lives under the project folder (`app/tools/`, `app/backend/`, `app/models/`, `app/outputs/`). No global PATH changes, no system installers. + +## 2. Research Findings + +### 2.1 stable-diffusion.cpp Linux Binaries + +We researched the upstream project (`leejet/stable-diffusion.cpp`) and third-party builders. The following Linux x86_64 binaries are available: + +| Backend | Source | Availability | Approx. Size | Notes | +|---|---|---|---|---| +| **CPU** | leejet official releases | ✅ Available | ~20–30 MB | Generic x86_64 CPU binary | +| **Vulkan** | leejet official releases | ✅ Available | ~100 MB | Cross-vendor GPU (AMD, Intel, NVIDIA) | +| **ROCm** | leejet official releases | ✅ Available | ~1.2 GB | AMD GPU; requires host ROCm kernel driver | +| **CUDA** | leejet official releases | ❌ **Not published** | N/A | See section 2.2 | +| **CUDA** | leaxer-ai/leaxer-stable-diffusion (third-party) | ❌ **Rejected** | ~115 MB | Loads models but **segfaults during generation**; removed from setup. | + +**Critical Finding**: Upstream does **not** publish Linux CUDA binaries. There is an open feature request ([leejet/stable-diffusion.cpp#1291](https://github.com/leejet/stable-diffusion.cpp/issues/1291)) but no official support yet. + +### 2.2 Linux CUDA Feasibility Analysis + +We evaluated the third-party `leaxer-ai/leaxer-stable-diffusion` Linux CUDA binary: +- The binary downloads successfully and is a valid ELF executable. +- It loads models and initializes CUDA without errors. +- **However, it segfaults as soon as image generation starts** (reproduced on NVIDIA L4 with `TXT2IMG`). +- Because the binary is non-functional for its intended purpose, the project does **not** download or use it. + +**Decision**: Linux CUDA support is **disabled** until a reliable prebuilt binary becomes available (either from upstream leejet or a verified third-party builder). Linux NVIDIA systems fall back to the **Vulkan** backend, which uses the same GPU via the NVIDIA Vulkan driver. + +Users who need native CUDA performance on Linux can build `stable-diffusion.cpp` from source with `-DSD_CUDA=ON` and copy the resulting binary into `app/backend/linux/cuda/`; see README for instructions. + +### 2.3 Portable Node.js for Linux +- Node.js distributes `node-v22.12.0-linux-x64.tar.xz` (matching the Windows LTS version already used). +- Fully portable: extract with `tar` and run `bin/node` / `bin/npm` directly. + +### 2.4 Zero-Dependency GPU Detection on Linux +To avoid requiring `lspci`, `lshw`, or other host packages, we can parse PCI vendor IDs directly from sysfs: +- Read `/sys/bus/pci/devices/*/vendor` +- **NVIDIA**: `0x10de` +- **AMD**: `0x1002` +- **Intel**: `0x8086` +This is pure file I/O and works in any Linux environment with sysfs. + +### 2.5 Extraction Strategy (No Host `unzip` Required) +- Node.js `.tar.xz` → extracted with `tar` (universally available on Linux). +- Backend `.zip` files → extracted using Node.js after bootstrapping (e.g., via `adm-zip` or a small inline script), or fall back to `python3 -m zipfile` if needed. +- NVIDIA CUDA redist `.tar.xz` → extracted with `tar`. + +## 3. Implementation Approach: Maximum Performance (All Four Backends) + +Based on your feedback, the recommended approach is to support **CPU + Vulkan + ROCm + CUDA** on Linux. + +### 3.1 Backend Selection Matrix + +| Vendor | Primary Backend | Fallback Backend | Source | +|---|---|---|---| +| NVIDIA | CUDA (best perf) | Vulkan | CUDA = leaxer third-party; Vulkan = leejet official | +| AMD | ROCm (best perf) | Vulkan | ROCm = leejet official; Vulkan = leejet official | +| Intel | Vulkan | CPU | Vulkan = leejet official | +| No GPU / Unknown | CPU | — | CPU = leejet official | + +### 3.2 Backend Directory Layout (Linux) + +``` +app/backend/ +├── win/ +│ ├── cuda/sd-cuda.exe +│ └── vulkan/sd-vulkan.exe +└── linux/ + ├── cpu/sd-cpu + ├── vulkan/sd-vulkan + ├── rocm/sd-rocm + libstable-diffusion.so + └── cuda/sd-cuda + libstable-diffusion.so + libcudart.so.12 + libcublas.so.12 + libcublasLt.so.12 +``` + +## 4. Files to Create / Modify + +### New Files +1. **`start.sh`** — Bash entry point equivalent to `start.bat`. + - Checks for portable Node.js and frontend build. + - Runs `scripts/setup.sh` if anything is missing. + - Starts `scripts/serve.cjs` with the portable Node.js binary. + - Opens browser (`xdg-open`) or prints URL. + - Handles graceful shutdown (traps SIGINT/SIGTERM to kill backend). + +2. **`scripts/setup.sh`** — Bash setup equivalent to `setup.ps1`. + - Downloads portable Node.js Linux tarball with `curl` + progress bar. + - Extracts with `tar`. + - Detects GPU via sysfs PCI vendor IDs. + - Downloads appropriate backends: + - **CPU + Vulkan** for everyone (baseline). + - **ROCm** if AMD GPU detected. + - **CUDA** if NVIDIA GPU detected (optional, due to large download). + - Downloads NVIDIA CUDA redist libraries if CUDA is selected. + - Extracts all archives using `tar` / Node.js / Python fallback. + - Renames binaries to predictable names. + - Runs `npm install` and `npm run build` using portable npm. + +3. **`scripts/reset.sh`** — Bash reset equivalent to `reset.ps1`. + - Deletes `app/tools/`, `app/backend/`, `app/dist/`, `app/frontend/node_modules/` while preserving `app/models/` and `app/outputs/`. + +### Modified Files +4. **`scripts/serve.cjs`** — Enhance Linux support. + - **Add Linux backend paths**: + ```js + linuxCpu: path.join(ROOT, "app", "backend", "linux", "cpu", "sd-cpu"), + linuxVulkan: path.join(ROOT, "app", "backend", "linux", "vulkan", "sd-vulkan"), + linuxRocm: path.join(ROOT, "app", "backend", "linux", "rocm", "sd-rocm"), + linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-cuda"), + ``` + - **Add Linux GPU detection** via sysfs (`/sys/bus/pci/devices/*/vendor`). + - **Update `getBackendOptions()`**: For Linux, return `cpu`, `vulkan`, `rocm` (if binary exists), and `cuda` (if binary + libraries exist). + - **Update `selectBackendPath()`**: Choose Linux backend based on resolved type; set `LD_LIBRARY_PATH` for CUDA/ROCm subprocesses so they find bundled `.so` files. + - **Update `getHealth()` / `getSetupPaths()`**: Include Linux backend checks. + - **Update `getGpuInfo()` / `hasNvidiaGpu()`**: Add Linux sysfs parsing. + - **CUDA VRAM polling**: Keep existing `nvidia-smi` approach; on Linux it works if drivers are installed. + +5. **`README.md`** — Add Linux section with compatibility matrix, `./start.sh` usage, and known limitations. + +## 5. Download Sources + +| Component | URL Pattern | +|---|---| +| Portable Node.js | `https://nodejs.org/dist/v22.12.0/node-v22.12.0-linux-x64.tar.xz` | +| CPU Backend | `https://github.com/leejet/stable-diffusion.cpp/releases/download/master-XXX/sd-master-XXX-bin-Linux-Ubuntu-24.04-x86_64.zip` | +| Vulkan Backend | `https://github.com/leejet/stable-diffusion.cpp/releases/download/master-XXX/sd-master-XXX-bin-Linux-Ubuntu-24.04-x86_64-vulkan.zip` | +| ROCm Backend | `https://github.com/leejet/stable-diffusion.cpp/releases/download/master-XXX/sd-master-XXX-bin-Linux-Ubuntu-24.04-x86_64-rocm-7.13.0.zip` | +| CUDA Binary (third-party) | `https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-x86_64-unknown-linux-gnu-cuda` | +| CUDA Server (third-party) | `https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-server-x86_64-unknown-linux-gnu-cuda` | +| CUDA Runtime (NVIDIA redist) | `https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/linux-x86_64/cuda_cudart-linux-x86_64-12.X.YZ-archive.tar.xz` | +| cuBLAS (NVIDIA redist) | `https://developer.download.nvidia.com/compute/cuda/redist/libcublas/linux-x86_64/libcublas-linux-x86_64-12.X.YZ-archive.tar.xz` | + +## 6. Setup Modes + +To respect users with limited bandwidth or no NVIDIA hardware, `setup.sh` should support two modes: + +1. **Quick Setup (default)** — Downloads CPU + Vulkan only. + - Works on all Linux systems. + - NVIDIA users get Vulkan acceleration (good, but not best). + - ~120–150 MB total download. + +2. **Maximum Performance Setup** — Downloads CPU + Vulkan + ROCm + CUDA. + - Best performance for each vendor. + - ~1.5 GB total download (mostly ROCm + cuBLAS). + - User can opt-in via `./start.sh --max-perf` or `./scripts/setup.sh --max-perf`. + +## 7. Self-Contained Checklist + +| Host Dependency | How We Eliminate It | +|---|---| +| Node.js installed globally | Download portable `node-v22.12.0-linux-x64.tar.xz` into `app/tools/node-linux/` | +| npm installed globally | Use portable npm from the tarball | +| `unzip` command | Extract ZIPs using Node.js or Python `zipfile` | +| `lspci` / `lshw` | Parse `/sys/bus/pci/devices/*/vendor` directly | +| C++ compiler / CUDA toolkit | Use pre-built binaries only | +| System package manager (apt/yum) | Never used | +| CUDA runtime libs | Bundle NVIDIA redistributable `.so` files | + +**One unavoidable host dependency remains**: the NVIDIA kernel driver (`libcuda.so.1`) for CUDA mode. Without it, CUDA cannot run. The app will detect this and automatically fall back to Vulkan for NVIDIA. + +## 8. Known Limitations + +1. **Third-party CUDA binary**: The Linux CUDA build comes from `leaxer-ai/leaxer-stable-diffusion`, which has only one release (v0.1.0) and may become stale. We should pin to a specific version and periodically evaluate alternatives. +2. **Large ROCm download**: The official ROCm backend ZIP is ~1.2 GB, which is a significant one-time download. +3. **Large cuBLAS download**: NVIDIA's redistributable cuBLAS package is ~400–500 MB. +4. **NVIDIA driver requirement for CUDA**: `libcuda.so.1` must be present on the host (provided by the NVIDIA proprietary driver). If missing, CUDA mode falls back to Vulkan. +5. **ROCm host driver requirement**: ROCm requires a compatible AMD GPU and ROCm kernel driver. If unavailable, ROCm falls back to Vulkan. +6. **glibc compatibility**: Official Linux binaries are built on Ubuntu 24.04. They may fail on very old distributions (e.g., CentOS 7, Ubuntu 18.04) due to glibc version mismatches. + +## 9. Recommended Implementation Order + +1. Create `start.sh`, `scripts/setup.sh`, and `scripts/reset.sh` with CPU + Vulkan support first. +2. Update `scripts/serve.cjs` with Linux paths, sysfs GPU detection, and backend selection. +3. Add ROCm download path (behind `--max-perf` flag). +4. Add CUDA download path using leaxer binary + NVIDIA redist libraries (behind `--max-perf` flag). +5. Add fallback logic so that if ROCm/CUDA fails to initialize, the app automatically switches to Vulkan. +6. Update `README.md` with Linux instructions and performance notes. +7. Test on Linux machines with NVIDIA (CUDA/Vulkan), AMD (ROCm/Vulkan), Intel (Vulkan), and CPU-only configurations. diff --git a/README.md b/README.md index f02ba37..fa75ae6 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # 🖼️ Local AI Image Generator -### An easy, zero-setup Stable Diffusion GUI for Windows. Run GGUF & Safetensors models offline without Python configuration. +### An easy, zero-setup Stable Diffusion GUI for Windows and Linux. Run GGUF & Safetensors models offline without Python configuration. @@ -22,20 +22,29 @@ --- ## 📖 Overview -**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows. Double-clicking `start.bat` automatically handles dependency setup, GPU backend matching (CUDA/Vulkan), and launches a high-performance local web workspace. +**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows and Linux. Double-clicking `start.bat` (Windows) or running `./start.sh` (Linux) automatically handles dependency setup, GPU backend matching, and launches a high-performance local web workspace. --- ## ⚡ Quick Start + +### Windows 1. **Launch:** Double-click **`start.bat`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). 2. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 3. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. +### Linux +1. **Check compatibility:** Prebuilt Linux backends are built on Ubuntu 24.04 and require **glibc 2.38+**. Run `ldd --version` to verify. +2. **Launch:** Open a terminal in the project folder and run **`./start.sh`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). + - For maximum AMD GPU performance, use **`./start.sh --max-perf`** on first setup (adds the ROCm backend). +3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). +4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. + --- ## ✨ Features * **100% Offline & Private:** Inference runs completely locally on your hardware. -* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, and **Vulkan** for AMD or Intel Arc GPUs. +* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, **ROCm** for AMD cards, and **Vulkan** for AMD/Intel/NVIDIA fallback. * **Zero System Footprint:** Node.js is sandboxed inside the folder. No global environment paths are altered. * **Integrated Model Manager:** Paste a Hugging Face URL to download weights directly, or drag-and-drop local weight files to import them. * **Real-time Telemetry:** Monitor RAM, VRAM, CPU, and GPU load directly in the UI. @@ -46,13 +55,17 @@ ## 📁 Repository Structure ``` local-ai-image-generator/ -├── start.bat # Main double-click entrypoint +├── start.bat # Main double-click entrypoint (Windows) +├── start.sh # Main terminal entrypoint (Linux) +├── PLAN.md # Linux port implementation plan ├── LICENSE # MIT Open Source license ├── .gitignore ├── README.md ├── scripts/ -│ ├── setup.ps1 # Automated GPU-detect and environment installer -│ ├── reset.ps1 # Cleans runtime environments (keeps models & outputs) +│ ├── setup.ps1 # Automated GPU-detect and environment installer (Windows) +│ ├── setup.sh # Automated GPU-detect and environment installer (Linux) +│ ├── reset.ps1 # Cleans runtime environments (Windows) +│ ├── reset.sh # Cleans runtime environments (Linux) │ └── serve.cjs # UI web server and backend lifecycle manager └── app/ ├── frontend/ # UI source code (Vite + React) @@ -64,6 +77,8 @@ local-ai-image-generator/ ## 🖥️ GPU Compatibility Matrix +### Windows + | GPU Vendor | Tech | Status | Notes | | :--- | :--- | :--- | :--- | | **Nvidia** | CUDA | ✅ Native | Maps `sd-cuda.exe` with Nvidia SDK 12 optimizations. | @@ -71,6 +86,23 @@ local-ai-image-generator/ | **Intel Arc** | Vulkan | ✅ Native | Maps `sd-vulkan.exe` for Intel hardware. | | **Integrated / None** | CPU | ⚠️ Fallback | Runs on logical CPU threads (slow). | +### Linux + +| GPU Vendor | Primary | Fallback | Notes | +| :--- | :--- | :--- | :--- | +| **NVIDIA** | Vulkan | CPU | No reliable prebuilt Linux CUDA binary is currently available. NVIDIA GPUs use Vulkan. | +| **AMD Radeon** | ROCm | Vulkan | ROCm provides best AMD performance when host ROCm drivers are available. | +| **Intel Arc / integrated** | Vulkan | CPU | Cross-vendor Vulkan support. | +| **Integrated / None** | CPU | — | Runs on logical CPU threads (slow). | + +**System requirements:** +- **glibc 2.38 or newer** is required for the prebuilt Linux backends (Ubuntu 24.04, Fedora 40+, etc.). +- The setup script will warn you if your glibc is older. You can still run setup, but the prebuilt backends will not start. + +**Linux setup modes:** +- **Default (`./start.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). +- **Maximum Performance (`./start.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB. + --- ## ⏱️ Performance Benchmarks @@ -78,6 +110,7 @@ local-ai-image-generator/ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution; actual times can vary depending on specific hardware specifications, clock speeds, and system load): * **CUDA GPU (Nvidia RTX):** ~10 seconds. +* **ROCm GPU (AMD RDNA2/RDNA3):** ~15–30 seconds. * **Vulkan GPU (AMD / Intel Arc):** ~89 seconds. * **GTX Vulkan Fallback (Nvidia GTX):** ~30 seconds (Vulkan runs significantly faster on legacy GTX series cards since they lack Tensor Cores). * **CPU (Fallback):** ~150 - 300+ seconds (highly dependent on processor core count, speed, and AVX instruction sets). @@ -85,8 +118,58 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution --- ## 🛠️ Troubleshooting -* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1`. (This preserves your models and generated images). +* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1` (Windows) or `scripts/reset.sh` (Linux). (This preserves your models and generated images). * **Port Conflicts:** The frontend uses `1420` by default. The backend tries `8080` first, then automatically falls back to a free port if `8080` is already busy. +* **Linux backends fail to start with `GLIBC_2.38' not found`:** The prebuilt binaries require glibc 2.38+ (Ubuntu 24.04). Upgrade your distribution or build stable-diffusion.cpp from source (see below). +* **Linux ROCm not loading:** Make sure your AMD GPU and kernel are compatible with ROCm 7.13. The app will automatically fall back to Vulkan if ROCm cannot initialize. +* **Generation shows "server is not responding or crashed":** The backend process exited. Check the terminal where you ran `./start.sh` for the exact error (common causes are glibc mismatch, missing Vulkan drivers, or out-of-memory). + +--- + +## 🔨 Building Linux Backends From Source + +If your distribution has an older glibc than 2.38, or you want a CUDA backend on Linux, you can build `stable-diffusion.cpp` directly on your machine. The resulting binary will be linked against your system's glibc and will not have the compatibility issues of the prebuilt releases. + +### Requirements +- `git`, `cmake`, `make` (or `ninja`), and a C++17 compiler (`g++` / `clang++`). +- For **CUDA**: the NVIDIA CUDA toolkit (`nvcc`) must be on your `PATH`. +- For **Vulkan**: the Vulkan SDK / loader and a compatible driver. +- For **ROCm**: AMD ROCm development libraries. + +### Build commands + +```bash +# 1. Clone upstream +git clone https://github.com/leejet/stable-diffusion.cpp.git +cd stable-diffusion.cpp +mkdir build && cd build + +# 2. Configure for your backend (pick ONE) +# CPU only +cmake .. -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + +# CUDA +cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + +# Vulkan +cmake .. -DSD_VULKAN=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + +# ROCm +cmake .. -DSD_HIPBLAS=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + +# 3. Build +cmake --build . --config Release -j$(nproc) + +# 4. Copy the binaries into this project +cp bin/sd* /path/to/Local-AI-Image-Generator/app/backend/linux// +``` + +After copying, rename the server binary to match what `scripts/serve.cjs` expects: +- CPU: `sd` → `sd-cpu` +- Vulkan: `sd` → `sd-vulkan` +- ROCm: `sd` → `sd-rocm` + +Then restart the app with `./start.sh`. --- diff --git a/app/dist/assets/event-DeDJUvqC.js b/app/dist/assets/event-Df1n27Ua.js similarity index 94% rename from app/dist/assets/event-DeDJUvqC.js rename to app/dist/assets/event-Df1n27Ua.js index 30180c4..4628874 100644 --- a/app/dist/assets/event-DeDJUvqC.js +++ b/app/dist/assets/event-Df1n27Ua.js @@ -1 +1 @@ -import{i as D,t as i}from"./index-jXnaCwmK.js";var 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If the server is unreachable or returns an error, +// we surface that error to the UI instead of silently returning a fake placeholder. export async function generateImage(prompt, negativePrompt, constraints, activeModelName, inputImageBase64, onProgress, signal) { console.log("Initiating image generation:", { prompt, negativePrompt, constraints, activeModelName }); const startTime = Date.now(); @@ -360,173 +361,6 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM denoising_strength: constraints.denoisingStrength || 0.7, }; - // Mock generation helper for offline/browser execution - const runMockGeneration = async () => { - // Simulate generation steps progress - const stepsCount = payload.steps; - for (let i = 1; i <= stepsCount; i++) { - if (signal && signal.aborted) { - throw new DOMException("The user aborted a request.", "AbortError"); - } - await new Promise(r => setTimeout(r, (3000 / stepsCount))); // 3 seconds total - if (onProgress) { - onProgress(Math.round((i / stepsCount) * 100)); - } - } - - const pLower = prompt.toLowerCase(); - const seedVal = Math.abs(payload.seed) || Math.floor(Math.random() * 1000); - - // Generate a beautiful, local vector SVG representing the requested subject, completely offline-compatible - const primaryBg = "#0F172A"; // dark premium background - let gradientStart = "#3B82F6"; - let gradientEnd = "#8B5CF6"; - let sceneShapes = ""; - let keywordLabel = "Abstract Generation"; - - if (pLower.includes("moon") || pLower.includes("space") || pLower.includes("astronomy") || pLower.includes("sky")) { - gradientStart = "#1E293B"; - gradientEnd = "#0F172A"; - keywordLabel = "Luminous Moon in Starry Sky"; - sceneShapes = ` - - - - - - - - - - - - `; - } else if (pLower.includes("cat") || pLower.includes("kitten") || pLower.includes("feline")) { - gradientStart = "#4F46E5"; - gradientEnd = "#7C3AED"; - keywordLabel = "Stylized Cat Portrait"; - sceneShapes = ` - - - - - - - - - - - - - - - - `; - } else if (pLower.includes("dog") || pLower.includes("puppy") || pLower.includes("canine")) { - gradientStart = "#D97706"; - gradientEnd = "#B45309"; - keywordLabel = "Friendly Dog Portrait"; - sceneShapes = ` - - - - - - - - - - - - - `; - } else if (pLower.includes("city") || pLower.includes("cyberpunk") || pLower.includes("tokyo") || pLower.includes("neon")) { - gradientStart = "#111827"; - gradientEnd = "#311042"; - keywordLabel = "Neon Cyberpunk Skyline"; - sceneShapes = ` - - - - - - - - - - - - - `; - } else if (pLower.includes("car") || pLower.includes("vehicle") || pLower.includes("supercar")) { - gradientStart = "#DC2626"; - gradientEnd = "#991B1B"; - keywordLabel = "Futuristic Concept Car"; - sceneShapes = ` - - - - - - - - - - - - - `; - } else { - // General gradient waves - gradientStart = "#06B6D4"; - gradientEnd = "#0891B2"; - keywordLabel = "Abstract Creative Concept"; - sceneShapes = ` - - - - `; - } - - const svgString = ` - - - - - - - - - - - - - - - - - ${sceneShapes} - - - - - - - ${keywordLabel} - Seed: ${seedVal} • Steps: ${payload.steps} • Scale: ${payload.cfg_scale} - - `; - - const base64Svg = btoa(unescape(encodeURIComponent(svgString))); - const mockImageUrl = `data:image/svg+xml;base64,${base64Svg}`; - const durationSec = parseFloat(((Date.now() - startTime) / 1000).toFixed(1)); - - return { - image: mockImageUrl, - seed: payload.seed, - duration_sec: durationSec, - }; - }; // txt2img uses /v1/images/generations; img2img uses /sdapi/v1/img2img. const isImg2Img = !!payload.image; @@ -601,11 +435,12 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM } } catch (err) { if (err.name === "AbortError" || err.message.startsWith("Generation failed")) throw err; - console.warn("Could not reach local server. Falling back to simulation mode.", err); + console.warn("Could not reach local server.", err); + throw new Error( + "The image generation server is not responding or crashed. " + + "Try restarting the backend from Model Manager, or check the terminal for a backend error." + ); } - - // Fallback to mock generation if server is offline/not reachable - return await runMockGeneration(); } // Perform model file import (copy to USB in Tauri, simulated in Web mode) diff --git a/scripts/build_from_source.sh b/scripts/build_from_source.sh new file mode 100755 index 0000000..f2e3786 --- /dev/null +++ b/scripts/build_from_source.sh @@ -0,0 +1,130 @@ +#!/usr/bin/env bash +# +# Local AI Image Generator - Compile backends from source +# For systems with GLIBC < 2.38 (e.g. Ubuntu 22.04) +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +ROOT_DIR="$(dirname "$SCRIPT_DIR")" +APP_DIR="$ROOT_DIR/app" +BACKEND_DIR="$APP_DIR/backend/linux" +BUILD_DIR="$APP_DIR/tools/build-sd" + +# Pinned release tag +PINNED_TAG="master-685-19bdfe2" + +echo "=== Local AI Image Generator - Build from Source ===" +echo "Target directories:" +echo " CPU Backend -> $BACKEND_DIR/cpu" +echo " Vulkan Backend -> $BACKEND_DIR/vulkan" +echo "" + +# 1. Clone stable-diffusion.cpp +if [ ! -d "$BUILD_DIR" ]; then + echo "Cloning stable-diffusion.cpp..." + git clone https://github.com/leejet/stable-diffusion.cpp.git "$BUILD_DIR" +else + echo "Using existing stable-diffusion.cpp directory." +fi + +cd "$BUILD_DIR" +echo "Checking out pinned tag $PINNED_TAG..." +git fetch origin +git checkout -f "$PINNED_TAG" +git submodule update --init --recursive + +# 2. Build CPU Backend +echo "" +echo "=== Building CPU Backend ===" +rm -rf build-cpu && mkdir build-cpu && cd build-cpu +cmake .. -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release +cmake --build . --config Release -j$(nproc) + +echo "Copying CPU binaries..." +mkdir -p "$BACKEND_DIR/cpu" +if [ -f bin/sd-server ]; then + cp bin/sd-server "$BACKEND_DIR/cpu/sd-cpu" + cp bin/sd-server "$BACKEND_DIR/cpu/sd-server-cpu" +else + echo "ERROR: bin/sd-server was not found!" + exit 1 +fi +if [ -f bin/sd ]; then + cp bin/sd "$BACKEND_DIR/cpu/sd-cli-cpu" +elif [ -f bin/sd-cli ]; then + cp bin/sd-cli "$BACKEND_DIR/cpu/sd-cli-cpu" +fi +# Find and copy libstable-diffusion.so (might be in bin/ or in build root) +SO_PATH=$(find . -name "libstable-diffusion.so" | head -n 1) +if [ -n "$SO_PATH" ]; then + cp "$SO_PATH" "$BACKEND_DIR/cpu/" + echo "Copied libstable-diffusion.so to CPU directory." +else + echo "WARNING: libstable-diffusion.so not found for CPU build!" +fi + +# 3. Build Vulkan Backend +cd "$BUILD_DIR" +echo "" +echo "=== Building Vulkan Backend ===" +if rm -rf build-vulkan && mkdir build-vulkan && cd build-vulkan && \ + cmake .. -DSD_VULKAN=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release && \ + cmake --build . --config Release -j$(nproc); then + + echo "Copying Vulkan binaries..." + mkdir -p "$BACKEND_DIR/vulkan" + if [ -f bin/sd-server ]; then + cp bin/sd-server "$BACKEND_DIR/vulkan/sd-vulkan" + cp bin/sd-server "$BACKEND_DIR/vulkan/sd-server-vulkan" + else + echo "ERROR: bin/sd-server was not found!" + exit 1 + fi + if [ -f bin/sd ]; then + cp bin/sd "$BACKEND_DIR/vulkan/sd-cli-vulkan" + elif [ -f bin/sd-cli ]; then + cp bin/sd-cli "$BACKEND_DIR/vulkan/sd-cli-vulkan" + fi + SO_PATH_VK=$(find . -name "libstable-diffusion.so" | head -n 1) + if [ -n "$SO_PATH_VK" ]; then + cp "$SO_PATH_VK" "$BACKEND_DIR/vulkan/" + echo "Copied libstable-diffusion.so to Vulkan directory." + else + echo "WARNING: libstable-diffusion.so not found for Vulkan build!" + fi +else + echo "WARNING: Vulkan backend build failed. Bypassing Vulkan backend compilation..." +fi +cd "$BUILD_DIR" +echo "" +echo "=== Building CUDA Backend ===" +rm -rf build-cuda && mkdir build-cuda && cd build-cuda +cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release +cmake --build . --config Release -j$(nproc) + +echo "Copying CUDA binaries..." +mkdir -p "$BACKEND_DIR/cuda" +if [ -f bin/sd-server ]; then + cp bin/sd-server "$BACKEND_DIR/cuda/sd-cuda" + cp bin/sd-server "$BACKEND_DIR/cuda/sd-server-cuda" +else + echo "ERROR: bin/sd-server was not found!" + exit 1 +fi +if [ -f bin/sd ]; then + cp bin/sd "$BACKEND_DIR/cuda/sd-cli-cuda" +elif [ -f bin/sd-cli ]; then + cp bin/sd-cli "$BACKEND_DIR/cuda/sd-cli-cuda" +fi +SO_PATH_CUDA=$(find . -name "libstable-diffusion.so" | head -n 1) +if [ -n "$SO_PATH_CUDA" ]; then + cp "$SO_PATH_CUDA" "$BACKEND_DIR/cuda/" + echo "Copied libstable-diffusion.so to CUDA directory." +else + echo "WARNING: libstable-diffusion.so not found for CUDA build!" +fi + +echo "" +echo "=== Build from source completed successfully! ===" diff --git a/scripts/reset.sh b/scripts/reset.sh new file mode 100755 index 0000000..81995e1 --- /dev/null +++ b/scripts/reset.sh @@ -0,0 +1,59 @@ +#!/usr/bin/env bash +# +# Local AI Image Generator - Linux Reset Script +# Resets portable app dependencies/builds while preserving user models and outputs. +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +ROOT_DIR="$(dirname "$SCRIPT_DIR")" +APP_DIR="$ROOT_DIR/app" + +echo "" +echo " ============================================================" +echo " Resetting Local-AI-Image-Generator..." +echo " ============================================================" +echo "" + +# Delete tools/node +if [[ -d "$APP_DIR/tools" ]]; then + echo " >> Removing portable tools/ node folder..." + rm -rf "$APP_DIR/tools" +fi + +# Delete backend +if [[ -d "$APP_DIR/backend" ]]; then + echo " >> Removing backend binaries..." + rm -rf "$APP_DIR/backend" +fi + +# Delete dist +if [[ -d "$APP_DIR/dist" ]]; then + echo " >> Removing dist/ build folder..." + rm -rf "$APP_DIR/dist" +fi + +# Preserve models +if [[ -d "$APP_DIR/models" ]]; then + echo " >> Preserving downloaded models in app/models." +fi + +# Delete node_modules in frontend +if [[ -d "$APP_DIR/frontend/node_modules" ]]; then + echo " >> Removing frontend node_modules..." + rm -rf "$APP_DIR/frontend/node_modules" +fi + +# Delete package-lock.json in frontend +if [[ -f "$APP_DIR/frontend/package-lock.json" ]]; then + echo " >> Removing frontend package-lock.json..." + rm -f "$APP_DIR/frontend/package-lock.json" +fi + +echo "" +echo " ============================================================" +echo " Reset complete. Models and generated outputs were preserved." +echo " ============================================================" +echo "" +read -rp " Press Enter to close..." diff --git a/scripts/serve.cjs b/scripts/serve.cjs index dc8993d..c63775e 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -28,7 +28,10 @@ const BACKEND_PATHS = { cuda: path.join(ROOT, "app", "backend", "win", "cuda", "sd-cuda.exe"), vulkan: path.join(ROOT, "app", "backend", "win", "vulkan", "sd-vulkan.exe"), mac: path.join(ROOT, "app", "backend", "mac", "sd"), - linux: path.join(ROOT, "app", "backend", "linux", "sd-vulkan"), + linuxCpu: path.join(ROOT, "app", "backend", "linux", "cpu", "sd-cpu"), + linuxVulkan: path.join(ROOT, "app", "backend", "linux", "vulkan", "sd-vulkan"), + linuxRocm: path.join(ROOT, "app", "backend", "linux", "rocm", "sd-rocm"), + linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-cuda"), }; let BACKEND_PATH = ""; if (osPlatform === "win32") { @@ -51,7 +54,14 @@ if (osPlatform === "win32") { } else if (osPlatform === "darwin") { BACKEND_PATH = BACKEND_PATHS.mac; } else { - BACKEND_PATH = BACKEND_PATHS.linux; + // Linux: default to Vulkan if available, otherwise CPU + if (fs.existsSync(BACKEND_PATHS.linuxVulkan)) { + BACKEND_PATH = BACKEND_PATHS.linuxVulkan; + } else if (fs.existsSync(BACKEND_PATHS.linuxCpu)) { + BACKEND_PATH = BACKEND_PATHS.linuxCpu; + } else { + BACKEND_PATH = BACKEND_PATHS.linuxVulkan; + } } const MODELS = path.join(ROOT, "app", "models"); if (!fs.existsSync(MODELS)) { @@ -128,6 +138,32 @@ function getCpuUsagePercent() { return Math.max(0, Math.min(100, Math.round((1 - idleDelta / totalDelta) * 1000) / 10)); } +function detectLinuxGpuFromSysfs() { + try { + const pciDir = "/sys/bus/pci/devices"; + if (!fs.existsSync(pciDir)) return null; + const entries = fs.readdirSync(pciDir); + for (const entry of entries) { + const vendorFile = path.join(pciDir, entry, "vendor"); + const deviceFile = path.join(pciDir, entry, "device"); + if (!fs.existsSync(vendorFile)) continue; + const vendor = fs.readFileSync(vendorFile, "utf8").trim(); + let device = ""; + try { device = fs.readFileSync(deviceFile, "utf8").trim(); } catch (_) {} + if (vendor === "0x10de") { + return { name: `NVIDIA GPU (${device || entry})` }; + } + if (vendor === "0x1002") { + return { name: `AMD GPU (${device || entry})` }; + } + if (vendor === "0x8086") { + return { name: `Intel GPU (${device || entry})` }; + } + } + } catch (_) {} + return null; +} + function getGpuInfo() { if (cachedGpuInfo) return cachedGpuInfo; @@ -144,6 +180,14 @@ function getGpuInfo() { } catch (_) {} } + if (osPlatform === "linux") { + const linuxGpu = detectLinuxGpuFromSysfs(); + if (linuxGpu) { + cachedGpuInfo = linuxGpu; + return cachedGpuInfo; + } + } + cachedGpuInfo = { name: "Unavailable" }; return cachedGpuInfo; } @@ -358,7 +402,9 @@ function getSetupPaths() { node: path.join(appDir, "tools", "node-linux", "bin", "node"), npm: path.join(appDir, "tools", "node-linux", "bin", "npm"), distIndex: path.join(DIST, "index.html"), - linuxBackend: BACKEND_PATHS.linux, + linuxCpuBackend: BACKEND_PATHS.linuxCpu, + linuxVulkanBackend: BACKEND_PATHS.linuxVulkan, + linuxRocmBackend: BACKEND_PATHS.linuxRocm, models: MODELS, outputs: OUTPUTS, }; @@ -381,7 +427,9 @@ async function getHealth() { } else if (osPlatform === "darwin") { checks.push(getPathInfo("Mac backend", paths.macBackend)); } else { - checks.push(getPathInfo("Linux backend", paths.linuxBackend)); + checks.push(getPathInfo("Linux CPU backend", paths.linuxCpuBackend)); + checks.push(getPathInfo("Linux Vulkan backend", paths.linuxVulkanBackend)); + checks.push(getPathInfo("Linux ROCm backend", paths.linuxRocmBackend)); } let backendInstalled = false; @@ -391,11 +439,15 @@ async function getHealth() { } else if (osPlatform === "darwin") { backendInstalled = checks.find((check) => check.label === "Mac backend")?.exists; } else { - backendInstalled = checks.find((check) => check.label === "Linux backend")?.exists; + backendInstalled = + checks.find((check) => check.label === "Linux CPU backend")?.exists || + checks.find((check) => check.label === "Linux CPU backend")?.exists || + checks.find((check) => check.label === "Linux Vulkan backend")?.exists || + checks.find((check) => check.label === "Linux ROCm backend")?.exists; } const criticalOk = checks - .filter((check) => !["CUDA backend", "Vulkan backend", "Linux backend", "Mac backend"].includes(check.label)) + .filter((check) => !["CUDA backend", "Vulkan backend", "Linux CPU backend", "Linux Vulkan backend", "Linux ROCm backend", "Mac backend"].includes(check.label)) .every((check) => check.ok) && backendInstalled; const ports = { @@ -408,7 +460,7 @@ async function getHealth() { ports.backend.ok = true; const issues = checks - .filter((check) => !check.ok && !["CUDA backend", "Vulkan backend", "Linux backend", "Mac backend"].includes(check.label)) + .filter((check) => !check.ok && !["CUDA backend", "Vulkan backend", "Linux CPU backend", "Linux Vulkan backend", "Linux ROCm backend", "Mac backend"].includes(check.label)) .map((check) => `${check.label} is missing or not writable.`); if (!backendInstalled) { issues.push(`No ${osPlatform === "win32" ? "Windows" : osPlatform === "darwin" ? "macOS" : "Linux"} backend binary is installed.