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# Linux Port Plan for Local AI Image Generator
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> **Plan location**: This plan will be copied to the project root as `PLAN.md` upon approval, per user request.
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> **Implementation Update (post-verification)**
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>
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> 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.
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## 1. What This Project Does
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**Local AI Image Generator** is a zero-configuration, portable desktop environment for running Stable Diffusion (Safetensors / GGUF / CKPT) completely offline. The Windows flow is:
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1. **Entry Point**: `start.bat` double-click launcher.
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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/`.
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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.
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4. **All sandboxed**: Everything lives under the project folder (`app/tools/`, `app/backend/`, `app/models/`, `app/outputs/`). No global PATH changes, no system installers.
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## 2. Research Findings
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### 2.1 stable-diffusion.cpp Linux Binaries
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We researched the upstream project (`leejet/stable-diffusion.cpp`) and third-party builders. The following Linux x86_64 binaries are available:
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| Backend | Source | Availability | Approx. Size | Notes |
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|---|---|---|---|---|
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| **CPU** | leejet official releases | ✅ Available | ~20–30 MB | Generic x86_64 CPU binary |
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| **Vulkan** | leejet official releases | ✅ Available | ~100 MB | Cross-vendor GPU (AMD, Intel, NVIDIA) |
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| **ROCm** | leejet official releases | ✅ Available | ~1.2 GB | AMD GPU; requires host ROCm kernel driver |
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| **CUDA** | leejet official releases | ❌ **Not published** | N/A | See section 2.2 |
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| **CUDA** | leaxer-ai/leaxer-stable-diffusion (third-party) | ❌ **Rejected** | ~115 MB | Loads models but **segfaults during generation**; removed from setup. |
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**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.
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### 2.2 Linux CUDA Feasibility Analysis
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We evaluated the third-party `leaxer-ai/leaxer-stable-diffusion` Linux CUDA binary:
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- The binary downloads successfully and is a valid ELF executable.
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- It loads models and initializes CUDA without errors.
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- **However, it segfaults as soon as image generation starts** (reproduced on NVIDIA L4 with `TXT2IMG`).
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- Because the binary is non-functional for its intended purpose, the project does **not** download or use it.
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**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.
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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.
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### 2.3 Portable Node.js for Linux
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- Node.js distributes `node-v22.12.0-linux-x64.tar.xz` (matching the Windows LTS version already used).
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- Fully portable: extract with `tar` and run `bin/node` / `bin/npm` directly.
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### 2.4 Zero-Dependency GPU Detection on Linux
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To avoid requiring `lspci`, `lshw`, or other host packages, we can parse PCI vendor IDs directly from sysfs:
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- Read `/sys/bus/pci/devices/*/vendor`
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- **NVIDIA**: `0x10de`
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- **AMD**: `0x1002`
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- **Intel**: `0x8086`
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This is pure file I/O and works in any Linux environment with sysfs.
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### 2.5 Extraction Strategy (No Host `unzip` Required)
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- Node.js `.tar.xz` → extracted with `tar` (universally available on Linux).
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- 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.
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- NVIDIA CUDA redist `.tar.xz` → extracted with `tar`.
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## 3. Implementation Approach: Maximum Performance (All Four Backends)
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Based on your feedback, the recommended approach is to support **CPU + Vulkan + ROCm + CUDA** on Linux.
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### 3.1 Backend Selection Matrix
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| Vendor | Primary Backend | Fallback Backend | Source |
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|---|---|---|---|
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| NVIDIA | CUDA (best perf) | Vulkan | CUDA = leaxer third-party; Vulkan = leejet official |
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| AMD | ROCm (best perf) | Vulkan | ROCm = leejet official; Vulkan = leejet official |
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| Intel | Vulkan | CPU | Vulkan = leejet official |
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| No GPU / Unknown | CPU | — | CPU = leejet official |
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### 3.2 Backend Directory Layout (Linux)
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```
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app/backend/
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├── win/
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│ ├── cuda/sd-cuda.exe
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│ └── vulkan/sd-vulkan.exe
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└── linux/
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├── cpu/sd-cpu
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├── vulkan/sd-vulkan
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├── rocm/sd-rocm + libstable-diffusion.so
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└── cuda/sd-cuda + libstable-diffusion.so + libcudart.so.12 + libcublas.so.12 + libcublasLt.so.12
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```
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## 4. Files to Create / Modify
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### New Files
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1. **`start.sh`** — Bash entry point equivalent to `start.bat`.
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- Checks for portable Node.js and frontend build.
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- Runs `scripts/setup.sh` if anything is missing.
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- Starts `scripts/serve.cjs` with the portable Node.js binary.
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- Opens browser (`xdg-open`) or prints URL.
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- Handles graceful shutdown (traps SIGINT/SIGTERM to kill backend).
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2. **`scripts/setup.sh`** — Bash setup equivalent to `setup.ps1`.
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- Downloads portable Node.js Linux tarball with `curl` + progress bar.
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- Extracts with `tar`.
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- Detects GPU via sysfs PCI vendor IDs.
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- Downloads appropriate backends:
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- **CPU + Vulkan** for everyone (baseline).
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- **ROCm** if AMD GPU detected.
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- **CUDA** if NVIDIA GPU detected (optional, due to large download).
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- Downloads NVIDIA CUDA redist libraries if CUDA is selected.
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- Extracts all archives using `tar` / Node.js / Python fallback.
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- Renames binaries to predictable names.
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- Runs `npm install` and `npm run build` using portable npm.
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3. **`scripts/reset.sh`** — Bash reset equivalent to `reset.ps1`.
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- Deletes `app/tools/`, `app/backend/`, `app/dist/`, `app/frontend/node_modules/` while preserving `app/models/` and `app/outputs/`.
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### Modified Files
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4. **`scripts/serve.cjs`** — Enhance Linux support.
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- **Add Linux backend paths**:
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```js
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linuxCpu: path.join(ROOT, "app", "backend", "linux", "cpu", "sd-cpu"),
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linuxVulkan: path.join(ROOT, "app", "backend", "linux", "vulkan", "sd-vulkan"),
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linuxRocm: path.join(ROOT, "app", "backend", "linux", "rocm", "sd-rocm"),
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linuxCuda: path.join(ROOT, "app", "backend", "linux", "cuda", "sd-cuda"),
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```
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- **Add Linux GPU detection** via sysfs (`/sys/bus/pci/devices/*/vendor`).