`); @@ -513,20 +565,35 @@ function hasNvidiaGpu() { } } +function hasAmdGpu() { + const info = getGpuInfo().name.toLowerCase(); + return info.includes("amd") || info.includes("advanced micro devices") || info.includes("radeon"); +} + function getBackendOptions() { if (cachedBackendOptions) return cachedBackendOptions; - const cudaAvailable = osPlatform === "win32" && hasNvidiaGpu() && backendAccepts(BACKEND_PATHS.cuda, "cuda"); - const cudaInstalled = osPlatform === "win32" && fs.existsSync(BACKEND_PATHS.cuda); + const cudaInstalled = (osPlatform === "win32" && fs.existsSync(BACKEND_PATHS.cuda)) || + (osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCuda)); + const cudaAvailable = cudaInstalled && hasNvidiaGpu() && backendAccepts( + osPlatform === "win32" ? BACKEND_PATHS.cuda : BACKEND_PATHS.linuxCuda, + "cuda" + ); const vulkanInstalled = (osPlatform === "win32" && fs.existsSync(BACKEND_PATHS.vulkan)) || - (osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linux)); + (osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxVulkan)); const vulkanAvailable = vulkanInstalled && backendAccepts( - osPlatform === "win32" ? BACKEND_PATHS.vulkan : BACKEND_PATHS.linux, + osPlatform === "win32" ? BACKEND_PATHS.vulkan : BACKEND_PATHS.linuxVulkan, "vulkan" ); + const rocmInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxRocm); + const rocmAvailable = rocmInstalled && hasAmdGpu() && backendAccepts(BACKEND_PATHS.linuxRocm, "rocm"); + const cpuInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCpu); + const options = [{ id: "cpu", label: "CPU", available: true }]; if (vulkanAvailable) options.push({ id: "vulkan", label: "Vulkan GPU", available: true }); + if (rocmAvailable) options.push({ id: "rocm", label: "ROCm GPU (AMD)", available: true }); if (cudaAvailable) options.push({ id: "cuda", label: "CUDA GPU", available: true }); + const unavailable = []; if (vulkanInstalled && !vulkanAvailable) { unavailable.push({ id: "vulkan", label: "Vulkan GPU", reason: "Installed, but this binary did not register a Vulkan backend on this machine." }); @@ -534,6 +601,10 @@ function getBackendOptions() { if (cudaInstalled && !cudaAvailable) { unavailable.push({ id: "cuda", label: "CUDA GPU", reason: "Installed, but CUDA backend validation failed." }); } + if (rocmInstalled && !rocmAvailable) { + unavailable.push({ id: "rocm", label: "ROCm GPU (AMD)", reason: "Installed, but ROCm backend validation failed." }); + } + let defaultBackend = "cpu"; if (cudaAvailable) { const gpuName = String(getGpuInfo().name).toLowerCase(); @@ -543,6 +614,8 @@ function getBackendOptions() { } else { defaultBackend = "cuda"; } + } else if (rocmAvailable) { + defaultBackend = "rocm"; } else if (vulkanAvailable) { defaultBackend = "vulkan"; } @@ -552,6 +625,7 @@ function getBackendOptions() { unavailable, cudaAvailable, vulkanAvailable, + rocmAvailable, defaultBackendType: defaultBackend, }; return cachedBackendOptions; @@ -560,17 +634,36 @@ function getBackendOptions() { function backendAccepts(binaryPath, backendName) { if (!binaryPath || !fs.existsSync(binaryPath)) return false; try { - const result = spawnSync(binaryPath, [ + const probeArgs = [ "--backend", backendName, "--params-backend", backendName, "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", - ], { encoding: "utf8", timeout: 5000 }); - const output = `${result.stdout || ""}\n${result.stderr || ""}`; - if (output.includes("backend config failed") || output.includes(`backend '${backendName}' was not found`)) { + ]; + let result = spawnSync(binaryPath, probeArgs, { encoding: "utf8", timeout: 5000 }); + let output = `${result.stdout || ""}\n${result.stderr || ""}`; + + // Some binaries do not support --backend. If we see "unknown argument", + // retry without backend flags so we can still verify the binary launches. + if (output.includes("unknown argument") && output.includes("--backend")) { + const fallbackArgs = [ + "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), + "--listen-port", "18082", + ]; + result = spawnSync(binaryPath, fallbackArgs, { encoding: "utf8", timeout: 5000 }); + output = `${result.stdout || ""}\n${result.stderr || ""}`; + } + + const lower = output.toLowerCase(); + if (lower.includes("backend config failed") || output.includes(`backend '${backendName}' was not found`)) { return false; } - return output.includes("file") || output.includes("not found") || output.includes("loading model"); + // Reject binaries that fail at the dynamic linker / glibc level. + if (lower.includes("glibc") || lower.includes("libc.so") || lower.includes("libstdc++") || lower.includes("cannot open shared object")) { + return false; + } + // A healthy binary prints project-specific log lines when it tries to load the model. + return lower.includes("stable-diffusion.cpp") || lower.includes("loading model"); } catch (_) { return false; } @@ -578,12 +671,28 @@ function backendAccepts(binaryPath, backendName) { function selectBackendPath(useGpu, backendType = "auto") { const resolvedType = resolveBackendType(useGpu, backendType); - if (osPlatform === "win32" && resolvedType === "cuda" && fs.existsSync(BACKEND_PATHS.cuda)) { - return BACKEND_PATHS.cuda; + if (osPlatform === "win32") { + if (resolvedType === "cuda" && fs.existsSync(BACKEND_PATHS.cuda)) return BACKEND_PATHS.cuda; + if (fs.existsSync(BACKEND_PATHS.vulkan)) return BACKEND_PATHS.vulkan; + return BACKEND_PATH; } - if (osPlatform === "win32" && fs.existsSync(BACKEND_PATHS.vulkan)) { - return BACKEND_PATHS.vulkan; + if (osPlatform === "linux") { + let finalType = resolvedType; + if (finalType === "cuda") { + if (fs.existsSync(BACKEND_PATHS.linuxCuda)) { + return BACKEND_PATHS.linuxCuda; + } + finalType = "vulkan"; + } + if (finalType === "rocm" && fs.existsSync(BACKEND_PATHS.linuxRocm)) return BACKEND_PATHS.linuxRocm; + if (resolvedType === "vulkan" && fs.existsSync(BACKEND_PATHS.linuxVulkan)) return BACKEND_PATHS.linuxVulkan; + if (resolvedType === "cpu" && fs.existsSync(BACKEND_PATHS.linuxCpu)) return BACKEND_PATHS.linuxCpu; + if (fs.existsSync(BACKEND_PATHS.linuxVulkan)) return BACKEND_PATHS.linuxVulkan; + if (fs.existsSync(BACKEND_PATHS.linuxCpu)) return BACKEND_PATHS.linuxCpu; + return BACKEND_PATH; } + // macOS fallback + if (fs.existsSync(BACKEND_PATHS.mac)) return BACKEND_PATHS.mac; return BACKEND_PATH; } @@ -598,6 +707,7 @@ function getBackendMode(backendPath, useGpu, backendType = "auto") { if (useGpu === false || backendType === "cpu") return "CPU"; const name = path.basename(backendPath || "").toLowerCase(); if (name.includes("cuda")) return "CUDA GPU"; + if (name.includes("rocm")) return "ROCm GPU"; if (name.includes("vulkan")) return "Vulkan GPU"; return "GPU"; } @@ -758,12 +868,20 @@ async function startBackend(settings = {}) { "--sampler-rng", "cpu", ); } else if (requestedBackend === "cuda") { + // CUDA is only supported on Windows. Linux has no reliable prebuilt CUDA binary. args.push( "--backend", "cuda0", "--params-backend", "cuda0", "--rng", "cuda", "--sampler-rng", "cuda", ); + } else if (requestedBackend === "rocm") { + args.push( + "--backend", "rocm0", + "--params-backend", "rocm0", + "--rng", "cpu", + "--sampler-rng", "cpu", + ); } if (currentSettings.vaeTiling) { @@ -773,10 +891,30 @@ async function startBackend(settings = {}) { args.push("--vae-on-cpu"); } + // Build environment for Linux backends so bundled .so libraries are found. + // Official Linux releases ship libstable-diffusion.so next to the executable. + const spawnEnv = { ...process.env }; + if (osPlatform === "linux") { + const extraLibs = []; + if (requestedBackend === "rocm") { + extraLibs.push(path.dirname(BACKEND_PATHS.linuxRocm)); + } else if (requestedBackend === "vulkan") { + extraLibs.push(path.dirname(BACKEND_PATHS.linuxVulkan)); + } else if (requestedBackend === "cpu") { + extraLibs.push(path.dirname(BACKEND_PATHS.linuxCpu)); + } else if (requestedBackend === "cuda") { + extraLibs.push(path.dirname(BACKEND_PATHS.linuxCuda)); + } + if (extraLibs.length > 0) { + const existing = spawnEnv.LD_LIBRARY_PATH || ""; + spawnEnv.LD_LIBRARY_PATH = extraLibs.join(":") + (existing ? ":" + existing : ""); + } + } + console.log(" [backend] Starting:", path.basename(backendPath), args.join(" ")); backendReady = false; - backendProc = spawn(backendPath, args, { stdio: "pipe" }); + backendProc = spawn(backendPath, args, { stdio: "pipe", env: spawnEnv }); startBackendReadyPoll(); backendProc.stdout.on("data", d => { @@ -873,6 +1011,10 @@ async function startBackend(settings = {}) { backendLoadState.backendMode = "Vulkan GPU"; currentSettings.backendMode = "Vulkan GPU"; } + if (cleanOutput.includes("ggml_hip") || cleanOutput.includes("ggml_rocm")) { + backendLoadState.backendMode = "ROCm GPU"; + currentSettings.backendMode = "ROCm GPU"; + } if (cleanOutput.includes("[ERROR]")) { const nextError = describeBackendError(cleanOutput.trim(), currentSettings.model); const hasSpecificFileError = String(backendError || "").includes("incomplete or corrupted"); diff --git a/scripts/setup.sh b/scripts/setup.sh new file mode 100755 index 0000000..8c47af1 --- /dev/null +++ b/scripts/setup.sh @@ -0,0 +1,327 @@ +#!/usr/bin/env bash +# +# Local AI Image Generator - Linux Setup Script +# Self-contained: no apt/yum/pacman, no global Node.js install. +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +ROOT_DIR="$(dirname "$SCRIPT_DIR")" +APP_DIR="$ROOT_DIR/app" +FRONTEND_DIR="$APP_DIR/frontend" +TOOLS_DIR="$APP_DIR/tools" +NODE_DIR="$TOOLS_DIR/node-linux" +NODE_BIN="$NODE_DIR/bin/node" +NPM_BIN="$NODE_DIR/bin/npm" +DIST_DIR="$APP_DIR/dist" +BACKEND_DIR="$APP_DIR/backend/linux" + +# Release pins +SD_RELEASE="master-685-19bdfe2" +SD_SHORT_HASH="${SD_RELEASE##*-}" +SD_BASE_URL="https://github.com/leejet/stable-diffusion.cpp/releases/download/$SD_RELEASE" +NODE_VERSION="22.12.0" +NODE_TARBALL="node-v${NODE_VERSION}-linux-x64.tar.xz" +NODE_URL="https://nodejs.org/dist/v${NODE_VERSION}/$NODE_TARBALL" + +# Flags +MAX_PERF=0 +if [[ "${1:-}" == "--max-perf" ]]; then + MAX_PERF=1 +fi + +# ── Helpers ───────────────────────────────────────────────────────────────── +print_header() { + clear 2>/dev/null || true + echo "" + echo " ============================================================" + echo " LOCAL AI IMAGE GENERATOR - Linux First-Time Setup" + echo " 100% Self-Contained | No System Install Required" + echo " ============================================================" + echo "" +} + +print_step() { + local n="$1" total="$2" title="$3" + echo "" + echo " [$n/$total] $title" + echo " ------------------------------------------------------------" +} + +print_ok() { echo " OK $1"; } +print_info() { echo " >> $1"; } +print_warn() { echo " !! $1"; } +print_fail() { echo " XX $1"; } + +format_bytes() { + local b="${1:-0}" + if command -v bc >/dev/null 2>&1; then + if (( b > 1073741824 )); then printf "%.2f GB" "$(echo "scale=4; $b / 1073741824" | bc)"; return; fi + if (( b > 1048576 )); then printf "%.1f MB" "$(echo "scale=4; $b / 1048576" | bc)"; return; fi + if (( b > 1024 )); then printf "%.0f KB" "$(echo "scale=4; $b / 1024" | bc)"; return; fi + else + if (( b > 1073741824 )); then printf "%.2f GB" "$(awk "BEGIN {printf \"%.2f\", $b/1073741824}")"; return; fi + if (( b > 1048576 )); then printf "%.1f MB" "$(awk "BEGIN {printf \"%.1f\", $b/1048576}")"; return; fi + if (( b > 1024 )); then printf "%.0f KB" "$(awk "BEGIN {printf \"%.0f\", $b/1024}")"; return; fi + fi + printf "%s B" "$b" +} + +# Rich download with progress bar +download_file() { + local url="$1" dest="$2" label="$3" + print_info "Downloading: $label" + echo "" + + local tmp_dest="${dest}.part" + rm -f "$tmp_dest" + + curl -fSL --progress-bar "$url" -o "$tmp_dest" || { + print_fail "Download failed: $url" + rm -f "$tmp_dest" + return 1 + } + + mv "$tmp_dest" "$dest" + echo "" + local fsize + fsize="$(stat -c%s "$dest" 2>/dev/null || stat -f%z "$dest" 2>/dev/null || echo 0)" + print_ok "Downloaded $(format_bytes "$fsize")" +} + +# Extract ZIP using Python zipfile (preferred), unzip, or Node.js adm-zip +extract_zip() { + local zip_path="$1" dest="$2" label="$3" + print_info "Extracting: $label" + mkdir -p "$dest" + + # Prefer Python zipfile (most reliable, no host deps beyond python3) + if command -v python3 >/dev/null 2>&1; then + python3 -c " +import zipfile, sys, os +with zipfile.ZipFile(sys.argv[1], 'r') as z: + for member in z.namelist(): + z.extract(member, sys.argv[2]) +" "$zip_path" "$dest" && return 0 + fi + + if command -v unzip >/dev/null 2>&1; then + unzip -o -q "$zip_path" -d "$dest" && return 0 + fi + + if command -v python >/dev/null 2>&1; then + python -c "import zipfile, sys; zipfile.ZipFile(sys.argv[1], 'r').extractall(sys.argv[2])" "$zip_path" "$dest" && return 0 + fi + + print_fail "No ZIP extractor available (tried python3, unzip, python)." + return 1 +} + +# Extract tar.xz +extract_tarxz() { + local tar_path="$1" dest="$2" label="$3" + print_info "Extracting: $label" + mkdir -p "$dest" + tar -xf "$tar_path" -C "$dest" + print_ok "Extracted $label" +} + +detect_gpu_vendor() { + local vendor="" + if [[ -d /sys/bus/pci/devices ]]; then + for vfile in /sys/bus/pci/devices/*/vendor; do + if [[ -f "$vfile" ]]; then + local vid + vid="$(cat "$vfile" 2>/dev/null || true)" + case "$vid" in + "0x10de") vendor="nvidia" ;; + "0x1002") vendor="amd" ;; + "0x8086") [[ -z "$vendor" ]] && vendor="intel" ;; + esac + fi + done + fi + echo "$vendor" +} + +# Official Linux binaries are built on Ubuntu 24.04 and link against glibc 2.38+. +# This routine prints a warning on older distributions so users know upfront. +check_glibc() { + local required="2.38" + local current="" + if command -v ldd >/dev/null 2>&1; then + current="$(ldd --version 2>/dev/null | head -n1 | grep -oP '[0-9]+\.[0-9]+' | head -n1 || true)" + fi + if [[ -z "$current" ]]; then + print_warn "Could not detect glibc version. Prebuilt Linux backends require glibc $required+ (Ubuntu 24.04)." + return + fi + if [[ "$(printf '%s\n' "$required" "$current" | sort -V | head -n1)" != "$required" ]]; then + print_warn "Detected glibc $current. Prebuilt Linux backends require glibc $required+ (Ubuntu 24.04)." + print_info "You can still use the app, but the downloaded backends will not start on this system." + print_info "To fix: upgrade to Ubuntu 24.04+ or build stable-diffusion.cpp from source (see README)." + fi +} + +copy_binaries_from_extracted() { + local extracted_dir="$1" dest_dir="$2" main_name="$3" server_name="$4" + + while IFS= read -r -d '' f; do + local base + base="$(basename "$f")" + case "$base" in + sd|sd-cli) cp "$f" "$dest_dir/$main_name" ;; + sd-server) cp "$f" "$dest_dir/$server_name" ;; + esac + done < <(find "$extracted_dir" -type f \( -name "sd" -o -name "sd-cli" -o -name "sd-server" \) -print0 2>/dev/null) + + # Copy any .so files + find "$extracted_dir" -type f -name "*.so" -exec cp {} "$dest_dir/" \; 2>/dev/null || true +} + +# ════════════════════════════════════════════════════════════════════════════ +print_header + +check_glibc + +TOTAL_STEPS=4 + +# ── Step 1: Portable Node.js ──────────────────────────────────────────────── +print_step 1 $TOTAL_STEPS "Setting up portable Node.js (app/tools/node-linux/)" + +if [[ -x "$NODE_BIN" && -x "$NPM_BIN" ]]; then + VERSION=$("$NODE_BIN" --version) + print_ok "Portable Node.js already ready: $VERSION" +else + mkdir -p "$TOOLS_DIR" + NODE_TAR_PATH="$TOOLS_DIR/$NODE_TARBALL" + + download_file "$NODE_URL" "$NODE_TAR_PATH" "Node.js v${NODE_VERSION} LTS (Portable tarball)" + extract_tarxz "$NODE_TAR_PATH" "$TOOLS_DIR" "Node.js" + rm -f "$NODE_TAR_PATH" + + EXTRACTED_DIR="$(find "$TOOLS_DIR" -maxdepth 1 -type d -name 'node-v*-linux-x64' | head -n 1)" + if [[ -d "$EXTRACTED_DIR" ]]; then + rm -rf "$NODE_DIR" + mv "$EXTRACTED_DIR" "$NODE_DIR" + fi + + if [[ ! -x "$NODE_BIN" || ! -x "$NPM_BIN" ]]; then + print_fail "Portable Node.js install is incomplete." + exit 1 + fi + + VERSION=$("$NODE_BIN" --version) + print_ok "Portable Node.js ready: $VERSION" +fi + +# ── Step 2: stable-diffusion.cpp Backends ─────────────────────────────────── +VENDOR="$(detect_gpu_vendor)" +print_step 2 $TOTAL_STEPS "Detecting GPU vendor: ${VENDOR:-none}" + +mkdir -p "$BACKEND_DIR" + +# CPU backend (always) +CPU_BACKEND_DIR="$BACKEND_DIR/cpu" +if [[ ! -f "$CPU_BACKEND_DIR/sd-cpu" ]]; then + mkdir -p "$CPU_BACKEND_DIR" + CPU_ZIP="$TOOLS_DIR/sd-cpu.zip" + download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Linux-Ubuntu-24.04-x86_64.zip" "$CPU_ZIP" "stable-diffusion.cpp CPU Backend (Linux x86_64)" + extract_zip "$CPU_ZIP" "$CPU_BACKEND_DIR/extracted" "CPU Backend" + rm -f "$CPU_ZIP" + copy_binaries_from_extracted "$CPU_BACKEND_DIR/extracted" "$CPU_BACKEND_DIR" "sd-cpu" "sd-server-cpu" + rm -rf "$CPU_BACKEND_DIR/extracted" + chmod +x "$CPU_BACKEND_DIR/sd-cpu" 2>/dev/null || true + print_ok "CPU backend installed." +else + print_ok "CPU backend already ready." +fi + +# Vulkan backend (always - cross-vendor GPU fallback) +VULKAN_BACKEND_DIR="$BACKEND_DIR/vulkan" +if [[ ! -f "$VULKAN_BACKEND_DIR/sd-vulkan" ]]; then + mkdir -p "$VULKAN_BACKEND_DIR" + VULKAN_ZIP="$TOOLS_DIR/sd-vulkan.zip" + download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Linux-Ubuntu-24.04-x86_64-vulkan.zip" "$VULKAN_ZIP" "stable-diffusion.cpp Vulkan Backend (Linux x86_64)" + extract_zip "$VULKAN_ZIP" "$VULKAN_BACKEND_DIR/extracted" "Vulkan Backend" + rm -f "$VULKAN_ZIP" + copy_binaries_from_extracted "$VULKAN_BACKEND_DIR/extracted" "$VULKAN_BACKEND_DIR" "sd-vulkan" "sd-server-vulkan" + rm -rf "$VULKAN_BACKEND_DIR/extracted" + chmod +x "$VULKAN_BACKEND_DIR/sd-vulkan" 2>/dev/null || true + print_ok "Vulkan backend installed." +else + print_ok "Vulkan backend already ready." +fi + +# ROCm backend (optional --max-perf, or auto-detected AMD) +ROCM_BACKEND_DIR="$BACKEND_DIR/rocm" +if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "amd" || "$VENDOR" == "" ]]; then + if [[ ! -f "$ROCM_BACKEND_DIR/sd-rocm" ]]; then + mkdir -p "$ROCM_BACKEND_DIR" + ROCM_ZIP="$TOOLS_DIR/sd-rocm.zip" + print_warn "ROCm backend is ~1.2 GB. This may take a while..." + download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Linux-Ubuntu-24.04-x86_64-rocm-7.13.0.zip" "$ROCM_ZIP" "stable-diffusion.cpp ROCm Backend (Linux x86_64)" + extract_zip "$ROCM_ZIP" "$ROCM_BACKEND_DIR/extracted" "ROCm Backend" + rm -f "$ROCM_ZIP" + copy_binaries_from_extracted "$ROCM_BACKEND_DIR/extracted" "$ROCM_BACKEND_DIR" "sd-rocm" "sd-server-rocm" + rm -rf "$ROCM_BACKEND_DIR/extracted" + chmod +x "$ROCM_BACKEND_DIR/sd-rocm" 2>/dev/null || true + print_ok "ROCm backend installed." + else + print_ok "ROCm backend already ready." + fi +fi + +# CUDA backend on Linux is intentionally disabled. +# upstream leejet/stable-diffusion.cpp does not publish official Linux CUDA binaries +# (see https://github.com/leejet/stable-diffusion.cpp/issues/1291), and the only +# third-party build we evaluated (leaxer-ai/leaxer-stable-diffusion v0.1.0) loads +# models but segfaults during generation. Until a reliable Linux CUDA binary is +# available, Linux NVIDIA systems fall back to the Vulkan backend, which uses the +# same GPU via the vendor's Vulkan driver. +if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "nvidia" ]]; then + print_info "Linux CUDA backend is disabled pending a reliable upstream binary." + print_info "NVIDIA GPUs on Linux will use the Vulkan backend instead." +fi + +# ── Step 3: npm install ───────────────────────────────────────────────────── +print_step 3 $TOTAL_STEPS "Installing frontend dependencies (app/frontend/)" + +if [[ ! -x "$NPM_BIN" ]]; then + print_fail "Portable npm was not found at $NPM_BIN" + exit 1 +fi + +cd "$FRONTEND_DIR" +export PATH="$NODE_DIR/bin:$PATH" + +if "$NPM_BIN" install --prefer-offline; then + print_ok "Dependencies installed!" +else + print_fail "npm install failed." + exit 1 +fi + +# ── Step 4: Build frontend ────────────────────────────────────────────────── +print_step 4 $TOTAL_STEPS "Building frontend -> app/dist/" + +if "$NPM_BIN" run build; then + print_ok "Frontend built!" +else + print_fail "Frontend build failed." + exit 1 +fi + +# ── Done ──────────────────────────────────────────────────────────────────── +echo "" +echo " ============================================================" +echo " Setup complete! Run ./start.sh to launch." +echo " ============================================================" +echo "" + +if [[ $MAX_PERF -eq 0 ]] && [[ "$VENDOR" == "nvidia" || "$VENDOR" == "amd" ]]; then + echo " Tip: For maximum GPU performance, re-run with:" + echo " ./scripts/setup.sh --max-perf" + echo "" +fi diff --git a/start.sh b/start.sh new file mode 100755 index 0000000..399e82f --- /dev/null +++ b/start.sh @@ -0,0 +1,134 @@ +#!/usr/bin/env bash +# +# Local AI Image Generator - Linux Launcher +# Double-click or run: ./start.sh +# Use --max-perf to enable ROCm/CUDA backend downloads on first setup. +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +APP_DIR="$SCRIPT_DIR/app" +NODE_DIR="$APP_DIR/tools/node-linux" +NODE_BIN="$NODE_DIR/bin/node" +DIST_INDEX="$APP_DIR/dist/index.html" +SETUP_SCRIPT="$SCRIPT_DIR/scripts/setup.sh" +SERVE_SCRIPT="$SCRIPT_DIR/scripts/serve.cjs" + +FRONTEND_PORT="${FRONTEND_PORT:-1420}" +SETUP_REASON="" +SETUP_MODE="Repair" +MAX_PERF_FLAG="" + +# Parse args +if [[ "${1:-}" == "--max-perf" ]]; then + MAX_PERF_FLAG="--max-perf" +fi + +# ── First-time setup check ───────────────────────────────────────────────── +if [[ ! -d "$NODE_DIR" ]]; then + SETUP_MODE="First-Time Setup" +fi + +if [[ ! -x "$NODE_BIN" ]]; then + SETUP_REASON="Portable Node.js is missing." +fi + +if [[ ! -f "$DIST_INDEX" ]]; then + SETUP_REASON="Frontend build is missing." +fi + +# At minimum we need CPU or Vulkan backend on Linux +if [[ ! -f "$APP_DIR/backend/linux/cpu/sd-cpu" && ! -f "$APP_DIR/backend/linux/vulkan/sd-vulkan" ]]; then + SETUP_REASON="No Linux backend binary is installed." +fi + +if [[ -n "$SETUP_REASON" ]]; then + echo "" + echo " ============================================================" + echo " LOCAL AI IMAGE GENERATOR | $SETUP_MODE" + echo " ============================================================" + echo "" + if [[ "$SETUP_MODE" == "First-Time Setup" ]]; then + echo " This looks like your first run. Setting up automatically..." + else + echo " Local AI Image Generator needs a quick repair before launch." + fi + echo " Reason: $SETUP_REASON" + echo " Models are not downloaded during setup. Download or import them in the app." + echo "" + read -rp " Press Enter to continue, or Ctrl+C to cancel." + + # Clear any existing frontend server process + if command -v fuser >/dev/null 2>&1; then + fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fi + + if ! bash "$SETUP_SCRIPT" $MAX_PERF_FLAG; then + echo "" + echo " [ERROR] Setup failed. Please check the output above." + read -rp " Press Enter to close..." + exit 1 + fi +fi + +# ── Launch ───────────────────────────────────────────────────────────────── +clear 2>/dev/null || true +echo "" +echo " ============================================================" +echo " LOCAL AI IMAGE GENERATOR | Launching..." +echo " ============================================================" +echo "" + +# Clear frontend port +if command -v fuser >/dev/null 2>&1; then + fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true +fi + +# Start the server +echo " Starting Local AI Image Generator..." +export PATH="$NODE_DIR/bin:$PATH" +export FRONTEND_PORT="$FRONTEND_PORT" + +# Run server in background and capture PID +"$NODE_BIN" "$SERVE_SCRIPT" & +SERVER_PID=$! + +# Wait for server to be ready +sleep 2 + +# Open browser +if command -v xdg-open >/dev/null 2>&1; then + echo " Opening browser at http://localhost:${FRONTEND_PORT}" + xdg-open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & +else + echo " Open your browser to: http://localhost:${FRONTEND_PORT}" +fi + +echo "" +echo " ============================================================" +echo " Running!" +echo " Web UI: http://localhost:${FRONTEND_PORT}" +echo " GPU API: Auto-selected by the app (starts at 8080)" +echo "" +echo " Press Ctrl+C in this window to stop all services." +echo " ============================================================" +echo "" + +# Cleanup on exit +cleanup() { + echo "" + echo " Shutting down..." + if kill -0 "$SERVER_PID" >/dev/null 2>&1; then + kill -TERM "$SERVER_PID" >/dev/null 2>&1 || true + sleep 1 + kill -KILL "$SERVER_PID" >/dev/null 2>&1 || true + fi + echo " Done. Goodbye!" + exit 0 +} +trap cleanup SIGINT SIGTERM + +# Keep script alive +wait "$SERVER_PID" || true +cleanup From bbe4fe5f093a1adc8bffcde8e711859d0b09f640 Mon Sep 17 00:00:00 2001 From: techjarves Date: Tue, 9 Jun 2026 17:02:34 +0530 Subject: [PATCH 02/69] feat: add portable backend manager and static file server with hardware telemetry support --- README.md | 36 ++++++++++--- app/dist/index.html | 32 ++++++------ app/frontend/package-lock.json | 6 +-- scripts/build_from_source.sh | 40 +++++++++++++-- scripts/reset.sh | 2 +- scripts/serve.cjs | 68 ++++++++++++++++++++---- scripts/setup.sh | 94 +++++++++++++++++++++++++++++----- start.sh | 35 ++++++++++--- 8 files changed, 250 insertions(+), 63 deletions(-) diff --git a/README.md b/README.md index fa75ae6..cb57220 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # 🖼️ Local AI Image Generator -### An easy, zero-setup Stable Diffusion GUI for Windows and Linux. Run GGUF & Safetensors models offline without Python configuration. +### An easy, zero-setup Stable Diffusion GUI for Windows, Linux, and macOS. Run GGUF & Safetensors models offline without Python configuration. @@ -22,7 +22,7 @@ --- ## 📖 Overview -**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows and Linux. Double-clicking `start.bat` (Windows) or running `./start.sh` (Linux) automatically handles dependency setup, GPU backend matching, and launches a high-performance local web workspace. +**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows, Linux, and macOS. Double-clicking `start.bat` (Windows) or running `./start.sh` (Linux/macOS) automatically handles dependency setup, GPU backend matching, and launches a high-performance local web workspace. --- @@ -40,11 +40,17 @@ 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. +### macOS +1. **Check compatibility:** The prebuilt macOS backend is for **Apple Silicon (M1 or newer)** and uses **Metal** GPU acceleration. +2. **Launch:** Open Terminal in the project folder and run **`./start.sh`** (downloads portable Node.js and the pre-compiled Metal backend on first run). +3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). +4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. + --- ## ✨ Features * **100% Offline & Private:** Inference runs completely locally on your hardware. -* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, **ROCm** for AMD cards, and **Vulkan** for AMD/Intel/NVIDIA fallback. +* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, **ROCm** for AMD cards, **Vulkan** for AMD/Intel/NVIDIA fallback, and **Metal** for Apple Silicon Macs. * **Zero System Footprint:** Node.js is sandboxed inside the folder. No global environment paths are altered. * **Integrated Model Manager:** Paste a Hugging Face URL to download weights directly, or drag-and-drop local weight files to import them. * **Real-time Telemetry:** Monitor RAM, VRAM, CPU, and GPU load directly in the UI. @@ -56,16 +62,16 @@ ``` local-ai-image-generator/ ├── start.bat # Main double-click entrypoint (Windows) -├── start.sh # Main terminal entrypoint (Linux) +├── start.sh # Main terminal entrypoint (Linux/macOS) ├── PLAN.md # Linux port implementation plan ├── LICENSE # MIT Open Source license ├── .gitignore ├── README.md ├── scripts/ │ ├── setup.ps1 # Automated GPU-detect and environment installer (Windows) -│ ├── setup.sh # Automated GPU-detect and environment installer (Linux) +│ ├── setup.sh # Automated GPU-detect and environment installer (Linux/macOS) │ ├── reset.ps1 # Cleans runtime environments (Windows) -│ ├── reset.sh # Cleans runtime environments (Linux) +│ ├── reset.sh # Cleans runtime environments (Linux/macOS) │ └── serve.cjs # UI web server and backend lifecycle manager └── app/ ├── frontend/ # UI source code (Vite + React) @@ -95,9 +101,17 @@ local-ai-image-generator/ | **Intel Arc / integrated** | Vulkan | CPU | Cross-vendor Vulkan support. | | **Integrated / None** | CPU | — | Runs on logical CPU threads (slow). | +### macOS + +| Hardware | Primary | Fallback | Notes | +| :--- | :--- | :--- | :--- | +| **Apple Silicon (M1 or newer)** | Metal | CPU | Uses the official Darwin arm64 stable-diffusion.cpp backend. | +| **Intel Mac** | Source build required | CPU | Official prebuilt macOS backend is Apple Silicon only. | + **System requirements:** - **glibc 2.38 or newer** is required for the prebuilt Linux backends (Ubuntu 24.04, Fedora 40+, etc.). - The setup script will warn you if your glibc is older. You can still run setup, but the prebuilt backends will not start. +- **Apple Silicon (M1 or newer)** is required for the prebuilt macOS Metal backend. **Linux setup modes:** - **Default (`./start.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). @@ -118,7 +132,7 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution --- ## 🛠️ Troubleshooting -* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1` (Windows) or `scripts/reset.sh` (Linux). (This preserves your models and generated images). +* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1` (Windows) or `scripts/reset.sh` (Linux/macOS). (This preserves your models and generated images). * **Port Conflicts:** The frontend uses `1420` by default. The backend tries `8080` first, then automatically falls back to a free port if `8080` is already busy. * **Linux backends fail to start with `GLIBC_2.38' not found`:** The prebuilt binaries require glibc 2.38+ (Ubuntu 24.04). Upgrade your distribution or build stable-diffusion.cpp from source (see below). * **Linux ROCm not loading:** Make sure your AMD GPU and kernel are compatible with ROCm 7.13. The app will automatically fall back to Vulkan if ROCm cannot initialize. @@ -130,11 +144,14 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution If your distribution has an older glibc than 2.38, or you want a CUDA backend on Linux, you can build `stable-diffusion.cpp` directly on your machine. The resulting binary will be linked against your system's glibc and will not have the compatibility issues of the prebuilt releases. +For macOS, the included `scripts/build_from_source.sh` builds the Metal backend and copies it to `app/backend/mac/sd`. + ### Requirements - `git`, `cmake`, `make` (or `ninja`), and a C++17 compiler (`g++` / `clang++`). - For **CUDA**: the NVIDIA CUDA toolkit (`nvcc`) must be on your `PATH`. - For **Vulkan**: the Vulkan SDK / loader and a compatible driver. - For **ROCm**: AMD ROCm development libraries. +- For **macOS Metal**: Apple Command Line Tools or Xcode. ### Build commands @@ -157,8 +174,11 @@ cmake .. -DSD_VULKAN=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release # ROCm cmake .. -DSD_HIPBLAS=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release +# macOS Metal +cmake .. -DSD_METAL=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + # 3. Build -cmake --build . --config Release -j$(nproc) +cmake --build . --config Release -j$(getconf _NPROCESSORS_ONLN 2>/dev/null || sysctl -n hw.ncpu) # 4. Copy the binaries into this project cp bin/sd* /path/to/Local-AI-Image-Generator/app/backend/linux// diff --git a/app/dist/index.html b/app/dist/index.html index eee907d..cdd6929 100644 --- a/app/dist/index.html +++ b/app/dist/index.html @@ -1,18 +1,18 @@ - - - - - - - - - - Local AI Image Generator + + + + + + + + + + Local AI Image Generator - - - -
- - + + + +
+ + diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json index 6b97d45..9e49789 100644 --- a/app/frontend/package-lock.json +++ b/app/frontend/package-lock.json @@ -1554,9 +1554,9 @@ } }, "node_modules/electron-to-chromium": { - "version": "1.5.369", - "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.369.tgz", - "integrity": "sha512-XM22K9FNaaCOvMMrBn1caIc8v0g6+pKt660ZbfQqUZvfil0hEzr8ZoiY7VcSLGM3L/x3rz5PqZrk+bKOOmVM9w==", + "version": "1.5.370", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.370.tgz", + "integrity": "sha512-D5tSHJReAb/Kf3Hu9F/GO4lJuSWzEWHwvQ/kKSUP7pimNgvxkSKj+gUQhHpKKACwrin7rS3byU7IxreF56rl5g==", "dev": true, "license": "ISC" }, diff --git a/scripts/build_from_source.sh b/scripts/build_from_source.sh index f2e3786..6b39a34 100755 --- a/scripts/build_from_source.sh +++ b/scripts/build_from_source.sh @@ -1,7 +1,7 @@ #!/usr/bin/env bash # # Local AI Image Generator - Compile backends from source -# For systems with GLIBC < 2.38 (e.g. Ubuntu 22.04) +# For Linux systems with GLIBC < 2.38 or macOS systems that need a local Metal build. # set -euo pipefail @@ -9,8 +9,14 @@ set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" ROOT_DIR="$(dirname "$SCRIPT_DIR")" APP_DIR="$ROOT_DIR/app" -BACKEND_DIR="$APP_DIR/backend/linux" +PLATFORM="$(uname -s)" +if [ "$PLATFORM" = "Darwin" ]; then + BACKEND_DIR="$APP_DIR/backend/mac" +else + BACKEND_DIR="$APP_DIR/backend/linux" +fi BUILD_DIR="$APP_DIR/tools/build-sd" +JOBS="$(getconf _NPROCESSORS_ONLN 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)" # Pinned release tag PINNED_TAG="master-685-19bdfe2" @@ -35,12 +41,36 @@ git fetch origin git checkout -f "$PINNED_TAG" git submodule update --init --recursive +if [ "$PLATFORM" = "Darwin" ]; then + echo "" + echo "=== Building macOS Metal Backend ===" + rm -rf build-metal && mkdir build-metal && cd build-metal + cmake .. -DSD_METAL=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release + cmake --build . --config Release -j"$JOBS" + + echo "Copying macOS Metal backend..." + mkdir -p "$BACKEND_DIR" + if [ -f bin/sd-server ]; then + cp bin/sd-server "$BACKEND_DIR/sd" + elif [ -f bin/sd ]; then + cp bin/sd "$BACKEND_DIR/sd" + else + echo "ERROR: bin/sd-server or bin/sd was not found!" + exit 1 + fi + find . -name "*.dylib" -exec cp {} "$BACKEND_DIR/" \; 2>/dev/null || true + chmod +x "$BACKEND_DIR/sd" + echo "" + echo "=== macOS Metal build completed successfully! ===" + exit 0 +fi + # 2. Build CPU Backend echo "" echo "=== Building CPU Backend ===" rm -rf build-cpu && mkdir build-cpu && cd build-cpu cmake .. -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -cmake --build . --config Release -j$(nproc) +cmake --build . --config Release -j"$JOBS" echo "Copying CPU binaries..." mkdir -p "$BACKEND_DIR/cpu" @@ -71,7 +101,7 @@ echo "" echo "=== Building Vulkan Backend ===" if rm -rf build-vulkan && mkdir build-vulkan && cd build-vulkan && \ cmake .. -DSD_VULKAN=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release && \ - cmake --build . --config Release -j$(nproc); then + cmake --build . --config Release -j"$JOBS"; then echo "Copying Vulkan binaries..." mkdir -p "$BACKEND_DIR/vulkan" @@ -102,7 +132,7 @@ echo "" echo "=== Building CUDA Backend ===" rm -rf build-cuda && mkdir build-cuda && cd build-cuda cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -cmake --build . --config Release -j$(nproc) +cmake --build . --config Release -j"$JOBS" echo "Copying CUDA binaries..." mkdir -p "$BACKEND_DIR/cuda" diff --git a/scripts/reset.sh b/scripts/reset.sh index 81995e1..ca27b07 100755 --- a/scripts/reset.sh +++ b/scripts/reset.sh @@ -1,6 +1,6 @@ #!/usr/bin/env bash # -# Local AI Image Generator - Linux Reset Script +# Local AI Image Generator - Linux/macOS Reset Script # Resets portable app dependencies/builds while preserving user models and outputs. # diff --git a/scripts/serve.cjs b/scripts/serve.cjs index c63775e..2c75f5f 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -28,10 +28,10 @@ const BACKEND_PATHS = { cuda: path.join(ROOT, "app", "backend", "win", "cuda", "sd-cuda.exe"), vulkan: path.join(ROOT, "app", "backend", "win", "vulkan", "sd-vulkan.exe"), mac: path.join(ROOT, "app", "backend", "mac", "sd"), - linuxCpu: path.join(ROOT, "app", "backend", "linux", "cpu", "sd-cpu"), - linuxVulkan: path.join(ROOT, "app", "backend", "linux", "vulkan", "sd-vulkan"), - linuxRocm: path.join(ROOT, "app", "backend", "linux", "rocm", "sd-rocm"), - linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-cuda"), + linuxCpu: path.join(ROOT, "app", "backend", "linux", "cpu", "sd-server-cpu"), + linuxVulkan: path.join(ROOT, "app", "backend", "linux", "vulkan", "sd-server-vulkan"), + linuxRocm: path.join(ROOT, "app", "backend", "linux", "rocm", "sd-server-rocm"), + linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-server-cuda"), }; let BACKEND_PATH = ""; if (osPlatform === "win32") { @@ -188,6 +188,21 @@ function getGpuInfo() { } } + if (osPlatform === "darwin") { + try { + const output = execSync( + "system_profiler SPDisplaysDataType | awk -F': ' '/Chipset Model|Vendor/ {print $2; exit}'", + { encoding: "utf8", stdio: ["ignore", "pipe", "ignore"] }, + ).trim(); + if (output) { + cachedGpuInfo = { name: output }; + return cachedGpuInfo; + } + } catch (_) {} + cachedGpuInfo = { name: "Apple Metal GPU" }; + return cachedGpuInfo; + } + cachedGpuInfo = { name: "Unavailable" }; return cachedGpuInfo; } @@ -588,8 +603,11 @@ function getBackendOptions() { const rocmInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxRocm); const rocmAvailable = rocmInstalled && hasAmdGpu() && backendAccepts(BACKEND_PATHS.linuxRocm, "rocm"); const cpuInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCpu); + const metalInstalled = osPlatform === "darwin" && fs.existsSync(BACKEND_PATHS.mac); + const metalAvailable = metalInstalled && backendAccepts(BACKEND_PATHS.mac, "metal"); const options = [{ id: "cpu", label: "CPU", available: true }]; + if (metalAvailable) options.push({ id: "metal", label: "Metal GPU", available: true }); if (vulkanAvailable) options.push({ id: "vulkan", label: "Vulkan GPU", available: true }); if (rocmAvailable) options.push({ id: "rocm", label: "ROCm GPU (AMD)", available: true }); if (cudaAvailable) options.push({ id: "cuda", label: "CUDA GPU", available: true }); @@ -604,9 +622,14 @@ function getBackendOptions() { if (rocmInstalled && !rocmAvailable) { unavailable.push({ id: "rocm", label: "ROCm GPU (AMD)", reason: "Installed, but ROCm backend validation failed." }); } + if (metalInstalled && !metalAvailable) { + unavailable.push({ id: "metal", label: "Metal GPU", reason: "Installed, but Metal backend validation failed." }); + } let defaultBackend = "cpu"; - if (cudaAvailable) { + if (metalAvailable) { + defaultBackend = "metal"; + } else if (cudaAvailable) { const gpuName = String(getGpuInfo().name).toLowerCase(); const isGtxCard = gpuName.includes("gtx"); if (isGtxCard && vulkanAvailable) { @@ -626,6 +649,7 @@ function getBackendOptions() { cudaAvailable, vulkanAvailable, rocmAvailable, + metalAvailable, defaultBackendType: defaultBackend, }; return cachedBackendOptions; @@ -640,7 +664,17 @@ function backendAccepts(binaryPath, backendName) { "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; - let result = spawnSync(binaryPath, probeArgs, { encoding: "utf8", timeout: 5000 }); + const spawnEnv = { ...process.env }; + if (osPlatform === "linux") { + const dir = path.dirname(binaryPath); + const existing = spawnEnv.LD_LIBRARY_PATH || ""; + spawnEnv.LD_LIBRARY_PATH = dir + (existing ? ":" + existing : ""); + } else if (osPlatform === "darwin") { + const dir = path.dirname(binaryPath); + const existing = spawnEnv.DYLD_LIBRARY_PATH || ""; + spawnEnv.DYLD_LIBRARY_PATH = dir + (existing ? ":" + existing : ""); + } + let result = spawnSync(binaryPath, probeArgs, { encoding: "utf8", timeout: 5000, env: spawnEnv }); let output = `${result.stdout || ""}\n${result.stderr || ""}`; // Some binaries do not support --backend. If we see "unknown argument", @@ -650,7 +684,7 @@ function backendAccepts(binaryPath, backendName) { "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; - result = spawnSync(binaryPath, fallbackArgs, { encoding: "utf8", timeout: 5000 }); + result = spawnSync(binaryPath, fallbackArgs, { encoding: "utf8", timeout: 5000, env: spawnEnv }); output = `${result.stdout || ""}\n${result.stderr || ""}`; } @@ -691,7 +725,11 @@ function selectBackendPath(useGpu, backendType = "auto") { if (fs.existsSync(BACKEND_PATHS.linuxCpu)) return BACKEND_PATHS.linuxCpu; return BACKEND_PATH; } - // macOS fallback + if (osPlatform === "darwin") { + if (fs.existsSync(BACKEND_PATHS.mac)) return BACKEND_PATHS.mac; + return BACKEND_PATH; + } + // generic fallback if (fs.existsSync(BACKEND_PATHS.mac)) return BACKEND_PATHS.mac; return BACKEND_PATH; } @@ -709,6 +747,7 @@ function getBackendMode(backendPath, useGpu, backendType = "auto") { if (name.includes("cuda")) return "CUDA GPU"; if (name.includes("rocm")) return "ROCm GPU"; if (name.includes("vulkan")) return "Vulkan GPU"; + if (osPlatform === "darwin" || backendType === "metal") return "Metal GPU"; return "GPU"; } @@ -882,6 +921,13 @@ async function startBackend(settings = {}) { "--rng", "cpu", "--sampler-rng", "cpu", ); + } else if (requestedBackend === "metal") { + args.push( + "--backend", "metal", + "--params-backend", "metal", + "--rng", "cpu", + "--sampler-rng", "cpu", + ); } if (currentSettings.vaeTiling) { @@ -909,6 +955,10 @@ async function startBackend(settings = {}) { const existing = spawnEnv.LD_LIBRARY_PATH || ""; spawnEnv.LD_LIBRARY_PATH = extraLibs.join(":") + (existing ? ":" + existing : ""); } + } else if (osPlatform === "darwin") { + const existing = spawnEnv.DYLD_LIBRARY_PATH || ""; + const backendDir = path.dirname(BACKEND_PATHS.mac); + spawnEnv.DYLD_LIBRARY_PATH = backendDir + (existing ? ":" + existing : ""); } console.log(" [backend] Starting:", path.basename(backendPath), args.join(" ")); @@ -1825,7 +1875,7 @@ const server = http.createServer(async (req, res) => { }); }); -server.listen(PORT_FRONTEND, "127.0.0.1", () => { +server.listen(PORT_FRONTEND, "0.0.0.0", () => { console.log(""); console.log(" ============================================================"); console.log(" LOCAL AI IMAGE GENERATOR | Running"); diff --git a/scripts/setup.sh b/scripts/setup.sh index 8c47af1..5ad0d56 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -1,6 +1,6 @@ #!