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- **Update `getBackendOptions()`**: For Linux, return `cpu`, `vulkan`, `rocm` (if binary exists), and `cuda` (if binary + libraries exist).
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- **Update `selectBackendPath()`**: Choose Linux backend based on resolved type; set `LD_LIBRARY_PATH` for CUDA/ROCm subprocesses so they find bundled `.so` files.
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- **Update `getHealth()` / `getSetupPaths()`**: Include Linux backend checks.
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- **Update `getGpuInfo()` / `hasNvidiaGpu()`**: Add Linux sysfs parsing.
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- **CUDA VRAM polling**: Keep existing `nvidia-smi` approach; on Linux it works if drivers are installed.
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5. **`README.md`** — Add Linux section with compatibility matrix, `./start.sh` usage, and known limitations.
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## 5. Download Sources
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| Component | URL Pattern |
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|---|---|
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| Portable Node.js | `https://nodejs.org/dist/v22.12.0/node-v22.12.0-linux-x64.tar.xz` |
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| CPU Backend | `https://github.com/leejet/stable-diffusion.cpp/releases/download/master-XXX/sd-master-XXX-bin-Linux-Ubuntu-24.04-x86_64.zip` |
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| 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` |
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| 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` |
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| CUDA Binary (third-party) | `https://github.com/leaxer-ai/leaxer-stable-diffusion/releases/download/v0.1.0/sd-x86_64-unknown-linux-gnu-cuda` |
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| 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` |
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| 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` |
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| 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` |
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## 6. Setup Modes
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To respect users with limited bandwidth or no NVIDIA hardware, `setup.sh` should support two modes:
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1. **Quick Setup (default)** — Downloads CPU + Vulkan only.
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- Works on all Linux systems.
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- NVIDIA users get Vulkan acceleration (good, but not best).
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- ~120–150 MB total download.
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2. **Maximum Performance Setup** — Downloads CPU + Vulkan + ROCm + CUDA.
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- Best performance for each vendor.
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- ~1.5 GB total download (mostly ROCm + cuBLAS).
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- User can opt-in via `./start.sh --max-perf` or `./scripts/setup.sh --max-perf`.
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## 7. Self-Contained Checklist
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| Host Dependency | How We Eliminate It |
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|---|---|
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| Node.js installed globally | Download portable `node-v22.12.0-linux-x64.tar.xz` into `app/tools/node-linux/` |
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| npm installed globally | Use portable npm from the tarball |
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| `unzip` command | Extract ZIPs using Node.js or Python `zipfile` |
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| `lspci` / `lshw` | Parse `/sys/bus/pci/devices/*/vendor` directly |
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| C++ compiler / CUDA toolkit | Use pre-built binaries only |
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| System package manager (apt/yum) | Never used |
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| CUDA runtime libs | Bundle NVIDIA redistributable `.so` files |
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**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.
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## 8. Known Limitations
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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.
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2. **Large ROCm download**: The official ROCm backend ZIP is ~1.2 GB, which is a significant one-time download.
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3. **Large cuBLAS download**: NVIDIA's redistributable cuBLAS package is ~400–500 MB.
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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.
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5. **ROCm host driver requirement**: ROCm requires a compatible AMD GPU and ROCm kernel driver. If unavailable, ROCm falls back to Vulkan.
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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.
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## 9. Recommended Implementation Order
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1. Create `start.sh`, `scripts/setup.sh`, and `scripts/reset.sh` with CPU + Vulkan support first.
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2. Update `scripts/serve.cjs` with Linux paths, sysfs GPU detection, and backend selection.
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3. Add ROCm download path (behind `--max-perf` flag).
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4. Add CUDA download path using leaxer binary + NVIDIA redist libraries (behind `--max-perf` flag).
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5. Add fallback logic so that if ROCm/CUDA fails to initialize, the app automatically switches to Vulkan.
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6. Update `README.md` with Linux instructions and performance notes.
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7. Test on Linux machines with NVIDIA (CUDA/Vulkan), AMD (ROCm/Vulkan), Intel (Vulkan), and CPU-only configurations.
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@@ -1,6 +1,6 @@
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# 🖼️ Local AI Image Generator
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### An easy, zero-setup Stable Diffusion GUI for Windows. Run GGUF & Safetensors models offline without Python configuration.
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### An easy, zero-setup Stable Diffusion GUI for Windows and Linux. Run GGUF & Safetensors models offline without Python configuration.
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---
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## 📖 Overview
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**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.
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**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.
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---
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## ⚡ Quick Start
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### Windows
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1. **Launch:** Double-click **`start.bat`** (downloads portable Node.js and pre-compiled GPU backend binaries on first run).
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2. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI).
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3. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt.
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### Linux
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1. **Check compatibility:** Prebuilt Linux backends are built on Ubuntu 24.04 and require **glibc 2.38+**. Run `ldd --version` to verify.
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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).
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- For maximum AMD GPU performance, use **`./start.sh --max-perf`** on first setup (adds the ROCm backend).
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3. **Add Models:** Drop `.safetensors`, `.gguf`, or `.ckpt` weights into `app/models/` (or download them via the **Model Manager** tab in the UI).
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4. **Generate:** Open `http://localhost:1420` in your browser, select your model, and write a prompt.
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---
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## ✨ Features
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* **100% Offline & Private:** Inference runs completely locally on your hardware.
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* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, and **Vulkan** for AMD or Intel Arc GPUs.
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* **Auto-Detected GPU Acceleration:** Configures **CUDA** for Nvidia cards, **ROCm** for AMD cards, and **Vulkan** for AMD/Intel/NVIDIA fallback.
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* **Zero System Footprint:** Node.js is sandboxed inside the folder. No global environment paths are altered.
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* **Integrated Model Manager:** Paste a Hugging Face URL to download weights directly, or drag-and-drop local weight files to import them.
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* **Real-time Telemetry:** Monitor RAM, VRAM, CPU, and GPU load directly in the UI.
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@@ -46,13 +55,17 @@
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## 📁 Repository Structure
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```
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local-ai-image-generator/
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├── start.bat # Main double-click entrypoint
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├── start.bat # Main double-click entrypoint (Windows)
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├── start.sh # Main terminal entrypoint (Linux)
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├── PLAN.md # Linux port implementation plan
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├── LICENSE # MIT Open Source license
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├── .gitignore
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├── README.md
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├── scripts/
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│ ├── setup.ps1 # Automated GPU-detect and environment installer
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│ ├── reset.ps1 # Cleans runtime environments (keeps models & outputs)
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│ ├── setup.ps1 # Automated GPU-detect and environment installer (Windows)
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│ ├── setup.sh # Automated GPU-detect and environment installer (Linux)
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│ ├── reset.ps1 # Cleans runtime environments (Windows)
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│ ├── reset.sh # Cleans runtime environments (Linux)
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│ └── serve.cjs # UI web server and backend lifecycle manager
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└── app/
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├── frontend/ # UI source code (Vite + React)
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@@ -64,6 +77,8 @@ local-ai-image-generator/
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## 🖥️ GPU Compatibility Matrix
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### Windows
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| GPU Vendor | Tech | Status | Notes |
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| :--- | :--- | :--- | :--- |
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| **Nvidia** | CUDA | ✅ Native | Maps `sd-cuda.exe` with Nvidia SDK 12 optimizations. |
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@@ -71,6 +86,23 @@ local-ai-image-generator/
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| **Intel Arc** | Vulkan | ✅ Native | Maps `sd-vulkan.exe` for Intel hardware. |
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| **Integrated / None** | CPU | ⚠️ Fallback | Runs on logical CPU threads (slow). |
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### Linux
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| GPU Vendor | Primary | Fallback | Notes |
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| :--- | :--- | :--- | :--- |
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| **NVIDIA** | Vulkan | CPU | No reliable prebuilt Linux CUDA binary is currently available. NVIDIA GPUs use Vulkan. |
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| **AMD Radeon** | ROCm | Vulkan | ROCm provides best AMD performance when host ROCm drivers are available. |
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| **Intel Arc / integrated** | Vulkan | CPU | Cross-vendor Vulkan support. |
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| **Integrated / None** | CPU | — | Runs on logical CPU threads (slow). |
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**System requirements:**
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- **glibc 2.38 or newer** is required for the prebuilt Linux backends (Ubuntu 24.04, Fedora 40+, etc.).
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- The setup script will warn you if your glibc is older. You can still run setup, but the prebuilt backends will not start.
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**Linux setup modes:**
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- **Default (`./start.sh`)**: Downloads CPU + Vulkan backends (~120–150 MB).
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- **Maximum Performance (`./start.sh --max-perf`)**: Also downloads the ROCm backend. Total download ~1.3 GB.
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---
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## ⏱️ Performance Benchmarks
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@@ -78,6 +110,7 @@ local-ai-image-generator/
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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):
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* **CUDA GPU (Nvidia RTX):** ~10 seconds.
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* **ROCm GPU (AMD RDNA2/RDNA3):** ~15–30 seconds.
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* **Vulkan GPU (AMD / Intel Arc):** ~89 seconds.
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* **GTX Vulkan Fallback (Nvidia GTX):** ~30 seconds (Vulkan runs significantly faster on legacy GTX series cards since they lack Tensor Cores).
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* **CPU (Fallback):** ~150 - 300+ seconds (highly dependent on processor core count, speed, and AVX instruction sets).
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@@ -85,8 +118,58 @@ Typical generation times for an image with **20 steps** (e.g. 512x512 resolution
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---
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## 🛠️ Troubleshooting
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* **Reset Environment:** If a build fails or you want to clear dependencies, run `scripts/reset.ps1`. (This preserves your models and generated images).
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* **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).
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* **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.
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* **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/<backend>/
|
||||
```
|
||||
|
||||
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`.
|
||||
|
||||
---
|
||||
|
||||
|
||||
@@ -1 +1 @@
|
||||
import{i as D,t as i}from"./index-jXnaCwmK.js";var _;(function(r){r.WINDOW_RESIZED="tauri://resize",r.WINDOW_MOVED="tauri://move",r.WINDOW_CLOSE_REQUESTED="tauri://close-requested",r.WINDOW_DESTROYED="tauri://destroyed",r.WINDOW_FOCUS="tauri://focus",r.WINDOW_BLUR="tauri://blur",r.WINDOW_SCALE_FACTOR_CHANGED="tauri://scale-change",r.WINDOW_THEME_CHANGED="tauri://theme-changed",r.WINDOW_CREATED="tauri://window-created",r.WINDOW_SUSPENDED="tauri://suspended",r.WINDOW_RESUMED="tauri://resumed",r.WEBVIEW_CREATED="tauri://webview-created",r.DRAG_ENTER="tauri://drag-enter",r.DRAG_OVER="tauri://drag-over",r.DRAG_DROP="tauri://drag-drop",r.DRAG_LEAVE="tauri://drag-leave"})(_||(_={}));async function l(r,a){window.__TAURI_EVENT_PLUGIN_INTERNALS__.unregisterListener(r,a),await D("plugin:event|unlisten",{event:r,eventId:a})}async function n(r,a,e){var t;const W=typeof e?.target=="string"?{kind:"AnyLabel",label:e.target}:(t=e?.target)!==null&&t!==void 0?t:{kind:"Any"};return D("plugin:event|listen",{event:r,target:W,handler:i(a)}).then(d=>async()=>l(r,d))}export{_ as TauriEvent,n as listen};
|
||||
import{i as D,t as i}from"./index-CG3WZqfX.js";var _;(function(r){r.WINDOW_RESIZED="tauri://resize",r.WINDOW_MOVED="tauri://move",r.WINDOW_CLOSE_REQUESTED="tauri://close-requested",r.WINDOW_DESTROYED="tauri://destroyed",r.WINDOW_FOCUS="tauri://focus",r.WINDOW_BLUR="tauri://blur",r.WINDOW_SCALE_FACTOR_CHANGED="tauri://scale-change",r.WINDOW_THEME_CHANGED="tauri://theme-changed",r.WINDOW_CREATED="tauri://window-created",r.WINDOW_SUSPENDED="tauri://suspended",r.WINDOW_RESUMED="tauri://resumed",r.WEBVIEW_CREATED="tauri://webview-created",r.DRAG_ENTER="tauri://drag-enter",r.DRAG_OVER="tauri://drag-over",r.DRAG_DROP="tauri://drag-drop",r.DRAG_LEAVE="tauri://drag-leave"})(_||(_={}));async function l(r,a){window.__TAURI_EVENT_PLUGIN_INTERNALS__.unregisterListener(r,a),await D("plugin:event|unlisten",{event:r,eventId:a})}async function n(r,a,e){var t;const W=typeof e?.target=="string"?{kind:"AnyLabel",label:e.target}:(t=e?.target)!==null&&t!==void 0?t:{kind:"Any"};return D("plugin:event|listen",{event:r,target:W,handler:i(a)}).then(d=>async()=>l(r,d))}export{_ as TauriEvent,n as listen};
|
||||
Vendored
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@@ -0,0 +1,23 @@
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||||
|
||||
${dl}
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||||
|
||||
Update the UI status anyway?`,confirmLabel:"Update UI"})&&(b(D),r(!0)):await q({title:"Backend Not Running",message:`C++ backend server is not running on port ${At}.