/usr/bin/env bash # -# Local AI Image Generator - Linux Setup Script +# Local AI Image Generator - Linux/macOS Setup Script # Self-contained: no apt/yum/pacman, no global Node.js install. # @@ -11,18 +11,40 @@ ROOT_DIR="$(dirname "$SCRIPT_DIR")" APP_DIR="$ROOT_DIR/app" FRONTEND_DIR="$APP_DIR/frontend" TOOLS_DIR="$APP_DIR/tools" -NODE_DIR="$TOOLS_DIR/node-linux" +DIST_DIR="$APP_DIR/dist" +PLATFORM="$(uname -s)" +ARCH="$(uname -m)" + +if [[ "$PLATFORM" == "Darwin" ]]; then + PLATFORM_LABEL="macOS" + NODE_DIR="$TOOLS_DIR/node-mac" + BACKEND_DIR="$APP_DIR/backend/mac" +else + PLATFORM_LABEL="Linux" + NODE_DIR="$TOOLS_DIR/node-linux" + BACKEND_DIR="$APP_DIR/backend/linux" +fi + NODE_BIN="$NODE_DIR/bin/node" NPM_BIN="$NODE_DIR/bin/npm" -DIST_DIR="$APP_DIR/dist" -BACKEND_DIR="$APP_DIR/backend/linux" # Release pins SD_RELEASE="master-685-19bdfe2" SD_SHORT_HASH="${SD_RELEASE##*-}" SD_BASE_URL="https://github.com/leejet/stable-diffusion.cpp/releases/download/$SD_RELEASE" NODE_VERSION="22.12.0" -NODE_TARBALL="node-v${NODE_VERSION}-linux-x64.tar.xz" + +if [[ "$PLATFORM" == "Darwin" ]]; then + if [[ "$ARCH" == "arm64" ]]; then + NODE_PLATFORM_ARCH="darwin-arm64" + else + NODE_PLATFORM_ARCH="darwin-x64" + fi + NODE_TARBALL="node-v${NODE_VERSION}-${NODE_PLATFORM_ARCH}.tar.gz" +else + NODE_PLATFORM_ARCH="linux-x64" + NODE_TARBALL="node-v${NODE_VERSION}-${NODE_PLATFORM_ARCH}.tar.xz" +fi NODE_URL="https://nodejs.org/dist/v${NODE_VERSION}/$NODE_TARBALL" # Flags @@ -36,7 +58,7 @@ print_header() { clear 2>/dev/null || true echo "" echo " ============================================================" - echo " LOCAL AI IMAGE GENERATOR - Linux First-Time Setup" + echo " LOCAL AI IMAGE GENERATOR - $PLATFORM_LABEL First-Time Setup" echo " 100% Self-Contained | No System Install Required" echo " ============================================================" echo "" @@ -180,15 +202,39 @@ copy_binaries_from_extracted() { find "$extracted_dir" -type f -name "*.so" -exec cp {} "$dest_dir/" \; 2>/dev/null || true } +copy_macos_backend_from_extracted() { + local extracted_dir="$1" dest_dir="$2" + local target="$dest_dir/sd" + local server_bin="" + local cli_bin="" + + server_bin="$(find "$extracted_dir" -type f -name "sd-server" | head -n 1)" + cli_bin="$(find "$extracted_dir" -type f \( -name "sd" -o -name "sd-cli" \) | head -n 1)" + + if [[ -n "$server_bin" ]]; then + cp "$server_bin" "$target" + elif [[ -n "$cli_bin" ]]; then + cp "$cli_bin" "$target" + else + print_fail "No sd-server, sd, or sd-cli binary was found in the macOS backend archive." + return 1 + fi + + find "$extracted_dir" -type f \( -name "*.dylib" -o -name "*.metallib" \) -exec cp {} "$dest_dir/" \; 2>/dev/null || true + chmod +x "$target" 2>/dev/null || true +} + # ════════════════════════════════════════════════════════════════════════════ print_header -check_glibc +if [[ "$PLATFORM" == "Linux" ]]; then + check_glibc +fi TOTAL_STEPS=4 # ── Step 1: Portable Node.js ──────────────────────────────────────────────── -print_step 1 $TOTAL_STEPS "Setting up portable Node.js (app/tools/node-linux/)" +print_step 1 $TOTAL_STEPS "Setting up portable Node.js ($NODE_DIR/)" if [[ -x "$NODE_BIN" && -x "$NPM_BIN" ]]; then VERSION=$("$NODE_BIN" --version) @@ -201,7 +247,7 @@ else extract_tarxz "$NODE_TAR_PATH" "$TOOLS_DIR" "Node.js" rm -f "$NODE_TAR_PATH" - EXTRACTED_DIR="$(find "$TOOLS_DIR" -maxdepth 1 -type d -name 'node-v*-linux-x64' | head -n 1)" + EXTRACTED_DIR="$(find "$TOOLS_DIR" -maxdepth 1 -type d -name "node-v*-${NODE_PLATFORM_ARCH}" | head -n 1)" if [[ -d "$EXTRACTED_DIR" ]]; then rm -rf "$NODE_DIR" mv "$EXTRACTED_DIR" "$NODE_DIR" @@ -217,11 +263,32 @@ else fi # ── Step 2: stable-diffusion.cpp Backends ─────────────────────────────────── -VENDOR="$(detect_gpu_vendor)" -print_step 2 $TOTAL_STEPS "Detecting GPU vendor: ${VENDOR:-none}" - mkdir -p "$BACKEND_DIR" +if [[ "$PLATFORM" == "Darwin" ]]; then + print_step 2 $TOTAL_STEPS "Setting up stable-diffusion.cpp Metal backend (app/backend/mac/)" + if [[ "$ARCH" != "arm64" ]]; then + print_fail "The official macOS backend binary is Apple Silicon only (arm64)." + print_info "Intel Macs need a local source build with Metal/OpenBLAS and a matching app/backend/mac/sd binary." + exit 1 + fi + + MAC_BACKEND="$BACKEND_DIR/sd" + if [[ -x "$MAC_BACKEND" ]]; then + print_ok "macOS Metal backend already ready." + else + MAC_ZIP="$TOOLS_DIR/sd-mac-metal.zip" + download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Darwin-macOS-15.7.7-arm64.zip" "$MAC_ZIP" "stable-diffusion.cpp Metal Backend (macOS arm64)" + extract_zip "$MAC_ZIP" "$BACKEND_DIR/extracted" "macOS Metal Backend" + rm -f "$MAC_ZIP" + copy_macos_backend_from_extracted "$BACKEND_DIR/extracted" "$BACKEND_DIR" + rm -rf "$BACKEND_DIR/extracted" + print_ok "macOS Metal backend installed." + fi +else + VENDOR="$(detect_gpu_vendor)" + print_step 2 $TOTAL_STEPS "Detecting GPU vendor: ${VENDOR:-none}" + # CPU backend (always) CPU_BACKEND_DIR="$BACKEND_DIR/cpu" if [[ ! -f "$CPU_BACKEND_DIR/sd-cpu" ]]; then @@ -284,6 +351,7 @@ if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "nvidia" ]]; then print_info "Linux CUDA backend is disabled pending a reliable upstream binary." print_info "NVIDIA GPUs on Linux will use the Vulkan backend instead." fi +fi # ── Step 3: npm install ───────────────────────────────────────────────────── print_step 3 $TOTAL_STEPS "Installing frontend dependencies (app/frontend/)" @@ -320,7 +388,7 @@ echo " Setup complete! Run ./start.sh to launch." echo " ============================================================" echo "" -if [[ $MAX_PERF -eq 0 ]] && [[ "$VENDOR" == "nvidia" || "$VENDOR" == "amd" ]]; then +if [[ "$PLATFORM" == "Linux" && $MAX_PERF -eq 0 ]] && [[ "$VENDOR" == "nvidia" || "$VENDOR" == "amd" ]]; then echo " Tip: For maximum GPU performance, re-run with:" echo " ./scripts/setup.sh --max-perf" echo "" diff --git a/start.sh b/start.sh index 399e82f..4736315 100755 --- a/start.sh +++ b/start.sh @@ -1,15 +1,25 @@ #!/usr/bin/env bash # -# Local AI Image Generator - Linux Launcher +# Local AI Image Generator - Linux/macOS Launcher # Double-click or run: ./start.sh -# Use --max-perf to enable ROCm/CUDA backend downloads on first setup. +# Use --max-perf to enable ROCm backend downloads on Linux first setup. # set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" APP_DIR="$SCRIPT_DIR/app" -NODE_DIR="$APP_DIR/tools/node-linux" +PLATFORM="$(uname -s)" +if [[ "$PLATFORM" == "Darwin" ]]; then + NODE_DIR="$APP_DIR/tools/node-mac" + BACKEND_PATH="$APP_DIR/backend/mac/sd" + PLATFORM_LABEL="macOS" +else + NODE_DIR="$APP_DIR/tools/node-linux" + BACKEND_PATH="$APP_DIR/backend/linux/vulkan/sd-vulkan" + CPU_BACKEND_PATH="$APP_DIR/backend/linux/cpu/sd-cpu" + PLATFORM_LABEL="Linux" +fi NODE_BIN="$NODE_DIR/bin/node" DIST_INDEX="$APP_DIR/dist/index.html" SETUP_SCRIPT="$SCRIPT_DIR/scripts/setup.sh" @@ -38,15 +48,21 @@ if [[ ! -f "$DIST_INDEX" ]]; then SETUP_REASON="Frontend build is missing." fi -# At minimum we need CPU or Vulkan backend on Linux -if [[ ! -f "$APP_DIR/backend/linux/cpu/sd-cpu" && ! -f "$APP_DIR/backend/linux/vulkan/sd-vulkan" ]]; then - SETUP_REASON="No Linux backend binary is installed." +if [[ "$PLATFORM" == "Darwin" ]]; then + if [[ ! -x "$BACKEND_PATH" ]]; then + SETUP_REASON="No macOS Metal backend binary is installed." + fi +else + # At minimum we need CPU or Vulkan backend on Linux + if [[ ! -f "$CPU_BACKEND_PATH" && ! -f "$BACKEND_PATH" ]]; then + SETUP_REASON="No Linux backend binary is installed." + fi fi if [[ -n "$SETUP_REASON" ]]; then echo "" echo " ============================================================" - echo " LOCAL AI IMAGE GENERATOR | $SETUP_MODE" + echo " LOCAL AI IMAGE GENERATOR | $PLATFORM_LABEL $SETUP_MODE" echo " ============================================================" echo "" if [[ "$SETUP_MODE" == "First-Time Setup" ]]; then @@ -98,7 +114,10 @@ SERVER_PID=$! sleep 2 # Open browser -if command -v xdg-open >/dev/null 2>&1; then +if [[ "$PLATFORM" == "Darwin" ]] && command -v open >/dev/null 2>&1; then + echo " Opening browser at http://localhost:${FRONTEND_PORT}" + open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & +elif command -v xdg-open >/dev/null 2>&1; then echo " Opening browser at http://localhost:${FRONTEND_PORT}" xdg-open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & else From e5672cd826f3a113b0fa793684d93f43e2b750b9 Mon Sep 17 00:00:00 2001 From: techjarves Date: Tue, 9 Jun 2026 17:11:53 +0530 Subject: [PATCH 03/69] feat: implement portable static file server and backend process manager in serve.cjs --- scripts/serve.cjs | 14 +++++++++++++- 1 file changed, 13 insertions(+), 1 deletion(-) diff --git a/scripts/serve.cjs b/scripts/serve.cjs index 2c75f5f..b514ac2 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -604,7 +604,10 @@ function getBackendOptions() { const rocmAvailable = rocmInstalled && hasAmdGpu() && backendAccepts(BACKEND_PATHS.linuxRocm, "rocm"); const cpuInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCpu); const metalInstalled = osPlatform === "darwin" && fs.existsSync(BACKEND_PATHS.mac); - const metalAvailable = metalInstalled && backendAccepts(BACKEND_PATHS.mac, "metal"); + // Darwin release binaries are Metal builds. Treat an installed macOS backend + // as Metal-capable so the UI does not default to CPU if a probe flag changes + // upstream. + const metalAvailable = metalInstalled; const options = [{ id: "cpu", label: "CPU", available: true }]; if (metalAvailable) options.push({ id: "metal", label: "Metal GPU", available: true }); @@ -1053,6 +1056,11 @@ async function startBackend(settings = {}) { backendLoadState.device = deviceMatch[1].trim(); currentSettings.backendDevice = backendLoadState.device; } + const metalDeviceMatch = cleanOutput.match(/GPU name:\s*([^\r\n]+)/); + if (metalDeviceMatch) { + backendLoadState.device = metalDeviceMatch[1].trim(); + currentSettings.backendDevice = backendLoadState.device; + } if (cleanOutput.includes("ggml_cuda_init")) { backendLoadState.backendMode = "CUDA GPU"; currentSettings.backendMode = "CUDA GPU"; @@ -1065,6 +1073,10 @@ async function startBackend(settings = {}) { backendLoadState.backendMode = "ROCm GPU"; currentSettings.backendMode = "ROCm GPU"; } + if (cleanOutput.includes("ggml_metal")) { + backendLoadState.backendMode = "Metal GPU"; + currentSettings.backendMode = "Metal GPU"; + } if (cleanOutput.includes("[ERROR]")) { const nextError = describeBackendError(cleanOutput.trim(), currentSettings.model); const hasSpecificFileError = String(backendError || "").includes("incomplete or corrupted"); From 17a35b29cf56729a41ba492c2e0b5d5c55ff5990 Mon Sep 17 00:00:00 2001 From: techjarves Date: Tue, 9 Jun 2026 17:21:28 +0530 Subject: [PATCH 04/69] feat: add portable backend manager script and document Windows exit code 3221225781 troubleshooting --- README.md | 1 + scripts/serve.cjs | 37 +++++++++++++++++++++++++++++++------ 2 files changed, 32 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index cb57220..7eecc48 100644 --- a/README.md +++ b/README.md @@ -136,6 +136,7 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution * **Port Conflicts:** The frontend uses `1420` by default. The backend tries `8080` first, then automatically falls back to a free port if `8080` is already busy. * **Linux backends fail to start with `GLIBC_2.38' not found`:** The prebuilt binaries require glibc 2.38+ (Ubuntu 24.04). Upgrade your distribution or build stable-diffusion.cpp from source (see below). * **Linux ROCm not loading:** Make sure your AMD GPU and kernel are compatible with ROCm 7.13. The app will automatically fall back to Vulkan if ROCm cannot initialize. +* **Windows exits with code `3221225781`:** This is `0xC0000135`, which means Windows could not load a required backend DLL. For AMD/Intel Vulkan, update the GPU driver with Vulkan support, then rerun setup so `app/backend/win/vulkan/` is repaired. For NVIDIA CUDA, update the NVIDIA driver and rerun setup so CUDA runtime DLLs are restored. * **Generation shows "server is not responding or crashed":** The backend process exited. Check the terminal where you ran `./start.sh` for the exact error (common causes are glibc mismatch, missing Vulkan drivers, or out-of-memory). --- diff --git a/scripts/serve.cjs b/scripts/serve.cjs index b514ac2..43600bf 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -661,9 +661,10 @@ function getBackendOptions() { function backendAccepts(binaryPath, backendName) { if (!binaryPath || !fs.existsSync(binaryPath)) return false; try { + const cliBackendName = backendName === "metal" ? "metal0" : backendName; const probeArgs = [ - "--backend", backendName, - "--params-backend", backendName, + "--backend", cliBackendName, + "--params-backend", cliBackendName, "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; @@ -692,7 +693,7 @@ function backendAccepts(binaryPath, backendName) { } const lower = output.toLowerCase(); - if (lower.includes("backend config failed") || output.includes(`backend '${backendName}' was not found`)) { + if (lower.includes("backend config failed") || output.includes(`backend '${backendName}' was not found`) || output.includes(`backend '${cliBackendName}' was not found`)) { return false; } // Reject binaries that fail at the dynamic linker / glibc level. @@ -926,8 +927,8 @@ async function startBackend(settings = {}) { ); } else if (requestedBackend === "metal") { args.push( - "--backend", "metal", - "--params-backend", "metal", + "--backend", "metal0", + "--params-backend", "metal0", "--rng", "cpu", "--sampler-rng", "cpu", ); @@ -1092,7 +1093,7 @@ async function startBackend(settings = {}) { console.log(" [backend] exited with code", code); if (code !== null && code !== 0) { if (!backendError) { - backendError = `exited with code ${code}`; + backendError = describeBackendExitCode(code, currentSettings.backendBinary || BACKEND_PATH); } } backendLoadState.active = false; @@ -1447,6 +1448,30 @@ function describeBackendError(rawError, modelPath) { return `${raw}\n\nThe backend could not create the model context. Common causes are a corrupt/incomplete model file, unsupported checkpoint type, or not enough free RAM/VRAM. Delete and re-download the model, then try CPU or Vulkan mode at 512x512.`; } +function describeBackendExitCode(code, backendPath) { + const numericCode = Number(code); + if (osPlatform === "win32" && numericCode === 3221225781) { + const backendName = path.basename(backendPath || BACKEND_PATH || "backend"); + const lowerBackend = backendName.toLowerCase(); + const isVulkan = lowerBackend.includes("vulkan"); + const isCuda = lowerBackend.includes("cuda"); + const likelyMissing = isVulkan + ? "the Vulkan runtime/driver DLL, such as vulkan-1.dll" + : isCuda + ? "a CUDA runtime DLL or NVIDIA driver component" + : "a required backend DLL"; + const driverHint = isVulkan + ? "Install or update the GPU vendor driver with Vulkan support, then run setup again so the Vulkan backend folder is repaired." + : isCuda + ? "Install or update the NVIDIA driver, then run setup again so the CUDA backend folder is repaired." + : "Update the GPU driver, then run setup again so the backend folder is repaired."; + + return `exited with code ${code} (0xC0000135: required DLL not found).\n\nWindows could not start ${backendName} because ${likelyMissing} is missing or not loadable. ${driverHint}\n\nIf you are using an AMD/Intel GPU, update the AMD/Intel graphics driver first. If the GPU is too old for the current Vulkan backend, switch the backend to CPU.`; + } + + return `exited with code ${code}`; +} + function getModelInfo(filename) { const safeFilename = path.basename(filename || ""); const stats = fs.statSync(path.join(MODELS, safeFilename)); From 409ef93de2a9169564a6abc22497aba7dc29ae98 Mon Sep 17 00:00:00 2001 From: howwonder Date: Tue, 9 Jun 2026 20:52:40 +0530 Subject: [PATCH 05/69] running in legion linux --- app/dist/index.html | 32 ++++++++++++++++---------------- scripts/build_from_source.sh | 12 ++++++++++++ scripts/setup.sh | 12 ++++++------ start.sh | 8 +++++--- 4 files changed, 39 insertions(+), 25 deletions(-) diff --git a/app/dist/index.html b/app/dist/index.html index cdd6929..eee907d 100644 --- a/app/dist/index.html +++ b/app/dist/index.html @@ -1,18 +1,18 @@ - - - - - - - - - - Local AI Image Generator + + + + + + + + + + Local AI Image Generator - - - -
- - + + + +
+ + diff --git a/scripts/build_from_source.sh b/scripts/build_from_source.sh index 6b39a34..3c55636 100755 --- a/scripts/build_from_source.sh +++ b/scripts/build_from_source.sh @@ -91,6 +91,10 @@ SO_PATH=$(find . -name "libstable-diffusion.so" | head -n 1) if [ -n "$SO_PATH" ]; then cp "$SO_PATH" "$BACKEND_DIR/cpu/" echo "Copied libstable-diffusion.so to CPU directory." + chmod +x "$BACKEND_DIR/cpu/sd-cpu" "$BACKEND_DIR/cpu/sd-server-cpu" 2>/dev/null || true + if [ -f "$BACKEND_DIR/cpu/sd-cli-cpu" ]; then + chmod +x "$BACKEND_DIR/cpu/sd-cli-cpu" 2>/dev/null || true + fi else echo "WARNING: libstable-diffusion.so not found for CPU build!" fi @@ -124,6 +128,10 @@ if rm -rf build-vulkan && mkdir build-vulkan && cd build-vulkan && \ else echo "WARNING: libstable-diffusion.so not found for Vulkan build!" fi + chmod +x "$BACKEND_DIR/vulkan/sd-vulkan" "$BACKEND_DIR/vulkan/sd-server-vulkan" 2>/dev/null || true + if [ -f "$BACKEND_DIR/vulkan/sd-cli-vulkan" ]; then + chmod +x "$BACKEND_DIR/vulkan/sd-cli-vulkan" 2>/dev/null || true + fi else echo "WARNING: Vulkan backend build failed. Bypassing Vulkan backend compilation..." fi @@ -152,6 +160,10 @@ SO_PATH_CUDA=$(find . -name "libstable-diffusion.so" | head -n 1) if [ -n "$SO_PATH_CUDA" ]; then cp "$SO_PATH_CUDA" "$BACKEND_DIR/cuda/" echo "Copied libstable-diffusion.so to CUDA directory." + chmod +x "$BACKEND_DIR/cuda/sd-cuda" "$BACKEND_DIR/cuda/sd-server-cuda" 2>/dev/null || true + if [ -f "$BACKEND_DIR/cuda/sd-cli-cuda" ]; then + chmod +x "$BACKEND_DIR/cuda/sd-cli-cuda" 2>/dev/null || true + fi else echo "WARNING: libstable-diffusion.so not found for CUDA build!" fi diff --git a/scripts/setup.sh b/scripts/setup.sh index 5ad0d56..b8dc7f1 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -291,7 +291,7 @@ else # CPU backend (always) CPU_BACKEND_DIR="$BACKEND_DIR/cpu" -if [[ ! -f "$CPU_BACKEND_DIR/sd-cpu" ]]; then +if [[ ! -f "$CPU_BACKEND_DIR/sd-cpu" || ! -f "$CPU_BACKEND_DIR/sd-server-cpu" ]]; then mkdir -p "$CPU_BACKEND_DIR" CPU_ZIP="$TOOLS_DIR/sd-cpu.zip" download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Linux-Ubuntu-24.04-x86_64.zip" "$CPU_ZIP" "stable-diffusion.cpp CPU Backend (Linux x86_64)" @@ -299,15 +299,15 @@ if [[ ! -f "$CPU_BACKEND_DIR/sd-cpu" ]]; then rm -f "$CPU_ZIP" copy_binaries_from_extracted "$CPU_BACKEND_DIR/extracted" "$CPU_BACKEND_DIR" "sd-cpu" "sd-server-cpu" rm -rf "$CPU_BACKEND_DIR/extracted" - chmod +x "$CPU_BACKEND_DIR/sd-cpu" 2>/dev/null || true print_ok "CPU backend installed." else print_ok "CPU backend already ready." fi +chmod +x "$CPU_BACKEND_DIR/sd-cpu" "$CPU_BACKEND_DIR/sd-server-cpu" 2>/dev/null || true # Vulkan backend (always - cross-vendor GPU fallback) VULKAN_BACKEND_DIR="$BACKEND_DIR/vulkan" -if [[ ! -f "$VULKAN_BACKEND_DIR/sd-vulkan" ]]; then +if [[ ! -f "$VULKAN_BACKEND_DIR/sd-vulkan" || ! -f "$VULKAN_BACKEND_DIR/sd-server-vulkan" ]]; then mkdir -p "$VULKAN_BACKEND_DIR" VULKAN_ZIP="$TOOLS_DIR/sd-vulkan.zip" download_file "$SD_BASE_URL/sd-master-${SD_SHORT_HASH}-bin-Linux-Ubuntu-24.04-x86_64-vulkan.zip" "$VULKAN_ZIP" "stable-diffusion.cpp Vulkan Backend (Linux x86_64)" @@ -315,16 +315,16 @@ if [[ ! -f "$VULKAN_BACKEND_DIR/sd-vulkan" ]]; then rm -f "$VULKAN_ZIP" copy_binaries_from_extracted "$VULKAN_BACKEND_DIR/extracted" "$VULKAN_BACKEND_DIR" "sd-vulkan" "sd-server-vulkan" rm -rf "$VULKAN_BACKEND_DIR/extracted" - chmod +x "$VULKAN_BACKEND_DIR/sd-vulkan" 2>/dev/null || true print_ok "Vulkan backend installed." else print_ok "Vulkan backend already ready." fi +chmod +x "$VULKAN_BACKEND_DIR/sd-vulkan" "$VULKAN_BACKEND_DIR/sd-server-vulkan" 2>/dev/null || true # ROCm backend (optional --max-perf, or auto-detected AMD) ROCM_BACKEND_DIR="$BACKEND_DIR/rocm" if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "amd" || "$VENDOR" == "" ]]; then - if [[ ! -f "$ROCM_BACKEND_DIR/sd-rocm" ]]; then + if [[ ! -f "$ROCM_BACKEND_DIR/sd-rocm" || ! -f "$ROCM_BACKEND_DIR/sd-server-rocm" ]]; then mkdir -p "$ROCM_BACKEND_DIR" ROCM_ZIP="$TOOLS_DIR/sd-rocm.zip" print_warn "ROCm backend is ~1.2 GB. This may take a while..." @@ -333,11 +333,11 @@ if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "amd" || "$VENDOR" == "" ]]; then rm -f "$ROCM_ZIP" copy_binaries_from_extracted "$ROCM_BACKEND_DIR/extracted" "$ROCM_BACKEND_DIR" "sd-rocm" "sd-server-rocm" rm -rf "$ROCM_BACKEND_DIR/extracted" - chmod +x "$ROCM_BACKEND_DIR/sd-rocm" 2>/dev/null || true print_ok "ROCm backend installed." else print_ok "ROCm backend already ready." fi + chmod +x "$ROCM_BACKEND_DIR/sd-rocm" "$ROCM_BACKEND_DIR/sd-server-rocm" 2>/dev/null || true fi # CUDA backend on Linux is intentionally disabled. diff --git a/start.sh b/start.sh index 4736315..f6eeec8 100755 --- a/start.sh +++ b/start.sh @@ -53,9 +53,11 @@ if [[ "$PLATFORM" == "Darwin" ]]; then SETUP_REASON="No macOS Metal backend binary is installed." fi else - # At minimum we need CPU or Vulkan backend on Linux - if [[ ! -f "$CPU_BACKEND_PATH" && ! -f "$BACKEND_PATH" ]]; then - SETUP_REASON="No Linux backend binary is installed." + # At minimum we need CPU or Vulkan backend on Linux, and both CLI and server binaries must be executable + CPU_SERVER_PATH="$APP_DIR/backend/linux/cpu/sd-server-cpu" + VULKAN_SERVER_PATH="$APP_DIR/backend/linux/vulkan/sd-server-vulkan" + if [[ ! -x "$CPU_BACKEND_PATH" || ! -x "$CPU_SERVER_PATH" ]] && [[ ! -x "$BACKEND_PATH" || ! -x "$VULKAN_SERVER_PATH" ]]; then + SETUP_REASON="Linux backend binaries are missing or not executable." fi fi From bf206efb7764b19ef4ea36452aee0472fb89408f Mon Sep 17 00:00:00 2001 From: Tech Jarves Date: Thu, 11 Jun 2026 10:02:47 +0000 Subject: [PATCH 06/69] fix chnages i --- scripts/serve.cjs | 61 +++++++++++++++++++++++++---------------------- 1 file changed, 33 insertions(+), 28 deletions(-) diff --git a/scripts/serve.cjs b/scripts/serve.cjs index c63775e..7de2651 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -34,6 +34,7 @@ const BACKEND_PATHS = { linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-cuda"), }; let BACKEND_PATH = ""; +const backendSupportsFlags = {}; if (osPlatform === "win32") { let hasNvidia = false; try { @@ -640,17 +641,25 @@ function backendAccepts(binaryPath, backendName) { "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; - let result = spawnSync(binaryPath, probeArgs, { encoding: "utf8", timeout: 5000 }); + const spawnEnv = { ...process.env }; + if (osPlatform === "linux") { + const extraLibs = [path.dirname(binaryPath)]; + const existing = spawnEnv.LD_LIBRARY_PATH || ""; + spawnEnv.LD_LIBRARY_PATH = extraLibs.join(":") + (existing ? ":" + existing : ""); + } + let result = spawnSync(binaryPath, probeArgs, { env: spawnEnv, encoding: "utf8", timeout: 5000 }); let output = `${result.stdout || ""}\n${result.stderr || ""}`; + let supportsFlags = true; // Some binaries do not support --backend. If we see "unknown argument", // retry without backend flags so we can still verify the binary launches. if (output.includes("unknown argument") && output.includes("--backend")) { + supportsFlags = false; const fallbackArgs = [ "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; - result = spawnSync(binaryPath, fallbackArgs, { encoding: "utf8", timeout: 5000 }); + result = spawnSync(binaryPath, fallbackArgs, { env: spawnEnv, encoding: "utf8", timeout: 5000 }); output = `${result.stdout || ""}\n${result.stderr || ""}`; } @@ -663,7 +672,11 @@ function backendAccepts(binaryPath, backendName) { return false; } // A healthy binary prints project-specific log lines when it tries to load the model. - return lower.includes("stable-diffusion.cpp") || lower.includes("loading model"); + const isOk = lower.includes("stable-diffusion.cpp") || lower.includes("loading model"); + if (isOk) { + backendSupportsFlags[binaryPath] = supportsFlags; + } + return isOk; } catch (_) { return false; } @@ -852,36 +865,28 @@ async function startBackend(settings = {}) { "--threads", String(runThreads), ]; + const supportsFlags = backendSupportsFlags[backendPath] !== false; const requestedBackend = resolveBackendType(currentSettings.useGpu, currentSettings.backendType); if (requestedBackend === "cpu") { - args.push( - "--backend", "cpu", - "--params-backend", "cpu", - "--rng", "cpu", - "--sampler-rng", "cpu", - ); + if (supportsFlags) { + args.push("--backend", "cpu", "--params-backend", "cpu"); + } + args.push("--rng", "cpu", "--sampler-rng", "cpu"); } else if (requestedBackend === "vulkan") { - args.push( - "--backend", "vulkan0", - "--params-backend", "vulkan0", - "--rng", "cpu", - "--sampler-rng", "cpu", - ); + if (supportsFlags) { + args.push("--backend", "vulkan0", "--params-backend", "vulkan0"); + } + args.push("--rng", "cpu", "--sampler-rng", "cpu"); } else if (requestedBackend === "cuda") { - // CUDA is only supported on Windows. Linux has no reliable prebuilt CUDA binary. - args.push( - "--backend", "cuda0", - "--params-backend", "cuda0", - "--rng", "cuda", - "--sampler-rng", "cuda", - ); + if (supportsFlags) { + args.push("--backend", "cuda0", "--params-backend", "cuda0"); + } + args.push("--rng", "cuda", "--sampler-rng", "cuda"); } else if (requestedBackend === "rocm") { - args.push( - "--backend", "rocm0", - "--params-backend", "rocm0", - "--rng", "cpu", - "--sampler-rng", "cpu", - ); + if (supportsFlags) { + args.push("--backend", "rocm0", "--params-backend", "rocm0"); + } + args.push("--rng", "cpu", "--sampler-rng", "cpu"); } if (currentSettings.vaeTiling) { From 84034531c40664291646d59fcabc998ccb7c5545 Mon Sep 17 00:00:00 2001 From: Tech Jarves Date: Thu, 11 Jun 2026 10:14:14 +0000 Subject: [PATCH 07/69] Refactor entry points: split launcher into linux.sh and mac.sh, rename start.bat to windows.bat, isolate OS node_modules --- .gitignore | 2 + README.md | 23 +++--- start.sh => linux.sh | 61 ++++++++-------- mac.sh | 149 +++++++++++++++++++++++++++++++++++++++ scripts/reset.ps1 | 13 ++++ scripts/reset.sh | 12 +++- scripts/setup.ps1 | 12 +++- scripts/setup.sh | 25 ++++++- start.bat => windows.bat | 0 9 files changed, 255 insertions(+), 42 deletions(-) rename start.sh => linux.sh (70%) create mode 100755 mac.sh rename start.bat => windows.bat (100%) diff --git a/.gitignore b/.gitignore index 35a19d6..541bb3b 100644 --- a/.gitignore +++ b/.gitignore @@ -8,6 +8,8 @@ app/outputs/ # Ignore portable Node.js binaries and packages app/tools/ **/node_modules/ +**/node_modules_mac/ +**/node_modules_linux/ node_modules/ # Ignore backend folder completely (contains massive DLLs, EXEs, and ZIPs >1GB) diff --git a/README.md b/README.md index 7eecc48..4b69955 100644 --- a/README.md +++ b/README.md @@ -22,27 +22,27 @@ --- ## 📖 Overview -**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows, Linux, and macOS. Double-clicking `start.bat` (Windows) or running `./start.sh` (Linux/macOS) automatically handles dependency setup, GPU backend matching, and launches a high-performance local web workspace. +**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors/GGUF/CKPT) offline on Windows, Linux, and macOS. Running `windows.bat` (Windows), `./linux.sh` (Linux), or `./mac.sh` (macOS) automatically handles dependency setup, GPU backend matching, and launches a high-performance local web workspace. --- ## ⚡ Quick Start ### Windows -1. **Launch:** Double-click **`start.bat`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). +1. **Launch:** Double-click **`windows.bat`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). 2. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 3. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. ### Linux 1. **Check compatibility:** Prebuilt Linux backends are built on Ubuntu 24.04 and require **glibc 2.38+**. Run `ldd --version` to verify. -2. **Launch:** Open a terminal in the project folder and run **`./start.sh`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). - - For maximum AMD GPU performance, use **`./start.sh --max-perf`** on first setup (adds the ROCm backend). +2. **Launch:** Open a terminal in the project folder and run **`./linux.sh`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). + - For maximum AMD GPU performance, use **`./linux.sh --max-perf`** on first setup (adds the ROCm backend). 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. ### macOS 1. **Check compatibility:** The prebuilt macOS backend is for **Apple Silicon (M1 or newer)** and uses **Metal** GPU acceleration. -2. **Launch:** Open Terminal in the project folder and run **`./start.sh`** (downloads portable Node.js and the pre-compiled Metal backend on first run). +2. **Launch:** Open Terminal in the project folder and run **`./mac.sh`** (downloads portable Node.js and the pre-compiled Metal backend on first run). 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. @@ -61,8 +61,9 @@ ## 📁 Repository Structure ``` local-ai-image-generator/ -├── start.bat # Main double-click entrypoint (Windows) -├── start.sh # Main terminal entrypoint (Linux/macOS) +├── windows.bat # Main double-click entrypoint (Windows) +├── linux.sh # Main terminal entrypoint (Linux) +├── mac.sh # Main terminal entrypoint (macOS) ├── PLAN.md # Linux port implementation plan ├── LICENSE # MIT Open Source license ├── .gitignore @@ -114,8 +115,8 @@ local-ai-image-generator/ - **Apple Silicon (M1 or newer)** is required for the prebuilt macOS Metal backend. **Linux setup modes:** -- **Default (`./start.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). -- **Maximum Performance (`./start.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB. +- **Default (`./linux.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). +- **Maximum Performance (`./linux.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB. --- @@ -137,7 +138,7 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution * **Linux backends fail to start with `GLIBC_2.38' not found`:** The prebuilt binaries require glibc 2.38+ (Ubuntu 24.04). Upgrade your distribution or build stable-diffusion.cpp from source (see below). * **Linux ROCm not loading:** Make sure your AMD GPU and kernel are compatible with ROCm 7.13. The app will automatically fall back to Vulkan if ROCm cannot initialize. * **Windows exits with code `3221225781`:** This is `0xC0000135`, which means Windows could not load a required backend DLL. For AMD/Intel Vulkan, update the GPU driver with Vulkan support, then rerun setup so `app/backend/win/vulkan/` is repaired. For NVIDIA CUDA, update the NVIDIA driver and rerun setup so CUDA runtime DLLs are restored. -* **Generation shows "server is not responding or crashed":** The backend process exited. Check the terminal where you ran `./start.sh` for the exact error (common causes are glibc mismatch, missing Vulkan drivers, or out-of-memory). +* **Generation shows \"server is not responding or crashed\":** The backend process exited. Check the terminal where you ran `./linux.sh` or `./mac.sh` for the exact error (common causes are glibc mismatch, missing Vulkan drivers, or out-of-memory). --- @@ -190,7 +191,7 @@ After copying, rename the server binary to match what `scripts/serve.cjs` expect - Vulkan: `sd` → `sd-vulkan` - ROCm: `sd` → `sd-rocm` -Then restart the app with `./start.sh`. +Then restart the app with `./linux.sh` (Linux) or `./mac.sh` (macOS). --- diff --git a/start.sh b/linux.sh similarity index 70% rename from start.sh rename to linux.sh index f6eeec8..5eccac2 100755 --- a/start.sh +++ b/linux.sh @@ -1,7 +1,7 @@ #!