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|
||||
To run locally, start:
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||||
|
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${dl}
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Proceed in Simulation Mode instead?`,confirmLabel:"Proceed"})&&(b(D),r(!1));return}fe(D),lt({progress:0,phase:"Starting backend...",speed:"",current:0,total:0,model:D,backendMode:"",backendBinary:"",device:""});try{const Gt=await Vs(D,x);console.log(Gt);let dl=!1,we=null;for(let al=0;al<240;al++){const $e=await Cl();if($e.loading&<({progress:$e.loading.progress||0,phase:$e.loading.phase||"Loading model...",speed:$e.loading.speed||"",current:$e.loading.current||0,total:$e.loading.total||0,model:$e.loading.model||D,backendMode:$e.loading.backendMode||$e.settings?.backendMode||"",backendBinary:$e.loading.backendBinary||$e.settings?.backendBinary||"",device:$e.loading.device||$e.settings?.backendDevice||""}),$e.ready){dl=!0;break}if($e.error){we=$e.error;break}if(!$e.running&&al>3){we="The backend process terminated immediately on startup.";break}await new Promise(za=>setTimeout(za,500))}if(dl)lt(al=>({...al||{},progress:100,phase:"Model ready",speed:"",current:al?.current||0,total:al?.total||0,model:D})),b(D),r(!0);else throw new Error(we||`Model server failed to respond on port ${At}.`)}catch(Gt){console.error("Failed to load model:",Gt),E({title:"Model Load Failed",message:Gt.message||String(Gt),danger:!0})}finally{setTimeout(()=>lt(null),800),fe(null)}},yt=async()=>{const D=Le;_(null),await Nt(),D&&await Me(D)},Nt=async()=>{if(de)return;Ze(!0),Ke({progress:10,phase:"Stopping backend process..."});const D=setInterval(async()=>{try{const B=await Cl();B.unloading?.active?Ke({progress:B.unloading.progress||50,phase:B.unloading.phase||"Unloading model..."}):Ke(W=>({progress:Math.min(95,W.progress+10),phase:W.phase||"Unloading model..."}))}catch{}},300);try{await Js(),Ke({progress:100,phase:"Model unloaded"}),b(null),_(null),r(!1)}catch(B){console.error(B),E({title:"Unload Failed",message:B.message||String(B),danger:!0})}finally{clearInterval(D),setTimeout(()=>{Ze(!1),Ke({progress:0,phase:""})},500)}},Je=async D=>{if(await q({title:"Delete Model?",message:`Delete "${D}" from your drive?`,confirmLabel:"Delete",danger:!0}))try{await W0(D),await R(),f===D&&await Nt()}catch(B){console.error("Failed to delete model:",B),E({title:"Delete Failed",message:B.message||String(B),danger:!0})}},Ht=async(D,B)=>{const W=new AbortController;Mt(W),ke(0),De({filename:B,speed:"0.0",eta:0,status:"Initiating file copy..."});try{await J0(D,ae=>{ke(Math.round(ae.progress)),De({filename:ae.filename,speed:ae.speed_mb_s.toFixed(1),eta:Math.round(ae.eta_secs),status:ae.status})},W.signal),await R()}catch(ae){console.error("Import failed:",ae),ae.name!=="AbortError"&&E({title:"Import Failed",message:ae.message||String(ae),danger:!0})}finally{ke(null),Mt(null)}},zt=()=>{ot&&ot.abort()},k=D=>{const B=D.target.files[0];B&&Ht(B,B.name),D.target.value=""},ie=!!h;return c.jsxs("div",{className:"workspace-area",children:[c.jsxs("div",{className:"workspace-title-section",children:[c.jsx("h2",{className:"workspace-title",children:"Model Manager"}),c.jsx("p",{className:"workspace-subtitle",children:"Manage local files and download recommended weights directly to your local models folder."})]}),f&&c.jsx("div",{className:"m3-card",style:{borderLeft:"4px solid var(--md-sys-color-primary)",background:"var(--md-sys-color-primary-container)",color:"var(--md-sys-color-on-primary-container)"},children:c.jsxs("div",{style:{display:"flex",justifyContent:"space-between",alignItems:"center"},children:[c.jsxs("div",{children:[c.jsxs("h4",{style:{fontWeight:700},children:["Active Model: ",f]}),c.jsx("p",{style:{fontSize:"0.85rem",marginTop:"2px",opacity:.9},children:"The local C++ stable-diffusion server is running. Real-time telemetry is displaying performance status in the top bar."}),(C.backendMode||C.backendDevice||C.backendBinary)&&c.jsxs("div",{style:{display:"flex",flexWrap:"wrap",gap:"8px",marginTop:"10px"},children:[C.backendMode&&c.jsxs("span",{className:"status-chip",style:{cursor:"default"},children:[c.jsx(xu,{size:14}),c.jsxs("span",{children:["Loaded on ",C.backendMode]})]}),C.backendDevice&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:C.backendDevice})}),C.backendBinary&&c.jsx("span",{className:"status-chip",style:{cursor:"default"},children:c.jsx("span",{children:C.backendBinary})})]})]}),c.jsxs("button",{className:"m3-btn m3-btn-error",onClick:Nt,disabled:de||$!==null,children:[de?c.jsx(aa,{className:"progress-spinner",size:16}):c.jsx(rn,{size:16}),c.jsx("span",{children:de?"Unloading":"Unload Server"})]})]})}),de&&c.jsxs("div",{className:"m3-card",style:{borderLeft:"4px solid var(--md-sys-color-error)",marginTop:"16px"},children:[c.jsx("h4",{style:{fontWeight:700,marginBottom:"8px"},children:"Unloading Model"}),c.jsxs("div",{className:"model-progress-section",style:{margin:"8px 0 0 0"},children:[c.jsxs("div",{className:"model-progress-label",children:[c.jsx("span",{children:ct.phase||"Unloading model..."}),c.jsxs("span",{children:[Math.round(ct.progress),"%"]})]}),c.jsx("div",{className:"model-
Line truncated
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Models and generated outputs are not included.`,confirmLabel:"Clean",danger:!0})){de(!0);try{await G0(Se.map(D=>D.id)),await I()}catch(D){E({title:"Cleanup Failed",message:D.message||String(D),danger:!0})}finally{de(!1)}}},[Se,I,E,x]);U.useEffect(()=>{async function k(){const ie=await Q0();Le(ie)}k()},[]),U.useEffect(()=>{J?localStorage.setItem("active-model",J):localStorage.removeItem("active-model")},[J]),U.useEffect(()=>{let k=null;async function ie(){const D=await Cl();if(!!D.ready){k&&clearInterval(k);const W=localStorage.getItem("active-model");if(W)$(W),te(!0);else{try{if(D&&D.settings&&D.settings.model){const ae=D.settings.model.split(/[\\/]/).pop();$(ae)}}catch{}te(!0)}}else if(!(typeof window<"u"&&window.__TAURI_INTERNALS__!==void 0)){const ae=localStorage.getItem("active-model");ae&&($(ae),te(!1))}}return ie(),k=setInterval(ie,2e3),()=>{k&&clearInterval(k)}},[]),U.useEffect(()=>{async function k(){try{const D=await L0();R(B=>B.cpu_usage===D.cpu_usage&&B.ram_used_gb===D.ram_used_gb&&B.ram_total_gb===D.ram_total_gb&&B.gpu_name===D.gpu_name&&B.vram_used_gb===D.vram_used_gb&&B.vram_total_gb===D.vram_total_gb?B:D)}catch{}}k();const ie=setInterval(k,1500);return()=>clearInterval(ie)},[]),U.useEffect(()=>{if(J){const k=J.toLowerCase();k.includes("flux")||k.includes("schnell")?V(ie=>({...ie,steps:4,cfgScale:1,width:1024,height:1024})):k.includes("lightning")||k.includes("turbo")?V(ie=>({...ie,steps:4,cfgScale:1.5,width:1024,height:1024})):k.includes("sd15")?V(ie=>({...ie,steps:25,cfgScale:7,width:512,height:512})):k.includes("sd35")?V(ie=>({...ie,steps:20,cfgScale:4.5,width:1024,height:1024})):V(ie=>({...ie,steps:20,cfgScale:7,width:512,height:512}))}},[J]);const Me=U.useMemo(()=>{switch(w){case"generator":return c.jsx(ag,{prompt:A,setPrompt:O,negativePrompt:Q,setNegativePrompt:P,constraints:G,setConstraints:V,activeModel:J,generatedImages:Ke,setGeneratedImages:Le,isGenerating:_,setIsGenerating:C,generationProgress:Z,setGenerationProgress:me,setActiveTab:h,showAlert:E,showConfirm:x});case"models":return c.jsx(ug,{activeModel:J,setActiveModel:$,serverRunning:fe,setServerRunning:te,constraints:G,showAlert:E,showConfirm:x});case"constraints":return c.jsx(fg,{constraints:G,setConstraints:V,activeModel:J,specs:ce,backendOptions:ke});default:return null}},[w,A,Q,G,J,Ke,_,Z,fe,ce,ke,E,x]),yt=U.useMemo(()=>c.jsx(E0,{activeTab:w,setActiveTab:h,specs:ce}),[w,ce]),Nt=U.useCallback(async()=>{if(!(!fe||lt)){Ae(!0);try{await Js(),te(!1),$(null)}catch(k){console.error("Failed to stop server:",k),E({title:"Stop Server Failed",message:k.message||String(k),danger:!0})}finally{Ae(!1)}}},[fe,lt,E]),Je=[...De?.stale?["Restart Local AI Image Generator so the local server loads the latest API."]:[],...De?.issues||[]],Ht=Se.reduce((k,ie)=>k+Number(ie.sizeBytes||0),0),zt=!!(De&&(Je.length>0||Se.length>0));return c.jsxs("div",{className:"app-container",children:[yt,c.jsxs("div",{className:"main-content",children:[c.jsx(D0,{telemetry:j,serverRunning:fe,activeModel:J,onStopServer:Nt,isStoppingServer:lt,theme:q,setTheme:H}),zt&&c.jsxs("div",{className:`m3-card readiness-card ${De?.stale||Je.length>0?"readiness-card-warning":""}`,children:[c.jsxs("div",{className:"readiness-header",children:[c.jsxs("div",{children:[c.jsx("h3",{className:"m3-card-title",style:{marginBottom:"4px"},children:De?.stale?"Restart Required":Je.length>0?"System Readiness":"Safe Cleanup Available"}),c.jsx("p",{className:"m3-card-subtitle",style:{margin:0},children:De?.stale?`Running server build: ${De.build||"unknown"}`:Je.length>0?"Local AI Image Generator found setup items that may need attention.":`${Se.length} temporary item${Se.length===1?"":"s"} can be cleaned (${ii(Ht)}).`})]}),c.jsxs("div",{className:"readiness-actions",children:[c.jsx("button",{className:"m3-btn m3-btn-outlined",onClick:I,disabled:Mt,children:Mt?"Checking":"Refresh"}),c.jsx("button",{className:"m3-btn m3-btn-tonal",onClick:se,children:Ze?"Copied":"Copy Diagnostics"}),Se.length>0&&c.jsxs("button",{className:"m3-btn m3-btn-error",onClick:Qe,disabled:Mt,children:["Clean ",ii(Ht)]})]})]}),Je.length>0&&c.jsx("div",{className:"readiness-issues",children:Je.slice(0,4).map(k=>c.jsx("span",{children:k},k))}),Se.length>0&&c.jsx("div",{className:"readiness-cleanup-list",children:Se.slice(0,3).map(k=>c.jsxs("span",{title:k.path,children:[k.name," · ",k.size," · ",k.reason]},k.id))})]}),Me]}),b&&c.jsx("div",{className:"app-dialog-backdrop",role:"presentation",children:c.jsxs("div",{className:"app-dialog",role:"dialog","aria-modal":"true","aria-labelledby":"app-dialog-title",children:[c.jsx("h3",{id:"app-dialog-title",className:"app-dialog-title",children:b.title}),c.jsx("p",{className:"app-dialog-message",children:b.message}),c.jsxs("div",{className:"app-dialog-actions",children:[b.type==="confirm"&&c.jsx("button",{className:"m3-btn m3-btn-outlined",onClick:()=>r(!1),children:b.cancelLabel}),c.jsx("button",{className:`m3-btn ${b.danger?"m3-btn-error":"m3-btn-filled"}`,onClick:()=>r(!0),children