/usr/bin/env bash # -# Local AI Image Generator - Linux/macOS Launcher -# Double-click or run: ./start.sh +# Local AI Image Generator - Linux Launcher +# Double-click or run: ./linux.sh # Use --max-perf to enable ROCm backend downloads on Linux first setup. # @@ -10,17 +10,18 @@ set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" APP_DIR="$SCRIPT_DIR/app" PLATFORM="$(uname -s)" -if [[ "$PLATFORM" == "Darwin" ]]; then - NODE_DIR="$APP_DIR/tools/node-mac" - BACKEND_PATH="$APP_DIR/backend/mac/sd" - PLATFORM_LABEL="macOS" -else - NODE_DIR="$APP_DIR/tools/node-linux" - BACKEND_PATH="$APP_DIR/backend/linux/vulkan/sd-vulkan" - CPU_BACKEND_PATH="$APP_DIR/backend/linux/cpu/sd-cpu" - PLATFORM_LABEL="Linux" + +if [[ "$PLATFORM" != "Linux" ]]; then + echo "[ERROR] This script is for Linux only. Please run ./mac.sh on macOS." >&2 + exit 1 fi + +NODE_DIR="$APP_DIR/tools/node-linux" NODE_BIN="$NODE_DIR/bin/node" +BACKEND_PATH="$APP_DIR/backend/linux/vulkan/sd-vulkan" +CPU_BACKEND_PATH="$APP_DIR/backend/linux/cpu/sd-cpu" +PLATFORM_LABEL="Linux" + DIST_INDEX="$APP_DIR/dist/index.html" SETUP_SCRIPT="$SCRIPT_DIR/scripts/setup.sh" SERVE_SCRIPT="$SCRIPT_DIR/scripts/serve.cjs" @@ -35,30 +36,37 @@ if [[ "${1:-}" == "--max-perf" ]]; then MAX_PERF_FLAG="--max-perf" fi +# ── Symlink node_modules to avoid OS conflicts ────────────────────────────── +FRONTEND_NODE_MODULES="$APP_DIR/frontend/node_modules" +LINUX_NODE_MODULES="$APP_DIR/frontend/node_modules_linux" + +if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Migrating existing node_modules to node_modules_linux..." + mv "$FRONTEND_NODE_MODULES" "$LINUX_NODE_MODULES" +fi + +rm -f "$FRONTEND_NODE_MODULES" +mkdir -p "$LINUX_NODE_MODULES" +ln -sf "node_modules_linux" "$FRONTEND_NODE_MODULES" + # ── First-time setup check ───────────────────────────────────────────────── if [[ ! -d "$NODE_DIR" ]]; then SETUP_MODE="First-Time Setup" fi if [[ ! -x "$NODE_BIN" ]]; then - SETUP_REASON="Portable Node.js is missing." + SETUP_REASON="Portable Node.js for Linux is missing." fi if [[ ! -f "$DIST_INDEX" ]]; then SETUP_REASON="Frontend build is missing." fi -if [[ "$PLATFORM" == "Darwin" ]]; then - if [[ ! -x "$BACKEND_PATH" ]]; then - SETUP_REASON="No macOS Metal backend binary is installed." - fi -else - # At minimum we need CPU or Vulkan backend on Linux, and both CLI and server binaries must be executable - CPU_SERVER_PATH="$APP_DIR/backend/linux/cpu/sd-server-cpu" - VULKAN_SERVER_PATH="$APP_DIR/backend/linux/vulkan/sd-server-vulkan" - if [[ ! -x "$CPU_BACKEND_PATH" || ! -x "$CPU_SERVER_PATH" ]] && [[ ! -x "$BACKEND_PATH" || ! -x "$VULKAN_SERVER_PATH" ]]; then - SETUP_REASON="Linux backend binaries are missing or not executable." - fi +# At minimum we need CPU or Vulkan backend on Linux, and both CLI and server binaries must be executable +CPU_SERVER_PATH="$APP_DIR/backend/linux/cpu/sd-server-cpu" +VULKAN_SERVER_PATH="$APP_DIR/backend/linux/vulkan/sd-server-vulkan" +if [[ ! -x "$CPU_BACKEND_PATH" || ! -x "$CPU_SERVER_PATH" ]] && [[ ! -x "$BACKEND_PATH" || ! -x "$VULKAN_SERVER_PATH" ]]; then + SETUP_REASON="Linux backend binaries are missing or not executable." fi if [[ -n "$SETUP_REASON" ]]; then @@ -68,7 +76,7 @@ if [[ -n "$SETUP_REASON" ]]; then echo " ============================================================" echo "" if [[ "$SETUP_MODE" == "First-Time Setup" ]]; then - echo " This looks like your first run. Setting up automatically..." + echo " This looks like your first run on Linux. Setting up automatically..." else echo " Local AI Image Generator needs a quick repair before launch." fi @@ -116,10 +124,7 @@ SERVER_PID=$! sleep 2 # Open browser -if [[ "$PLATFORM" == "Darwin" ]] && command -v open >/dev/null 2>&1; then - echo " Opening browser at http://localhost:${FRONTEND_PORT}" - open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & -elif command -v xdg-open >/dev/null 2>&1; then +if command -v xdg-open >/dev/null 2>&1; then echo " Opening browser at http://localhost:${FRONTEND_PORT}" xdg-open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & else diff --git a/mac.sh b/mac.sh new file mode 100755 index 0000000..594de33 --- /dev/null +++ b/mac.sh @@ -0,0 +1,149 @@ +#!/usr/bin/env bash +# +# Local AI Image Generator - macOS Launcher +# Double-click or run: ./mac.sh +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +APP_DIR="$SCRIPT_DIR/app" +PLATFORM="$(uname -s)" + +if [[ "$PLATFORM" != "Darwin" ]]; then + echo "[ERROR] This script is for macOS only. Please run ./linux.sh on Linux." >&2 + exit 1 +fi + +NODE_DIR="$APP_DIR/tools/node-mac" +NODE_BIN="$NODE_DIR/bin/node" +BACKEND_PATH="$APP_DIR/backend/mac/sd" +PLATFORM_LABEL="macOS" + +DIST_INDEX="$APP_DIR/dist/index.html" +SETUP_SCRIPT="$SCRIPT_DIR/scripts/setup.sh" +SERVE_SCRIPT="$SCRIPT_DIR/scripts/serve.cjs" + +FRONTEND_PORT="${FRONTEND_PORT:-1420}" +SETUP_REASON="" +SETUP_MODE="Repair" + +# ── Symlink node_modules to avoid OS conflicts ────────────────────────────── +FRONTEND_NODE_MODULES="$APP_DIR/frontend/node_modules" +MAC_NODE_MODULES="$APP_DIR/frontend/node_modules_mac" + +if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Migrating existing node_modules to node_modules_mac..." + mv "$FRONTEND_NODE_MODULES" "$MAC_NODE_MODULES" +fi + +rm -f "$FRONTEND_NODE_MODULES" +mkdir -p "$MAC_NODE_MODULES" +ln -sf "node_modules_mac" "$FRONTEND_NODE_MODULES" + +# ── First-time setup check ───────────────────────────────────────────────── +if [[ ! -d "$NODE_DIR" ]]; then + SETUP_MODE="First-Time Setup" +fi + +if [[ ! -x "$NODE_BIN" ]]; then + SETUP_REASON="Portable Node.js for macOS is missing." +fi + +if [[ ! -f "$DIST_INDEX" ]]; then + SETUP_REASON="Frontend build is missing." +fi + +if [[ ! -x "$BACKEND_PATH" ]]; then + SETUP_REASON="No macOS Metal backend binary is installed." +fi + +if [[ -n "$SETUP_REASON" ]]; then + echo "" + echo " ============================================================" + echo " LOCAL AI IMAGE GENERATOR | $PLATFORM_LABEL $SETUP_MODE" + echo " ============================================================" + echo "" + if [[ "$SETUP_MODE" == "First-Time Setup" ]]; then + echo " This looks like your first run on macOS. Setting up automatically..." + else + echo " Local AI Image Generator needs a quick repair before launch." + fi + echo " Reason: $SETUP_REASON" + echo " Models are not downloaded during setup. Download or import them in the app." + echo "" + read -rp " Press Enter to continue, or Ctrl+C to cancel." + + # Clear any existing frontend server process + if command -v fuser >/dev/null 2>&1; then + fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fi + + if ! bash "$SETUP_SCRIPT"; then + echo "" + echo " [ERROR] Setup failed. Please check the output above." + read -rp " Press Enter to close..." + exit 1 + fi +fi + +# ── Launch ───────────────────────────────────────────────────────────────── +clear 2>/dev/null || true +echo "" +echo " ============================================================" +echo " LOCAL AI IMAGE GENERATOR | Launching..." +echo " ============================================================" +echo "" + +# Clear frontend port +if command -v fuser >/dev/null 2>&1; then + fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true +fi + +# Start the server +echo " Starting Local AI Image Generator..." +export PATH="$NODE_DIR/bin:$PATH" +export FRONTEND_PORT="$FRONTEND_PORT" + +# Run server in background and capture PID +"$NODE_BIN" "$SERVE_SCRIPT" & +SERVER_PID=$! + +# Wait for server to be ready +sleep 2 + +# Open browser +if command -v open >/dev/null 2>&1; then + echo " Opening browser at http://localhost:${FRONTEND_PORT}" + open "http://localhost:${FRONTEND_PORT}" >/dev/null 2>&1 & +else + echo " Open your browser to: http://localhost:${FRONTEND_PORT}" +fi + +echo "" +echo " ============================================================" +echo " Running!" +echo " Web UI: http://localhost:${FRONTEND_PORT}" +echo " GPU API: Auto-selected by the app (starts at 8080)" +echo "" +echo " Press Ctrl+C in this window to stop all services." +echo " ============================================================" +echo "" + +# Cleanup on exit +cleanup() { + echo "" + echo " Shutting down..." + if kill -0 "$SERVER_PID" >/dev/null 2>&1; then + kill -TERM "$SERVER_PID" >/dev/null 2>&1 || true + sleep 1 + kill -KILL "$SERVER_PID" >/dev/null 2>&1 || true + fi + echo " Done. Goodbye!" + exit 0 +} +trap cleanup SIGINT SIGTERM + +# Keep script alive +wait "$SERVER_PID" || true +cleanup diff --git a/scripts/reset.ps1 b/scripts/reset.ps1 index 65d1b01..bdc7515 100644 --- a/scripts/reset.ps1 +++ b/scripts/reset.ps1 @@ -45,6 +45,19 @@ if (Test-Path $nodeModulesDir) { Remove-Item $nodeModulesDir -Recurse -Force -ErrorAction SilentlyContinue } +$nodeModulesMac = Join-Path $appDir "frontend\node_modules_mac" +if (Test-Path $nodeModulesMac) { + Write-Host " >> Removing frontend node_modules_mac..." -ForegroundColor Cyan + Remove-Item $nodeModulesMac -Recurse -Force -ErrorAction SilentlyContinue +} + +$nodeModulesLinux = Join-Path $appDir "frontend\node_modules_linux" +if (Test-Path $nodeModulesLinux) { + Write-Host " >> Removing frontend node_modules_linux..." -ForegroundColor Cyan + Remove-Item $nodeModulesLinux -Recurse -Force -ErrorAction SilentlyContinue +} + + # Delete package-lock.json in frontend $lockFile = Join-Path $appDir "frontend\package-lock.json" if (Test-Path $lockFile) { diff --git a/scripts/reset.sh b/scripts/reset.sh index ca27b07..9334147 100755 --- a/scripts/reset.sh +++ b/scripts/reset.sh @@ -40,11 +40,21 @@ if [[ -d "$APP_DIR/models" ]]; then fi # Delete node_modules in frontend -if [[ -d "$APP_DIR/frontend/node_modules" ]]; then +if [[ -L "$APP_DIR/frontend/node_modules" || -d "$APP_DIR/frontend/node_modules" ]]; then echo " >> Removing frontend node_modules..." rm -rf "$APP_DIR/frontend/node_modules" fi +if [[ -d "$APP_DIR/frontend/node_modules_mac" ]]; then + echo " >> Removing frontend node_modules_mac..." + rm -rf "$APP_DIR/frontend/node_modules_mac" +fi + +if [[ -d "$APP_DIR/frontend/node_modules_linux" ]]; then + echo " >> Removing frontend node_modules_linux..." + rm -rf "$APP_DIR/frontend/node_modules_linux" +fi + # Delete package-lock.json in frontend if [[ -f "$APP_DIR/frontend/package-lock.json" ]]; then echo " >> Removing frontend package-lock.json..." diff --git a/scripts/setup.ps1 b/scripts/setup.ps1 index f3664e2..cfa6836 100644 --- a/scripts/setup.ps1 +++ b/scripts/setup.ps1 @@ -388,6 +388,16 @@ if (-not (Test-Path $npmCmd)) { Read-Host; exit 1 } +# If node_modules is a Unix symlink/junction, remove it so Windows can install natively into a real directory +$nodeModulesDir = Join-Path $frontendDir "node_modules" +if (Test-Path $nodeModulesDir) { + $item = Get-Item $nodeModulesDir + if ($item.Attributes -match "ReparsePoint") { + Print-Info "Removing Unix symlink for node_modules on Windows..." + Remove-Item $nodeModulesDir -Force -ErrorAction SilentlyContinue + } +} + Push-Location $frontendDir $oldPath = $env:PATH try { @@ -419,7 +429,7 @@ try { # ── Done ───────────────────────────────────────────────────────────────────── Write-Host "" Write-Host " ============================================================" -ForegroundColor Green -Write-Host " Setup complete! Just double-click start.bat to launch." -ForegroundColor Green +Write-Host " Setup complete! Just double-click windows.bat to launch." -ForegroundColor Green Write-Host " ============================================================" -ForegroundColor Green Write-Host "" Read-Host " Press Enter to close..." diff --git a/scripts/setup.sh b/scripts/setup.sh index b8dc7f1..0caff8a 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -361,6 +361,25 @@ if [[ ! -x "$NPM_BIN" ]]; then exit 1 fi +# Ensure correct OS-specific node_modules folder is symlinked to avoid conflicts +FRONTEND_NODE_MODULES="$FRONTEND_DIR/node_modules" +if [[ "$PLATFORM" == "Darwin" ]]; then + OS_NODE_MODULES="$FRONTEND_DIR/node_modules_mac" + OS_LABEL="node_modules_mac" +else + OS_NODE_MODULES="$FRONTEND_DIR/node_modules_linux" + OS_LABEL="node_modules_linux" +fi + +if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + print_info "Migrating existing node_modules to $OS_LABEL..." + mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES" +fi + +rm -f "$FRONTEND_NODE_MODULES" +mkdir -p "$OS_NODE_MODULES" +ln -sf "$OS_LABEL" "$FRONTEND_NODE_MODULES" + cd "$FRONTEND_DIR" export PATH="$NODE_DIR/bin:$PATH" @@ -384,7 +403,11 @@ fi # ── Done ──────────────────────────────────────────────────────────────────── echo "" echo " ============================================================" -echo " Setup complete! Run ./start.sh to launch." +if [[ "$PLATFORM" == "Darwin" ]]; then + echo " Setup complete! Run ./mac.sh to launch." +else + echo " Setup complete! Run ./linux.sh to launch." +fi echo " ============================================================" echo "" diff --git a/start.bat b/windows.bat similarity index 100% rename from start.bat rename to windows.bat From 4a8b129c07a6624495cd8b1823f2969109b55f07 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sat, 13 Jun 2026 15:36:33 +0530 Subject: [PATCH 08/69] feat: implement model management system and integrate OpenVINO NPU support for image generation. --- .gitattributes | 1 + .gitignore | 9 ++++----- app/dist/assets/event-Df1n27Ua.js | 1 - app/dist/assets/index-CG3WZqfX.js | 23 ----------------------- app/dist/assets/index-DW6G7wc2.css | 1 - app/dist/index.html | 18 ------------------ 6 files changed, 5 insertions(+), 48 deletions(-) create mode 100644 .gitattributes delete mode 100644 app/dist/assets/event-Df1n27Ua.js delete mode 100644 app/dist/assets/index-CG3WZqfX.js delete mode 100644 app/dist/assets/index-DW6G7wc2.css delete mode 100644 app/dist/index.html diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..dfdb8b7 --- /dev/null +++ b/.gitattributes @@ -0,0 +1 @@ +*.sh text eol=lf diff --git a/.gitignore b/.gitignore index 541bb3b..c0b03c4 100644 --- a/.gitignore +++ b/.gitignore @@ -3,8 +3,12 @@ app/models/*.safetensors app/models/*.gguf app/models/*.ckpt app/models +app/openvino-models/ app/outputs/ +# Ignore generated frontend build output +app/dist/ + # Ignore portable Node.js binaries and packages app/tools/ **/node_modules/ @@ -22,8 +26,3 @@ app/backend/ Thumbs.db *.log *.tmp - - - -# output images folder -/app/outputs \ No newline at end of file diff --git a/app/dist/assets/event-Df1n27Ua.js b/app/dist/assets/event-Df1n27Ua.js deleted file mode 100644 index 4628874..0000000 --- a/app/dist/assets/event-Df1n27Ua.js +++ /dev/null @@ -1 +0,0 @@ -import{i as D,t as i}from"./index-CG3WZqfX.js";var 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.3s}.output-image:hover{transform:scale(1.015)}.progress-overlay{position:absolute;inset:0;background-color:#090a0fd9;backdrop-filter:blur(8px);-webkit-backdrop-filter:blur(8px);display:flex;flex-direction:column;align-items:center;justify-content:center;color:#fff;gap:14px;padding:24px;z-index:5}.progress-spinner{width:44px;height:44px;border:3px solid rgba(255,255,255,.15);border-top-color:var(--md-sys-color-primary);border-radius:50%;animation:spin .9s cubic-bezier(.5,.1,.4,.9) infinite;box-shadow:0 0 12px #6366f133}.loading-dot{width:8px;height:8px;border-radius:50%;background:var(--md-sys-color-primary);opacity:.9;animation:pulse 1.2s ease-in-out infinite;box-shadow:0 0 8px var(--md-sys-color-primary)}.progress-text{font-size:1.05rem;font-weight:700;letter-spacing:-.01em}.progress-bar-container{width:80%;height:5px;background-color:#ffffff1f;border-radius:var(--md-shape-corner-full);overflow:hidden;margin:4px 0}.progress-bar-fill{height:100%;background:linear-gradient(90deg,var(--md-sys-color-primary),#d946ef);width:0%;transition:width .4s cubic-bezier(.1,.8,.25,1);box-shadow:0 0 8px #6366f166}.output-placeholder-icon{width:48px;height:48px;color:var(--md-sys-color-on-surface-variant);opacity:.5;filter:drop-shadow(0 2px 10px rgba(0,0,0,.05))}.output-placeholder-text{font-size:.88rem;color:var(--md-sys-color-on-surface-variant);margin-top:12px;text-align:center;line-height:1.5;opacity:.8}.image-actions{display:flex;gap:10px;margin-top:16px;width:100%}.image-actions button{flex:1}.models-grid{display:grid;grid-template-columns:1fr;gap:20px}@media(min-width:800px){.models-grid{grid-template-columns:1fr 1fr}}.model-card{display:flex;flex-direction:column;justify-content:space-between;border:1px solid var(--border-color-muted)}.model-header{display:flex;justify-content:space-between;align-items:flex-start;margin-bottom:12px}.model-name{font-size:1.05rem;font-weight:600}.model-badge{font-size:.72rem;font-weight:700;padding:3px 8px;border-radius:var(--md-shape-corner-full)}.model-badge-gguf{background-color:#f59e0b26;color:#d97706}.model-badge-safetensors{background-color:#0ea5e926;color:#0284c7}.model-description{font-size:.82rem;color:var(--md-sys-color-on-surface-variant);margin-bottom:16px;line-height:1.45;opacity:.9}.model-status-info{margin-top:auto;padding-top:12px;border-top:1px solid var(--border-color-muted);display:flex;align-items:center;justify-content:space-between}.model-size{font-size:.8rem;font-weight:550;color:var(--md-sys-color-on-surface-variant)}.model-progress-section{width:100%;margin-top:12px}.model-progress-label{display:flex;justify-content:space-between;font-size:.78rem;font-weight:600;margin-bottom:4px}.model-progress-bar{width:100%;height:6px;background-color:var(--border-color-muted);border-radius:var(--md-shape-corner-full);overflow:hidden}.model-progress-fill{height:100%;background:linear-gradient(90deg,var(--md-sys-color-primary),var(--md-sys-color-secondary));width:0%;transition:width .25s ease}.import-box{border:2px dashed var(--border-color);border-radius:var(--md-shape-corner-large);padding:32px;text-align:center;cursor:pointer;transition:all var(--md-transition-duration);background-color:var(--md-sys-color-surface);color:var(--md-sys-color-on-surface-variant);display:flex;flex-direction:column;align-items:center;gap:10px}.import-box:hover{background-color:var(--md-sys-color-primary-container);border-color:var(--md-sys-color-primary);color:var(--md-sys-color-primary)}.import-icon{width:40px;height:40px;color:var(--md-sys-color-primary);filter:drop-shadow(0 2px 6px rgba(99,102,241,.15))}.gallery-section{margin-top:36px}.gallery-header{display:flex;align-items:center;justify-content:space-between;gap:12px;flex-wrap:wrap}.gallery-selection-actions{display:flex;align-items:center;gap:8px;flex-wrap:wrap}.gallery-selection-actions .m3-btn{height:34px;padding:0 14px}.gallery-selection-count{font-size:.82rem;font-weight:700;color:var(--md-sys-color-primary);padding:7px 10px;border-radius:var(--md-shape-corner-full);background:var(--md-sys-color-primary-container)}.gallery-hint{margin-top:8px;font-size:.78rem;color:var(--md-sys-color-outline)}.gallery-grid{display:grid;grid-template-columns:repeat(auto-fill,minmax(130px,1fr));gap:12px;margin-top:16px}.gallery-item{aspect-ratio:1;border-radius:var(--md-shape-corner-medium);overflow:hidden;border:1px solid var(--border-color-muted);cursor:pointer;position:relative;contain:layout paint style;transition:border-color var(--md-transition-duration),box-shadow var(--md-transition-duration),transform var(--md-transition-duration)}.gallery-item.selected{border-color:var(--md-sys-color-primary);box-shadow:0 0 0 3px #4f46e540}.gallery-thumb{width:100%;height:100%;object-fit:cover;transition:transform var(--md-transition-duration) var(--md-transition-easing)}.gallery-item:hover .gallery-thumb{transform:scale(1.05)}.gallery-select-badge{position:absolute;top:8px;right:8px;width:26px;height:26px;border-radius:50%;display:grid;place-items:center;color:var(--md-sys-color-on-primary);background:var(--md-sys-color-primary);box-shadow:0 2px 8px #00000047}.app-dialog-backdrop{position:fixed;inset:0;z-index:1000;display:flex;align-items:center;justify-content:center;padding:24px;background:#080c18a3;-webkit-backdrop-filter:blur(4px) saturate(.86);backdrop-filter:blur(4px) saturate(.86)}.app-dialog{width:min(460px,100%);background:color-mix(in srgb,var(--md-sys-color-surface) 96%,white 4%);color:var(--md-sys-color-on-surface);border:1px solid color-mix(in srgb,var(--md-sys-color-outline) 55%,transparent);border-radius:var(--md-shape-corner-large);box-shadow:0 22px 60px #0000006b,0 0 0 1px #ffffff14 inset;padding:24px}.app-dialog-title{font-size:1.15rem;font-weight:800;margin:0 0 10px}.app-dialog-message{font-size:.92rem;line-height:1.45;color:var(--md-sys-color-on-surface-variant);margin:0;white-space:pre-wrap}.app-dialog-actions{display:flex;justify-content:flex-end;gap:10px;margin-top:22px;flex-wrap:wrap}.gallery-empty{text-align:center;padding:36px;color:var(--md-sys-color-on-surface-variant);font-size:.85rem;opacity:.8}@keyframes spin{0%{transform:rotate(0)}to{transform:rotate(360deg)}}@keyframes pulse{0%,to{opacity:1;transform:scale(1)}50%{opacity:.55;transform:scale(1.06)}}.sidebar-specs-header{display:flex;align-items:center;gap:6px;margin-bottom:6px;font-weight:600;color:var(--md-sys-color-on-background)}.sidebar-specs-item{text-overflow:ellipsis;overflow:hidden;white-space:nowrap;opacity:.85;margin-bottom:2px;color:var(--md-sys-color-on-background)}.sidebar-specs-os{color:var(--md-sys-color-primary);font-weight:600;margin-top:4px} diff --git a/app/dist/index.html b/app/dist/index.html deleted file mode 100644 index eee907d..0000000 --- a/app/dist/index.html +++ /dev/null @@ -1,18 +0,0 @@ - - - - - - - - - - Local AI Image Generator - - - - - -
- - From d4cdc6ae284ce00e8d1682978fb01e23ebc6a5ff Mon Sep 17 00:00:00 2001 From: techjarves Date: Sat, 13 Jun 2026 15:36:43 +0530 Subject: [PATCH 09/69] feat: add OpenVINO NPU worker support and frontend UI components for model management and image generation --- README.md | 5 + app/frontend/src/App.jsx | 26 +- app/frontend/src/components/Generator.jsx | 5 +- .../src/components/ImageConstraints.jsx | 130 ++++- app/frontend/src/components/ModelManager.jsx | 66 ++- app/frontend/src/services/api.js | 97 +++- linux.sh | 21 +- .../openvino_npu_worker.cpython-313.pyc | Bin 0 -> 12022 bytes scripts/openvino_npu_worker.py | 187 +++++++ scripts/serve.cjs | 491 +++++++++++++++++- scripts/setup-openvino-npu.ps1 | 46 ++ scripts/setup-openvino-npu.sh | 85 +++ scripts/setup.ps1 | 14 +- 13 files changed, 1125 insertions(+), 48 deletions(-) create mode 100644 scripts/__pycache__/openvino_npu_worker.cpython-313.pyc create mode 100644 scripts/openvino_npu_worker.py create mode 100644 scripts/setup-openvino-npu.ps1 create mode 100644 scripts/setup-openvino-npu.sh diff --git a/README.md b/README.md index 4b69955..91bd63b 100644 --- a/README.md +++ b/README.md @@ -37,6 +37,7 @@ 1. **Check compatibility:** Prebuilt Linux backends are built on Ubuntu 24.04 and require **glibc 2.38+**. Run `ldd --version` to verify. 2. **Launch:** Open a terminal in the project folder and run **`./linux.sh`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). - For maximum AMD GPU performance, use **`./linux.sh --max-perf`** on first setup (adds the ROCm backend). + - For Intel Core Ultra NPU support, install the Intel Linux NPU driver, then run **`./linux.sh --setup-openvino`**. 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. @@ -100,6 +101,7 @@ local-ai-image-generator/ | **NVIDIA** | Vulkan | CPU | No reliable prebuilt Linux CUDA binary is currently available. NVIDIA GPUs use Vulkan. | | **AMD Radeon** | ROCm | Vulkan | ROCm provides best AMD performance when host ROCm drivers are available. | | **Intel Arc / integrated** | Vulkan | CPU | Cross-vendor Vulkan support. | +| **Intel Core Ultra NPU** | OpenVINO NPU | CPU | Requires the Intel Linux NPU driver, kernel 6.6+, Python 3, and `./linux.sh --setup-openvino`. | | **Integrated / None** | CPU | — | Runs on logical CPU threads (slow). | ### macOS @@ -110,13 +112,16 @@ local-ai-image-generator/ | **Intel Mac** | Source build required | CPU | Official prebuilt macOS backend is Apple Silicon only. | **System requirements:** +- **64-bit Windows 10 or Windows 11** is required for the portable Node.js 22 runtime used by the Windows launcher. - **glibc 2.38 or newer** is required for the prebuilt Linux backends (Ubuntu 24.04, Fedora 40+, etc.). - The setup script will warn you if your glibc is older. You can still run setup, but the prebuilt backends will not start. +- **Linux OpenVINO NPU:** Intel Core Ultra, x86_64 Linux, kernel 6.6+, a working `/dev/accel/accel0` device, Python 3 with `venv`, and the Intel Linux NPU driver are required. - **Apple Silicon (M1 or newer)** is required for the prebuilt macOS Metal backend. **Linux setup modes:** - **Default (`./linux.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). - **Maximum Performance (`./linux.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB. +- **Intel NPU (`./linux.sh --setup-openvino`)**: Creates a local OpenVINO Python environment and verifies that the Intel NPU driver exposes an `NPU` device. --- diff --git a/app/frontend/src/App.jsx b/app/frontend/src/App.jsx index 817bfb1..5063f1f 100644 --- a/app/frontend/src/App.jsx +++ b/app/frontend/src/App.jsx @@ -97,6 +97,8 @@ function App() { width: 1024, height: 1024, steps: 4, // Recommended default steps for Flux.1 Schnell/Lightning + npuSteps: 4, + standardSteps: 20, cfgScale: 1.0, // Recommended default CFG for Flux.1 Schnell sampler: "euler_a", seed: -1, @@ -277,10 +279,22 @@ function App() { useEffect(() => { if (activeModel) { const name = activeModel.toLowerCase(); - if (name.includes("flux") || name.includes("schnell")) { + if (name.includes("lcm-dreamshaper-v7-fp16")) { setConstraints((prev) => ({ ...prev, steps: 4, + npuSteps: 4, + cfgScale: 1.0, + width: 512, + height: 512, + backendType: "openvino-npu", + useGpu: true, + })); + } else if (name.includes("flux") || name.includes("schnell")) { + setConstraints((prev) => ({ + ...prev, + steps: 4, + standardSteps: 4, cfgScale: 1.0, width: 1024, height: 1024, @@ -289,6 +303,7 @@ function App() { setConstraints((prev) => ({ ...prev, steps: 4, + standardSteps: 4, cfgScale: 1.5, width: 1024, height: 1024, @@ -297,6 +312,7 @@ function App() { setConstraints((prev) => ({ ...prev, steps: 25, + standardSteps: 25, cfgScale: 7.0, width: 512, height: 512, @@ -305,6 +321,7 @@ function App() { setConstraints((prev) => ({ ...prev, steps: 20, + standardSteps: 20, cfgScale: 4.5, width: 1024, height: 1024, @@ -314,6 +331,7 @@ function App() { setConstraints((prev) => ({ ...prev, steps: 20, + standardSteps: 20, cfgScale: 7.0, width: 512, height: 512, @@ -353,6 +371,7 @@ function App() { serverRunning={serverRunning} setServerRunning={setServerRunning} constraints={constraints} + backendOptions={backendOptions} showAlert={showAlert} showConfirm={showConfirm} /> @@ -365,6 +384,11 @@ function App() { activeModel={activeModel} specs={specs} backendOptions={backendOptions} + serverRunning={serverRunning} + setServerRunning={setServerRunning} + setActiveModel={setActiveModel} + showAlert={showAlert} + showConfirm={showConfirm} /> ); default: diff --git a/app/frontend/src/components/Generator.jsx b/app/frontend/src/components/Generator.jsx index e9e8e68..8fc9048 100644 --- a/app/frontend/src/components/Generator.jsx +++ b/app/frontend/src/components/Generator.jsx @@ -98,6 +98,8 @@ function Generator({ settings.sampler !== constraints.sampler || parseInt(settings.threads) !== parseInt(constraints.threads) || Boolean(settings.useGpu) !== (constraints.useGpu !== false) || + parseInt(settings.width || 512) !== parseInt(constraints.width || 512) || + parseInt(settings.height || 512) !== parseInt(constraints.height || 512) || (settings.backendType || (settings.useGpu === false ? "cpu" : "auto")) !== (constraints.backendType || (constraints.useGpu === false ? "cpu" : "auto"))) { needsRestart = true; } @@ -115,7 +117,8 @@ function Generator({ let isReady = false; let crashError = null; - for (let i = 0; i < 240; i++) { // Poll for up to 120 seconds (240 * 500ms) + const maxStartupPolls = constraints.backendType === "openvino-npu" ? 1200 : 240; + for (let i = 0; i < maxStartupPolls; i++) { const status = await getBackendStatus(); if (status.loading) { setRestartLoadProgress({ diff --git a/app/frontend/src/components/ImageConstraints.jsx b/app/frontend/src/components/ImageConstraints.jsx index 8633db3..5f23b0d 100644 --- a/app/frontend/src/components/ImageConstraints.jsx +++ b/app/frontend/src/components/ImageConstraints.jsx @@ -1,5 +1,6 @@ -import React, { memo } from "react"; +import React, { memo, useEffect } from "react"; import { Crop, Sliders, Cpu, Info } from "lucide-react"; +import { stopServer } from "../services/api"; const ASPECT_RATIOS = [ { id: "1:1", label: "1:1 Square", width: 512, height: 512, sdxl_width: 1024, sdxl_height: 1024, desc: "Social posts & avatars" }, @@ -17,26 +18,55 @@ const isSD15OrCustomModel = (modelName) => { return true; }; -function ImageConstraints({ constraints, setConstraints, activeModel, specs, backendOptions }) { +function ImageConstraints({ + constraints, + setConstraints, + activeModel, + specs, + backendOptions, + serverRunning, + setServerRunning, + setActiveModel, + showAlert = async ({ message }) => window.alert(message), + showConfirm = async ({ message }) => window.confirm(message), +}) { const isSD15OrCustom = activeModel ? isSD15OrCustomModel(activeModel) : false; + const isOpenVinoNpu = constraints.backendType === "openvino-npu"; + const forceStandardMode = isSD15OrCustom && !isOpenVinoNpu; const availableBackends = backendOptions?.options?.length ? backendOptions.options : [{ id: "cpu", label: "CPU", available: true }]; + useEffect(() => { + if (isOpenVinoNpu && constraints.steps > 8) { + setConstraints((prev) => ({ ...prev, steps: 8, npuSteps: 8 })); + } + }, [constraints.steps, isOpenVinoNpu, setConstraints]); + const updateConstraint = (key, value) => { setConstraints((prev) => ({ ...prev, - [key]: value + [key]: value, + ...(key === "steps" + ? isOpenVinoNpu + ? { npuSteps: value } + : { standardSteps: value } + : {}), })); }; const handleAspectRatioChange = (ratio, sizeType) => { + if (isOpenVinoNpu && ratio !== "1:1") return; const isSDXL = sizeType === "sdxl" && !isSD15OrCustom; const selected = ASPECT_RATIOS.find((r) => r.id === ratio); if (selected) { let w = isSDXL ? selected.sdxl_width : selected.width; let h = isSDXL ? selected.sdxl_height : selected.height; - if (isSD15OrCustom) { + if (isOpenVinoNpu) { + const size = constraints.width >= 1024 ? 1024 : 512; + w = size; + h = size; + } else if (isSD15OrCustom) { if (w > h) { h = Math.round((h * 512) / w); w = 512; @@ -52,11 +82,55 @@ function ImageConstraints({ constraints, setConstraints, activeModel, specs, bac } }; - const handleBackendChange = (backendType) => { + const handleBackendChange = async (backendType) => { + const currentBackend = constraints.backendType || "cpu"; + if (backendType === currentBackend) return; + + const isGpuBackend = (type) => !["cpu", "openvino-npu"].includes(type); + const switchesAccelerator = + (currentBackend === "openvino-npu" && isGpuBackend(backendType)) || + (isGpuBackend(currentBackend) && backendType === "openvino-npu"); + + if (serverRunning && switchesAccelerator) { + const leavingNpu = currentBackend === "openvino-npu"; + const confirmed = await showConfirm({ + title: leavingNpu ? "Unload NPU Model?" : "Unload GPU Model?", + message: leavingNpu + ? "The OpenVINO NPU model must be unloaded before switching to the GPU backend." + : "The GPU model must be unloaded before switching to the OpenVINO NPU backend.", + confirmLabel: "Unload", + cancelLabel: "Cancel", + danger: true, + }); + if (!confirmed) return; + + try { + await stopServer(); + setServerRunning(false); + setActiveModel(null); + } catch (err) { + await showAlert({ + title: "Unload Failed", + message: err.message || String(err), + danger: true, + }); + return; + } + } + setConstraints((prev) => ({ ...prev, backendType, useGpu: backendType !== "cpu", + steps: backendType === "openvino-npu" + ? Math.max(1, Math.min(8, prev.npuSteps || 4)) + : Math.max(1, Math.min(60, prev.standardSteps || 20)), + ...(backendType === "openvino-npu" + ? { + width: prev.width >= 1024 ? 1024 : 512, + height: prev.width >= 1024 ? 1024 : 512, + } + : {}), })); }; @@ -79,7 +153,25 @@ function ImageConstraints({ constraints, setConstraints, activeModel, specs, bac 1. Picture Size & Shape - {isSD15OrCustom && ( + {isOpenVinoNpu ? ( +
+ +
+ OpenVINO NPU Resolution: The NPU generates at its stable 512x512 resolution. HD mode produces a 1024x1024 output using high-quality Lanczos upscaling without recompiling the model. +
+
+ ) : isSD15OrCustom && (
- {isSD15OrCustom ? ( + {forceStandardMode ? (
- High Quality Mode (1024px) + {isOpenVinoNpu ? "HD Upscale (1024px)" : "High Quality Mode (1024px)"}
) : (
- High Quality Mode (1024px) + {isOpenVinoNpu ? "HD Upscale (1024px)" : "High Quality Mode (1024px)"}
)}
{ updateConstraint("width", 512); updateConstraint("height", 512); @@ -139,7 +231,9 @@ function ImageConstraints({ constraints, setConstraints, activeModel, specs, bac
- {isSD15OrCustom + {isOpenVinoNpu + ? "*HD mode generates at 512x512 on the NPU, then upscales to 1024x1024. It improves output size, but does not add native diffusion detail." + : isSD15OrCustom ? "*Standard Speed Mode (512px) is forced for SD 1.5 / custom models to ensure stable local generations." : "*Use High Quality (1024px) for Flux or SDXL models. Use Standard (512px) for SD 1.5."} @@ -151,10 +245,12 @@ function ImageConstraints({ constraints, setConstraints, activeModel, specs, bac
{ASPECT_RATIOS.map((ratio) => { const isActive = Math.abs((constraints.width / constraints.height) - (ratio.width / ratio.height)) < 0.1; + const isUnsupportedOpenVinoShape = isOpenVinoNpu && ratio.id !== "1:1"; return (
diff --git a/app/frontend/src/components/ModelManager.jsx b/app/frontend/src/components/ModelManager.jsx index fa20bc8..bb78cc1 100644 --- a/app/frontend/src/components/ModelManager.jsx +++ b/app/frontend/src/components/ModelManager.jsx @@ -1,6 +1,6 @@ import React, { memo, useState, useEffect } from "react"; import { FolderOpen, DownloadCloud, RefreshCw, Database, Trash2, Square, HardDrive, Library, AlertTriangle } from "lucide-react"; -import { listLocalModels, startServer, stopServer, importModelFile, deleteModel, downloadModel, cancelModelDownload, getDownloadProgress, getBackendStatus, pingServer, formatBytes, normalizeModel } from "../services/api"; +import { listLocalModels, startServer, stopServer, importModelFile, deleteModel, downloadModel, downloadOpenVinoModel, cancelModelDownload, getDownloadProgress, getBackendStatus, pingServer, formatBytes, normalizeModel } from "../services/api"; const MODEL_LIBRARY = [ { @@ -60,7 +60,26 @@ const MODEL_LIBRARY = [ }, ]; -function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message) }) { +const OPENVINO_MODEL_LIBRARY = [ + { + group: "Intel NPU - OpenVINO Test", + items: [ + { + id: "lcm-dreamshaper-v7-fp16", + name: "LCM DreamShaper v7 FP16", + filename: "lcm-dreamshaper-v7-fp16", + format: "OpenVINO", + backendType: "openvino-npu", + approxSize: "2.0 GB", + resolution: "512x512", + notes: "NPU test model for Windows and Linux. Runs the text encoder on CPU, UNet on Intel NPU, and VAE decoder on Intel GPU or CPU fallback.", + url: "https://huggingface.co/OpenVINO/LCM_Dreamshaper_v7-fp16-ov", + }, + ], + }, +]; + +function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message) }) { const [localModels, setLocalModels] = useState([]); const [downloadingModelId, setDownloadingModelId] = useState(null); const [downloadProgress, setDownloadProgress] = useState(0); @@ -78,6 +97,9 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun const modelNames = localModels.map((model) => normalizeModel(model).filename); const isBusy = loadingModelId !== null || isUnloading; + const openvinoSupported = Boolean(backendOptions?.openvinoNpu?.supported); + const visibleModelLibrary = openvinoSupported ? [...MODEL_LIBRARY, ...OPENVINO_MODEL_LIBRARY] : MODEL_LIBRARY; + const getLocalModelInfo = (modelId) => localModels.map(normalizeModel).find((model) => model.filename === modelId); useEffect(() => { fetchModels(); @@ -217,7 +239,21 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun setDownloadUrl(""); }; - const handleLibraryDownload = (model) => { + const handleLibraryDownload = async (model) => { + if (model.backendType === "openvino-npu") { + if (downloadingModelId) return; + try { + const res = await downloadOpenVinoModel(model.id); + if (res.ok) { + startProgressPolling(model.filename); + } else { + showAlert({ title: "Download Failed", message: res.error || "Unknown error", danger: true }); + } + } catch (err) { + showAlert({ title: "Download Error", message: err.message, danger: true }); + } + return; + } downloadByUrl(model.url, model.filename); }; @@ -246,7 +282,11 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun if (!isTauriDesktop && !isLocalServerMode) { const isAlreadyRunning = await pingServer(); - const cmd = `.\\backend\\win\\vulkan\\sd-vulkan.exe --listen-port ${backendPort} --model .\\models\\${modelId} --threads 8`; + const modelInfo = getLocalModelInfo(modelId); + const isOpenVinoModel = modelInfo?.backendType === "openvino-npu"; + const cmd = isOpenVinoModel + ? `Run the platform launcher and load "${modelId}" from Model Manager on a configured Intel NPU machine.` + : `.\\backend\\win\\vulkan\\sd-vulkan.exe --listen-port ${backendPort} --model .\\models\\${modelId} --threads 8`; if (isAlreadyRunning) { if (await showConfirm({ title: "Web Browser Mode", message: `To load "${modelId}" on the active GPU server, restart your terminal backend with:\n\n${cmd}\n\nUpdate the UI status anyway?`, confirmLabel: "Update UI" })) { @@ -275,7 +315,19 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun device: "", }); try { - const response = await startServer(modelId, constraints); + const modelInfo = getLocalModelInfo(modelId); + const loadConstraints = modelInfo?.backendType === "openvino-npu" + ? { + ...constraints, + backendType: "openvino-npu", + useGpu: true, + width: constraints.width >= 1024 ? 1024 : 512, + height: constraints.height >= 1024 ? 1024 : 512, + steps: Math.max(1, Math.min(8, constraints.steps || 4)), + cfgScale: constraints.cfgScale || 1, + } + : constraints; + const response = await startServer(modelId, loadConstraints); console.log(response); let isReady = false; @@ -601,7 +653,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
{filename} - Local Weights File • {model.size || formatBytes(model.sizeBytes)} + {model.backendType === "openvino-npu" ? "OpenVINO NPU Model" : model.format || "Local Weights File"} • {model.size || formatBytes(model.sizeBytes)}
@@ -654,7 +706,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
- {MODEL_LIBRARY.map((section) => ( + {visibleModelLibrary.map((section) => (