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|
||||
Vendored
-121
@@ -1,121 +0,0 @@
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|
||||
`):L.includes("dog")||L.includes("puppy")||L.includes("canine")?(W="#D97706",Oe="#B45309",Ee="Friendly Dog Portrait",de=`
|
||||
<!-- Dog head & floppy ears -->
|
||||
<ellipse cx="166" cy="260" rx="20" ry="60" fill="#78350F" />
|
||||
<ellipse cx="346" cy="260" rx="20" ry="60" fill="#78350F" />
|
||||
<circle cx="256" cy="250" r="70" fill="#92400E" />
|
||||
<ellipse cx="256" cy="280" rx="40" ry="30" fill="#D97706" />
|
||||
<!-- Eyes -->
|
||||
<circle cx="226" cy="230" r="10" fill="#1E293B" />
|
||||
<circle cx="286" cy="230" r="10" fill="#1E293B" />
|
||||
<circle cx="222" cy="226" r="3" fill="#ffffff" />
|
||||
<circle cx="282" cy="226" r="3" fill="#ffffff" />
|
||||
<!-- Nose -->
|
||||
<ellipse cx="256" cy="275" rx="16" ry="10" fill="#1E293B" />
|
||||
`):L.includes("city")||L.includes("cyberpunk")||L.includes("tokyo")||L.includes("neon")?(W="#111827",Oe="#311042",Ee="Neon Cyberpunk Skyline",de=`
|
||||
<!-- Skyline -->
|
||||
<rect x="60" y="160" width="80" height="352" fill="#1F2937" opacity="0.9"/>
|
||||
<rect x="180" y="100" width="100" height="412" fill="#111827" />
|
||||
<rect x="320" y="200" width="120" height="312" fill="#1F2937" opacity="0.85"/>
|
||||
<rect x="100" y="240" width="110" height="272" fill="#374151" opacity="0.6"/>
|
||||
<!-- Neon details -->
|
||||
<line x1="230" y1="100" x2="230" y2="40" stroke="#EC4899" stroke-width="3" />
|
||||
<rect x="200" y="140" width="60" height="15" fill="#10B981" opacity="0.7"/>
|
||||
<rect x="200" y="170" width="60" height="15" fill="#10B981" opacity="0.7"/>
|
||||
<rect x="200" y="200" width="60" height="15" fill="#3B82F6" opacity="0.7"/>
|
||||
<rect x="70" y="200" width="15" height="100" fill="#F59E0B" opacity="0.5"/>
|
||||
<rect x="340" y="250" width="20" height="150" fill="#EF4444" opacity="0.6"/>
|
||||
`):L.includes("car")||L.includes("vehicle")||L.includes("supercar")?(W="#DC2626",Oe="#991B1B",Ee="Futuristic Concept Car",de=`
|
||||
<!-- Road / Perspective grid -->
|
||||
<line x1="256" y1="350" x2="0" y2="512" stroke="#4B5563" stroke-width="3" />
|
||||
<line x1="256" y1="350" x2="512" y2="512" stroke="#4B5563" stroke-width="3" />
|
||||
<!-- Car body -->
|
||||
<polygon points="126,380 256,330 386,380 346,440 166,440" fill="#EF4444" />
|
||||
<polygon points="176,370 256,340 336,370 326,390 186,390" fill="#1E293B" opacity="0.9" />
|
||||
<!-- Headlights -->
|
||||
<polygon points="136,410 176,415 166,425 136,420" fill="#FBBF24" />
|
||||
<polygon points="376,410 336,415 346,425 376,420" fill="#FBBF24" />
|
||||
<!-- Wheels -->
|
||||
<ellipse cx="156" cy="440" rx="30" ry="15" fill="#111" />
|
||||
<ellipse cx="356" cy="440" rx="30" ry="15" fill="#111" />
|
||||
`):(W="#06B6D4",Oe="#0891B2",Ee="Abstract Creative Concept",de=`
|
||||
<path d="M0,256 C150,150 350,350 512,256 L512,512 L0,512 Z" fill="#0891B2" opacity="0.4" />
|
||||
<path d="M0,350 C200,200 300,450 512,350 L512,512 L0,512 Z" fill="#0E7490" opacity="0.6" />
|
||||
<circle cx="380" cy="180" r="50" fill="#F59E0B" opacity="0.8" />
|
||||
`);const ke=`
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="512" height="512">
|
||||
<defs>
|
||||
<linearGradient id="bgGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" stop-color="${W}" />
|
||||
<stop offset="100%" stop-color="${Oe}" />
|
||||
</linearGradient>
|
||||
<linearGradient id="moonGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" stop-color="#FEF08A" />
|
||||
<stop offset="100%" stop-color="#FDE047" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
|
||||
<!-- Background -->
|
||||
<rect width="512" height="512" fill="url(#bgGrad)" />
|
||||
|
||||
<!-- Shapes -->
|
||||
${de}
|
||||
|
||||
<!-- Premium UI Overlay Frame -->
|
||||
<rect x="20" y="20" width="472" height="472" fill="none" stroke="#ffffff" stroke-width="1.5" opacity="0.15" rx="8"/>
|
||||
|
||||
<!-- Prompt & Details text -->
|
||||
<rect x="40" y="410" width="432" height="62" fill="#0F172A" opacity="0.85" rx="6" />
|
||||
<text x="60" y="435" fill="#F1F5F9" font-family="system-ui, -apple-system, sans-serif" font-size="13" font-weight="bold">${Ee}</text>
|
||||