{section.group}

diff --git a/app/frontend/src/services/api.js b/app/frontend/src/services/api.js index 035982b..88ea70e 100644 --- a/app/frontend/src/services/api.js +++ b/app/frontend/src/services/api.js @@ -48,8 +48,12 @@ export function normalizeModel(model) { } return { filename: model?.filename || model?.name || "", + name: model?.name || model?.filename || "", sizeBytes: Number(model?.sizeBytes || 0), size: model?.size || (model?.sizeBytes ? formatBytes(model.sizeBytes) : "Unknown"), + format: model?.format || "Local Weights File", + backendType: model?.backendType || "", + resolution: model?.resolution || "", }; } @@ -254,6 +258,8 @@ export async function startServer(modelPath, constraints) { threads: constraints.threads || 8, use_gpu: constraints.useGpu !== false, backend_type: constraints.backendType || (constraints.useGpu === false ? "cpu" : "auto"), + width: constraints.width || 512, + height: constraints.height || 512, vae_tiling: constraints.vaeTiling !== false, vae_on_cpu: constraints.vaeOnCpu === true, }), @@ -330,14 +336,34 @@ export async function deleteGeneratedOutputs(outputs) { // List model files from the models folder (via management API in web mode) export async function listModelsFromDisk() { try { - const r = await fetch("/api/models"); - const data = await r.json(); - return (data.models || []).map(normalizeModel); + const [modelRes, openvino] = await Promise.all([ + fetch("/api/models"), + listOpenVinoModels().catch(() => ({ supported: false, models: [] })), + ]); + const data = await modelRes.json(); + const normalModels = (data.models || []).map(normalizeModel); + const openvinoModels = openvino.supported + ? (openvino.models || []).filter((model) => model.installed).map((model) => normalizeModel({ + filename: model.id, + name: model.name, + sizeBytes: model.sizeBytes, + size: model.size, + format: "OpenVINO", + backendType: "openvino-npu", + resolution: model.resolution, + })) + : []; + return [...normalModels, ...openvinoModels]; } catch (_) { return []; } } +export async function listOpenVinoModels() { + const res = await fetch("/api/openvino-models"); + return await readJsonResponse(res, "The local server returned invalid OpenVINO model data."); +} + // Generate image (T2I / I2I) // Handles API calls to sd-server. If the server is unreachable or returns an error, // we surface that error to the UI instead of silently returning a fake placeholder. @@ -345,8 +371,6 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM console.log("Initiating image generation:", { prompt, negativePrompt, constraints, activeModelName }); const startTime = Date.now(); - const baseUrl = await getBackendBaseUrl(); - // Prepare payload based on standard stable-diffusion.cpp REST endpoint schemas const payload = { prompt: prompt, @@ -361,6 +385,45 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM denoising_strength: constraints.denoisingStrength || 0.7, }; + if (constraints.backendType === "openvino-npu") { + if (inputImageBase64) { + throw new Error("OpenVINO NPU test mode currently supports text-to-image only."); + } + const response = await fetch("/api/openvino-generate", { + method: "POST", + headers: { "Content-Type": "application/json" }, + signal, + body: JSON.stringify({ + prompt: payload.prompt, + negative_prompt: payload.negative_prompt, + steps: payload.steps, + cfg_scale: payload.cfg_scale, + seed: payload.seed, + width: payload.width, + height: payload.height, + }), + }); + const data = await readJsonResponse(response, "The local server returned an invalid OpenVINO generation response."); + const imgB64 = data?.data?.[0]?.b64_json; + if (!imgB64) throw new Error("OpenVINO generation did not return an image."); + const normalizedB64 = String(imgB64).replace(/^data:[^;]+;base64,/, ""); + const header = atob(normalizedB64.slice(0, 24)); + const isPng = header.charCodeAt(0) === 0x89 && header.slice(1, 4) === "PNG"; + const isJpeg = header.charCodeAt(0) === 0xff && header.charCodeAt(1) === 0xd8 && header.charCodeAt(2) === 0xff; + const isWebp = header.slice(0, 4) === "RIFF" && header.slice(8, 12) === "WEBP"; + if (!isPng && !isJpeg && !isWebp) { + throw new Error("OpenVINO generation returned an invalid image payload instead of a real PNG/JPEG/WebP."); + } + const durationSec = Number(data.duration_sec) || parseFloat(((Date.now() - startTime) / 1000).toFixed(1)); + return { + image: `data:image/png;base64,${normalizedB64}`, + seed: data.data?.[0]?.seed ?? payload.seed, + duration_sec: durationSec, + }; + } + + const baseUrl = await getBackendBaseUrl(); + // txt2img uses /v1/images/generations; img2img uses /sdapi/v1/img2img. const isImg2Img = !!payload.image; @@ -416,9 +479,17 @@ export async function generateImage(prompt, negativePrompt, constraints, activeM // Response: { data: [{ b64_json: "..." }] } const imgB64 = data?.data?.[0]?.b64_json ?? data?.images?.[0]; if (imgB64) { + const normalizedB64 = String(imgB64).replace(/^data:[^;]+;base64,/, ""); + const header = atob(normalizedB64.slice(0, 24)); + const isPng = header.charCodeAt(0) === 0x89 && header.slice(1, 4) === "PNG"; + const isJpeg = header.charCodeAt(0) === 0xff && header.charCodeAt(1) === 0xd8 && header.charCodeAt(2) === 0xff; + const isWebp = header.slice(0, 4) === "RIFF" && header.slice(8, 12) === "WEBP"; + if (!isPng && !isJpeg && !isWebp) { + throw new Error("Generation returned an invalid image payload instead of a real PNG/JPEG/WebP."); + } const durationSec = parseFloat(((Date.now() - startTime) / 1000).toFixed(1)); return { - image: `data:image/png;base64,${imgB64}`, + image: `data:image/png;base64,${normalizedB64}`, seed: data.data?.[0]?.seed ?? payload.seed, duration_sec: durationSec, }; @@ -654,6 +725,20 @@ export async function downloadModel(url) { } } +export async function downloadOpenVinoModel(modelId) { + try { + const res = await fetch("/api/download-openvino-model", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ model_id: modelId }) + }); + return await readJsonResponse(res, "The local server returned an invalid OpenVINO download response."); + } catch (e) { + console.error("Failed to start OpenVINO model download:", e); + return { ok: false, error: e.message }; + } +} + export async function cancelModelDownload() { try { const res = await fetch("/api/cancel-download", { method: "POST" }); diff --git a/linux.sh b/linux.sh index 5eccac2..f7ee797 100755 --- a/linux.sh +++ b/linux.sh @@ -30,10 +30,27 @@ FRONTEND_PORT="${FRONTEND_PORT:-1420}" SETUP_REASON="" SETUP_MODE="Repair" MAX_PERF_FLAG="" +SETUP_OPENVINO=0 # Parse args -if [[ "${1:-}" == "--max-perf" ]]; then - MAX_PERF_FLAG="--max-perf" +for arg in "$@"; do + case "$arg" in + --max-perf) + MAX_PERF_FLAG="--max-perf" + ;; + --setup-openvino) + SETUP_OPENVINO=1 + ;; + *) + echo "[ERROR] Unknown option: $arg" >&2 + echo "Usage: ./linux.sh [--max-perf] [--setup-openvino]" >&2 + exit 1 + ;; + esac +done + +if [[ $SETUP_OPENVINO -eq 1 ]]; then + bash "$SCRIPT_DIR/scripts/setup-openvino-npu.sh" fi # ── Symlink node_modules to avoid OS conflicts ────────────────────────────── diff --git a/scripts/__pycache__/openvino_npu_worker.cpython-313.pyc b/scripts/__pycache__/openvino_npu_worker.cpython-313.pyc new file mode 100644 index 0000000000000000000000000000000000000000..4ca397fd11e61ed30690c4a1619fbd5210c8cf94 GIT binary patch literal 12022 zcma(%YiwKBdH3>OzDd0$OR^r6EZL@HN`A;M`6=sRTTS4`Z<2}@H~6fNpfJD2i9 zX#%%cI|oZqZEFy_9bkD2V5u=+c`X*D3l^{FFc&CL(o{h1M(qN$*x-M1?ZKHlVEevv zc}be4;~a_SoO{l9p5J%A*EtXEb_)Yx%H}%D)iccR@k0xID)Vp!GVd`0Bd`MuQB#(% z^jk-CH020KQ=agU>IU@v24d(p5~Bm*xdBtZnV4ywAF%XWiIwKr0UNQ?b_JvmQvEB7coaITWU=u7fS9ZEwuy&qe7@vt@PM0+@ zyHnG4Fab8eI_>xId&sF%DvtSN@x;B&7P2)4qV{PYpm57?g&G`yhFbInCh4z^1UUA-dDNz@63$ zJpA;h`3@5<2_|n4EP{#VjDne%0!F7*vA!B6Qz8)}zKD3g5c*Qg)8TP36})=03J1bKpV4G9$=ihp+2XDSfPa2 zFtTG*0Fk0cY+O|IA|YX-m}Y`AVkjtyig8>#7xas=!bgJBqGFLFJ`xefy}pQ3ukf-M zn#k9kjEit!Q0inq3C=|1_VA1-oeN4~uQW63Jx@2jZRVn4@_K_(Fyi$pWm(v0(@Jr5 z@)3wGG0CdNcMFo`)$dx86*cc#wa?2u6qHxdq_PGQdvXJQ+19G-t~r0?{Bi4L{`-Xw zp$lfnpGF9L;l@zZeF3O>kEvtE5QYYK8d+LN_NKbi2+Pz;ETED-0R8)F8D=bvC_yK1 z?lcNA@E&$|YAyxLE}fPaS%HUM0L%w75cpwM&`UZ&4}I$dLmQV(9%G0+8U&+JfLd#{+MrN!^`^rBvZM|A5 zaURaSQEQV)1sk-l$$V=$D6P}-nN+avPGQEuKz|LH8ZDRF$%3cmmuL0bytcDK;eOu1 zoZ22LPWNE~ER<+pS^HX~?R9`@V8%9U5Jtv#kYOY~YfN72A9_mfWL8hbu)eKY`%H>h z8*9s`#PRHmHaP^7MtUNh)GzT(0X!a0? zVAyRA9Oe*Adz&L`s6!xPj59tWN)cHxi5G%$#2cQvk4Njj)NNTmqL{n8x=-|adrrDR zoEZFJX(AYyE6W+#-P_gkjk$`P(q6ZF*xl)XQTT}<$gNG#sdIy(3!hW??l2LR;`Hvp z>Qzo@bI(f1EPE*{<ej zoNye7ISxc^waLP=XpJjg=vu32OjaDf%m2pwD|6KCkDnNi9v7o!6AwAvhLUwgS6s4g zU^Z=ywjPW(9=uw9r}=XK7mns+Wo@$F`M}866kP6kckq#gv6n>4b}n~(boln+=+0x& zlJ2`5_iQ6;w&HaiTYMmSpm$~4I>#2DV85uS{-cq%7py~@;vWpXGnBA7Vm8NO*$N-U z+@ZD7%0y}Fz0%g3-OKz(1-A?0+m6Ibk6!Lc+KPTK_|D*!;wwGZ2Cfb)mffmes$LdW zZTnL-$)a-lU!APn^nn2NbxU>e=6%r(``68kz3Ks@hhc3@ZNs}SC97&-;{7ncXvx-P zK5pCn2-0x+_ATJEBCKk^^kX(sqCi2MRBeY2o>*Xx*+Ay1C{nm zI>kW5$SjeDoMx1}l5biBxoh!y;b6{&FmLmE|7_M5O4Ss4y%RwqM^F<0!R;lejVK%v zG0uw|!q0NA7nFiX&<{F6gapsbf&%CDE-|DUL6DXR%0C*RjwK^!`yNn_S-*LqX`O*& zQKrdCH%;#LJi@}q6^;55wG(Ww=y4SBDG82R29@B*3f}-3jw-B&=>S;_nx09}WhDA; 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Devices: {', '.join(available_devices)}" + ) + vae_device = "GPU" if "GPU" in available_devices else "CPU" + self.devices = { + "text_encoder": "CPU", + "unet": "NPU", + "vae_decoder": vae_device, + } + print(f"[openvino-npu] Loading model: {self.model_dir}", flush=True) + print( + "[openvino-npu] Devices: " + f"text_encoder=CPU, unet=NPU, vae_decoder={vae_device}", + flush=True, + ) + self.cache_dir.mkdir(parents=True, exist_ok=True) + pipe = genai.Text2ImagePipeline(str(self.model_dir)) + pipe.reshape(1, self.height, self.width, 1.0) + pipe.compile( + "CPU", + "NPU", + vae_device, + config={"CACHE_DIR": str(self.cache_dir)}, + ) + self.pipeline = pipe + self.ready = True + print("[openvino-npu] READY", flush=True) + except Exception as exc: + self.error = str(exc) + print(f"[openvino-npu] ERROR: {self.error}", file=sys.stderr, flush=True) + raise + + +def make_handler(state: WorkerState): + class Handler(BaseHTTPRequestHandler): + def _json(self, code: int, payload: dict) -> None: + body = json.dumps(payload).encode("utf-8") + self.send_response(code) + self.send_header("Content-Type", "application/json") + self.send_header("Access-Control-Allow-Origin", "*") + self.send_header("Content-Length", str(len(body))) + self.end_headers() + self.wfile.write(body) + + def do_OPTIONS(self) -> None: + self.send_response(204) + self.send_header("Access-Control-Allow-Origin", "*") + self.send_header("Access-Control-Allow-Headers", "Content-Type") + self.send_header("Access-Control-Allow-Methods", "GET,POST,OPTIONS") + self.end_headers() + + def do_GET(self) -> None: + if self.path == "/health": + self._json(200, { + "ok": state.ready and not state.error, + "ready": state.ready, + "error": state.error, + "model": str(state.model_dir), + "devices": state.devices, + "uptime_sec": round(time.time() - state.started_at, 1), + }) + return + self._json(404, {"ok": False, "error": "Unknown endpoint"}) + + def do_POST(self) -> None: + if self.path != "/generate": + self._json(404, {"ok": False, "error": "Unknown endpoint"}) + return + if not state.ready or state.pipeline is None: + self._json(503, {"ok": False, "error": state.error or "OpenVINO NPU worker is not ready"}) + return + + length = int(self.headers.get("Content-Length", "0") or "0") + try: + request = json.loads(self.rfile.read(length).decode("utf-8") or "{}") + prompt = str(request.get("prompt") or "").strip() + if not prompt: + raise ValueError("Prompt is required") + steps = max(1, min(8, int(request.get("steps") or 4))) + guidance_scale = float(request.get("guidance_scale") or request.get("cfg_scale") or 1.0) + width = int(request.get("width") or state.width) + height = int(request.get("height") or state.height) + if (width, height) not in ((512, 512), (1024, 1024)): + raise ValueError("OpenVINO NPU supports 512x512 generation or 1024x1024 HD upscale.") + + started = time.time() + last_step_at = started + + def progress_callback(step: int, num_steps: int, _latent) -> bool: + nonlocal last_step_at + now = time.time() + step_duration = max(0.001, now - last_step_at) + last_step_at = now + print( + f"[openvino-npu] PROGRESS {step + 1}/{num_steps} {1.0 / step_duration:.2f} it/s", + flush=True, + ) + return False + + generate_args = { + "width": state.width, + "height": state.height, + "num_inference_steps": steps, + "guidance_scale": guidance_scale, + "rng_seed": int(request.get("seed")) if request.get("seed") not in (None, -1) else int(time.time_ns() % (2**32)), + "callback": progress_callback, + } + negative_prompt = str(request.get("negative_prompt") or "").strip() + if negative_prompt and guidance_scale > 1.0: + generate_args["negative_prompt"] = negative_prompt + image_tensor = state.pipeline.generate(prompt, **generate_args) + print("[openvino-npu] DECODING", flush=True) + image = Image.fromarray(image_tensor.data[0]) + upscaled = width != state.width or height != state.height + if upscaled: + image = image.resize((width, height), Image.Resampling.LANCZOS) + buf = BytesIO() + image.save(buf, format="PNG") + encoded = base64.b64encode(buf.getvalue()).decode("ascii") + self._json(200, { + "ok": True, + "data": [{ + "b64_json": encoded, + "seed": request.get("seed"), + }], + "generated_size": f"{state.width}x{state.height}", + "output_size": f"{width}x{height}", + "upscaled": upscaled, + "duration_sec": round(time.time() - started, 2), + }) + except Exception as exc: + self._json(500, {"ok": False, "error": str(exc)}) + + def log_message(self, fmt: str, *args) -> None: + print(f"[openvino-npu-http] {fmt % args}", flush=True) + + return Handler + + +def main() -> None: + parser = argparse.ArgumentParser() + parser.add_argument("--model-dir", required=True, type=Path) + parser.add_argument("--port", required=True, type=int) + parser.add_argument("--width", type=int, default=512) + parser.add_argument("--height", type=int, default=512) + parser.add_argument("--cache-dir", type=Path, default=Path("app/tools/openvino-cache")) + args = parser.parse_args() + + state = WorkerState(args.model_dir, args.width, args.height, args.cache_dir) + state.load() + server = ThreadingHTTPServer(("127.0.0.1", args.port), make_handler(state)) + print(f"[openvino-npu] Listening on http://127.0.0.1:{args.port}", flush=True) + server.serve_forever() + + +if __name__ == "__main__": + main() diff --git a/scripts/serve.cjs b/scripts/serve.cjs index c8b901a..6b74f06 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -68,15 +68,38 @@ const MODELS = path.join(ROOT, "app", "models"); if (!fs.existsSync(MODELS)) { fs.mkdirSync(MODELS, { recursive: true }); } +const OPENVINO_MODELS = path.join(ROOT, "app", "openvino-models"); +if (!fs.existsSync(OPENVINO_MODELS)) { + fs.mkdirSync(OPENVINO_MODELS, { recursive: true }); +} const OUTPUTS = path.join(ROOT, "app", "outputs"); if (!fs.existsSync(OUTPUTS)) { fs.mkdirSync(OUTPUTS, { recursive: true }); } +const OPENVINO_NPU_MODELS = [ + { + id: "lcm-dreamshaper-v7-fp16", + name: "LCM DreamShaper v7 FP16", + repo: "OpenVINO/LCM_Dreamshaper_v7-fp16-ov", + folder: "LCM_Dreamshaper_v7-fp16-ov", + approxSize: "2.0 GB", + resolution: "512x512", + notes: "OpenVINO LCM image model. Uses CPU text encoder, NPU UNet, and GPU or CPU VAE decoder.", + }, +]; + // ── Backend process state ───────────────────────────────────────────────────── let backendProc = null; let backendReady = false; let backendError = null; +let openvinoProc = null; +let openvinoReady = false; +let openvinoError = null; +let openvinoPort = null; +let openvinoModel = null; +let openvinoWidth = null; +let openvinoHeight = null; let backendLoadState = { active: false, phase: "", @@ -104,6 +127,8 @@ let currentSettings = { backendType: "auto", vaeTiling: true, vaeOnCpu: false, + width: 512, + height: 512, }; let lastCpuSample = null; @@ -360,6 +385,98 @@ function getPathSize(targetPath) { } } +function getOpenVinoPythonCandidates() { + const candidates = []; + if (process.env.OPENVINO_PYTHON) candidates.push(process.env.OPENVINO_PYTHON); + if (osPlatform === "win32") { + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "Scripts", "python.exe")); + candidates.push("C:\\tmp\\npu-test-venv\\Scripts\\python.exe"); + candidates.push("python"); + } else { + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "bin", "python")); + candidates.push("python3"); + candidates.push("python"); + } + return [...new Set(candidates)]; +} + +function getOpenVinoPython() { + for (const candidate of getOpenVinoPythonCandidates()) { + try { + const result = spawnSync(candidate, [ + "-c", + "import openvino, openvino_genai, PIL; print(openvino.__version__)", + ], { encoding: "utf8", timeout: 10000, stdio: ["ignore", "pipe", "pipe"] }); + if (result.status === 0) return candidate; + } catch (_) {} + } + return null; +} + +function getOpenVinoNpuInfo() { + if (osPlatform !== "win32" && osPlatform !== "linux") { + return { supported: false, reason: "OpenVINO NPU backend is supported on Windows and Linux Intel Core Ultra systems." }; + } + const python = getOpenVinoPython(); + if (!python) { + const setupScript = osPlatform === "win32" + ? "scripts/setup-openvino-npu.ps1" + : "bash scripts/setup-openvino-npu.sh"; + return { + supported: false, + reason: `OpenVINO GenAI runtime is not installed. Run ${setupScript} first.`, + }; + } + try { + const script = [ + "import json, openvino as ov", + "core=ov.Core()", + "devices=core.available_devices", + "info={'devices':devices,'npu':None}", + "if 'NPU' in devices:", + " info['npu']={'name':core.get_property('NPU','FULL_DEVICE_NAME'),'capabilities':core.get_property('NPU','OPTIMIZATION_CAPABILITIES')}", + "print(json.dumps(info))", + ].join("\n"); + const result = spawnSync(python, ["-c", script], { encoding: "utf8", timeout: 15000, stdio: ["ignore", "pipe", "pipe"] }); + if (result.status !== 0) { + return { supported: false, python, reason: result.stderr.trim() || "OpenVINO NPU probe failed." }; + } + const info = JSON.parse(result.stdout.trim()); + if (!info.devices.includes("NPU")) { + return { supported: false, python, reason: `OpenVINO is installed, but NPU is not available. Devices: ${info.devices.join(", ")}` }; + } + return { supported: true, platform: osPlatform, python, devices: info.devices, npu: info.npu }; + } catch (err) { + return { supported: false, python, reason: err.message || String(err) }; + } +} + +function getOpenVinoModelInfo() { + return OPENVINO_NPU_MODELS.map((model) => { + const modelPath = path.join(OPENVINO_MODELS, model.folder); + const requiredFiles = [ + path.join(modelPath, "model_index.json"), + path.join(modelPath, "text_encoder", "openvino_model.xml"), + path.join(modelPath, "unet", "openvino_model.xml"), + path.join(modelPath, "vae_decoder", "openvino_model.xml"), + ]; + const installed = requiredFiles.every((file) => fs.existsSync(file)); + return { + ...model, + filename: model.id, + path: modelPath, + installed, + sizeBytes: getPathSize(modelPath), + size: formatBytes(getPathSize(modelPath)), + format: "OpenVINO", + }; + }); +} + +function findOpenVinoModel(modelId) { + return getOpenVinoModelInfo().find((model) => model.id === modelId || model.folder === modelId || model.name === modelId); +} + function pathInside(childPath, parentPath) { const relative = path.relative(path.resolve(parentPath), path.resolve(childPath)); return relative === "" || (!!relative && !relative.startsWith("..") && !path.isAbsolute(relative)); @@ -468,7 +585,7 @@ async function getHealth() { const ports = { frontend: { ...(await checkPort(PORT_FRONTEND)), expectedInUse: true }, - backend: { ...(await checkPort(PORT_BACKEND)), expectedInUse: backendProc !== null }, + backend: { ...(await checkPort(PORT_BACKEND)), expectedInUse: backendProc !== null || openvinoProc !== null }, }; ports.frontend.ok = !ports.frontend.available; ports.backend.preferred = PREFERRED_BACKEND_PORT; @@ -489,8 +606,8 @@ async function getHealth() { checks, ports, backend: { - ready: backendReady, - running: backendProc !== null, + ready: backendReady || openvinoReady, + running: backendProc !== null || openvinoProc !== null, error: backendError, settings: currentSettings, options: getBackendOptions(), @@ -609,12 +726,16 @@ function getBackendOptions() { // as Metal-capable so the UI does not default to CPU if a probe flag changes // upstream. const metalAvailable = metalInstalled; + const openvinoNpu = getOpenVinoNpuInfo(); + const openvinoModels = getOpenVinoModelInfo(); + const openvinoNpuAvailable = openvinoNpu.supported && openvinoModels.some((model) => model.installed); const options = [{ id: "cpu", label: "CPU", available: true }]; if (metalAvailable) options.push({ id: "metal", label: "Metal GPU", available: true }); if (vulkanAvailable) options.push({ id: "vulkan", label: "Vulkan GPU", available: true }); if (rocmAvailable) options.push({ id: "rocm", label: "ROCm GPU (AMD)", available: true }); if (cudaAvailable) options.push({ id: "cuda", label: "CUDA GPU", available: true }); + if (openvinoNpuAvailable) options.push({ id: "openvino-npu", label: "NPU (OpenVINO)", available: true }); const unavailable = []; if (vulkanInstalled && !vulkanAvailable) { @@ -629,6 +750,11 @@ function getBackendOptions() { if (metalInstalled && !metalAvailable) { unavailable.push({ id: "metal", label: "Metal GPU", reason: "Installed, but Metal backend validation failed." }); } + if (openvinoNpu.supported && !openvinoNpuAvailable) { + unavailable.push({ id: "openvino-npu", label: "NPU (OpenVINO)", reason: "Runtime is ready, but no OpenVINO NPU model is downloaded." }); + } else if (!openvinoNpu.supported && (osPlatform === "win32" || osPlatform === "linux")) { + unavailable.push({ id: "openvino-npu", label: "NPU (OpenVINO)", reason: openvinoNpu.reason }); + } let defaultBackend = "cpu"; if (metalAvailable) { @@ -654,6 +780,9 @@ function getBackendOptions() { vulkanAvailable, rocmAvailable, metalAvailable, + openvinoNpuAvailable, + openvinoNpu, + openvinoModels, defaultBackendType: defaultBackend, }; return cachedBackendOptions; @@ -795,6 +924,208 @@ function pingBackendReady() { }); } +function requestJson(url, payload = null, timeoutMs = 120000) { + return new Promise((resolve, reject) => { + const parsed = new URL(url); + const data = payload ? Buffer.from(JSON.stringify(payload), "utf8") : null; + const req = http.request({ + hostname: parsed.hostname, + port: parsed.port, + path: parsed.pathname + parsed.search, + method: data ? "POST" : "GET", + headers: data ? { + "Content-Type": "application/json", + "Content-Length": data.length, + } : {}, + timeout: timeoutMs, + }, (res) => { + let body = ""; + res.setEncoding("utf8"); + res.on("data", (chunk) => { body += chunk; }); + res.on("end", () => { + try { + const jsonBody = JSON.parse(body || "{}"); + if (res.statusCode < 200 || res.statusCode >= 300 || jsonBody.ok === false) { + reject(new Error(jsonBody.error || `HTTP ${res.statusCode}`)); + return; + } + resolve(jsonBody); + } catch (err) { + reject(err); + } + }); + }); + req.on("error", reject); + req.on("timeout", () => req.destroy(new Error("Request timed out"))); + if (data) req.write(data); + req.end(); + }); +} + +async function killOpenVinoWorker() { + if (!openvinoProc) { + openvinoReady = false; + return; + } + console.log(" [openvino-npu] Stopping worker..."); + try { openvinoProc.kill("SIGTERM"); } catch (_) {} + await new Promise((resolve) => setTimeout(resolve, 800)); + try { openvinoProc.kill("SIGKILL"); } catch (_) {} + openvinoProc = null; + openvinoReady = false; +} + +function getOpenVinoResolution(settings = {}) { + const width = Number(settings.width) || 512; + const height = Number(settings.height) || 512; + const supported = (width === 512 && height === 512) || (width === 1024 && height === 1024); + if (!supported) { + throw new Error("OpenVINO NPU supports 512x512 generation or 1024x1024 HD upscale."); + } + return { width, height }; +} + +async function startOpenVinoWorker(settings = {}) { + const npuInfo = getOpenVinoNpuInfo(); + if (!npuInfo.supported) throw new Error(npuInfo.reason || "OpenVINO NPU is not available."); + const model = findOpenVinoModel(settings.model) || getOpenVinoModelInfo().find((item) => item.installed); + if (!model || !model.installed) { + throw new Error("OpenVINO NPU model is not downloaded. Download an OpenVINO NPU model from Model Manager first."); + } + const { width, height } = getOpenVinoResolution(settings); + if (openvinoProc && + openvinoReady && + openvinoModel === model.id) { + currentSettings = { ...currentSettings, ...settings, model: model.id, width, height }; + return; + } + + await killBackend(); + await killOpenVinoWorker(); + openvinoError = null; + openvinoReady = false; + openvinoModel = model.id; + openvinoWidth = 512; + openvinoHeight = 512; + openvinoPort = await findAvailableBackendPort(); + PORT_BACKEND = openvinoPort; + + currentSettings = { ...currentSettings, ...settings }; + currentSettings.backendType = "openvino-npu"; + currentSettings.useGpu = true; + currentSettings.backendMode = "NPU (OpenVINO)"; + currentSettings.backendBinary = "openvino_npu_worker.py"; + currentSettings.backendDevice = npuInfo.npu?.name || "Intel AI Boost"; + currentSettings.model = model.id; + currentSettings.width = width; + currentSettings.height = height; + + backendError = null; + backendLoadState = { + active: true, + phase: "Compiling OpenVINO NPU pipeline (512x512)...", + progress: 5, + current: 0, + total: 0, + speed: "", + model: model.name, + backendMode: "NPU (OpenVINO)", + backendBinary: "openvino_npu_worker.py", + device: currentSettings.backendDevice, + }; + + const workerPath = path.join(ROOT, "scripts", "openvino_npu_worker.py"); + const cacheDir = path.join(ROOT, "app", "tools", "openvino-cache", "512x512"); + console.log(` [openvino-npu] Starting 512x512 worker on port ${openvinoPort}`); + openvinoProc = spawn(npuInfo.python, [ + workerPath, + "--model-dir", model.path, + "--port", String(openvinoPort), + "--width", "512", + "--height", "512", + "--cache-dir", cacheDir, + ], { stdio: "pipe" }); + + let openvinoStdoutBuffer = ""; + openvinoProc.stdout.on("data", (data) => { + const text = data.toString(); + process.stdout.write(" " + text); + openvinoStdoutBuffer += text; + const lines = openvinoStdoutBuffer.split(/\r?\n/); + openvinoStdoutBuffer = lines.pop() || ""; + for (const line of lines) { + if (line.includes("READY")) { + openvinoReady = true; + backendReady = true; + backendLoadState = { ...backendLoadState, active: false, phase: "OpenVINO NPU model ready", progress: 100 }; + } + const progressMatch = line.match(/PROGRESS\s+(\d+)\/(\d+)\s+(.+)$/); + if (progressMatch) { + generationState.active = true; + generationState.step = Number(progressMatch[1]); + generationState.steps = Number(progressMatch[2]); + generationState.speed = progressMatch[3].trim(); + generationState.decoding = false; + } else if (line.includes("DECODING") && generationState.active) { + generationState.step = generationState.steps; + generationState.decoding = true; + generationState.speed = ""; + } + } + }); + openvinoProc.stderr.on("data", (data) => { + const text = data.toString(); + process.stderr.write(" " + text); + const cleanText = stripAnsi(text).trim(); + if (cleanText && (cleanText.includes("ERROR") || cleanText.includes("Traceback") || cleanText.includes("Exception"))) { + openvinoError = cleanText; + backendError = openvinoError; + } + }); + openvinoProc.on("exit", (code) => { + console.log(" [openvino-npu] worker exited with code", code); + openvinoProc = null; + openvinoReady = false; + backendReady = false; + if (code !== 0 && code !== null && !backendError) backendError = `OpenVINO NPU worker exited with code ${code}`; + backendLoadState.active = false; + }); + + const startedAt = Date.now(); + while (Date.now() - startedAt < 360000) { + if (openvinoReady) return; + if (backendError) throw new Error(backendError); + if (!openvinoProc) throw new Error("OpenVINO NPU worker exited during startup."); + const elapsed = Math.round((Date.now() - startedAt) / 1000); + backendLoadState.progress = Math.min(95, 5 + Math.round(elapsed / 2)); + await new Promise((resolve) => setTimeout(resolve, 1000)); + } + await killOpenVinoWorker(); + throw new Error("OpenVINO NPU 512x512 compile timed out after 6 minutes."); +} + +async function generateWithOpenVino(body) { + if (!openvinoReady || !openvinoPort) throw new Error("OpenVINO NPU worker is not ready. Load an OpenVINO NPU model first."); + const steps = Math.max(1, Math.min(8, Number(body.steps) || 4)); + generationState = { active: true, step: 0, steps, speed: "", decoding: false }; + try { + const result = await requestJson(`http://127.0.0.1:${openvinoPort}/generate`, { + prompt: body.prompt, + negative_prompt: body.negative_prompt || "", + width: Number(body.width) || currentSettings.width || 512, + height: Number(body.height) || currentSettings.height || 512, + steps, + cfg_scale: Number(body.cfg_scale) || 1.0, + seed: body.seed, + }, 300000); + resetGenerationState(); + return result; + } catch (err) { + resetGenerationState(); + throw err; + } +} + function startBackendReadyPoll() { let attempts = 0; const interval = setInterval(async () => { @@ -839,6 +1170,11 @@ function killBackend() { } async function startBackend(settings = {}) { + if (settings.backendType === "openvino-npu") { + await startOpenVinoWorker(settings); + return; + } + await killOpenVinoWorker(); backendError = null; currentSettings = { ...currentSettings, ...settings }; if (!currentSettings.model) currentSettings.model = getDefaultModel(); @@ -1118,6 +1454,54 @@ let downloadState = { }; let activeDownload = null; +function startOpenVinoModelDownload(modelId) { + if (downloadState.active) return; + const npuInfo = getOpenVinoNpuInfo(); + if (!npuInfo.supported) throw new Error(npuInfo.reason || "OpenVINO NPU runtime is not available."); + const model = OPENVINO_NPU_MODELS.find((item) => item.id === modelId); + if (!model) throw new Error("Unknown OpenVINO model."); + + const destDir = path.join(OPENVINO_MODELS, model.folder); + fs.mkdirSync(destDir, { recursive: true }); + downloadState = { + active: true, + filename: model.name, + progress: -1, + speed: "Downloading snapshot", + eta: 0, + totalBytes: 0, + downloadedBytes: 0, + error: null, + }; + + const script = [ + "from huggingface_hub import snapshot_download", + `snapshot_download(repo_id=${JSON.stringify(model.repo)}, local_dir=${JSON.stringify(destDir)}, ignore_patterns=['safety_checker/*','feature_extractor/*','*.safetensors'])`, + "print('DONE')", + ].join("\n"); + console.log(` [openvino-download] Downloading ${model.repo} -> ${destDir}`); + const proc = spawn(npuInfo.python, ["-c", script], { stdio: "pipe" }); + activeDownload = { process: proc, destPath: destDir, openvino: true }; + proc.stdout.on("data", (data) => process.stdout.write(" [openvino-download] " + data.toString())); + proc.stderr.on("data", (data) => process.stderr.write(" [openvino-download] " + data.toString())); + proc.on("exit", (code) => { + activeDownload = null; + if (String(downloadState.error || "").toLowerCase().includes("cancelled")) { + return; + } + downloadState.active = false; + if (code === 0) { + downloadState.progress = 100; + downloadState.downloadedBytes = getPathSize(destDir); + downloadState.totalBytes = downloadState.downloadedBytes; + downloadState.speed = "Complete"; + cachedBackendOptions = null; + } else { + downloadState.error = `OpenVINO model download failed with code ${code}`; + } + }); +} + // ── Generation State (Real-time progress parser) ───────────────────────────── let generationState = { active: false, @@ -1342,9 +1726,14 @@ function cancelModelDownload() { } const filename = downloadState.filename; if (activeDownload) { - try { activeDownload.request.destroy(new Error("Download cancelled by user")); } catch (_) {} - try { activeDownload.fileStream.destroy(); } catch (_) {} - try { fs.unlinkSync(activeDownload.tempPath || activeDownload.destPath); } catch (_) {} + if (activeDownload.process) { + try { activeDownload.process.kill("SIGTERM"); } catch (_) {} + setTimeout(() => { try { activeDownload?.process?.kill("SIGKILL"); } catch (_) {} }, 1000); + } else { + try { activeDownload.request.destroy(new Error("Download cancelled by user")); } catch (_) {} + try { activeDownload.fileStream.destroy(); } catch (_) {} + try { fs.unlinkSync(activeDownload.tempPath || activeDownload.destPath); } catch (_) {} + } } else if (filename) { try { fs.unlinkSync(`${path.join(MODELS, filename)}.part`); } catch (_) {} } @@ -1514,9 +1903,9 @@ function safeOutputName(value) { } function saveGeneratedOutput(imageDataUrl, metadata = {}) { - const match = String(imageDataUrl || "").match(/^data:(image\/(?:png|jpeg|jpg|webp|svg\+xml));base64,(.+)$/); + const match = String(imageDataUrl || "").match(/^data:(image\/(?:png|jpeg|jpg|webp));base64,(.+)$/); if (!match) { - throw new Error("Expected a base64 image data URL"); + throw new Error("Expected a real base64 PNG, JPEG, or WebP image data URL"); } const mime = match[1]; @@ -1525,9 +1914,26 @@ function saveGeneratedOutput(imageDataUrl, metadata = {}) { "image/jpeg": ".jpg", "image/jpg": ".jpg", "image/webp": ".webp", - "image/svg+xml": ".svg", }; const ext = extByMime[mime] || ".png"; + const imageBuffer = Buffer.from(match[2], "base64"); + const isPng = imageBuffer.length > 8 && + imageBuffer[0] === 0x89 && + imageBuffer[1] === 0x50 && + imageBuffer[2] === 0x4e && + imageBuffer[3] === 0x47; + const isJpeg = imageBuffer.length > 3 && + imageBuffer[0] === 0xff && + imageBuffer[1] === 0xd8 && + imageBuffer[2] === 0xff; + const isWebp = imageBuffer.length > 12 && + imageBuffer.toString("ascii", 0, 4) === "RIFF" && + imageBuffer.toString("ascii", 8, 12) === "WEBP"; + if ((mime === "image/png" && !isPng) || + ((mime === "image/jpeg" || mime === "image/jpg") && !isJpeg) || + (mime === "image/webp" && !isWebp)) { + throw new Error("Generated image payload did not match its declared image format."); + } const createdAt = new Date().toISOString(); const stamp = createdAt.replace(/[:.]/g, "-"); const seed = metadata.seed !== undefined && metadata.seed !== null ? `-${safeOutputName(metadata.seed)}` : ""; @@ -1537,7 +1943,7 @@ function saveGeneratedOutput(imageDataUrl, metadata = {}) { const imagePath = path.join(OUTPUTS, imageFilename); const metadataPath = path.join(OUTPUTS, metadataFilename); - fs.writeFileSync(imagePath, Buffer.from(match[2], "base64")); + fs.writeFileSync(imagePath, imageBuffer); const savedMetadata = { ...metadata, createdAt, @@ -1703,9 +2109,9 @@ const server = http.createServer(async (req, res) => { // GET /api/backend-status if (req.url === "/api/backend-status" && req.method === "GET") { - return json(res, 200, { - ready: backendReady, - running: backendProc !== null, + return json(res, 200, { + ready: backendReady || openvinoReady, + running: backendProc !== null || openvinoProc !== null, port: PORT_BACKEND, preferredPort: PREFERRED_BACKEND_PORT, error: backendError, @@ -1742,6 +2148,17 @@ const server = http.createServer(async (req, res) => { } catch (_) { return json(res, 200, { models: [] }); } } + if (req.url === "/api/openvino-models" && req.method === "GET") { + const npuInfo = getOpenVinoNpuInfo(); + return json(res, 200, { + supported: npuInfo.supported, + reason: npuInfo.reason || "", + npu: npuInfo.npu || null, + python: npuInfo.python || "", + models: npuInfo.supported ? getOpenVinoModelInfo() : [], + }); + } + // POST /api/restart-backend — restart with new settings if (req.url === "/api/restart-backend" && req.method === "POST") { const body = await readJsonBody(req, res); @@ -1750,11 +2167,13 @@ const server = http.createServer(async (req, res) => { await killBackend(); await new Promise(r => setTimeout(r, 500)); const newSettings = {}; - if (body.model) newSettings.model = path.join(MODELS, body.model); + if (body.model) newSettings.model = body.backend_type === "openvino-npu" ? String(body.model) : path.join(MODELS, body.model); if (body.steps) newSettings.steps = parseInt(body.steps); if (body.cfgScale) newSettings.cfgScale = parseFloat(body.cfgScale); if (body.sampler) newSettings.sampler = body.sampler; if (body.threads) newSettings.threads = parseInt(body.threads); + if (body.width) newSettings.width = parseInt(body.width); + if (body.height) newSettings.height = parseInt(body.height); if (typeof body.use_gpu === "boolean") newSettings.useGpu = body.use_gpu; if (body.backend_type) { newSettings.backendType = String(body.backend_type); @@ -1763,6 +2182,18 @@ const server = http.createServer(async (req, res) => { if (typeof body.vae_tiling === "boolean") newSettings.vaeTiling = body.vae_tiling; if (typeof body.vae_on_cpu === "boolean") newSettings.vaeOnCpu = body.vae_on_cpu; try { + if (newSettings.backendType === "openvino-npu") { + startBackend(newSettings).catch((err) => { + backendError = err.message || String(err); + backendLoadState = { + ...backendLoadState, + active: false, + phase: "OpenVINO NPU model load failed", + }; + console.error(" [openvino-npu] Startup failed:", backendError); + }); + return json(res, 200, { ok: true, message: "OpenVINO NPU backend starting...", settings: currentSettings, port: PORT_BACKEND }); + } await startBackend(newSettings); return json(res, 200, { ok: true, message: "Backend restarting...", settings: currentSettings, port: PORT_BACKEND }); } catch (err) { @@ -1774,6 +2205,7 @@ const server = http.createServer(async (req, res) => { // POST /api/stop-backend if (req.url === "/api/stop-backend" && req.method === "POST") { await killBackend(); + await killOpenVinoWorker(); return json(res, 200, { ok: true }); } @@ -1788,6 +2220,19 @@ const server = http.createServer(async (req, res) => { return json(res, 200, { ok: true, message: "Download started" }); } + if (req.url === "/api/download-openvino-model" && req.method === "POST") { + const body = await readJsonBody(req, res); + if (!body) return; + const modelId = String(body.model_id || body.modelId || ""); + if (!modelId) return json(res, 400, { ok: false, error: "model_id is required" }); + try { + startOpenVinoModelDownload(modelId); + return json(res, 200, { ok: true, message: "OpenVINO model download started" }); + } catch (err) { + return json(res, 500, { ok: false, error: err.message || String(err) }); + } + } + // GET /api/download-progress if (req.url === "/api/download-progress" && req.method === "GET") { return json(res, 200, downloadState); @@ -1804,6 +2249,16 @@ const server = http.createServer(async (req, res) => { return json(res, 200, generationState); } + if (req.url === "/api/openvino-generate" && req.method === "POST") { + const body = await readJsonBody(req, res); + if (!body) return; + try { + return json(res, 200, await generateWithOpenVino(body)); + } catch (err) { + return json(res, 500, { ok: false, error: err.message || String(err) }); + } + } + // GET /api/outputs if (req.url === "/api/outputs" && req.method === "GET") { return json(res, 200, { outputs: listGeneratedOutputs() }); @@ -1871,11 +2326,17 @@ const server = http.createServer(async (req, res) => { const { filename } = body; if (!filename) return json(res, 400, { error: "Filename is required" }); + const openvinoModel = findOpenVinoModel(filename); const safeFilename = path.basename(filename); const modelPath = path.join(MODELS, safeFilename); try { - if (fs.existsSync(modelPath)) { + if (openvinoModel?.installed && openvinoModel.path && pathInside(openvinoModel.path, OPENVINO_MODELS)) { + fs.rmSync(openvinoModel.path, { recursive: true, force: true }); + cachedBackendOptions = null; + console.log(` [api] Deleted OpenVINO model: ${openvinoModel.id}`); + return json(res, 200, { ok: true, message: `Deleted ${openvinoModel.name}` }); + } else if (fs.existsSync(modelPath)) { fs.unlinkSync(modelPath); console.log(` [api] Deleted model file: ${safeFilename}`); return json(res, 200, { ok: true, message: `Deleted ${safeFilename}` }); diff --git a/scripts/setup-openvino-npu.ps1 b/scripts/setup-openvino-npu.ps1 new file mode 100644 index 0000000..da5f70e --- /dev/null +++ b/scripts/setup-openvino-npu.ps1 @@ -0,0 +1,46 @@ +# Optional OpenVINO NPU setup for Intel AI Boost systems. +# This does not modify the existing stable-diffusion.cpp backends. + +$ErrorActionPreference = "Stop" + +$scriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path +$rootDir = Split-Path -Parent $scriptDir +$venvDir = Join-Path $rootDir "app\tools\openvino-venv" +$pythonExe = Join-Path $venvDir "Scripts\python.exe" + +Write-Host "" +Write-Host " ============================================================" +Write-Host " Local AI Image Generator - OpenVINO NPU Setup" +Write-Host " ============================================================" +Write-Host "" + +$npu = Get-CimInstance Win32_PnPEntity -ErrorAction SilentlyContinue | + Where-Object { $_.Name -like "*Intel(R) AI Boost*" -or ($_.Name -match "NPU" -and $_.PNPClass -eq "ComputeAccelerator") } | + Select-Object -First 1 + +if (-not $npu) { + Write-Host " [ERROR] Intel AI Boost NPU was not detected on this system." -ForegroundColor Red + exit 1 +} + +Write-Host " Detected: $($npu.Name)" + +if (-not (Test-Path $pythonExe)) { + Write-Host " Creating Python environment: $venvDir" + python -m venv $venvDir +} + +Write-Host " Installing OpenVINO GenAI runtime..." +& $pythonExe -m pip install --upgrade pip +& $pythonExe -m pip install openvino openvino-genai pillow huggingface-hub + +Write-Host "" +Write-Host " Verifying OpenVINO NPU device..." +& $pythonExe -c "import openvino as ov; core=ov.Core(); print('Available devices:', core.available_devices); raise SystemExit(0 if 'NPU' in core.available_devices else 2)" + +Write-Host "" +Write-Host " ============================================================" +Write-Host " OpenVINO NPU setup complete." +Write-Host " Restart windows.bat, then download an OpenVINO NPU model." +Write-Host " ============================================================" +Write-Host "" diff --git a/scripts/setup-openvino-npu.sh b/scripts/setup-openvino-npu.sh new file mode 100644 index 0000000..fc74d9d --- /dev/null +++ b/scripts/setup-openvino-npu.sh @@ -0,0 +1,85 @@ +#!/usr/bin/env bash +# +# Optional OpenVINO NPU setup for Linux Intel Core Ultra systems. +# The Intel NPU kernel/user-mode driver must already be installed. + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +ROOT_DIR="$(dirname "$SCRIPT_DIR")" +VENV_DIR="$ROOT_DIR/app/tools/openvino-venv" +PYTHON_BIN="$VENV_DIR/bin/python" + +echo "" +echo " ============================================================" +echo " Local AI Image Generator - Linux OpenVINO NPU Setup" +echo " ============================================================" +echo "" + +if [[ "$(uname -s)" != "Linux" ]]; then + echo " [ERROR] This setup script is for Linux only." >&2 + exit 1 +fi + +if [[ "$(uname -m)" != "x86_64" ]]; then + echo " [ERROR] OpenVINO NPU support requires x86_64 Linux." >&2 + exit 1 +fi + +if ! command -v python3 >/dev/null 2>&1; then + echo " [ERROR] python3 is required. Install Python 3 and the venv module." >&2 + exit 1 +fi + +KERNEL_VERSION="$(uname -r)" +KERNEL_MAJOR="${KERNEL_VERSION%%.*}" +KERNEL_REST="${KERNEL_VERSION#*.}" +KERNEL_MINOR="${KERNEL_REST%%.*}" +if (( KERNEL_MAJOR < 6 || (KERNEL_MAJOR == 6 && KERNEL_MINOR < 6) )); then + echo " [ERROR] Intel NPU support requires Linux kernel 6.6 or newer." + echo " Current kernel: $KERNEL_VERSION" + exit 1 +fi + +if [[ ! -e /dev/accel/accel0 ]]; then + echo " [ERROR] Intel NPU device /dev/accel/accel0 was not found." + echo " Install the Intel Linux NPU driver and reboot first." + echo " Driver: https://github.com/intel/linux-npu-driver" + exit 1 +fi + +if [[ ! -x "$PYTHON_BIN" ]]; then + echo " Creating Python environment: $VENV_DIR" + if ! python3 -m venv "$VENV_DIR"; then + echo " [ERROR] Could not create the virtual environment." + echo " On Ubuntu, install python3-venv and retry." + exit 1 + fi +fi + +echo " Installing OpenVINO GenAI runtime..." +"$PYTHON_BIN" -m pip install --upgrade pip +"$PYTHON_BIN" -m pip install openvino openvino-genai pillow huggingface-hub + +echo "" +echo " Verifying OpenVINO NPU device..." +"$PYTHON_BIN" - <<'PY' +import openvino as ov + +core = ov.Core() +devices = core.available_devices +print(" Available devices:", ", ".join(devices)) +if "NPU" not in devices: + raise SystemExit( + " [ERROR] OpenVINO is installed, but NPU is unavailable. " + "Verify the Intel NPU driver and device permissions." + ) +print(" NPU:", core.get_property("NPU", "FULL_DEVICE_NAME")) +PY + +echo "" +echo " ============================================================" +echo " OpenVINO NPU setup complete." +echo " Run ./linux.sh, then download an OpenVINO NPU model." +echo " ============================================================" +echo "" diff --git a/scripts/setup.ps1 b/scripts/setup.ps1 index cfa6836..feabd06 100644 --- a/scripts/setup.ps1 +++ b/scripts/setup.ps1 @@ -47,6 +47,18 @@ function Format-Speed { return "{0:N0} KB/s" -f ($bps / 1KB) } +function Enable-Tls12 { + try { + # Use the protocol's numeric value because older .NET enum definitions + # do not expose the Tls12 member even when Windows supports TLS 1.2. + $tls12 = [Enum]::ToObject([Net.SecurityProtocolType], 3072) + [Net.ServicePointManager]::SecurityProtocol = + [Net.ServicePointManager]::SecurityProtocol -bor $tls12 + } catch { + throw "TLS 1.2 could not be enabled. This setup requires 64-bit Windows 10 or Windows 11 with current system updates. $($_.Exception.Message)" + } +} + function Invoke-RichDownload { param([string]$Url, [string]$Dest, [string]$Label) Print-Info "Downloading: $Label" @@ -57,7 +69,7 @@ function Invoke-RichDownload { $lastTime = [DateTime]::Now try { - [Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12 + Enable-Tls12 $req = [System.Net.HttpWebRequest]::Create($Url) $req.UserAgent = "Mozilla/5.0" $resp = $req.GetResponse() From 0beaeab414a74f2a9c003740dbd4c8d569c23d1d Mon Sep 17 00:00:00 2001 From: techjarves Date: Sat, 13 Jun 2026 15:45:16 +0530 Subject: [PATCH 10/69] fix: resolve OpenVINO NPU and GPU backend switching/loading transition issues --- app/frontend/src/components/Generator.jsx | 2 +- .../src/components/ImageConstraints.jsx | 11 +++++------ app/frontend/src/components/ModelManager.jsx | 6 ++++-- .../openvino_npu_worker.cpython-313.pyc | Bin 12022 -> 12022 bytes 4 files changed, 10 insertions(+), 9 deletions(-) diff --git a/app/frontend/src/components/Generator.jsx b/app/frontend/src/components/Generator.jsx index 8fc9048..c1b2811 100644 --- a/app/frontend/src/components/Generator.jsx +++ b/app/frontend/src/components/Generator.jsx @@ -139,7 +139,7 @@ function Generator({ crashError = status.error; break; } - if (!status.running && i > 3) { + if (!status.running && !status.loading?.active && i > 3) { crashError = "The backend process terminated immediately on startup."; break; } diff --git a/app/frontend/src/components/ImageConstraints.jsx b/app/frontend/src/components/ImageConstraints.jsx index 5f23b0d..ecb9ce9 100644 --- a/app/frontend/src/components/ImageConstraints.jsx +++ b/app/frontend/src/components/ImageConstraints.jsx @@ -86,18 +86,17 @@ function ImageConstraints({ const currentBackend = constraints.backendType || "cpu"; if (backendType === currentBackend) return; - const isGpuBackend = (type) => !["cpu", "openvino-npu"].includes(type); const switchesAccelerator = - (currentBackend === "openvino-npu" && isGpuBackend(backendType)) || - (isGpuBackend(currentBackend) && backendType === "openvino-npu"); + (currentBackend === "openvino-npu" && backendType !== "openvino-npu") || + (currentBackend !== "openvino-npu" && backendType === "openvino-npu"); if (serverRunning && switchesAccelerator) { const leavingNpu = currentBackend === "openvino-npu"; const confirmed = await showConfirm({ - title: leavingNpu ? "Unload NPU Model?" : "Unload GPU Model?", + title: leavingNpu ? "Unload NPU Model?" : "Unload Model?", message: leavingNpu - ? "The OpenVINO NPU model must be unloaded before switching to the GPU backend." - : "The GPU model must be unloaded before switching to the OpenVINO NPU backend.", + ? "The OpenVINO NPU model must be unloaded before switching to the standard backend." + : "The active model must be unloaded before switching to the OpenVINO NPU backend.", confirmLabel: "Unload", cancelLabel: "Cancel", danger: true, diff --git a/app/frontend/src/components/ModelManager.jsx b/app/frontend/src/components/ModelManager.jsx index bb78cc1..179de5b 100644 --- a/app/frontend/src/components/ModelManager.jsx +++ b/app/frontend/src/components/ModelManager.jsx @@ -332,7 +332,9 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun let isReady = false; let crashError = null; - for (let i = 0; i < 240; i++) { // Poll for up to 120 seconds (240 * 500ms) + const isOpenVinoModel = modelInfo?.backendType === "openvino-npu"; + const maxStartupPolls = isOpenVinoModel ? 1200 : 240; + for (let i = 0; i < maxStartupPolls; i++) { const status = await getBackendStatus(); if (status.loading) { setModelLoadProgress({ @@ -355,7 +357,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun crashError = status.error; break; } - if (!status.running && i > 3) { + if (!status.running && !status.loading?.active && i > 3) { crashError = "The backend process terminated immediately on startup."; break; } diff --git a/scripts/__pycache__/openvino_npu_worker.cpython-313.pyc b/scripts/__pycache__/openvino_npu_worker.cpython-313.pyc index 4ca397fd11e61ed30690c4a1619fbd5210c8cf94..0d8ccd3e0d2d901e1c5bfbc4d9864deb539f07cc 100644 GIT binary patch delta 22 ccmews`z@CDGcPX}0}$xz=w_vCl*b%7 From 35b5aa9da9dd2671bdcc10164d6a62ef7bdd2e42 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sat, 13 Jun 2026 15:57:30 +0530 Subject: [PATCH 11/69] perf: cache getOpenVinoNpuInfo() results to avoid slow synchronous hardware probes on every models list request --- scripts/serve.cjs | 22 ++++++++++++++++------ 1 file changed, 16 insertions(+), 6 deletions(-) diff --git a/scripts/serve.cjs b/scripts/serve.cjs index 6b74f06..9915f9c 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -413,19 +413,25 @@ function getOpenVinoPython() { return null; } +let cachedOpenVinoNpuInfo = null; + function getOpenVinoNpuInfo() { + if (cachedOpenVinoNpuInfo) return cachedOpenVinoNpuInfo; + if (osPlatform !== "win32" && osPlatform !== "linux") { - return { supported: false, reason: "OpenVINO NPU backend is supported on Windows and Linux Intel Core Ultra systems." }; + cachedOpenVinoNpuInfo = { supported: false, reason: "OpenVINO NPU backend is supported on Windows and Linux Intel Core Ultra systems." }; + return cachedOpenVinoNpuInfo; } const python = getOpenVinoPython(); if (!python) { const setupScript = osPlatform === "win32" ? "scripts/setup-openvino-npu.ps1" : "bash scripts/setup-openvino-npu.sh"; - return { + cachedOpenVinoNpuInfo = { supported: false, reason: `OpenVINO GenAI runtime is not installed. Run ${setupScript} first.`, }; + return cachedOpenVinoNpuInfo; } try { const script = [ @@ -439,15 +445,19 @@ function getOpenVinoNpuInfo() { ].join("\n"); const result = spawnSync(python, ["-c", script], { encoding: "utf8", timeout: 15000, stdio: ["ignore", "pipe", "pipe"] }); if (result.status !== 0) { - return { supported: false, python, reason: result.stderr.trim() || "OpenVINO NPU probe failed." }; + cachedOpenVinoNpuInfo = { supported: false, python, reason: result.stderr.trim() || "OpenVINO NPU probe failed." }; + return cachedOpenVinoNpuInfo; } const info = JSON.parse(result.stdout.trim()); if (!info.devices.includes("NPU")) { - return { supported: false, python, reason: `OpenVINO is installed, but NPU is not available. Devices: ${info.devices.join(", ")}` }; + cachedOpenVinoNpuInfo = { supported: false, python, reason: `OpenVINO is installed, but NPU is not available. Devices: ${info.devices.join(", ")}` }; + return cachedOpenVinoNpuInfo; } - return { supported: true, platform: osPlatform, python, devices: info.devices, npu: info.npu }; + cachedOpenVinoNpuInfo = { supported: true, platform: osPlatform, python, devices: info.devices, npu: info.npu }; + return cachedOpenVinoNpuInfo; } catch (err) { - return { supported: false, python, reason: err.message || String(err) }; + cachedOpenVinoNpuInfo = { supported: false, python, reason: err.message || String(err) }; + return cachedOpenVinoNpuInfo; } } From 7d83de23f4f0f727c52dfd3f10829e308c986126 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sat, 13 Jun 2026 16:29:04 +0530 Subject: [PATCH 12/69] feat: add ModelManager component for local model discovery, downloading, and backend status tracking --- app/frontend/src/components/ModelManager.jsx | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/app/frontend/src/components/ModelManager.jsx b/app/frontend/src/components/ModelManager.jsx index 179de5b..6b858fd 100644 --- a/app/frontend/src/components/ModelManager.jsx +++ b/app/frontend/src/components/ModelManager.jsx @@ -81,6 +81,7 @@ const OPENVINO_MODEL_LIBRARY = [ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message) }) { const [localModels, setLocalModels] = useState([]); + const [isLoadingModels, setIsLoadingModels] = useState(true); const [downloadingModelId, setDownloadingModelId] = useState(null); const [downloadProgress, setDownloadProgress] = useState(0); const [downloadSpeed, setDownloadSpeed] = useState(""); @@ -171,11 +172,14 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun }; const fetchModels = async () => { + setIsLoadingModels(true); try { const list = await listLocalModels(); setLocalModels(list.map(normalizeModel).filter((model) => model.filename)); } catch (e) { console.error(e); + } finally { + setIsLoadingModels(false); } }; @@ -628,7 +632,12 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun Local Models ({localModels.length}) - {localModels.length === 0 ? ( + {isLoadingModels ? ( +
+ + Scanning models folder... +
+ ) : localModels.length === 0 ? (

No models detected in app/models/. Download from the library below or import a file.

From 6cf13a52d6aa9620dad25dc5cd52bbb34c2cef95 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sun, 14 Jun 2026 06:54:51 +0530 Subject: [PATCH 13/69] feat: introduce server process manager and OpenVINO NPU setup scripts for cross-platform model hosting --- scripts/serve.cjs | 34 +++++++++++++++++++++++++++++++--- scripts/setup-openvino-npu.ps1 | 2 +- scripts/setup-openvino-npu.sh | 2 +- 3 files changed, 33 insertions(+), 5 deletions(-) diff --git a/scripts/serve.cjs b/scripts/serve.cjs index 9915f9c..5c9b341 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -389,11 +389,13 @@ function getOpenVinoPythonCandidates() { const candidates = []; if (process.env.OPENVINO_PYTHON) candidates.push(process.env.OPENVINO_PYTHON); if (osPlatform === "win32") { - candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "Scripts", "python.exe")); + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv-win", "Scripts", "python.exe")); + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "Scripts", "python.exe")); // legacy fallback candidates.push("C:\\tmp\\npu-test-venv\\Scripts\\python.exe"); candidates.push("python"); } else { - candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "bin", "python")); + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv-linux", "bin", "python")); + candidates.push(path.join(ROOT, "app", "tools", "openvino-venv", "bin", "python")); // legacy fallback candidates.push("python3"); candidates.push("python"); } @@ -713,6 +715,32 @@ function hasAmdGpu() { return info.includes("amd") || info.includes("advanced micro devices") || info.includes("radeon"); } +// Detect whether we are running inside WSL2 (Windows Subsystem for Linux). +// WSL2's GPU paravirtualization (GPU-PV) only exposes a D3D12/DirectX interface +// to Linux. Vulkan hardware passthrough is only supported for NVIDIA (via CUDA). +// Intel Arc and AMD GPUs in WSL2 fall back to llvmpipe (CPU software rendering). +function isRunningInWSL() { + if (osPlatform !== "linux") return false; + try { + const procVersion = fs.readFileSync("/proc/version", "utf8").toLowerCase(); + return procVersion.includes("microsoft") || procVersion.includes("wsl"); + } catch (_) { + return false; + } +} + +function getVulkanUnavailableReason() { + if (osPlatform === "linux" && isRunningInWSL()) { + const gpuName = getGpuInfo().name; + const lowerGpu = gpuName.toLowerCase(); + if (lowerGpu.includes("intel") || lowerGpu.includes("arc")) { + return `Vulkan GPU is not available in WSL2 for Intel ${gpuName}. WSL2's GPU paravirtualization only exposes a DirectX interface — Intel Arc Vulkan requires running natively on Windows.`; + } + return "Vulkan GPU is not available in WSL2. WSL2's GPU paravirtualization does not support hardware Vulkan for this GPU. Run natively on Windows or Linux for GPU acceleration."; + } + return "Installed, but this binary did not register a Vulkan backend on this machine."; +} + function getBackendOptions() { if (cachedBackendOptions) return cachedBackendOptions; @@ -749,7 +777,7 @@ function getBackendOptions() { const unavailable = []; if (vulkanInstalled && !vulkanAvailable) { - unavailable.push({ id: "vulkan", label: "Vulkan GPU", reason: "Installed, but this binary did not register a Vulkan backend on this machine." }); + unavailable.push({ id: "vulkan", label: "Vulkan GPU", reason: getVulkanUnavailableReason() }); } if (cudaInstalled && !cudaAvailable) { unavailable.push({ id: "cuda", label: "CUDA GPU", reason: "Installed, but CUDA backend validation failed." }); diff --git a/scripts/setup-openvino-npu.ps1 b/scripts/setup-openvino-npu.ps1 index da5f70e..2fafae4 100644 --- a/scripts/setup-openvino-npu.ps1 +++ b/scripts/setup-openvino-npu.ps1 @@ -5,7 +5,7 @@ $ErrorActionPreference = "Stop" $scriptDir = Split-Path -Parent $MyInvocation.MyCommand.Path $rootDir = Split-Path -Parent $scriptDir -$venvDir = Join-Path $rootDir "app\tools\openvino-venv" +$venvDir = Join-Path $rootDir "app\tools\openvino-venv-win" $pythonExe = Join-Path $venvDir "Scripts\python.exe" Write-Host "" diff --git a/scripts/setup-openvino-npu.sh b/scripts/setup-openvino-npu.sh index fc74d9d..36629a9 100644 --- a/scripts/setup-openvino-npu.sh +++ b/scripts/setup-openvino-npu.sh @@ -7,7 +7,7 @@ set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" ROOT_DIR="$(dirname "$SCRIPT_DIR")" -VENV_DIR="$ROOT_DIR/app/tools/openvino-venv" +VENV_DIR="$ROOT_DIR/app/tools/openvino-venv-linux" PYTHON_BIN="$VENV_DIR/bin/python" echo "" From 7e3dbae1e90feeb1d53225d399cff319a9f956c8 Mon Sep 17 00:00:00 2001 From: orailnoor Date: Sun, 14 Jun 2026 08:35:04 +0530 Subject: [PATCH 14/69] feat: add Apple NPU coreml support and flash attention --- app/frontend/src/services/api.js | 1 + scripts/serve.cjs | 152 ++++++++++++++++++++++++------- 2 files changed, 119 insertions(+), 34 deletions(-) diff --git a/app/frontend/src/services/api.js b/app/frontend/src/services/api.js index 035982b..3d64b1c 100644 --- a/app/frontend/src/services/api.js +++ b/app/frontend/src/services/api.js @@ -256,6 +256,7 @@ export async function startServer(modelPath, constraints) { backend_type: constraints.backendType || (constraints.useGpu === false ? "cpu" : "auto"), vae_tiling: constraints.vaeTiling !== false, vae_on_cpu: constraints.vaeOnCpu === true, + flash_attn: constraints.useFlashAttn !== false, }), }); const text = await res.text(); diff --git a/scripts/serve.cjs b/scripts/serve.cjs index 43600bf..bb484de 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -103,6 +103,7 @@ let currentSettings = { backendType: "auto", vaeTiling: true, vaeOnCpu: false, + flashAttn: true, }; let lastCpuSample = null; @@ -278,6 +279,38 @@ function getNvidiaVram() { return cachedVramInfo; } +let cachedMacRamUsedGb = null; +function pollMacRam() { + if (osPlatform !== "darwin") return; + exec("vm_stat", (err, stdout) => { + if (err) return; + try { + const vmStat = stdout.toString(); + const pageSizeMatch = vmStat.match(/page size of (\d+) bytes/); + const pageSize = pageSizeMatch ? parseInt(pageSizeMatch[1], 10) : 4096; + + const getVal = (key) => { + const match = vmStat.match(new RegExp(key + ":\\s+(\\d+)\\.")); + return match ? parseInt(match[1], 10) : 0; + }; + + const freePages = getVal("Pages free"); + const inactivePages = getVal("Pages inactive"); + const speculativePages = getVal("Pages speculative"); + + const totalFreeBytes = (freePages + inactivePages + speculativePages) * pageSize; + cachedMacRamUsedGb = roundGb(os.totalmem() - totalFreeBytes); + } catch (e) { + // Ignore parsing errors + } + }); +} + +if (osPlatform === "darwin") { + pollMacRam(); + setInterval(pollMacRam, 5000); +} + function getHardwareSpecs() { const cpus = os.cpus(); const gpu = getGpuInfo(); @@ -293,9 +326,13 @@ function getHardwareSpecs() { function getTelemetry() { const vram = getNvidiaVram(); + let ram_used_gb = roundGb(os.totalmem() - os.freemem()); + if (osPlatform === "darwin" && cachedMacRamUsedGb !== null) { + ram_used_gb = cachedMacRamUsedGb; + } return { cpu_usage: getCpuUsagePercent(), - ram_used_gb: roundGb(os.totalmem() - os.freemem()), + ram_used_gb, ram_total_gb: roundGb(os.totalmem()), gpu_name: vram?.gpu_name || getGpuInfo().name, vram_used_gb: vram?.vram_used_gb || 0, @@ -604,13 +641,12 @@ function getBackendOptions() { const rocmAvailable = rocmInstalled && hasAmdGpu() && backendAccepts(BACKEND_PATHS.linuxRocm, "rocm"); const cpuInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCpu); const metalInstalled = osPlatform === "darwin" && fs.existsSync(BACKEND_PATHS.mac); - // Darwin release binaries are Metal builds. Treat an installed macOS backend - // as Metal-capable so the UI does not default to CPU if a probe flag changes - // upstream. const metalAvailable = metalInstalled; + const coremlAvailable = osPlatform === "darwin" && fs.existsSync("/Users/orailnoor/workspace/coreml_conversion/venv/bin/python"); const options = [{ id: "cpu", label: "CPU", available: true }]; if (metalAvailable) options.push({ id: "metal", label: "Metal GPU", available: true }); + if (coremlAvailable) options.push({ id: "apple-npu", label: "Apple Neural Engine (NPU)", available: true }); if (vulkanAvailable) options.push({ id: "vulkan", label: "Vulkan GPU", available: true }); if (rocmAvailable) options.push({ id: "rocm", label: "ROCm GPU (AMD)", available: true }); if (cudaAvailable) options.push({ id: "cuda", label: "CUDA GPU", available: true }); @@ -630,7 +666,9 @@ function getBackendOptions() { } let defaultBackend = "cpu"; - if (metalAvailable) { + if (coremlAvailable) { + defaultBackend = "apple-npu"; + } else if (metalAvailable) { defaultBackend = "metal"; } else if (cudaAvailable) { const gpuName = String(getGpuInfo().name).toLowerCase(); @@ -661,13 +699,19 @@ function getBackendOptions() { function backendAccepts(binaryPath, backendName) { if (!binaryPath || !fs.existsSync(binaryPath)) return false; try { - const cliBackendName = backendName === "metal" ? "metal0" : backendName; - const probeArgs = [ + const cliBackendName = backendName; + let probeArgs = [ "--backend", cliBackendName, "--params-backend", cliBackendName, "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), "--listen-port", "18082", ]; + if (cliBackendName === "metal") { + probeArgs = [ + "--model", path.join(MODELS, "__backend_probe_missing__.safetensors"), + "--listen-port", "18082", + ]; + } const spawnEnv = { ...process.env }; if (osPlatform === "linux") { const dir = path.dirname(binaryPath); @@ -707,8 +751,8 @@ function backendAccepts(binaryPath, backendName) { } } -function selectBackendPath(useGpu, backendType = "auto") { - const resolvedType = resolveBackendType(useGpu, backendType); +function selectBackendPath(useGpu, backendType = "auto", modelPath = "") { + const resolvedType = resolveBackendType(useGpu, backendType, modelPath); if (osPlatform === "win32") { if (resolvedType === "cuda" && fs.existsSync(BACKEND_PATHS.cuda)) return BACKEND_PATHS.cuda; if (fs.existsSync(BACKEND_PATHS.vulkan)) return BACKEND_PATHS.vulkan; @@ -730,6 +774,7 @@ function selectBackendPath(useGpu, backendType = "auto") { return BACKEND_PATH; } if (osPlatform === "darwin") { + if (resolvedType === "apple-npu") return "/Users/orailnoor/workspace/coreml_conversion/venv/bin/python"; if (fs.existsSync(BACKEND_PATHS.mac)) return BACKEND_PATHS.mac; return BACKEND_PATH; } @@ -738,9 +783,19 @@ function selectBackendPath(useGpu, backendType = "auto") { return BACKEND_PATH; } -function resolveBackendType(useGpu, backendType = "auto") { +function resolveBackendType(useGpu, backendType = "auto", modelPath = "") { const options = getBackendOptions(); - const requestedType = useGpu === false ? "cpu" : backendType === "auto" ? options.defaultBackendType : backendType; + let requestedType = useGpu === false ? "cpu" : backendType === "auto" ? options.defaultBackendType : backendType; + + if (modelPath && osPlatform === "darwin") { + const lower = modelPath.toLowerCase(); + if (lower.endsWith(".safetensors") || lower.endsWith(".gguf")) { + if (requestedType === "apple-npu") requestedType = "metal"; + } else if (lower.endsWith(".coreml") || lower.endsWith(".mlpackage") || lower.endsWith(".mlmodelc")) { + if (requestedType === "metal") requestedType = "apple-npu"; + } + } + const available = new Set(options.options.map(option => option.id)); return available.has(requestedType) ? requestedType : options.defaultBackendType; } @@ -751,6 +806,7 @@ function getBackendMode(backendPath, useGpu, backendType = "auto") { if (name.includes("cuda")) return "CUDA GPU"; if (name.includes("rocm")) return "ROCm GPU"; if (name.includes("vulkan")) return "Vulkan GPU"; + if (backendType === "apple-npu") return "Apple NPU"; if (osPlatform === "darwin" || backendType === "metal") return "Metal GPU"; return "GPU"; } @@ -860,10 +916,10 @@ async function startBackend(settings = {}) { PORT_BACKEND = await findAvailableBackendPort(); - const resolvedBackendType = resolveBackendType(currentSettings.useGpu, currentSettings.backendType); + const resolvedBackendType = resolveBackendType(currentSettings.useGpu, currentSettings.backendType, currentSettings.model); currentSettings.backendType = resolvedBackendType; currentSettings.useGpu = resolvedBackendType !== "cpu"; - const backendPath = selectBackendPath(currentSettings.useGpu, currentSettings.backendType); + const backendPath = selectBackendPath(currentSettings.useGpu, currentSettings.backendType, currentSettings.model); const backendMode = getBackendMode(backendPath, currentSettings.useGpu, currentSettings.backendType); currentSettings.backendMode = backendMode; currentSettings.backendBinary = path.basename(backendPath); @@ -886,17 +942,28 @@ async function startBackend(settings = {}) { runThreads = Math.min(4, runThreads); } - const args = [ - "--listen-port", String(PORT_BACKEND), - "--model", currentSettings.model, - "--steps", String(currentSettings.steps), - "--cfg-scale", String(currentSettings.cfgScale), - "--sampling-method", currentSettings.sampler, - "--threads", String(runThreads), - ]; + let args = []; + const requestedBackend = resolveBackendType(currentSettings.useGpu, currentSettings.backendType, currentSettings.model); - const requestedBackend = resolveBackendType(currentSettings.useGpu, currentSettings.backendType); - if (requestedBackend === "cpu") { + if (requestedBackend === "apple-npu") { + args = [ + path.join(ROOT, "app", "backend", "mac", "coreml_server.py"), + "--listen-port", String(PORT_BACKEND), + "--model", currentSettings.model, + "--steps", String(currentSettings.steps), + "--cfg-scale", String(currentSettings.cfgScale), + ]; + } else { + args = [ + "--listen-port", String(PORT_BACKEND), + "--model", currentSettings.model, + "--steps", String(currentSettings.steps), + "--cfg-scale", String(currentSettings.cfgScale), + "--sampling-method", currentSettings.sampler, + "--threads", String(runThreads), + ]; + + if (requestedBackend === "cpu") { args.push( "--backend", "cpu", "--params-backend", "cpu", @@ -927,18 +994,23 @@ async function startBackend(settings = {}) { ); } else if (requestedBackend === "metal") { args.push( - "--backend", "metal0", - "--params-backend", "metal0", "--rng", "cpu", "--sampler-rng", "cpu", ); } - if (currentSettings.vaeTiling) { - args.push("--vae-tiling"); } - if (currentSettings.vaeOnCpu) { - args.push("--vae-on-cpu"); + + if (requestedBackend !== "apple-npu") { + if (currentSettings.vaeTiling) { + args.push("--vae-tiling"); + } + if (currentSettings.vaeOnCpu) { + args.push("--vae-on-cpu"); + } + if (currentSettings.flashAttn) { + args.push("--fa"); + } } // Build environment for Linux backends so bundled .so libraries are found. @@ -959,7 +1031,7 @@ async function startBackend(settings = {}) { const existing = spawnEnv.LD_LIBRARY_PATH || ""; spawnEnv.LD_LIBRARY_PATH = extraLibs.join(":") + (existing ? ":" + existing : ""); } - } else if (osPlatform === "darwin") { + } else if (osPlatform === "darwin" && requestedBackend !== "apple-npu") { const existing = spawnEnv.DYLD_LIBRARY_PATH || ""; const backendDir = path.dirname(BACKEND_PATHS.mac); spawnEnv.DYLD_LIBRARY_PATH = backendDir + (existing ? ":" + existing : ""); @@ -1319,6 +1391,17 @@ function startModelDownload(url, overrideFilename = null) { } try { fs.unlinkSync(destPath); } catch (_) {} fs.renameSync(tempPath, destPath); + + if (destPath.toLowerCase().endsWith(".zip")) { + try { + const { execSync } = require("child_process"); + execSync(`unzip -o "${destPath}" -d "${path.dirname(destPath)}"`, { stdio: "ignore" }); + fs.unlinkSync(destPath); + } catch(err) { + console.error("Failed to unzip", err); + } + } + downloadState.active = false; downloadFinalized = true; downloadState.progress = 100; @@ -1377,7 +1460,7 @@ const MIME = { function isModelFile(filename) { const lower = String(filename || "").toLowerCase(); - return lower.endsWith(".safetensors") || lower.endsWith(".gguf") || lower.endsWith(".ckpt"); + return lower.endsWith(".safetensors") || lower.endsWith(".gguf") || lower.endsWith(".ckpt") || lower.endsWith(".coreml") || lower.endsWith(".coreml.zip"); } function formatBytes(bytes) { @@ -1396,9 +1479,9 @@ function getModelLoadIssue(modelPath) { return `Model file not found: ${filename || "unknown model"}`; } - const stats = fs.statSync(modelPath); - if (stats.size < 128 * 1024 * 1024) { - return `${filename} is too small to be a complete image model (${formatBytes(stats.size)}). Delete it and download/import it again.`; + const size = getPathSize(modelPath); + if (size < 128 * 1024 * 1024) { + return `${filename} is too small to be a complete image model (${formatBytes(size)}). Delete it and download/import it again.`; } if (ext === ".gguf") { @@ -1765,6 +1848,7 @@ const server = http.createServer(async (req, res) => { } if (typeof body.vae_tiling === "boolean") newSettings.vaeTiling = body.vae_tiling; if (typeof body.vae_on_cpu === "boolean") newSettings.vaeOnCpu = body.vae_on_cpu; + if (typeof body.flash_attn === "boolean") newSettings.flashAttn = body.flash_attn; try { await startBackend(newSettings); return json(res, 200, { ok: true, message: "Backend restarting...", settings: currentSettings, port: PORT_BACKEND }); From 74b0c3ba46c24d5cf5ada1a8cd2a4dc6b97c2b99 Mon Sep 17 00:00:00 2001 From: orailnoor Date: Sun, 14 Jun 2026 09:56:16 +0530 Subject: [PATCH 15/69] add CoreML NPU support for Apple Silicon, include Flash Attention toggle, and improve process management for startup scripts. --- app/frontend/src/App.jsx | 120 +++++------- app/frontend/src/components/Generator.jsx | 119 ++++++------ .../src/components/ImageConstraints.jsx | 41 +++- app/frontend/src/components/ModelManager.jsx | 102 ++++++++-- linux.sh | 14 +- mac.sh | 14 +- scripts/serve.cjs | 176 ++++++++++++++++-- scripts/setup-coreml-npu.sh | 66 +++++++ scripts/setup.sh | 23 +++ windows.bat | 8 +- 10 files changed, 515 insertions(+), 168 deletions(-) create mode 100755 scripts/setup-coreml-npu.sh diff --git a/app/frontend/src/App.jsx b/app/frontend/src/App.jsx index 5063f1f..28dcbc8 100644 --- a/app/frontend/src/App.jsx +++ b/app/frontend/src/App.jsx @@ -340,75 +340,7 @@ function App() { } }, [activeModel]); - const activeTabContent = useMemo(() => { - switch (activeTab) { - case "generator": - return ( - - ); - case "models": - return ( - - ); - case "constraints": - return ( - - ); - default: - return null; - } - }, [ - activeTab, - prompt, - negativePrompt, - constraints, - activeModel, - generatedImages, - isGenerating, - generationProgress, - serverRunning, - specs, - backendOptions, - showAlert, - showConfirm, - ]); + // Tab contents are kept mounted to preserve loading/generation state when switching tabs const sidebarContent = useMemo(() => ( + +
+ +
+ +
+ +
+ +
{dialog && ( diff --git a/app/frontend/src/components/Generator.jsx b/app/frontend/src/components/Generator.jsx index c1b2811..c257aa3 100644 --- a/app/frontend/src/components/Generator.jsx +++ b/app/frontend/src/components/Generator.jsx @@ -60,6 +60,12 @@ function Generator({ const abortControllerRef = useRef(null); const hasRealGenerationStepRef = useRef(false); + React.useEffect(() => { + if (constraints.backendType === "apple-npu" || constraints.backendType === "openvino-npu") { + setBaseImage(null); + } + }, [constraints.backendType]); + const handleBaseImageSelect = (e) => { const file = e.target.files?.[0]; e.target.value = ""; @@ -114,10 +120,9 @@ function Generator({ try { console.log("Settings out of sync, restarting backend..."); await startServer(activeModel, constraints); - - let isReady = false; + let isReady = false; let crashError = null; - const maxStartupPolls = constraints.backendType === "openvino-npu" ? 1200 : 240; + const maxStartupPolls = (constraints.backendType === "openvino-npu" || constraints.backendType === "apple-npu") ? 1200 : 240; for (let i = 0; i < maxStartupPolls; i++) { const status = await getBackendStatus(); if (status.loading) { @@ -610,61 +615,63 @@ function Generator({ />
-
- - {baseImage ? ( -
- Base -
-
Base image ready
-
- The AI will redraw this image guided by your prompt. + {constraints.backendType !== "apple-npu" && constraints.backendType !== "openvino-npu" && ( +
+ + {baseImage ? ( +
+ Base +
+
Base image ready
+
+ The AI will redraw this image guided by your prompt. +
+
+ +
+ ) : ( + + )} + + {baseImage && ( +
+
+ Transformation strength + {constraints.denoisingStrength.toFixed(2)} +
+ setConstraints((prev) => ({ ...prev, denoisingStrength: parseFloat(e.target.value) }))} + disabled={isGenerating} + style={{ width: "100%" }} + /> +
+ Lower = closer to your image; higher = more creative freedom. 0.7 is a good start.
- -
- ) : ( - - )} - - {baseImage && ( -
-
- Transformation strength - {constraints.denoisingStrength.toFixed(2)} -
- setConstraints((prev) => ({ ...prev, denoisingStrength: parseFloat(e.target.value) }))} - disabled={isGenerating} - style={{ width: "100%" }} - /> -
- Lower = closer to your image; higher = more creative freedom. 0.7 is a good start. -
-
- )} -
+ )} +
+ )} {/* Configuration Status Chips (Material 3 style) */}
diff --git a/app/frontend/src/components/ImageConstraints.jsx b/app/frontend/src/components/ImageConstraints.jsx index ecb9ce9..d0eb106 100644 --- a/app/frontend/src/components/ImageConstraints.jsx +++ b/app/frontend/src/components/ImageConstraints.jsx @@ -36,6 +36,8 @@ function ImageConstraints({ const availableBackends = backendOptions?.options?.length ? backendOptions.options : [{ id: "cpu", label: "CPU", available: true }]; + const isMac = availableBackends.some(b => b.id === "metal" || b.id === "apple-npu") || + (specs?.os_name && (specs.os_name.toLowerCase().includes("darwin") || specs.os_name.toLowerCase().includes("mac"))); useEffect(() => { if (isOpenVinoNpu && constraints.steps > 8) { @@ -185,7 +187,7 @@ function ImageConstraints({ }}>
- Low-VRAM Protection Active: Capped at 512x512 for the loaded SD 1.x model ({activeModel}). Generating at larger sizes (like 1024x1024) is disabled to prevent out-of-memory crashes on your {specs && specs.gpu_name && !specs.gpu_name.includes("Loading") ? specs.gpu_name : "graphics processor"}. + Graphics Memory Protection Active: Locked at 512x512 size for this model ({activeModel}). Creating larger images (like 1024x1024) is disabled to prevent your {specs && specs.gpu_name && !specs.gpu_name.includes("Loading") ? specs.gpu_name : "graphics processor"} from running out of memory and crashing.
)} @@ -357,9 +359,13 @@ function ImageConstraints({
))}
- - CPU is slow but safest. Vulkan works on supported GPUs. CUDA is shown only when NVIDIA CUDA support is available. - + + {isMac ? ( + "CPU is slow but safest. Metal uses your Mac's graphics card. Apple Neural Engine (NPU) is highly power-efficient and fast." + ) : ( + "CPU is slow but safest. Vulkan works on supported GPUs. CUDA is shown only when NVIDIA CUDA support is available." + )} + {constraints.backendType === "cuda" && specs?.gpu_name && String(specs.gpu_name).toLowerCase().includes("gtx") && (
- +
@@ -426,7 +432,28 @@ function ImageConstraints({
Run VAE on CPU
- Offloads the heavy VAE decoder computation from GPU VRAM to system memory (RAM). Saves ~2GB of VRAM, but makes the final decoding stage slightly slower. + Performs the final image rendering step using your computer's main memory (RAM) instead of graphics memory. Saves graphics memory, but makes the final stage of creating the image slightly slower. +
+
+ + + diff --git a/app/frontend/src/components/ModelManager.jsx b/app/frontend/src/components/ModelManager.jsx index 6b858fd..ac7b506 100644 --- a/app/frontend/src/components/ModelManager.jsx +++ b/app/frontend/src/components/ModelManager.jsx @@ -27,7 +27,7 @@ const MODEL_LIBRARY = [ ], }, { - group: "SD 1.5 - Ultra Fast / Low VRAM", + group: "SD 1.5 - Ultra Fast / Low Memory", items: [ { name: "DreamShaper 8", @@ -79,7 +79,24 @@ const OPENVINO_MODEL_LIBRARY = [ }, ]; -function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message) }) { +const COREML_MODEL_LIBRARY = [ + { + group: "Apple Silicon NPU - CoreML Test", + items: [ + { + name: "Stable Diffusion v1.5 CoreML (split_einsum, palettized 6-bit)", + filename: "coreml-stable-diffusion-v1-5-palettized_split_einsum_v2_compiled", + format: "CoreML", + approxSize: "2.0 GB", + resolution: "512x512", + notes: "Apple Silicon ANE (Neural Engine) optimized 6-bit palettized Stable Diffusion 1.5 model. Unzips automatically on download completion and runs extremely fast on Mac NPUs.", + url: "https://huggingface.co/apple/coreml-stable-diffusion-v1-5-palettized/resolve/main/coreml-stable-diffusion-v1-5-palettized_split_einsum_v2_compiled.zip", + }, + ], + }, +]; + +function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message), activeTab }) { const [localModels, setLocalModels] = useState([]); const [isLoadingModels, setIsLoadingModels] = useState(true); const [downloadingModelId, setDownloadingModelId] = useState(null); @@ -96,12 +113,42 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun const [pendingLoadModel, setPendingLoadModel] = useState(null); const [backendInfo, setBackendInfo] = useState({ backendMode: "", backendBinary: "", backendDevice: "" }); + const cancelLoadRef = React.useRef(false); + const handleCancelLoad = async () => { + cancelLoadRef.current = true; + try { + await stopServer(); + } catch (err) { + console.warn("Failed to stop server on cancel:", err); + } + }; + const modelNames = localModels.map((model) => normalizeModel(model).filename); const isBusy = loadingModelId !== null || isUnloading; + const openvinoSupported = Boolean(backendOptions?.openvinoNpu?.supported); - const visibleModelLibrary = openvinoSupported ? [...MODEL_LIBRARY, ...OPENVINO_MODEL_LIBRARY] : MODEL_LIBRARY; + const appleNpuSupported = Boolean( + backendOptions?.options?.some((opt) => opt.id === "apple-npu") || + backendOptions?.unavailable?.some((opt) => opt.id === "apple-npu") + ); + + let visibleModelLibrary = [...MODEL_LIBRARY]; + if (openvinoSupported) { + visibleModelLibrary = [...visibleModelLibrary, ...OPENVINO_MODEL_LIBRARY]; + } + if (appleNpuSupported) { + visibleModelLibrary = [...visibleModelLibrary, ...COREML_MODEL_LIBRARY]; + } + const getLocalModelInfo = (modelId) => localModels.map(normalizeModel).find((model) => model.filename === modelId); + useEffect(() => { + if (activeTab === "models") { + fetchModels(); + checkActiveDownload(); + } + }, [activeTab]); + useEffect(() => { fetchModels(); checkActiveDownload(); @@ -258,6 +305,10 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun } return; } + if (model.format === "CoreML") { + downloadByUrl(model.url, `${model.filename}.zip`); + return; + } downloadByUrl(model.url, model.filename); }; @@ -306,6 +357,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun return; } + cancelLoadRef.current = false; setLoadingModelId(modelId); setModelLoadProgress({ progress: 0, @@ -320,7 +372,18 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun }); try { const modelInfo = getLocalModelInfo(modelId); - const loadConstraints = modelInfo?.backendType === "openvino-npu" + const isCoreMLModel = modelInfo?.format === "CoreML" || modelInfo?.backendType === "apple-npu"; + const loadConstraints = isCoreMLModel + ? { + ...constraints, + backendType: "apple-npu", + useGpu: true, + width: 512, + height: 512, + steps: constraints.steps || 20, + cfgScale: constraints.cfgScale || 7, + } + : modelInfo?.backendType === "openvino-npu" ? { ...constraints, backendType: "openvino-npu", @@ -337,8 +400,12 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun let isReady = false; let crashError = null; const isOpenVinoModel = modelInfo?.backendType === "openvino-npu"; - const maxStartupPolls = isOpenVinoModel ? 1200 : 240; + const maxStartupPolls = (isOpenVinoModel || isCoreMLModel) ? 1200 : 240; for (let i = 0; i < maxStartupPolls; i++) { + if (cancelLoadRef.current) { + crashError = "Model load cancelled by the user."; + break; + } const status = await getBackendStatus(); if (status.loading) { setModelLoadProgress({ @@ -385,7 +452,9 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun } } catch (e) { console.error("Failed to load model:", e); - showAlert({ title: "Model Load Failed", message: e.message || String(e), danger: true }); + if (e.message !== "Model load cancelled by the user.") { + showAlert({ title: "Model Load Failed", message: e.message || String(e), danger: true }); + } } finally { setTimeout(() => setModelLoadProgress(null), 800); setLoadingModelId(null); @@ -580,9 +649,18 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun {modelLoadProgress && (
-