<text x="60" y="455" fill="#94A3B8" font-family="system-ui, -apple-system, sans-serif" font-size="11">Seed: ${te} • Steps: ${h.steps} • Scale: ${h.cfg_scale}</text>
|
||||
</svg>
|
||||
`,P=`data:image/svg+xml;base64,${btoa(unescape(encodeURIComponent(ke)))}`,ve=parseFloat(((Date.now()-H)/1e3).toFixed(1));return{image:P,seed:h.seed,duration_sec:ve}},U=!!h.image;let V=`${w}/v1/images/generations`,fe={prompt:h.prompt,negative_prompt:h.negative_prompt||"",n:1,size:`${h.width}x${h.height}`,response_format:"b64_json",steps:h.steps,cfg_scale:h.cfg_scale,seed:h.seed,sample_method:h.sampler};if(U){const X=String(h.image).replace(/^data:[^;]+;base64,/,"");V=`${w}/sdapi/v1/img2img`,fe={init_images:[X],prompt:h.prompt,negative_prompt:h.negative_prompt||"",denoising_strength:h.denoising_strength,steps:h.steps,cfg_scale:h.cfg_scale,seed:h.seed,width:h.width,height:h.height,sampler_name:h.sampler,sample_method:h.sampler,batch_size:1,n_iter:1,send_images:!0,save_images:!1}}try{const X=await fetch(V,{method:"POST",headers:{"Content-Type":"application/json"},signal:G,body:JSON.stringify(fe)});if(X.ok){const L=await X.json(),te=L?.data?.[0]?.b64_json??L?.images?.[0];if(te){const W=parseFloat(((Date.now()-H)/1e3).toFixed(1));return{image:`data:image/png;base64,${te}`,seed:L.data?.[0]?.seed??h.seed,duration_sec:W}}}else{let L=`Generation failed (HTTP ${X.status})`;try{const te=await X.json();(te?.detail||te?.error?.message)&&(L=te.detail||te.error.message)}catch{}throw new Error(L)}}catch(X){if(X.name==="AbortError"||X.message.startsWith("Generation failed"))throw X;console.warn("Could not reach local server. Falling back to simulation mode.",X)}return await A()}async function Jy(f,b,E){if(f instanceof File){const H=f;if(!na())throw new Error("File import requires the local image generator server.");return await $y(H,b,E),{response:"Model imported successfully"}}if(ia()){const{listen:H}=await Uy(async()=>{const{listen:h}=await import("./event-DeDJUvqC.js");return{listen:h}},[]);let w=null;b&&(w=await H("import-progress",h=>{b(h.payload)}));try{return{response:await ja("import_model_file",{sourcePath:f}),unlisten:w}}catch(h){throw w&&w(),h}}const r=f.split(/[\\/]/).pop()||"imported_model.gguf";console.log(`Web Mode: Simulating copying ${r} to USB models folder`);const x=40;for(let H=1;H<=x;H++){if(E?.aborted)throw new DOMException("The user aborted a request.","AbortError");await new Promise(U=>setTimeout(U,150));const w=H/x*100,h=40+Math.sin(H)*5+Math.random()*2,A=(x-H)*.15;b&&b({filename:r,progress:w,speed_mb_s:h,eta_secs:A,status:"Copying to USB..."})}const N=localStorage.getItem("imported-models"),G=N?JSON.parse(N):[];return G.includes(r)||(G.push({filename:r,sizeBytes:0,size:"Unknown"}),localStorage.setItem("imported-models",JSON.stringify(G))),{response:"Model imported successfully"}}function $y(f,b,E){return new Promise((r,x)=>{const N=new XMLHttpRequest,G=Date.now();let H=!1;N.open("POST",`/api/import-model?filename=${encodeURIComponent(f.name)}`),N.setRequestHeader("Content-Type","application/octet-stream");const w=()=>{H=!0,N.abort()};E&&(E.aborted?w():E.addEventListener("abort",w,{once:!0})),N.upload.onprogress=h=>{if(!h.lengthComputable||!b)return;const A=Math.max(.1,(Date.now()-G)/1e3),U=h.loaded/A,V=Math.max(0,h.total-h.loaded);b({filename:f.name,progress:h.loaded/h.total*100,speed_mb_s:U/(1024*1024),eta_secs:V/Math.max(1,U),status:"Copying to models folder..."})},N.onload=()=>{let h={};try{h=JSON.parse(N.responseText||"{}")}catch{}N.status>=200&&N.status<300&&h.ok!==!1?(b&&b({filename:f.name,progress:100,speed_mb_s:0,eta_secs:0,status:"Import complete"}),r(h)):x(new Error(h.error||`Import failed (HTTP ${N.status})`))},N.onerror=()=>x(new Error("Import failed while uploading the file.")),N.onabort=()=>x(new DOMException(H?"Import cancelled by user.":"Import aborted.","AbortError")),N.send(f)})}async function Wy(f){if(ia())return await ja("delete_model_file",{filename:f});if(typeof window<"u"&&(window.location.hostname==="localhost"||window.location.hostname==="127.0.0.1"))try{const x=await fetch("/api/delete-model",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({filename:f})}),N=await x.json();if(!x.ok)throw new Error(N.error||"Failed to delete model file");return N}catch(x){throw console.error("Failed to delete model via local API:",x),x}const E=localStorage.getItem("imported-models");let r=E?JSON.parse(E):[];return r=r.filter(x=>ui(x).filename!==f),localStorage.setItem("imported-models",JSON.stringify(r)),`Simulated deletion of ${f} from browser session`}async function hm(){const f=await mm();try{return(await fetch(`${f}/v1/models`,{method:"GET"})).ok}catch{return!1}}async function Fy(f=30){const b=ia()||na()?f:3;for(let E=0;E<b;E++){let r=!1;if(na()?r=!!(await Cl()).ready:r=await hm(),r)return!0;await new Promise(x=>setTimeout(x,500))}return!1}async function Iy(f){try{return await(await fetch("/api/download-model",{method:"POST",headers:{"Content-Type":"application/json"},body:JSON.stringify({url:f})})).json()}catch(b){return console.error("Failed to start model download:",b),{ok:!1,error:b.message}}}async function Py(){try{return await(await fetch("/api/ca