- Loading Model: {modelLoadProgress.model || loadingModelId} -

+
+

+ Loading Model: {modelLoadProgress.model || loadingModelId} +

+ +
{(modelLoadProgress.backendMode || modelLoadProgress.backendBinary || modelLoadProgress.device) && (
{modelLoadProgress.backendMode && ( @@ -611,7 +689,9 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun {modelLoadProgress.total > 0 - ? `Loaded ${modelLoadProgress.current} / ${modelLoadProgress.total} tensors` + ? modelLoadProgress.total <= 10 + ? `Loading components: ${modelLoadProgress.current} / ${modelLoadProgress.total} (${Math.round(modelLoadProgress.progress)}%)` + : `Loaded ${modelLoadProgress.current} / ${modelLoadProgress.total} tensors` : `${Math.round(modelLoadProgress.progress)}%`}
@@ -723,7 +803,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
{section.items.map((model) => { const installed = modelNames.includes(model.filename); - const downloading = downloadingModelId === model.filename; + const downloading = downloadingModelId === model.filename || downloadingModelId === `${model.filename}.zip`; return (
diff --git a/linux.sh b/linux.sh index f7ee797..baae599 100755 --- a/linux.sh +++ b/linux.sh @@ -102,9 +102,12 @@ if [[ -n "$SETUP_REASON" ]]; then echo "" read -rp " Press Enter to continue, or Ctrl+C to cancel." - # Clear any existing frontend server process - if command -v fuser >/dev/null 2>&1; then + # Clear any existing frontend and backend server processes + if command -v lsof >/dev/null 2>&1; then + lsof -t -i:"${FRONTEND_PORT}" -i:8080 | xargs kill -9 >/dev/null 2>&1 || true + elif command -v fuser >/dev/null 2>&1; then fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fuser -k "8080/tcp" >/dev/null 2>&1 || true fi if ! bash "$SETUP_SCRIPT" $MAX_PERF_FLAG; then @@ -123,9 +126,12 @@ echo " LOCAL AI IMAGE GENERATOR | Launching..." echo " ============================================================" echo "" -# Clear frontend port -if command -v fuser >/dev/null 2>&1; then +# Clear frontend and backend ports +if command -v lsof >/dev/null 2>&1; then + lsof -t -i:"${FRONTEND_PORT}" -i:8080 | xargs kill -9 >/dev/null 2>&1 || true +elif command -v fuser >/dev/null 2>&1; then fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fuser -k "8080/tcp" >/dev/null 2>&1 || true fi # Start the server diff --git a/mac.sh b/mac.sh index 594de33..aa603c0 100755 --- a/mac.sh +++ b/mac.sh @@ -74,9 +74,12 @@ if [[ -n "$SETUP_REASON" ]]; then echo "" read -rp " Press Enter to continue, or Ctrl+C to cancel." - # Clear any existing frontend server process - if command -v fuser >/dev/null 2>&1; then + # Clear any existing frontend and backend server processes + if command -v lsof >/dev/null 2>&1; then + lsof -t -i:"${FRONTEND_PORT}" -i:8080 | xargs kill -9 >/dev/null 2>&1 || true + elif command -v fuser >/dev/null 2>&1; then fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fuser -k "8080/tcp" >/dev/null 2>&1 || true fi if ! bash "$SETUP_SCRIPT"; then @@ -95,9 +98,12 @@ echo " LOCAL AI IMAGE GENERATOR | Launching..." echo " ============================================================" echo "" -# Clear frontend port -if command -v fuser >/dev/null 2>&1; then +# Clear frontend and backend ports +if command -v lsof >/dev/null 2>&1; then + lsof -t -i:"${FRONTEND_PORT}" -i:8080 | xargs kill -9 >/dev/null 2>&1 || true +elif command -v fuser >/dev/null 2>&1; then fuser -k "${FRONTEND_PORT}/tcp" >/dev/null 2>&1 || true + fuser -k "8080/tcp" >/dev/null 2>&1 || true fi # Start the server diff --git a/scripts/serve.cjs b/scripts/serve.cjs index 40e0b52..da7f0f1 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -778,6 +778,103 @@ function getVulkanUnavailableReason() { return "Installed, but this binary did not register a Vulkan backend on this machine."; } +let cachedCoreMLPythonPath = null; +let cachedCoreMLAvailable = null; + +function getCoreMLPythonPath() { + if (cachedCoreMLAvailable !== null) { + return cachedCoreMLPythonPath; + } + + if (osPlatform !== "darwin") { + cachedCoreMLAvailable = false; + cachedCoreMLPythonPath = null; + return null; + } + + // 1. Check environment variable COREML_PYTHON + if (process.env.COREML_PYTHON && fs.existsSync(process.env.COREML_PYTHON)) { + cachedCoreMLPythonPath = process.env.COREML_PYTHON; + cachedCoreMLAvailable = true; + return cachedCoreMLPythonPath; + } + + // 2. Check local/in-project venvs + const localPaths = [ + path.join(ROOT, "app", "backend", "mac", "coreml_venv", "bin", "python"), + path.join(ROOT, "app", "backend", "mac", "venv", "bin", "python"), + path.join(ROOT, "venv", "bin", "python"), + ]; + + for (const p of localPaths) { + if (fs.existsSync(p)) { + cachedCoreMLPythonPath = p; + cachedCoreMLAvailable = true; + return p; + } + } + + // 3. Check dynamically in home directory (as fallback to user's setup) + const homeDir = os.homedir(); + const homePaths = [ + path.join(homeDir, "workspace", "coreml_conversion", "venv", "bin", "python"), + path.join(homeDir, "ml-stable-diffusion", "venv", "bin", "python"), + ]; + + for (const p of homePaths) { + if (fs.existsSync(p)) { + cachedCoreMLPythonPath = p; + cachedCoreMLAvailable = true; + return p; + } + } + + // 4. Fallback: Probe system python3 if it has required imports + try { + const probeResult = spawnSync("python3", [ + "-c", + "import python_coreml_stable_diffusion, diffusers, transformers" + ], { timeout: 2000 }); + + if (probeResult.status === 0) { + // Find absolute path of python3 + const whichResult = spawnSync("which", ["python3"], { encoding: "utf8" }); + const python3Path = whichResult.stdout ? whichResult.stdout.trim() : "python3"; + cachedCoreMLPythonPath = python3Path; + cachedCoreMLAvailable = true; + return python3Path; + } + } catch (err) { + // python3 not in path or crashed + } + + cachedCoreMLAvailable = false; + cachedCoreMLPythonPath = null; + return null; +} + +function getCoreMLNpuInfo() { + const isAppleSilicon = osPlatform === "darwin" && os.arch() === "arm64"; + if (!isAppleSilicon) { + return { supported: false, reason: "Apple Silicon ANE (NPU) is only available on Apple Silicon macOS devices." }; + } + + const pythonPath = getCoreMLPythonPath(); + if (!pythonPath) { + return { + supported: true, + ready: false, + reason: "CoreML Python environment is not set up. Run scripts/setup-coreml-npu.sh first.", + }; + } + + return { + supported: true, + ready: true, + python: pythonPath, + }; +} + function getBackendOptions() { if (cachedBackendOptions) return cachedBackendOptions; @@ -798,14 +895,14 @@ function getBackendOptions() { const cpuInstalled = osPlatform === "linux" && fs.existsSync(BACKEND_PATHS.linuxCpu); const metalInstalled = osPlatform === "darwin" && fs.existsSync(BACKEND_PATHS.mac); const metalAvailable = metalInstalled; - const coremlAvailable = osPlatform === "darwin" && fs.existsSync("/Users/orailnoor/workspace/coreml_conversion/venv/bin/python"); + const coremlNpu = getCoreMLNpuInfo(); const openvinoNpu = getOpenVinoNpuInfo(); const openvinoModels = getOpenVinoModelInfo(); const openvinoNpuAvailable = openvinoNpu.supported && openvinoModels.some((model) => model.installed); const options = [{ id: "cpu", label: "CPU", available: true }]; if (metalAvailable) options.push({ id: "metal", label: "Metal GPU", available: true }); - if (coremlAvailable) options.push({ id: "apple-npu", label: "Apple Neural Engine (NPU)", available: true }); + if (coremlNpu.supported && coremlNpu.ready) options.push({ id: "apple-npu", label: "Apple Neural Engine (NPU)", available: true }); if (vulkanAvailable) options.push({ id: "vulkan", label: "Vulkan GPU", available: true }); if (rocmAvailable) options.push({ id: "rocm", label: "ROCm GPU (AMD)", available: true }); if (cudaAvailable) options.push({ id: "cuda", label: "CUDA GPU", available: true }); @@ -824,6 +921,9 @@ function getBackendOptions() { if (metalInstalled && !metalAvailable) { unavailable.push({ id: "metal", label: "Metal GPU", reason: "Installed, but Metal backend validation failed." }); } + if (coremlNpu.supported && !coremlNpu.ready) { + unavailable.push({ id: "apple-npu", label: "Apple Neural Engine (NPU)", reason: coremlNpu.reason }); + } if (openvinoNpu.supported && !openvinoNpuAvailable) { unavailable.push({ id: "openvino-npu", label: "NPU (OpenVINO)", reason: "Runtime is ready, but no OpenVINO NPU model is downloaded." }); } else if (!openvinoNpu.supported && (osPlatform === "win32" || osPlatform === "linux")) { @@ -831,7 +931,7 @@ function getBackendOptions() { } let defaultBackend = "cpu"; - if (coremlAvailable) { + if (coremlNpu.supported && coremlNpu.ready) { defaultBackend = "apple-npu"; } else if (metalAvailable) { defaultBackend = "metal"; @@ -859,6 +959,7 @@ function getBackendOptions() { openvinoNpuAvailable, openvinoNpu, openvinoModels, + coremlNpu, defaultBackendType: defaultBackend, }; return cachedBackendOptions; @@ -948,7 +1049,7 @@ function selectBackendPath(useGpu, backendType = "auto", modelPath = "") { return BACKEND_PATH; } if (osPlatform === "darwin") { - if (resolvedType === "apple-npu") return "/Users/orailnoor/workspace/coreml_conversion/venv/bin/python"; + if (resolvedType === "apple-npu") return getCoreMLPythonPath(); if (fs.existsSync(BACKEND_PATHS.mac)) return BACKEND_PATHS.mac; return BACKEND_PATH; } @@ -963,9 +1064,10 @@ function resolveBackendType(useGpu, backendType = "auto", modelPath = "") { if (modelPath && osPlatform === "darwin") { const lower = modelPath.toLowerCase(); + const isDir = fs.existsSync(modelPath) && fs.statSync(modelPath).isDirectory(); if (lower.endsWith(".safetensors") || lower.endsWith(".gguf")) { if (requestedType === "apple-npu") requestedType = "metal"; - } else if (lower.endsWith(".coreml") || lower.endsWith(".mlpackage") || lower.endsWith(".mlmodelc")) { + } else if (lower.endsWith(".coreml") || lower.endsWith(".mlpackage") || lower.endsWith(".mlmodelc") || isDir) { if (requestedType === "metal") requestedType = "apple-npu"; } } @@ -1222,9 +1324,11 @@ async function generateWithOpenVino(body) { function startBackendReadyPoll() { let attempts = 0; + const isNpu = currentSettings.backendType === "apple-npu" || currentSettings.backendType === "openvino-npu"; + const maxAttempts = isNpu ? 1200 : 240; const interval = setInterval(async () => { attempts += 1; - if (!backendProc || backendReady || attempts > 240) { + if (!backendProc || backendReady || attempts > maxAttempts) { clearInterval(interval); return; } @@ -1367,9 +1471,6 @@ async function startBackend(settings = {}) { } args.push("--rng", "cpu", "--sampler-rng", "cpu"); } else if (requestedBackend === "metal") { - if (supportsFlags) { - args.push("--backend", "metal0", "--params-backend", "metal0"); - } args.push("--rng", "cpu", "--sampler-rng", "cpu"); } @@ -1451,14 +1552,17 @@ async function startBackend(settings = {}) { const current = parseInt(loadMatch[1], 10); const total = parseInt(loadMatch[2], 10); const progress = total > 0 ? Math.round((current / total) * 100) : 0; + const isCoreML = currentSettings.backendType === "apple-npu" || total <= 10; + const phaseDesc = isCoreML ? stripAnsi(loadMatch[3]).trim() : "Loading model weights..."; + const speedDesc = isCoreML ? "" : stripAnsi(loadMatch[3]).trim(); backendLoadState = { ...backendLoadState, active: !backendReady, - phase: "Loading model weights...", + phase: phaseDesc, progress: Math.max(backendLoadState.progress, Math.min(99, progress)), current, total, - speed: stripAnsi(loadMatch[3]).trim(), + speed: speedDesc, }; } @@ -1887,7 +1991,41 @@ const MIME = { function isModelFile(filename) { const lower = String(filename || "").toLowerCase(); - return lower.endsWith(".safetensors") || lower.endsWith(".gguf") || lower.endsWith(".ckpt") || lower.endsWith(".coreml") || lower.endsWith(".coreml.zip"); + if (lower.endsWith(".safetensors") || lower.endsWith(".gguf") || lower.endsWith(".ckpt") || lower.endsWith(".coreml") || lower.endsWith(".coreml.zip")) { + return true; + } + const fullPath = path.join(MODELS, filename); + try { + const stat = fs.statSync(fullPath); + if (stat.isDirectory()) { + const files = fs.readdirSync(fullPath).map(f => f.toLowerCase()); + const hasTextEncoder = files.includes("text_encoder.mlpackage") || + files.includes("text_encoder.mlmodelc") || + files.includes("textencoder.mlpackage") || + files.includes("textencoder.mlmodelc"); + + const hasUnet = files.includes("unet.mlpackage") || + files.includes("unet.mlmodelc"); + + if (hasTextEncoder && hasUnet) return true; + + const checkSubdirs = ["split_einsum/packages", "split_einsum/compiled", "original/packages", "original/compiled", "split_einsum", "original"]; + for (const subdir of checkSubdirs) { + const subPath = path.join(fullPath, subdir); + if (fs.existsSync(subPath)) { + const subFiles = fs.readdirSync(subPath).map(f => f.toLowerCase()); + const subTextEncoder = subFiles.includes("text_encoder.mlpackage") || + subFiles.includes("text_encoder.mlmodelc") || + subFiles.includes("textencoder.mlpackage") || + subFiles.includes("textencoder.mlmodelc"); + const subUnet = subFiles.includes("unet.mlpackage") || + subFiles.includes("unet.mlmodelc"); + if (subTextEncoder && subUnet) return true; + } + } + } + } catch (_) {} + return false; } function formatBytes(bytes) { @@ -1984,7 +2122,19 @@ function describeBackendExitCode(code, backendPath) { function getModelInfo(filename) { const safeFilename = path.basename(filename || ""); - const stats = fs.statSync(path.join(MODELS, safeFilename)); + const fullPath = path.join(MODELS, safeFilename); + const stats = fs.statSync(fullPath); + + if (stats.isDirectory()) { + const dirSize = getPathSize(fullPath); + return { + filename: safeFilename, + sizeBytes: dirSize, + size: formatBytes(dirSize), + format: "CoreML", + }; + } + return { filename: safeFilename, sizeBytes: stats.size, diff --git a/scripts/setup-coreml-npu.sh b/scripts/setup-coreml-npu.sh new file mode 100755 index 0000000..4a2b4c9 --- /dev/null +++ b/scripts/setup-coreml-npu.sh @@ -0,0 +1,66 @@ +#!/usr/bin/env bash +# +# Optional CoreML NPU setup for Apple Silicon macOS systems. +# Sets up a virtual environment and installs Apple's ml-stable-diffusion. +# + +set -euo pipefail + +SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +ROOT_DIR="$(dirname "$SCRIPT_DIR")" +VENV_DIR="$ROOT_DIR/app/backend/mac/coreml_venv" +PYTHON_BIN="$VENV_DIR/bin/python" + +echo "" +echo " ============================================================" +echo " Local AI Image Generator - Apple Silicon CoreML NPU Setup" +echo " ============================================================" +echo "" + +if [[ "$(uname -s)" != "Darwin" ]]; then + echo " [ERROR] This setup script is for macOS only." >&2 + exit 1 +fi + +if [[ "$(uname -m)" != "arm64" ]]; then + echo " [ERROR] CoreML NPU support requires Apple Silicon (M1/M2/M3/M4/etc. arm64)." >&2 + exit 1 +fi + +if ! command -v python3 >/dev/null 2>&1; then + echo " [ERROR] python3 is required. Install Python 3 first (via Homebrew or Xcode)." >&2 + exit 1 +fi + +if [[ ! -x "$PYTHON_BIN" ]]; then + echo " Creating Python environment: $VENV_DIR" + if ! python3 -m venv "$VENV_DIR"; then + echo " [ERROR] Could not create the virtual environment." + exit 1 + fi +fi + +echo " Installing CoreML Stable Diffusion dependencies (numpy, coremltools, diffusers)..." +"$PYTHON_BIN" -m pip install --upgrade pip +"$PYTHON_BIN" -m pip install numpy coremltools diffusers transformers huggingface-hub pillow + +echo " Installing Apple's python-coreml-stable-diffusion package..." +if ! "$PYTHON_BIN" -m pip install "git+https://github.com/apple/ml-stable-diffusion.git"; then + echo " [ERROR] Failed to install Apple's ml-stable-diffusion repository." + echo " Make sure 'git' is installed on your system." + exit 1 +fi + +echo "" +echo " Verifying CoreML environment..." +if ! "$PYTHON_BIN" -c "from python_coreml_stable_diffusion.pipeline import CoreMLStableDiffusionPipeline; print(' ANE (CoreML) Pipeline verified successfully!')"; then + echo " [ERROR] Verification failed. Please check the error details above." + exit 1 +fi + +echo "" +echo " ============================================================" +echo " CoreML NPU setup complete." +echo " Restart the launcher (./mac.sh) and download a CoreML model!" +echo " ============================================================" +echo "" diff --git a/scripts/setup.sh b/scripts/setup.sh index 0caff8a..eff71ba 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -285,6 +285,29 @@ if [[ "$PLATFORM" == "Darwin" ]]; then rm -rf "$BACKEND_DIR/extracted" print_ok "macOS Metal backend installed." fi + + # CoreML NPU Environment setup (macOS Apple Silicon only) + print_info "Setting up CoreML Python virtual environment for Apple Silicon ANE (NPU)..." + VENV_DIR="$BACKEND_DIR/coreml_venv" + PYTHON_BIN="$VENV_DIR/bin/python" + + if [[ ! -x "$PYTHON_BIN" ]]; then + print_info "Creating Python virtual environment at $VENV_DIR..." + if ! python3 -m venv "$VENV_DIR"; then + print_warn "Could not create the virtual environment for CoreML. CoreML NPU mode will be unavailable." + fi + fi + + if [[ -x "$PYTHON_BIN" ]]; then + print_info "Installing CoreML dependencies (this may take a couple of minutes)..." + if "$PYTHON_BIN" -m pip install --upgrade pip >/dev/null 2>&1 && \ + "$PYTHON_BIN" -m pip install numpy coremltools diffusers transformers huggingface-hub pillow >/dev/null 2>&1 && \ + "$PYTHON_BIN" -m pip install "git+https://github.com/apple/ml-stable-diffusion.git" >/dev/null 2>&1; then + print_ok "CoreML ANE (NPU) environment ready." + else + print_warn "CoreML dependencies installation failed. CoreML NPU mode will be unavailable." + fi + fi else VENDOR="$(detect_gpu_vendor)" print_step 2 $TOTAL_STEPS "Detecting GPU vendor: ${VENDOR:-none}" diff --git a/windows.bat b/windows.bat index 342bcad..341ea51 100644 --- a/windows.bat +++ b/windows.bat @@ -50,8 +50,9 @@ echo. echo Press any key to continue, or Ctrl+C to cancel. pause >nul -:: Clear old frontend server process before setup so app/tools/node-win can be replaced +:: Clear old frontend and backend server processes before setup so app/tools/node-win can be replaced for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":%FRONTEND_PORT% "') do taskkill /f /pid %%a >nul 2>nul +for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":8080 "') do taskkill /f /pid %%a >nul 2>nul powershell -ExecutionPolicy Bypass -File "%SETUP%" if errorlevel 1 ( @@ -73,9 +74,10 @@ echo LOCAL AI IMAGE GENERATOR ^| Launching... echo ============================================================ echo. -:: Clear only the frontend port. The backend auto-selects a free port. -echo Clearing frontend port %FRONTEND_PORT%... +:: Clear frontend and backend ports to prevent address conflicts. +echo Clearing frontend port %FRONTEND_PORT% and backend port 8080... for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":%FRONTEND_PORT% "') do taskkill /f /pid %%a >nul 2>nul +for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":8080 "') do taskkill /f /pid %%a >nul 2>nul :: Start frontend server + backend manager (serve.cjs manages sd-vulkan.exe) echo Starting Local AI Image Generator... From 54f48099900d98d00a0c2d53998962814acaddcf Mon Sep 17 00:00:00 2001 From: howwonder Date: Sun, 14 Jun 2026 12:00:32 +0530 Subject: [PATCH 16/69] implement VRAM usage warning, enable Linux CUDA backend support, and optimize flash attention flags. --- app/frontend/package-lock.json | 230 +++++++++---------- app/frontend/src/App.jsx | 2 + app/frontend/src/components/ModelManager.jsx | 108 +++++++-- scripts/build_from_source.sh | 2 +- scripts/serve.cjs | 6 +- scripts/setup.sh | 137 ++++++++++- 6 files changed, 343 insertions(+), 142 deletions(-) diff --git a/app/frontend/package-lock.json b/app/frontend/package-lock.json index 9e49789..09d23b4 100644 --- a/app/frontend/package-lock.json +++ b/app/frontend/package-lock.json @@ -802,9 +802,9 @@ "license": "MIT" }, "node_modules/@rollup/rollup-android-arm-eabi": { - "version": "4.61.1", - "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.61.1.tgz", - "integrity": "sha512-JnBB8MdXj45cajvTuO5FmPlvFVJRQgvrz1uSEl3NwqFnReAPGwb8EanbGi4z2nRaqLzjJSv5/JmycoTKlRZxHA==", + "version": "4.62.0", + "resolved": "https://registry.npmjs.org/@rollup/rollup-android-arm-eabi/-/rollup-android-arm-eabi-4.62.0.tgz", + "integrity": "sha512-IPIQ55ythEHkfEd9jMEi32OQ7SxURsGA43JI22lj01OLZNt2NUbJX8YUHxkVWyQ6daHPNn0truF5nSj3DQp6YQ==", "cpu": [ "arm" ], @@ -816,9 +816,9 @@ ] }, "node_modules/@rollup/rollup-android-arm64": { - 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"version": "2.10.34", - "resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.34.tgz", - "integrity": "sha512-IMDedajPifLnHNY0X9n8hKxRTQ6/eTHwr5bDo04WnuqxyKw6LYtQywCuuqPZwhl3aBXMvQpJov42GLCwRRdQzw==", + "version": "2.10.37", + "resolved": "https://registry.npmjs.org/baseline-browser-mapping/-/baseline-browser-mapping-2.10.37.tgz", + "integrity": "sha512-girxaJ7WZssDOFhzCGZTDKoTa1gk6A1TbflaYTpykLJ4UU9Fz9kx1aREM8JCuoVHbL8X8T/mJg7w2oYSq72Oig==", "dev": true, "license": "Apache-2.0", "bin": { @@ -1508,9 +1508,9 @@ } }, "node_modules/caniuse-lite": { - "version": "1.0.30001797", - "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001797.tgz", - "integrity": "sha512-l8xKG+gwAIExZGl9FrF7KUwuOmk6wbEPC9Xoy/RtnWv1XG0Q4LFlagaLpUv3Kiza3W/wm27zy0yWJEieYKAP6w==", + "version": "1.0.30001799", + "resolved": "https://registry.npmjs.org/caniuse-lite/-/caniuse-lite-1.0.30001799.tgz", + "integrity": "sha512-hG1bReV+OUU+MOqK4t/ZWI0tZOyz3rqS9XuhOUz1cIcbwBKjOyJEJuw9ER5JuNyqxNk8u/JUVbGibBOL1yrjFw==", "dev": true, "funding": [ { @@ -1554,9 +1554,9 @@ } }, "node_modules/electron-to-chromium": { - "version": "1.5.370", - "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.370.tgz", - "integrity": "sha512-D5tSHJReAb/Kf3Hu9F/GO4lJuSWzEWHwvQ/kKSUP7pimNgvxkSKj+gUQhHpKKACwrin7rS3byU7IxreF56rl5g==", + "version": "1.5.372", + "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.372.tgz", + "integrity": "sha512-M3yhbAlilnwqC8D21t28UCDGHyitShTmmLRU/H+b74P6Ski16Nb9HONYEaVpMj/pwC7BEo5B95FpjODLCWbtfA==", "dev": true, "license": "ISC" }, @@ -1699,9 +1699,9 @@ } }, "node_modules/lucide-react": { - "version": "1.17.0", - "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-1.17.0.tgz", - "integrity": "sha512-9FA9evdox/JQL5PT57fdA1x/yg8T7knJ98+zjTL3UfKza6pflQUUh3XtaQIHKvnsJw1lmsEyHVlt5jchYxOQ5w==", + "version": "1.18.0", + "resolved": "https://registry.npmjs.org/lucide-react/-/lucide-react-1.18.0.tgz", + "integrity": "sha512-LZDb7H/0YfM+RJncD0hDQRCAu+vSGODqpe35TuVI8EuXaRjkczbsx7p8dY4J87F/MUSj6bpYqeI8nw8qXaAdmA==", "license": "ISC", "peerDependencies": { "react": "^16.5.1 || ^17.0.0 || ^18.0.0 || ^19.0.0" @@ -1824,9 +1824,9 @@ } }, "node_modules/rollup": { - "version": "4.61.1", - "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.61.1.tgz", - "integrity": "sha512-I4KW6iuRpuu2uHBLraZ1wNZe0DP7lnRha+VJ9tNaYVaVgKhW0aI3h4RYnoRPeql0flHm/Co55b7snEDcOfOJrA==", + "version": "4.62.0", + "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.62.0.tgz", + "integrity": "sha512-nc72Wgq62I7rtDV4izT5/aaS0zxy3kttkinf9586ApknY3jZO9NYsmtc24fUckA0X7Q2v+ML4a15pdUlV5V/jA==", "dev": true, "license": "MIT", "dependencies": { @@ -1840,31 +1840,31 @@ "npm": ">=8.0.0" }, "optionalDependencies": { - "@rollup/rollup-android-arm-eabi": "4.61.1", - "@rollup/rollup-android-arm64": "4.61.1", - "@rollup/rollup-darwin-arm64": "4.61.1", - "@rollup/rollup-darwin-x64": "4.61.1", - "@rollup/rollup-freebsd-arm64": "4.61.1", - "@rollup/rollup-freebsd-x64": "4.61.1", - "@rollup/rollup-linux-arm-gnueabihf": "4.61.1", - "@rollup/rollup-linux-arm-musleabihf": "4.61.1", - "@rollup/rollup-linux-arm64-gnu": "4.61.1", - "@rollup/rollup-linux-arm64-musl": "4.61.1", - "@rollup/rollup-linux-loong64-gnu": "4.61.1", - "@rollup/rollup-linux-loong64-musl": "4.61.1", - "@rollup/rollup-linux-ppc64-gnu": "4.61.1", - "@rollup/rollup-linux-ppc64-musl": "4.61.1", - "@rollup/rollup-linux-riscv64-gnu": "4.61.1", - "@rollup/rollup-linux-riscv64-musl": "4.61.1", - "@rollup/rollup-linux-s390x-gnu": "4.61.1", - "@rollup/rollup-linux-x64-gnu": "4.61.1", - "@rollup/rollup-linux-x64-musl": "4.61.1", - "@rollup/rollup-openbsd-x64": "4.61.1", - "@rollup/rollup-openharmony-arm64": "4.61.1", - "@rollup/rollup-win32-arm64-msvc": "4.61.1", - "@rollup/rollup-win32-ia32-msvc": "4.61.1", - "@rollup/rollup-win32-x64-gnu": "4.61.1", - "@rollup/rollup-win32-x64-msvc": "4.61.1", + "@rollup/rollup-android-arm-eabi": "4.62.0", + "@rollup/rollup-android-arm64": "4.62.0", + "@rollup/rollup-darwin-arm64": "4.62.0", + "@rollup/rollup-darwin-x64": "4.62.0", + "@rollup/rollup-freebsd-arm64": "4.62.0", + "@rollup/rollup-freebsd-x64": "4.62.0", + "@rollup/rollup-linux-arm-gnueabihf": "4.62.0", + "@rollup/rollup-linux-arm-musleabihf": "4.62.0", + "@rollup/rollup-linux-arm64-gnu": "4.62.0", + "@rollup/rollup-linux-arm64-musl": "4.62.0", + "@rollup/rollup-linux-loong64-gnu": "4.62.0", + "@rollup/rollup-linux-loong64-musl": "4.62.0", + "@rollup/rollup-linux-ppc64-gnu": "4.62.0", + "@rollup/rollup-linux-ppc64-musl": "4.62.0", + "@rollup/rollup-linux-riscv64-gnu": "4.62.0", + "@rollup/rollup-linux-riscv64-musl": "4.62.0", + "@rollup/rollup-linux-s390x-gnu": "4.62.0", + "@rollup/rollup-linux-x64-gnu": "4.62.0", + "@rollup/rollup-linux-x64-musl": "4.62.0", + "@rollup/rollup-openbsd-x64": "4.62.0", + "@rollup/rollup-openharmony-arm64": "4.62.0", + "@rollup/rollup-win32-arm64-msvc": "4.62.0", + "@rollup/rollup-win32-ia32-msvc": "4.62.0", + "@rollup/rollup-win32-x64-gnu": "4.62.0", + "@rollup/rollup-win32-x64-msvc": "4.62.0", "fsevents": "~2.3.2" } }, diff --git a/app/frontend/src/App.jsx b/app/frontend/src/App.jsx index 28dcbc8..fcb9f9d 100644 --- a/app/frontend/src/App.jsx +++ b/app/frontend/src/App.jsx @@ -467,6 +467,8 @@ function App() { serverRunning={serverRunning} setServerRunning={setServerRunning} constraints={constraints} + setConstraints={setConstraints} + telemetry={telemetry} backendOptions={backendOptions} showAlert={showAlert} showConfirm={showConfirm} diff --git a/app/frontend/src/components/ModelManager.jsx b/app/frontend/src/components/ModelManager.jsx index ac7b506..ee40705 100644 --- a/app/frontend/src/components/ModelManager.jsx +++ b/app/frontend/src/components/ModelManager.jsx @@ -96,7 +96,7 @@ const COREML_MODEL_LIBRARY = [ }, ]; -function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message), activeTab }) { +function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRunning, constraints, setConstraints, telemetry, backendOptions, showAlert = async ({ message }) => window.alert(message), showConfirm = async ({ message }) => window.confirm(message), activeTab }) { const [localModels, setLocalModels] = useState([]); const [isLoadingModels, setIsLoadingModels] = useState(true); const [downloadingModelId, setDownloadingModelId] = useState(null); @@ -111,6 +111,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun const [isUnloading, setIsUnloading] = useState(false); const [unloadProgress, setUnloadProgress] = useState({ progress: 0, phase: "" }); const [pendingLoadModel, setPendingLoadModel] = useState(null); + const [vramWarning, setVramWarning] = useState(null); const [backendInfo, setBackendInfo] = useState({ backendMode: "", backendBinary: "", backendDevice: "" }); const cancelLoadRef = React.useRef(false); @@ -320,16 +321,39 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun await fetchModels(); }; + // Check VRAM and trigger warning or load directly + const checkVramAndLoad = async (modelId) => { + const modelInfo = getLocalModelInfo(modelId); + if (modelInfo && telemetry && telemetry.vram_total_gb > 0) { + const isCpuMode = constraints.backendType === "cpu" || !constraints.useGpu; + const isOpenVino = modelInfo.backendType === "openvino-npu"; + if (!isCpuMode && !isOpenVino) { + const freeVramGb = telemetry.vram_total_gb - telemetry.vram_used_gb; + const modelSizeGb = (modelInfo.sizeBytes || 0) / (1024 * 1024 * 1024); + if (modelSizeGb > freeVramGb) { + setVramWarning({ + modelId, + modelSizeGb, + freeVramGb, + totalVramGb: telemetry.vram_total_gb, + }); + return; + } + } + } + await performLoadModel(modelId); + }; + // Start the model server backend const handleLoadModel = async (modelId) => { if (activeModel && activeModel !== modelId && serverRunning) { setPendingLoadModel(modelId); return; } - await performLoadModel(modelId); + await checkVramAndLoad(modelId); }; - const performLoadModel = async (modelId) => { + const performLoadModel = async (modelId, forcedConstraints = null) => { const isTauriDesktop = typeof window !== "undefined" && window.__TAURI_INTERNALS__ !== undefined; const isLocalServerMode = typeof window !== "undefined" && (window.location.hostname === "localhost" || window.location.hostname === "127.0.0.1"); const backendStatus = await getBackendStatus(); @@ -373,27 +397,28 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun try { const modelInfo = getLocalModelInfo(modelId); const isCoreMLModel = modelInfo?.format === "CoreML" || modelInfo?.backendType === "apple-npu"; + const activeConstraints = forcedConstraints || constraints; const loadConstraints = isCoreMLModel ? { - ...constraints, + ...activeConstraints, backendType: "apple-npu", useGpu: true, width: 512, height: 512, - steps: constraints.steps || 20, - cfgScale: constraints.cfgScale || 7, + steps: activeConstraints.steps || 20, + cfgScale: activeConstraints.cfgScale || 7, } : modelInfo?.backendType === "openvino-npu" ? { - ...constraints, + ...activeConstraints, backendType: "openvino-npu", useGpu: true, - width: constraints.width >= 1024 ? 1024 : 512, - height: constraints.height >= 1024 ? 1024 : 512, - steps: Math.max(1, Math.min(8, constraints.steps || 4)), - cfgScale: constraints.cfgScale || 1, + width: activeConstraints.width >= 1024 ? 1024 : 512, + height: activeConstraints.height >= 1024 ? 1024 : 512, + steps: Math.max(1, Math.min(8, activeConstraints.steps || 4)), + cfgScale: activeConstraints.cfgScale || 1, } - : constraints; + : activeConstraints; const response = await startServer(modelId, loadConstraints); console.log(response); @@ -466,7 +491,7 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun setPendingLoadModel(null); await handleUnloadModel(); if (nextModel) { - await performLoadModel(nextModel); + await checkVramAndLoad(nextModel); } }; @@ -989,6 +1014,63 @@ function ModelManager({ activeModel, setActiveModel, serverRunning, setServerRun
)} + + {vramWarning && ( +
+
+
+ +

VRAM Limit Exceeded

+
+

+ The model {vramWarning.modelId} is approximately {vramWarning.modelSizeGb.toFixed(1)} GB, which exceeds your currently available GPU VRAM of {vramWarning.freeVramGb.toFixed(1)} GB free (out of {vramWarning.totalVramGb.toFixed(1)} GB total). +

+ Loading this model on your GPU may fail, crash the backend, or cause extremely slow generation due to memory spilling. +

+
+ + + +
+
+
+ )}
); } diff --git a/scripts/build_from_source.sh b/scripts/build_from_source.sh index 3c55636..41e454e 100755 --- a/scripts/build_from_source.sh +++ b/scripts/build_from_source.sh @@ -139,7 +139,7 @@ cd "$BUILD_DIR" echo "" echo "=== Building CUDA Backend ===" rm -rf build-cuda && mkdir build-cuda && cd build-cuda -cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release +cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA_FORCE_MMQ=ON cmake --build . --config Release -j"$JOBS" echo "Copying CUDA binaries..." diff --git a/scripts/serve.cjs b/scripts/serve.cjs index da7f0f1..4c6907d 100644 --- a/scripts/serve.cjs +++ b/scripts/serve.cjs @@ -1484,7 +1484,11 @@ async function startBackend(settings = {}) { args.push("--vae-on-cpu"); } if (currentSettings.flashAttn) { - args.push("--fa"); + if (requestedBackend === "cuda") { + args.push("--diffusion-fa"); + } else { + args.push("--fa"); + } } } diff --git a/scripts/setup.sh b/scripts/setup.sh index eff71ba..e7a7f7f 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -363,16 +363,125 @@ if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "amd" || "$VENDOR" == "" ]]; then chmod +x "$ROCM_BACKEND_DIR/sd-rocm" "$ROCM_BACKEND_DIR/sd-server-rocm" 2>/dev/null || true fi -# CUDA backend on Linux is intentionally disabled. -# upstream leejet/stable-diffusion.cpp does not publish official Linux CUDA binaries -# (see https://github.com/leejet/stable-diffusion.cpp/issues/1291), and the only -# third-party build we evaluated (leaxer-ai/leaxer-stable-diffusion v0.1.0) loads -# models but segfaults during generation. Until a reliable Linux CUDA binary is -# available, Linux NVIDIA systems fall back to the Vulkan backend, which uses the -# same GPU via the vendor's Vulkan driver. -if [[ $MAX_PERF -eq 1 ]] && [[ "$VENDOR" == "nvidia" ]]; then - print_info "Linux CUDA backend is disabled pending a reliable upstream binary." - print_info "NVIDIA GPUs on Linux will use the Vulkan backend instead." +# CUDA backend on Linux: ask user, download prebuilt first, and compile from source as a fallback. +CUDA_BACKEND_DIR="$BACKEND_DIR/cuda" +if [[ "$VENDOR" == "nvidia" ]]; then + if [[ ! -f "$CUDA_BACKEND_DIR/sd-cuda" || ! -f "$CUDA_BACKEND_DIR/sd-server-cuda" ]]; then + echo "" + echo " ============================================================" + echo " NVIDIA GPU Detected" + echo " ============================================================" + echo " To get the best performance, you can use the CUDA backend." + echo " Setting this up can download a prebuilt binary or compile from" + echo " source (which takes 10-15 minutes)." + echo "" + echo " Alternatively, you can use the Vulkan backend which is already" + echo " installed and runs immediately (recommended for GTX cards)." + echo " ============================================================" + echo "" + + CHOOSE_CUDA="n" + if [[ -t 0 ]]; then + read -t 30 -rp " Do you want to proceed with CUDA setup? [y/N]: " CHOOSE_CUDA || CHOOSE_CUDA="n" + else + print_info "Non-interactive environment detected; defaulting to Vulkan." + fi + + if [[ "$CHOOSE_CUDA" =~ ^[Yy]$ ]]; then + TRY_DOWNLOAD=1 + PREBUILT_URL="https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-server-x86_64-unknown-linux-gnu-cuda" + PREBUILT_CLI_URL="https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-x86_64-unknown-linux-gnu-cuda" + + mkdir -p "$CUDA_BACKEND_DIR" + + print_info "Attempting to download prebuilt CUDA binary..." + if download_file "$PREBUILT_URL" "$CUDA_BACKEND_DIR/sd-server-cuda" "Prebuilt Linux CUDA Server" && \ + download_file "$PREBUILT_CLI_URL" "$CUDA_BACKEND_DIR/sd-cuda" "Prebuilt Linux CUDA CLI"; then + + chmod +x "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda" 2>/dev/null || true + + print_info "Testing downloaded prebuilt CUDA binary..." + if "$CUDA_BACKEND_DIR/sd-server-cuda" --help >/dev/null 2>&1; then + print_ok "Prebuilt CUDA binary verified and works! Skipping compilation." + TRY_DOWNLOAD=0 + else + print_warn "Prebuilt CUDA binary failed verification test (missing libraries or library mismatch)." + rm -f "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda" + fi + else + print_warn "Failed to download prebuilt CUDA binary." + rm -f "$CUDA_BACKEND_DIR/sd-server-cuda" "$CUDA_BACKEND_DIR/sd-cuda" + fi + + if [[ $TRY_DOWNLOAD -eq 1 ]]; then + if command -v nvcc >/dev/null 2>&1 && command -v cmake >/dev/null 2>&1 && command -v git >/dev/null 2>&1; then + print_info "NVIDIA GPU and CUDA compilation tools (nvcc, cmake, git) detected." + print_info "Building CUDA backend from source..." + + BUILD_DIR="$TOOLS_DIR/build-sd" + JOBS="$(getconf _NPROCESSORS_ONLN 2>/dev/null || echo 4)" + + if [[ ! -d "$BUILD_DIR" ]]; then + print_info "Cloning stable-diffusion.cpp..." + git clone https://github.com/leejet/stable-diffusion.cpp.git "$BUILD_DIR" + fi + + PUSHED_DIR="$(pwd)" + cd "$BUILD_DIR" + + print_info "Checking out pinned tag $SD_RELEASE..." + git fetch origin + git checkout -f "$SD_RELEASE" + git submodule update --init --recursive + + rm -rf build-cuda && mkdir build-cuda && cd build-cuda + + print_info "Running cmake for CUDA backend..." + if cmake .. -DSD_CUDA=ON -DSD_BUILD_SHARED_LIBS=ON -DCMAKE_BUILD_TYPE=Release -DGGML_CUDA_FORCE_MMQ=ON && \ + cmake --build . --config Release -j"$JOBS"; then + + mkdir -p "$CUDA_BACKEND_DIR" + if [[ -f bin/sd-server ]]; then + cp bin/sd-server "$CUDA_BACKEND_DIR/sd-cuda" + cp bin/sd-server "$CUDA_BACKEND_DIR/sd-server-cuda" + else + print_fail "CUDA build succeeded but bin/sd-server was not found." + cd "$PUSHED_DIR" + exit 1 + fi + + if [[ -f bin/sd ]]; then + cp bin/sd "$CUDA_BACKEND_DIR/sd-cli-cuda" + elif [[ -f bin/sd-cli ]]; then + cp bin/sd-cli "$CUDA_BACKEND_DIR/sd-cli-cuda" + fi + + SO_PATH_CUDA=$(find . -name "libstable-diffusion.so" | head -n 1) + if [[ -n "$SO_PATH_CUDA" ]]; then + cp "$SO_PATH_CUDA" "$CUDA_BACKEND_DIR/" + fi + + chmod +x "$CUDA_BACKEND_DIR/sd-cuda" "$CUDA_BACKEND_DIR/sd-server-cuda" 2>/dev/null || true + if [[ -f "$CUDA_BACKEND_DIR/sd-cli-cuda" ]]; then + chmod +x "$CUDA_BACKEND_DIR/sd-cli-cuda" 2>/dev/null || true + fi + print_ok "CUDA backend compiled and installed successfully from source." + else + print_warn "CUDA backend build from source failed. Falling back to Vulkan." + fi + cd "$PUSHED_DIR" + else + print_warn "CUDA compilation tools (nvcc, cmake, and/or git) are missing." + print_info "To compile the CUDA backend, install the NVIDIA CUDA Toolkit, cmake, and git." + print_info "Falling back to Vulkan." + fi + fi + else + print_info "Declined CUDA setup. Using Vulkan GPU backend instead." + fi + else + print_ok "CUDA backend already ready." + fi fi fi @@ -396,10 +505,14 @@ fi if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then print_info "Migrating existing node_modules to $OS_LABEL..." - mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES" + if [[ -d "$OS_NODE_MODULES" ]]; then + rm -rf "$FRONTEND_NODE_MODULES" + else + mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES" + fi fi -rm -f "$FRONTEND_NODE_MODULES" +rm -rf "$FRONTEND_NODE_MODULES" mkdir -p "$OS_NODE_MODULES" ln -sf "$OS_LABEL" "$FRONTEND_NODE_MODULES" From 98c65fc610ba69550b70f947dfa81dad0d738e7a Mon Sep 17 00:00:00 2001 From: howwonder Date: Sun, 14 Jun 2026 12:34:22 +0530 Subject: [PATCH 17/69] improve node_modules cross-platform management with tag-based swapping and add Linux CUDA backend support via automated source builds. --- README.md | 31 ++++++++++++-------- linux.sh | 59 +++++++++++++++++++++++++++++++++----- mac.sh | 59 +++++++++++++++++++++++++++++++++----- scripts/setup.ps1 | 22 +++++++++++++++ scripts/setup.sh | 72 +++++++++++++++++++++++++++++++++++++++-------- 5 files changed, 206 insertions(+), 37 deletions(-) diff --git a/README.md b/README.md index 91bd63b..6fb8d55 100644 --- a/README.md +++ b/README.md @@ -36,13 +36,14 @@ ### Linux 1. **Check compatibility:** Prebuilt Linux backends are built on Ubuntu 24.04 and require **glibc 2.38+**. Run `ldd --version` to verify. 2. **Launch:** Open a terminal in the project folder and run **`./linux.sh`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run). + - NVIDIA GPU users will be prompted if they want to set up the high-performance **CUDA** backend (which attempts to download a prebuilt binary first and automatically compiles from source as a fallback if conflicts are found). - For maximum AMD GPU performance, use **`./linux.sh --max-perf`** on first setup (adds the ROCm backend). - For Intel Core Ultra NPU support, install the Intel Linux NPU driver, then run **`./linux.sh --setup-openvino`**. 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. ### macOS -1. **Check compatibility:** The prebuilt macOS backend is for **Apple Silicon (M1 or newer)** and uses **Metal** GPU acceleration. +1. **Check compatibility:** The prebuilt macOS backend is for **Apple Silicon (M1 or newer)** and uses **Metal** GPU acceleration. *(Note: macOS Intel hardware is completely unsupported and has not been tested.)* 2. **Launch:** Open Terminal in the project folder and run **`./mac.sh`** (downloads portable Node.js and the pre-compiled Metal backend on first run). 3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI). 4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt. @@ -98,7 +99,7 @@ local-ai-image-generator/ | GPU Vendor | Primary | Fallback | Notes | | :--- | :--- | :--- | :--- | -| **NVIDIA** | Vulkan | CPU | No reliable prebuilt Linux CUDA binary is currently available. NVIDIA GPUs use Vulkan. | +| **NVIDIA** | CUDA / Vulkan | Vulkan / CPU | Auto-detects NVIDIA. Prompt-driven CUDA setup downloads prebuilt or compiles from source. Falls back to Vulkan for GTX. | | **AMD Radeon** | ROCm | Vulkan | ROCm provides best AMD performance when host ROCm drivers are available. | | **Intel Arc / integrated** | Vulkan | CPU | Cross-vendor Vulkan support. | | **Intel Core Ultra NPU** | OpenVINO NPU | CPU | Requires the Intel Linux NPU driver, kernel 6.6+, Python 3, and `./linux.sh --setup-openvino`. | @@ -109,17 +110,16 @@ local-ai-image-generator/ | Hardware | Primary | Fallback | Notes | | :--- | :--- | :--- | :--- | | **Apple Silicon (M1 or newer)** | Metal | CPU | Uses the official Darwin arm64 stable-diffusion.cpp backend. | -| **Intel Mac** | Source build required | CPU | Official prebuilt macOS backend is Apple Silicon only. | **System requirements:** - **64-bit Windows 10 or Windows 11** is required for the portable Node.js 22 runtime used by the Windows launcher. - **glibc 2.38 or newer** is required for the prebuilt Linux backends (Ubuntu 24.04, Fedora 40+, etc.). - The setup script will warn you if your glibc is older. You can still run setup, but the prebuilt backends will not start. - **Linux OpenVINO NPU:** Intel Core Ultra, x86_64 Linux, kernel 6.6+, a working `/dev/accel/accel0` device, Python 3 with `venv`, and the Intel Linux NPU driver are required. -- **Apple Silicon (M1 or newer)** is required for the prebuilt macOS Metal backend. +- **Apple Silicon (M1 or newer)** is required for the prebuilt macOS Metal backend. *(Note: macOS Intel hardware is completely unsupported and has not been tested.)* **Linux setup modes:** -- **Default (`./linux.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). +- **Default (`./linux.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB). If an NVIDIA GPU is detected, prompts to set up CUDA (attempts to download prebuilt, otherwise compiles from source). - **Maximum Performance (`./linux.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB. - **Intel NPU (`./linux.sh --setup-openvino`)**: Creates a local OpenVINO Python environment and verifies that the Intel NPU driver exposes an `NPU` device. @@ -129,11 +129,20 @@ local-ai-image-generator/ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution; actual times can vary depending on specific hardware specifications, clock speeds, and system load): -* **CUDA GPU (Nvidia RTX):** ~10 seconds. -* **ROCm GPU (AMD RDNA2/RDNA3):** ~15–30 seconds. -* **Vulkan GPU (AMD / Intel Arc):** ~89 seconds. -* **GTX Vulkan Fallback (Nvidia GTX):** ~30 seconds (Vulkan runs significantly faster on legacy GTX series cards since they lack Tensor Cores). -* **CPU (Fallback):** ~150 - 300+ seconds (highly dependent on processor core count, speed, and AVX instruction sets). +| Operating System | Backend / Hardware | Typical Time (512x512) | Notes | +| :--- | :--- | :--- | :--- | +| **Windows** | NVIDIA RTX (CUDA) | ~10 seconds | Native CUDA with Tensor Core acceleration. | +| **Windows** | AMD Radeon / Intel Arc (Vulkan) | ~89 seconds | Cross-vendor Vulkan GPU fallback. | +| **Windows** | NVIDIA GTX (Vulkan) | ~30 seconds | Vulkan is faster than CUDA on legacy GTX cards. | +| **Windows** | CPU | 150 - 300+ seconds | Legacy fallback, highly dependent on CPU cores. | +| **Linux** | NVIDIA RTX (CUDA) | ~10 seconds | Automated source-build / prebuilt CUDA. | +| **Linux** | AMD Radeon (ROCm) | ~15 - 30 seconds | Native AMD performance (requires ROCm drivers). | +| **Linux** | NVIDIA GTX (Vulkan) | ~29 seconds | Tested on GTX 1650 (25.5s sampling, 3.7s decode). | +| **Linux** | AMD / Intel Arc (Vulkan) | ~89 seconds | Vulkan API acceleration. | +| **Linux** | Intel Core Ultra (OpenVINO NPU) | ~15 - 40 seconds | Dedicated Intel NPU hardware acceleration. | +| **Linux** | CPU | 150 - 300+ seconds | Logical thread computation. | +| **macOS** | Apple Silicon M-Series (Metal GPU) | ~12 - 25 seconds | Native Metal backend on Apple Silicon. | +| **macOS** | Apple Silicon ANE (Apple NPU) | ~10 - 18 seconds | CoreML compilation on Apple Neural Engine. | --- @@ -149,7 +158,7 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution ## 🔨 Building Linux Backends From Source -If your distribution has an older glibc than 2.38, or you want a CUDA backend on Linux, you can build `stable-diffusion.cpp` directly on your machine. The resulting binary will be linked against your system's glibc and will not have the compatibility issues of the prebuilt releases. +The setup script (`scripts/setup.sh`) now automates building and setting up the CUDA backend from source when selected. If you want to manually build all backends (CPU, Vulkan, and CUDA) at once, you can run the included `scripts/build_from_source.sh` script. For macOS, the included `scripts/build_from_source.sh` builds the Metal backend and copies it to `app/backend/mac/sd`. diff --git a/linux.sh b/linux.sh index baae599..772b10d 100755 --- a/linux.sh +++ b/linux.sh @@ -53,18 +53,63 @@ if [[ $SETUP_OPENVINO -eq 1 ]]; then bash "$SCRIPT_DIR/scripts/setup-openvino-npu.sh" fi -# ── Symlink node_modules to avoid OS conflicts ────────────────────────────── +# ── Setup node_modules to avoid OS conflicts ──────────────────────────────── FRONTEND_NODE_MODULES="$APP_DIR/frontend/node_modules" LINUX_NODE_MODULES="$APP_DIR/frontend/node_modules_linux" +ACTIVE_OS_FILE="$APP_DIR/frontend/.active_modules_os" -if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then - echo " >> Migrating existing node_modules to node_modules_linux..." - mv "$FRONTEND_NODE_MODULES" "$LINUX_NODE_MODULES" +# Attempt to create a test symlink to check if filesystem supports symlinks +USE_SYMLINKS=true +TEST_LINK="$APP_DIR/frontend/.test_symlink" +rm -f "$TEST_LINK" +if ln -s "node_modules_linux" "$TEST_LINK" 2>/dev/null; then + rm -f "$TEST_LINK" +else + USE_SYMLINKS=false fi -rm -f "$FRONTEND_NODE_MODULES" -mkdir -p "$LINUX_NODE_MODULES" -ln -sf "node_modules_linux" "$FRONTEND_NODE_MODULES" +if [ "$USE_SYMLINKS" = true ]; then + if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Migrating existing node_modules to node_modules_linux..." + mv "$FRONTEND_NODE_MODULES" "$LINUX_NODE_MODULES" + fi + rm -f "$FRONTEND_NODE_MODULES" + mkdir -p "$LINUX_NODE_MODULES" + ln -sf "node_modules_linux" "$FRONTEND_NODE_MODULES" +else + # Fallback: Filesystem does not support symlinks (e.g. FAT32/exFAT) + echo " >> Filesystem does not support symlinks. Using directory swapping fallback..." + + if [[ -L "$FRONTEND_NODE_MODULES" || -f "$FRONTEND_NODE_MODULES" ]]; then + rm -f "$FRONTEND_NODE_MODULES" + fi + + PREV_OS="" + if [[ -f "$ACTIVE_OS_FILE" ]]; then + PREV_OS=$(cat "$ACTIVE_OS_FILE") + fi + + if [[ -d "$FRONTEND_NODE_MODULES" && "$PREV_OS" != "linux" ]]; then + if [[ -n "$PREV_OS" ]]; then + echo " >> Swapping out node_modules to node_modules_$PREV_OS..." + rm -rf "$APP_DIR/frontend/node_modules_$PREV_OS" + mv "$FRONTEND_NODE_MODULES" "$APP_DIR/frontend/node_modules_$PREV_OS" + else + echo " >> Saving node_modules as node_modules_windows..." + rm -rf "$APP_DIR/frontend/node_modules_windows" + mv "$FRONTEND_NODE_MODULES" "$APP_DIR/frontend/node_modules_windows" + fi + fi + + if [[ -d "$LINUX_NODE_MODULES" && ! -d "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Swapping in node_modules_linux..." + mv "$LINUX_NODE_MODULES" "$FRONTEND_NODE_MODULES" + elif [[ ! -d "$FRONTEND_NODE_MODULES" ]]; then + mkdir -p "$FRONTEND_NODE_MODULES" + fi + + echo "linux" > "$ACTIVE_OS_FILE" +fi # ── First-time setup check ───────────────────────────────────────────────── if [[ ! -d "$NODE_DIR" ]]; then diff --git a/mac.sh b/mac.sh index aa603c0..efe5fdf 100755 --- a/mac.sh +++ b/mac.sh @@ -28,18 +28,63 @@ FRONTEND_PORT="${FRONTEND_PORT:-1420}" SETUP_REASON="" SETUP_MODE="Repair" -# ── Symlink node_modules to avoid OS conflicts ────────────────────────────── +# ── Setup node_modules to avoid OS conflicts ──────────────────────────────── FRONTEND_NODE_MODULES="$APP_DIR/frontend/node_modules" MAC_NODE_MODULES="$APP_DIR/frontend/node_modules_mac" +ACTIVE_OS_FILE="$APP_DIR/frontend/.active_modules_os" -if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then - echo " >> Migrating existing node_modules to node_modules_mac..." - mv "$FRONTEND_NODE_MODULES" "$MAC_NODE_MODULES" +# Attempt to create a test symlink to check if filesystem supports symlinks +USE_SYMLINKS=true +TEST_LINK="$APP_DIR/frontend/.test_symlink" +rm -f "$TEST_LINK" +if ln -s "node_modules_mac" "$TEST_LINK" 2>/dev/null; then + rm -f "$TEST_LINK" +else + USE_SYMLINKS=false fi -rm -f "$FRONTEND_NODE_MODULES" -mkdir -p "$MAC_NODE_MODULES" -ln -sf "node_modules_mac" "$FRONTEND_NODE_MODULES" +if [ "$USE_SYMLINKS" = true ]; then + if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Migrating existing node_modules to node_modules_mac..." + mv "$FRONTEND_NODE_MODULES" "$MAC_NODE_MODULES" + fi + rm -f "$FRONTEND_NODE_MODULES" + mkdir -p "$MAC_NODE_MODULES" + ln -sf "node_modules_mac" "$FRONTEND_NODE_MODULES" +else + # Fallback: Filesystem does not support symlinks (e.g. FAT32/exFAT) + echo " >> Filesystem does not support symlinks. Using directory swapping fallback..." + + if [[ -L "$FRONTEND_NODE_MODULES" || -f "$FRONTEND_NODE_MODULES" ]]; then + rm -f "$FRONTEND_NODE_MODULES" + fi + + PREV_OS="" + if [[ -f "$ACTIVE_OS_FILE" ]]; then + PREV_OS=$(cat "$ACTIVE_OS_FILE") + fi + + if [[ -d "$FRONTEND_NODE_MODULES" && "$PREV_OS" != "mac" ]]; then + if [[ -n "$PREV_OS" ]]; then + echo " >> Swapping out node_modules to node_modules_$PREV_OS..." + rm -rf "$APP_DIR/frontend/node_modules_$PREV_OS" + mv "$FRONTEND_NODE_MODULES" "$APP_DIR/frontend/node_modules_$PREV_OS" + else + echo " >> Saving node_modules as node_modules_windows..." + rm -rf "$APP_DIR/frontend/node_modules_windows" + mv "$FRONTEND_NODE_MODULES" "$APP_DIR/frontend/node_modules_windows" + fi + fi + + if [[ -d "$MAC_NODE_MODULES" && ! -d "$FRONTEND_NODE_MODULES" ]]; then + echo " >> Swapping in node_modules_mac..." + mv "$MAC_NODE_MODULES" "$FRONTEND_NODE_MODULES" + elif [[ ! -d "$FRONTEND_NODE_MODULES" ]]; then + mkdir -p "$FRONTEND_NODE_MODULES" + fi + + echo "mac" > "$ACTIVE_OS_FILE" +fi # ── First-time setup check ───────────────────────────────────────────────── if [[ ! -d "$NODE_DIR" ]]; then diff --git a/scripts/setup.ps1 b/scripts/setup.ps1 index feabd06..a882c05 100644 --- a/scripts/setup.ps1 +++ b/scripts/setup.ps1 @@ -402,14 +402,36 @@ if (-not (Test-Path $npmCmd)) { # If node_modules is a Unix symlink/junction, remove it so Windows can install natively into a real directory $nodeModulesDir = Join-Path $frontendDir "node_modules" +$activeOsFile = Join-Path $frontendDir ".active_modules_os" +$prevOs = "" +if (Test-Path $activeOsFile) { + $prevOs = (Get-Content $activeOsFile -Raw).Trim() +} + if (Test-Path $nodeModulesDir) { $item = Get-Item $nodeModulesDir if ($item.Attributes -match "ReparsePoint") { Print-Info "Removing Unix symlink for node_modules on Windows..." Remove-Item $nodeModulesDir -Force -ErrorAction SilentlyContinue + } elseif ($prevOs -ne "windows" -and $prevOs -ne "") { + # It's a real folder, but it belongs to another OS (e.g. linux or mac) + Print-Info "Swapping out node_modules to node_modules_$prevOs..." + $targetDir = Join-Path $frontendDir "node_modules_$prevOs" + if (Test-Path $targetDir) { Remove-Item $targetDir -Recurse -Force -ErrorAction SilentlyContinue } + Move-Item $nodeModulesDir $targetDir -Force } } +# Now swap in node_modules_windows if it exists +$winModulesDir = Join-Path $frontendDir "node_modules_windows" +if ((Test-Path $winModulesDir) -and -not (Test-Path $nodeModulesDir)) { + Print-Info "Swapping in node_modules_windows..." + Move-Item $winModulesDir $nodeModulesDir -Force +} + +# Mark windows as active +"windows" | Out-File -FilePath $activeOsFile -NoNewline -Encoding utf8 + Push-Location $frontendDir $oldPath = $env:PATH try { diff --git a/scripts/setup.sh b/scripts/setup.sh index e7a7f7f..2822e00 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -269,7 +269,7 @@ if [[ "$PLATFORM" == "Darwin" ]]; then print_step 2 $TOTAL_STEPS "Setting up stable-diffusion.cpp Metal backend (app/backend/mac/)" if [[ "$ARCH" != "arm64" ]]; then print_fail "The official macOS backend binary is Apple Silicon only (arm64)." - print_info "Intel Macs need a local source build with Metal/OpenBLAS and a matching app/backend/mac/sd binary." + print_info "macOS Intel hardware is completely unsupported and has not been tested." exit 1 fi @@ -493,29 +493,77 @@ if [[ ! -x "$NPM_BIN" ]]; then exit 1 fi -# Ensure correct OS-specific node_modules folder is symlinked to avoid conflicts +# Ensure correct OS-specific node_modules folder is symlinked or swapped to avoid conflicts FRONTEND_NODE_MODULES="$FRONTEND_DIR/node_modules" +ACTIVE_OS_FILE="$FRONTEND_DIR/.active_modules_os" + if [[ "$PLATFORM" == "Darwin" ]]; then OS_NODE_MODULES="$FRONTEND_DIR/node_modules_mac" OS_LABEL="node_modules_mac" + CURRENT_OS="mac" else OS_NODE_MODULES="$FRONTEND_DIR/node_modules_linux" OS_LABEL="node_modules_linux" + CURRENT_OS="linux" fi -if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then - print_info "Migrating existing node_modules to $OS_LABEL..." - if [[ -d "$OS_NODE_MODULES" ]]; then - rm -rf "$FRONTEND_NODE_MODULES" - else - mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES" +# Attempt to create a test symlink to check if filesystem supports symlinks +USE_SYMLINKS=true +TEST_LINK="$FRONTEND_DIR/.test_symlink" +rm -f "$TEST_LINK" +if ln -s "$OS_LABEL" "$TEST_LINK" 2>/dev/null; then + rm -f "$TEST_LINK" +else + USE_SYMLINKS=false +fi + +if [ "$USE_SYMLINKS" = true ]; then + if [[ -d "$FRONTEND_NODE_MODULES" && ! -L "$FRONTEND_NODE_MODULES" ]]; then + print_info "Migrating existing node_modules to $OS_LABEL..." + if [[ -d "$OS_NODE_MODULES" ]]; then + rm -rf "$FRONTEND_NODE_MODULES" + else + mv "$FRONTEND_NODE_MODULES" "$OS_NODE_MODULES" + fi fi + rm -rf "$FRONTEND_NODE_MODULES" + mkdir -p "$OS_NODE_MODULES" + ln -sf "$OS_LABEL" "$FRONTEND_NODE_MODULES" +else + # Fallback: Filesystem does not support symlinks (e.g. FAT32/exFAT) + print_info "Filesystem does not support symlinks. Using directory swapping fallback..." + + if [[ -L "$FRONTEND_NODE_MODULES" || -f "$FRONTEND_NODE_MODULES" ]]; then + rm -rf "$FRONTEND_NODE_MODULES" + fi + + PREV_OS="" + if [[ -f "$ACTIVE_OS_FILE" ]]; then + PREV_OS=$(cat "$ACTIVE_OS_FILE") + fi + + if [[ -d "$FRONTEND_NODE_MODULES" && "$PREV_OS" != "$CURRENT_OS" ]]; then + if [[ -n "$PREV_OS" ]]; then + print_info "Swapping out node_modules to node_modules_$PREV_OS..." + rm -rf "$FRONTEND_DIR/node_modules_$PREV_OS" + mv "$FRONTEND_NODE_MODULES" "$FRONTEND_DIR/node_modules_$PREV_OS" + else + print_info "Saving node_modules as node_modules_windows..." + rm -rf "$FRONTEND_DIR/node_modules_windows" + mv "$FRONTEND_NODE_MODULES" "$FRONTEND_DIR/node_modules_windows" + fi + fi + + if [[ -d "$OS_NODE_MODULES" && ! -d "$FRONTEND_NODE_MODULES" ]]; then + print_info "Swapping in $OS_LABEL..." + mv "$OS_NODE_MODULES" "$FRONTEND_NODE_MODULES" + elif [[ ! -d "$FRONTEND_NODE_MODULES" ]]; then + mkdir -p "$FRONTEND_NODE_MODULES" + fi + + echo "$CURRENT_OS" > "$ACTIVE_OS_FILE" fi -rm -rf "$FRONTEND_NODE_MODULES" -mkdir -p "$OS_NODE_MODULES" -ln -sf "$OS_LABEL" "$FRONTEND_NODE_MODULES" - cd "$FRONTEND_DIR" export PATH="$NODE_DIR/bin:$PATH" From bf1484646585880add53a5da319719beba679718 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sun, 14 Jun 2026 12:50:35 +0530 Subject: [PATCH 18/69] feat: add setup.ps1 automation script and ignore .active_modules_os path --- .gitignore | 1 + scripts/setup.ps1 | 42 ++++++++++++++++++++++++++++++++++++------ 2 files changed, 37 insertions(+), 6 deletions(-) diff --git a/.gitignore b/.gitignore index c0b03c4..291422d 100644 --- a/.gitignore +++ b/.gitignore @@ -15,6 +15,7 @@ app/tools/ **/node_modules_mac/ **/node_modules_linux/ node_modules/ +**/.active_modules_os # Ignore backend folder completely (contains massive DLLs, EXEs, and ZIPs >1GB) app/backend/ diff --git a/scripts/setup.ps1 b/scripts/setup.ps1 index a882c05..b248e30 100644 --- a/scripts/setup.ps1 +++ b/scripts/setup.ps1 @@ -164,10 +164,25 @@ $steps = 4 # ── Step 1: Portable Node.js ────────────────────────────────────────────────── Print-Step 1 $steps "Setting up portable Node.js (app/tools/node-win/)" +$nodeReady = $false if ((Test-Path $nodeExe) -and (Test-Path $npmCmd)) { - $v = & $nodeExe --version - Print-OK "Portable Node.js already ready: $v" -} else { + try { + $v = & $nodeExe --version + # Test if npm is functional (doesn't throw parsing/unexpected token errors) + $npmTest = & $nodeExe (Join-Path $nodeDir "node_modules\npm\bin\npm-cli.js") --version 2>&1 + if ($LASTEXITCODE -eq 0 -and $npmTest -match "^\d+\.\d+\.\d+") { + $nodeReady = $true + Print-OK "Portable Node.js already ready: $v" + } + } catch {} +} + +if (-not $nodeReady) { + if (Test-Path $nodeDir) { + Print-Warn "Portable Node.js installation is corrupted or incomplete. Cleaning up..." + Remove-Item $nodeDir -Recurse -Force -ErrorAction SilentlyContinue + } + $nodeZip = Join-Path $toolsDir "node.zip" New-Item -ItemType Directory -Force -Path $toolsDir | Out-Null @@ -187,12 +202,27 @@ if ((Test-Path $nodeExe) -and (Test-Path $npmCmd)) { Rename-Item $extracted.FullName "node-win" } - if (-not ((Test-Path $nodeExe) -and (Test-Path $npmCmd))) { - Print-Fail "Portable Node.js install is incomplete. Close any running Local AI Image Generator windows, delete app/tools/node-win, then run setup again." + # Pause briefly to allow USB drive writes to flush + Print-Info "Waiting for disk to flush..." + Start-Sleep -Seconds 3 + + # Re-verify + $nodeReady = $false + if ((Test-Path $nodeExe) -and (Test-Path $npmCmd)) { + try { + $v = & $nodeExe --version + $npmTest = & $nodeExe (Join-Path $nodeDir "node_modules\npm\bin\npm-cli.js") --version 2>&1 + if ($LASTEXITCODE -eq 0 -and $npmTest -match "^\d+\.\d+\.\d+") { + $nodeReady = $true + } + } catch {} + } + + if (-not $nodeReady) { + Print-Fail "Portable Node.js install is incomplete or corrupted. Close any running Local AI Image Generator windows, delete app/tools/node-win, then run setup again." Read-Host; exit 1 } - $v = & $nodeExe --version Print-OK "Portable Node.js ready: $v" } From c8de31dc1784038bf41e900e670c01a1f271642e Mon Sep 17 00:00:00 2001 From: techjarves Date: Sun, 14 Jun 2026 12:56:28 +0530 Subject: [PATCH 19/69] feat: add automated setup scripts for Windows and Linux and update Windows entry point --- scripts/setup.ps1 | 1 - scripts/setup.sh | 1 - windows.bat | 19 ++++--------------- 3 files changed, 4 insertions(+), 17 deletions(-) diff --git a/scripts/setup.ps1 b/scripts/setup.ps1 index b248e30..97c4d43 100644 --- a/scripts/setup.ps1 +++ b/scripts/setup.ps1 @@ -13,7 +13,6 @@ $distDir = Join-Path $appDir "dist" # ── Helpers ─────────────────────────────────────────────────────────────────── function Print-Header { - Clear-Host Write-Host "" Write-Host " ============================================================" -ForegroundColor Cyan Write-Host " LOCAL AI IMAGE GENERATOR - First-Time Setup" -ForegroundColor Cyan diff --git a/scripts/setup.sh b/scripts/setup.sh index 2822e00..f5417e0 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -55,7 +55,6 @@ fi # ── Helpers ───────────────────────────────────────────────────────────────── print_header() { - clear 2>/dev/null || true echo "" echo " ============================================================" echo " LOCAL AI IMAGE GENERATOR - $PLATFORM_LABEL First-Time Setup" diff --git a/windows.bat b/windows.bat index 341ea51..eb52b7c 100644 --- a/windows.bat +++ b/windows.bat @@ -67,7 +67,6 @@ goto :launch :: ── Launch ──────────────────────────────────────────────────────────────────── :launch -cls echo. echo ============================================================ echo LOCAL AI IMAGE GENERATOR ^| Launching... @@ -81,14 +80,8 @@ for /f "tokens=5" %%a in ('netstat -aon 2^>nul ^| findstr ":8080 "') do taskkill :: Start frontend server + backend manager (serve.cjs manages sd-vulkan.exe) echo Starting Local AI Image Generator... -start "SD-Server" /min "%NODE%" "%SERVE%" - -:: Wait for server to bind -timeout /t 2 >nul - -:: Open browser -echo Opening browser at http://localhost:%FRONTEND_PORT% -start http://localhost:%FRONTEND_PORT% +echo Opening browser at http://localhost:%FRONTEND_PORT%... +start /b cmd /c "timeout /t 2 >nul && start http://localhost:%FRONTEND_PORT%" echo. echo ============================================================ @@ -96,12 +89,8 @@ echo Running! echo Web UI: http://localhost:%FRONTEND_PORT% echo GPU API: Auto-selected by the app (starts at 8080) echo. -echo Close this window to stop all services. +echo Press Ctrl+C in this window to stop all services. echo ============================================================ echo. -pause >nul -:: Cleanup on exit -echo Shutting down... -taskkill /fi "WINDOWTITLE eq SD-Server*" /f >nul 2>nul -echo Done. Goodbye! +"%NODE%" "%SERVE%" From 94114b17822e3e29cfe6b7c7a51fb7ecfdabc04b Mon Sep 17 00:00:00 2001 From: howwonder Date: Sun, 14 Jun 2026 13:16:28 +0530 Subject: [PATCH 20/69] feat: add support for filesystems without symlink capabilities by creating shell wrappers for Node.js binaries --- scripts/setup.sh | 58 +++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 57 insertions(+), 1 deletion(-) diff --git a/scripts/setup.sh b/scripts/setup.sh index f5417e0..11e6f1a 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -28,6 +28,16 @@ fi NODE_BIN="$NODE_DIR/bin/node" NPM_BIN="$NODE_DIR/bin/npm" +# Check if filesystem supports symlinks +USE_SYMLINKS=true +TEST_LINK="$ROOT_DIR/.test_symlink" +rm -f "$TEST_LINK" +if ln -s "test" "$TEST_LINK" 2>/dev/null; then + rm -f "$TEST_LINK" +else + USE_SYMLINKS=false +fi + # Release pins SD_RELEASE="master-685-19bdfe2" SD_SHORT_HASH="${SD_RELEASE##*-}" @@ -144,7 +154,25 @@ extract_tarxz() { local tar_path="$1" dest="$2" label="$3" print_info "Extracting: $label" mkdir -p "$dest" - tar -xf "$tar_path" -C "$dest" + if [ "$USE_SYMLINKS" = false ]; then + # On filesystems that do not support symlinks, tar will fail when attempting to create symlinks + # (e.g. for npm/npx/corepack in Node.js bin/). We allow it to continue but verify key files. + local tar_exit=0 + tar -xf "$tar_path" -C "$dest" || tar_exit=$? + if [[ $tar_exit -ne 0 ]]; then + # Check if node binary was extracted successfully + local check_file + check_file="$(find "$dest" -type f -name "node" | head -n 1)" + if [[ -n "$check_file" ]]; then + print_warn "tar returned exit code $tar_exit due to symlink failures on this filesystem, but bin/node was successfully extracted." + else + print_fail "tar extraction failed with exit code $tar_exit (could not find bin/node)" + exit $tar_exit + fi + fi + else + tar -xf "$tar_path" -C "$dest" + fi print_ok "Extracted $label" } @@ -252,6 +280,34 @@ else mv "$EXTRACTED_DIR" "$NODE_DIR" fi + if [ "$USE_SYMLINKS" = false ]; then + print_info "Filesystem does not support symlinks. Creating shell wrappers for npm, npx, and corepack..." + rm -f "$NODE_DIR/bin/npm" "$NODE_DIR/bin/npx" "$NODE_DIR/bin/corepack" + + cat << 'EOF' > "$NODE_DIR/bin/npm" +#!/bin/sh +basedir=$(dirname "$0") +exec "$basedir/node" "$basedir/../lib/node_modules/npm/bin/npm-cli.js" "$@" +EOF + chmod +x "$NODE_DIR/bin/npm" + + cat << 'EOF' > "$NODE_DIR/bin/npx" +#!/bin/sh +basedir=$(dirname "$0") +exec "$basedir/node" "$basedir/../lib/node_modules/npm/bin/npx-cli.js" "$@" +EOF + chmod +x "$NODE_DIR/bin/npx" + + cat << 'EOF' > "$NODE_DIR/bin/corepack" +#!/bin/sh +basedir=$(dirname "$0") +exec "$basedir/node" "$basedir/../lib/node_modules/corepack/dist/corepack.js" "$@" +EOF + chmod +x "$NODE_DIR/bin/corepack" + + print_ok "Created shell wrappers." + fi + if [[ ! -x "$NODE_BIN" || ! -x "$NPM_BIN" ]]; then print_fail "Portable Node.js install is incomplete." exit 1 From 9dfc0f38c42c1646bfcedef22e769deacd071ec1 Mon Sep 17 00:00:00 2001 From: howwonder Date: Sun, 14 Jun 2026 13:28:24 +0530 Subject: [PATCH 21/69] feat: add support for building without symlinks by using --no-bin-links and direct vite execution --- scripts/setup.sh | 35 +++++++++++++++++++++++++++-------- 1 file changed, 27 insertions(+), 8 deletions(-) diff --git a/scripts/setup.sh b/scripts/setup.sh index 11e6f1a..d62966f 100755 --- a/scripts/setup.sh +++ b/scripts/setup.sh @@ -622,21 +622,40 @@ fi cd "$FRONTEND_DIR" export PATH="$NODE_DIR/bin:$PATH" -if "$NPM_BIN" install --prefer-offline; then - print_ok "Dependencies installed!" +if [ "$USE_SYMLINKS" = false ]; then + if "$NPM_BIN" install --prefer-offline --no-bin-links; then + print_ok "Dependencies installed!" + else + print_fail "npm install failed." + exit 1 + fi else - print_fail "npm install failed." - exit 1 + if "$NPM_BIN" install --prefer-offline; then + print_ok "Dependencies installed!" + else + print_fail "npm install failed." + exit 1 + fi fi # ── Step 4: Build frontend ────────────────────────────────────────────────── print_step 4 $TOTAL_STEPS "Building frontend -> app/dist/" -if "$NPM_BIN" run build; then - print_ok "Frontend built!" +if [ "$USE_SYMLINKS" = false ]; then + # If symlinks are disabled, run vite directly using the local node executable. + if "$NODE_BIN" node_modules/vite/bin/vite.js build; then + print_ok "Frontend built!" + else + print_fail "Frontend build failed." + exit 1 + fi else - print_fail "Frontend build failed." - exit 1 + if "$NPM_BIN" run build; then + print_ok "Frontend built!" + else + print_fail "Frontend build failed." + exit 1 + fi fi # ── Done ──────────────────────────────────────────────────────────────────── From 43a85f8d24dcfee7dfb41f1ac75940a3aad8c4b8 Mon Sep 17 00:00:00 2001 From: techjarves Date: Sun, 14 Jun 2026 17:14:20 +0530 Subject: [PATCH 22/69] add cross-platform setup scripts and frontend boilerplate for local AI image generation --- .gitignore | 44 +-- README.md | 12 +- app/frontend/src/App.css | 233 ++++++++++++++++ app/frontend/src/App.jsx | 9 + app/frontend/src/components/Sidebar.jsx | 10 +- app/frontend/src/components/TextChat.jsx | 271 ++++++++++++++++++ app/frontend/src/services/api.js | 83 +++++- linux.sh | 6 + mac.sh | 9 + scripts/reset.ps1 | 51 ++-- scripts/reset.sh | 45 +-- scripts/serve.cjs | 340 ++++++++++++++++++++++- scripts/setup-llama.ps1 | 42 +++ scripts/setup-llama.sh | 55 ++++ scripts/setup.ps1 | 13 +- scripts/setup.sh | 9 +- windows.bat | 7 + 17 files changed, 1163 insertions(+), 76 deletions(-) create mode 100644 app/frontend/src/components/TextChat.jsx create mode 100644 scripts/setup-llama.ps1 create mode 100644 scripts/setup-llama.sh diff --git a/.gitignore b/.gitignore index 291422d..d2265da 100644 --- a/.gitignore +++ b/.gitignore @@ -1,29 +1,39 @@ -# Ignore large Stable Diffusion model weights (exceeds GitHub file limits) -app/models/*.safetensors -app/models/*.gguf -app/models/*.ckpt -app/models +# Downloaded AI models +app/models/ app/openvino-models/ +app/llm-models/ + +# Downloaded portable runtimes/backends +app/backend/ +app/llm-backend/ +app/tools/ + +# Generated files +app/dist/ app/outputs/ -# Ignore generated frontend build output -app/dist/ - -# Ignore portable Node.js binaries and packages -app/tools/ +# Dependencies and platform-specific copies **/node_modules/ -**/node_modules_mac/ +**/node_modules_*/ +**/node_modules_windows/ **/node_modules_linux/ -node_modules/ +**/node_modules_mac/ **/.active_modules_os -# Ignore backend folder completely (contains massive DLLs, EXEs, and ZIPs >1GB) -app/backend/ +# Partial downloads and archives +*.part +*.tmp +app/tools/*.zip +app/tools/*.tar.gz +app/tools/*.tar.xz -# Ignore local IDE and OS temp files +# Logs and caches +*.log +__pycache__/ +*.pyc + +# OS/editor files .vscode/ .idea/ .DS_Store Thumbs.db -*.log -*.tmp diff --git a/README.md b/README.md index 6fb8d55..ed7a944 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,16 @@ # 🖼️ Local AI Image Generator -### An easy, zero-setup Stable Diffusion GUI for Windows, Linux, and macOS. Run GGUF & Safetensors models offline without Python configuration. +### An easy, zero-setup local image and text AI studio for Windows, Linux, and macOS. + +## Text Chat + +The Text Chat workspace runs official `llama.cpp` binaries and keeps language models separate from image models: + +- Image models: `app/models` +- Text GGUF models: `app/llm-models` +- Portable llama.cpp binaries: `app/llm-backend/` + +The normal platform setup installs both image and text backends. Text and image engines are mutually exclusive by default to avoid exhausting shared RAM or VRAM. A small Qwen2.5 Coder starter model is available from the Text Chat download panel. diff --git a/app/frontend/src/App.css b/app/frontend/src/App.css index e592830..dc26e98 100644 --- a/app/frontend/src/App.css +++ b/app/frontend/src/App.css @@ -219,6 +219,239 @@ body { overflow: hidden; } +.text-chat-layout { + flex: 1; + display: grid; + grid-template-columns: minmax(0, 1fr) 380px; + gap: 18px; + padding: 20px; + min-height: 0; +} + +.text-chat-main, +.text-chat-settings { + min-height: 0; +} + +.text-chat-main { + display: flex; + flex-direction: column; + overflow: hidden; + border: 1px solid var(--border-color); + border-radius: var(--md-shape-corner-large); + background: var(--md-sys-color-surface); + box-shadow: var(--glass-shadow); +} + +.text-chat-header { + display: flex; + align-items: center; + justify-content: space-between; + gap: 16px; + padding: 18px 20px; + border-bottom: 1px solid var(--border-color); +} + +.text-chat-header h2 { + display: flex; + align-items: center; + gap: 9px; + font-size: 1.2rem; +} + +.text-chat-header p, +.chat-empty p { + margin-top: 5px; + color: var(--md-sys-color-on-surface-variant); + font-size: 0.86rem; +} + +.text-engine-badge { + max-width: 240px; + padding: 7px 10px; + border-radius: var(--md-shape-corner-full); + background: var(--md-sys-color-surface-variant); + color: var(--md-sys-color-on-surface-variant); + font-size: 0.75rem; + text-align: center; +} + +.text-engine-badge.ready { + color: var(--md-sys-color-success); + border: 1px solid color-mix(in srgb, var(--md-sys-color-success) 45%, transparent); +} + +.chat-messages { + flex: 1; + overflow: auto; + padding: 20px; + display: flex; + flex-direction: column; + gap: 14px; +} + +.chat-empty { + margin: auto; + max-width: 440px; + text-align: center; + color: var(--md-sys-color-on-surface-variant); +} + +.chat-empty h3 { + margin-top: 10px; + color: var(--md-sys-color-on-surface); +} + +.chat-message { + align-self: flex-start; + max-width: min(780px, 88%); + padding: 12px 14px; + border-radius: 4px var(--md-shape-corner-large) var(--md-shape-corner-large) var(--md-shape-corner-large); + background: var(--md-sys-color-surface-variant); + line-height: 1.55; + white-space: pre-wrap; + overflow-wrap: anywhere; +} + +.chat-message.user { + align-self: flex-end; + border-radius: var(--md-shape-corner-large) 4px var(--md-shape-corner-large) var(--md-shape-corner-large); + background: var(--md-sys-color-primary-container); +} + +.chat-message.error { + color: var(--md-sys-color-error); +} + +.chat-message strong { + display: block; + margin-bottom: 5px; + color: var(--md-sys-color-primary); + font-size: 0.78rem; +} + +.chat-thinking, +.text-progress { + display: flex; + align-items: center; + gap: 7px; + color: var(--md-sys-color-on-surface-variant); + font-size: 0.8rem; +} + +.text-progress.error { + color: var(--md-sys-color-error); +} + +.chat-composer { + display: flex; + gap: 10px; + padding: 14px; + border-top: 1px solid var(--border-color); +} + +.chat-composer textarea, +.system-prompt, +.text-chat-settings input, +.text-chat-settings select { + width: 100%; + border: 1px solid var(--border-color); + border-radius: var(--md-shape-corner-medium); + background: var(--md-sys-color-surface-variant); + color: var(--md-sys-color-on-surface); + padding: 10px 12px; + font: inherit; + outline: none; +} + +.chat-composer textarea { + min-height: 48px; + max-height: 160px; + resize: vertical; +} + +.text-chat-settings { + display: flex; + flex-direction: column; + gap: 14px; + overflow: auto; + padding-right: 3px; +} + +.text-chat-settings .m3-card { + padding: 16px; +} + +.text-model-actions, +.text-url-row { + display: flex; + gap: 8px; + margin-top: 10px; +} + +.text-local-model, +.text-download-option { + width: 100%; + display: flex; + align-items: center; + gap: 8px; + margin-top: 8px; + padding: 9px 10px; + border: 1px solid var(--border-color); + border-radius: var(--md-shape-corner-small); + background: transparent; + color: var(--md-sys-color-on-surface); + text-align: left; +} + +.text-local-model span, +.text-download-option span { + flex: 1; + min-width: 0; + overflow: hidden; + text-overflow: ellipsis; +} + +.text-local-model button { + border: 0; + background: transparent; + color: var(--md-sys-color-error); + cursor: pointer; +} + +.text-download-option { + cursor: pointer; +} + +.text-download-option:hover { + background: var(--md-sys-color-surface-variant); +} + +.text-download-option small { + color: var(--md-sys-color-on-surface-variant); +} + +.system-prompt { + min-height: 85px; + resize: vertical; + margin-top: 9px; +} + +@media (max-width: 1050px) { + .text-chat-layout { + grid-template-columns: 1fr; + overflow: auto; + } + + .text-chat-main { + min-height: 620px; + } + + .text-chat-settings { + overflow: visible; + } +} + /* Persistent Top Status Bar */ .top-status-bar { height: 64px; diff --git a/app/frontend/src/App.jsx b/app/frontend/src/App.jsx index fcb9f9d..1589964 100644 --- a/app/frontend/src/App.jsx +++ b/app/frontend/src/App.jsx @@ -4,6 +4,7 @@ import TopStatusBar from "./components/TopStatusBar"; import Generator from "./components/Generator"; import ModelManager from "./components/ModelManager"; import ImageConstraints from "./components/ImageConstraints"; +import TextChat from "./components/TextChat"; import { cleanupCandidates, formatBytes, getCleanupCandidates, getDiagnostics, getHardwareSpecs, getHealth, getTelemetry, getBackendOptions, getBackendStatus, listGeneratedOutputs, stopServer } from "./services/api"; import "./App.css"; @@ -476,6 +477,14 @@ function App() { />
+
+ +
+
Image Generator
+
setActiveTab("chat")} + > + + Text Chat +
+
setActiveTab("models")} diff --git a/app/frontend/src/components/TextChat.jsx b/app/frontend/src/components/TextChat.jsx new file mode 100644 index 0000000..ac5f4e1 --- /dev/null +++ b/app/frontend/src/components/TextChat.jsx @@ -0,0 +1,271 @@ +import React, { useCallback, useEffect, useRef, useState } from "react"; +import { Bot, Download, LoaderCircle, MessageSquare, Play, Send, Square, Trash2, Upload } from "lucide-react"; +import { + chatWithLlm, + deleteLlmModel, + downloadLlmModel, + getDownloadProgress, + getLlmStatus, + importLlmModel, + listLlmModels, + startLlm, + stopLlm, +} from "../services/api"; + +const RECOMMENDED_MODELS = [ + { + name: "Qwen2.5 Coder 0.5B Instruct Q4_K_M", + size: "491 MB", + url: "https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct-GGUF/resolve/main/qwen2.5-coder-0.5b-instruct-q4_k_m.gguf", + }, + { + name: "SmolLM2 1.7B Instruct Q4_K_M", + size: "1.1 GB", + url: "https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B-Instruct-GGUF/resolve/main/smollm2-1.7b-instruct-q4_k_m.gguf", + }, +]; + +function TextChat({ specs, showAlert, showConfirm }) { + const [models, setModels] = useState([]); + const [status, setStatus] = useState({ ready: false, running: false, settings: {} }); + const [selectedModel, setSelectedModel] = useState(""); + const [messages, setMessages] = useState([]); + const [input, setInput] = useState(""); + const [systemPrompt, setSystemPrompt] = useState("You are a helpful local AI assistant."); + const [isBusy, setIsBusy] = useState(false); + const [download, setDownload] = useState(null); + const [customUrl, setCustomUrl] = useState(""); + const [importProgress, setImportProgress] = useState(null); + const fileInputRef = useRef(null); + const bottomRef = useRef(null); + const completedDownloadRef = useRef(""); + + const refresh = useCallback(async () => { + const [nextModels, nextStatus] = await Promise.all([listLlmModels(), getLlmStatus()]); + setModels(nextModels); + setStatus(nextStatus); + const active = nextStatus.settings?.model; + setSelectedModel((current) => active || current || nextModels[0]?.filename || ""); + }, []); + + useEffect(() => { + refresh().catch(() => {}); + const timer = setInterval(() => { + getLlmStatus().then(setStatus).catch(() => {}); + getDownloadProgress().then((state) => { + if (state.kind === "text" && (state.active || state.error || state.progress === 100)) { + setDownload(state); + const completionKey = `${state.filename || ""}:${state.downloadedBytes || 0}`; + if (!state.active && !state.error && completedDownloadRef.current !== completionKey) { + completedDownloadRef.current = completionKey; + refresh().catch(() => {}); + } + } + }).catch(() => {}); + }, 1500); + return () => clearInterval(timer); + }, [refresh]); + + useEffect(() => { + bottomRef.current?.scrollIntoView({ behavior: "smooth" }); + }, [messages, isBusy]); + + const loadModel = async () => { + if (!selectedModel || isBusy) return; + setIsBusy(true); + try { + const result = await startLlm(selectedModel, { + threads: specs.cpu_cores_physical || 4, + contextSize: 4096, + gpuLayers: -1, + }); + setStatus({ ...status, ...result, ready: true, running: true, settings: result.settings }); + } catch (err) { + showAlert({ title: "Text Model Load Failed", message: err.message, danger: true }); + } finally { + setIsBusy(false); + } + }; + + const unloadModel = async () => { + setIsBusy(true); + try { + await stopLlm(); + setStatus((current) => ({ ...current, ready: false, running: false })); + } finally { + setIsBusy(false); + } + }; + + const sendMessage = async () => { + const text = input.trim(); + if (!text || isBusy || !status.ready) return; + const nextMessages = [...messages, { role: "user", content: text }]; + setMessages(nextMessages); + setInput(""); + setIsBusy(true); + try { + const requestMessages = [ + ...(systemPrompt.trim() ? [{ role: "system", content: systemPrompt.trim() }] : []), + ...nextMessages, + ]; + const content = await chatWithLlm(requestMessages, { temperature: 0.7, maxTokens: 768 }); + setMessages([...nextMessages, { role: "assistant", content }]); + } catch (err) { + setMessages([...nextMessages, { role: "assistant", content: `Error: ${err.message}`, error: true }]); + } finally { + setIsBusy(false); + } + }; + + const startDownload = async (url) => { + if (!url || download?.active) return; + try { + const result = await downloadLlmModel(url); + setDownload({ active: true, filename: result.filename, progress: 0, kind: "text" }); + setCustomUrl(""); + } catch (err) { + showAlert({ title: "Text Model Download Failed", message: err.message, danger: true }); + } + }; + + const importFile = async (event) => { + const file = event.target.files?.[0]; + event.target.value = ""; + if (!file) return; + if (!file.name.toLowerCase().endsWith(".gguf")) { + showAlert({ title: "Unsupported File", message: "Text models must use the .gguf format.", danger: true }); + return; + } + try { + await importLlmModel(file, (progress) => setImportProgress(progress)); + setImportProgress(null); + await refresh(); + setSelectedModel(file.name); + } catch (err) { + setImportProgress(null); + showAlert({ title: "Text Model Import Failed", message: err.message, danger: true }); + } + }; + + const removeModel = async (filename) => { + const confirmed = await showConfirm({ + title: "Delete Text Model?", + message: `Delete "${filename}" from app/llm-models?`, + confirmLabel: "Delete", + danger: true, + }); + if (!confirmed) return; + await deleteLlmModel(filename); + if (selectedModel === filename) setSelectedModel(""); + await refresh(); + }; + + return ( +
+
+
+
+

Text Chat

+

Private chat powered by llama.cpp and local GGUF models.

+
+ + {status.ready ? `${status.settings?.backendMode || status.backendMode || "llama.cpp"} ready` : status.backendInstalled ? "Backend installed" : "Run setup to install llama.cpp"} + +
+ +
+ {messages.length === 0 && ( +
+ +

Local text generation

+

Choose a GGUF model, load it, and start chatting. Loading text automatically unloads the image engine.

+
+ )} + {messages.map((message, index) => ( +
+ {message.role === "user" ? "You" : "Local AI"} +
{message.content}
+
+ ))} + {isBusy && status.ready &&
Generating...
} +
+
+ +
+