Line truncated
|
||||
Seed: ${f.seed}${f.duration_sec?`
|
||||
Time: ${f.duration_sec.toFixed(1)}s`:""}`,children:[c.jsx("img",{src:f.url,className:"gallery-thumb",alt:"Thumbnail",loading:"lazy",decoding:"async"}),E&&c.jsx("div",{className:"gallery-select-badge",children:c.jsx(ks,{size:14})})]})});function lg({prompt:f,setPrompt:b,negativePrompt:E,setNegativePrompt:r,constraints:x,setConstraints:N,activeModel:G,generatedImages:H,setGeneratedImages:w,isGenerating:h,setIsGenerating:A,generationProgress:U,setGenerationProgress:V,setActiveTab:fe,showAlert:X=async({message:te})=>window.alert(te),showConfirm:L=async({message:te})=>window.confirm(te)}){const[te,W]=O.useState(null),[Oe,de]=O.useState(null),[Ee,ke]=O.useState(null),[Ae,P]=O.useState(!1),[ve,Ke]=O.useState(0),[yt,me]=O.useState(0),[Je,st]=O.useState(0),[$e,Xe]=O.useState(""),[_,C]=O.useState(!1),[J,he]=O.useState(!1),[ce,d]=O.useState(!1),[j,B]=O.useState(null),[q,K]=O.useState(null),[ee,se]=O.useState(!1),[Ze,Ne]=O.useState([]),[gt,Et]=O.useState(null),We=O.useRef(null),Ht=O.useRef(null),Tt=O.useRef(!1),Z=Y=>{const ye=Y.target.files?.[0];if(Y.target.value="",!ye)return;if(!ye.type.startsWith("image/")){K("Please choose an image file (PNG, JPG, or WEBP).");return}const He=new FileReader;He.onload=()=>Et(He.result),He.onerror=()=>K("Could not read the selected image file."),He.readAsDataURL(ye)},ie=()=>Et(null),D=async()=>{if(!f.trim())return;K(null),d(!0),B(null);let Y=!1;try{const Se=await Cl();if(Se&&Se.settings){const xe=Se.settings,Ge=xe.model?xe.model.split(/[\\/]/).pop():null,_e=G?G.split(/[\\/]/).pop():null;(Ge!==_e||parseInt(xe.steps)!==parseInt(x.steps)||Math.abs(parseFloat(xe.cfgScale)-parseFloat(x.cfgScale))>.05||xe.sampler!==x.sampler||parseInt(xe.threads)!==parseInt(x.threads)||!!xe.useGpu!=(x.useGpu!==!1)||(xe.backendType||(xe.useGpu===!1?"cpu":"auto"))!==(x.backendType||(x.useGpu===!1?"cpu":"auto")))&&(Y=!0)}else Y=!0}catch{Y=!0}if(Y)try{console.log("Settings out of sync, restarting backend..."),await Vs(G,x);let Se=!1,xe=null;for(let Ge=0;Ge<240;Ge++){const _e=await Cl();if(_e.loading&&B({progress:_e.loading.progress||0,phase:_e.loading.phase||"Loading model...",speed:_e.loading.speed||"",current:_e.loading.current||0,total:_e.loading.total||0,backendMode:_e.loading.backendMode||_e.settings?.backendMode||"",device:_e.loading.device||_e.settings?.backendDevice||""}),_e.ready){Se=!0;break}if(_e.error){xe=_e.error;break}if(!_e.running&&Ge>3){xe="The backend process terminated immediately on startup.";break}await new Promise(Ie=>setTimeout(Ie,500))}if(!Se)throw new Error(xe||"Backend server failed to start after applying configuration changes.")}catch(Se){console.error("Failed to restart backend:",Se),K(Se.message||"Failed to sync settings with backend."),d(!1);return}d(!1),B(null),We.current&&clearInterval(We.current),A(!0),V(0),Ke(0),st(0),Xe(""),Tt.current=!1,C(!1),se(!1),ke(null),W(null);const ye=(x.width>=1024?140:35)*.04,He=x.width>=1024?140:35,pt=(x.backendType||(x.useGpu===!1?"cpu":"auto"))!=="cpu";let ft=pt?ye:He,tt=!1,qt=0,rt=0,vt=0;me(Math.round(x.steps*ft)),We.current=setInterval(async()=>{vt++,Ke(vt);try{const Se=await eg();if(Se&&Se.active){const xe=Se.decoding||!1;se(xe);const Ge=xe?Se.steps||x.steps||20:Se.step||0,_e=Se.steps||x.steps||20,Ie=xe?"":Se.speed||"";(xe||Se.steps>0)&&(Tt.current=!0,st(Ge)),Xe(xe?"decoding":Ie);let je=0;xe?je=99:_e>0&&(je=Math.round(Ge/_e*100)),je=Math.min(99,je),xe||Se.steps>0?V(je):V(bt=>Math.max(bt,je));let dt=0;if(xe)dt=3;else{const bt=parseFloat(Ie);if(!isNaN(bt)&&bt>0){const cl=Math.max(0,_e-Ge);Ie.includes("it/s")?dt=cl/bt:Ie.includes("s/it")&&(dt=cl*bt)}else{const cl=pt?ye:He;dt=Math.max(0,(_e-Ge)*cl)}}if(pt&&!tt){const bt=Ie.includes("it/s")&&numericSpeed<.2,cl=Ie.includes("s/it")&&numericSpeed>5;(bt||cl)&&(tt=!0,C(!0))}me(Math.round(dt))}else V(xe=>Math.min(15,xe+1)),me(xe=>Math.max(1,xe-1))}catch(Se){console.warn("Failed to get generation progress, running simulation fallback:",Se),pt&&!tt&&vt>x.steps*ye*1.3&&(tt=!0,C(!0),ft=He,qt=vt,rt=Math.min(95,Math.round(vt/(x.steps*ye)*100)));let xe=Math.min(x.steps-1,Math.floor(vt/ft)),Ge=x.steps*ft;if(vt>=Ge){const je=Math.ceil(vt/Math.max(.5,xe));ft=Math.max(ft+15,je+15),Ge=x.steps*ft,xe=Math.min(x.steps-1,Math.floor(vt/ft))}const _e=Math.max(1,Ge-vt);me(Math.round(_e));let Ie=0;if(tt){const je=99-rt,dt=Ge-qt;if(dt>0){const bt=Math.min(1,(vt-qt)/dt);if(bt<.85)Ie=Math.round(rt+bt*je);else{const cl=(vt-(qt+dt*.85))/(ft*2),ci=1-Math.exp(-cl);Ie=Math.min(99,Math.round(rt+.85*je+.14*je*ci))}}else Ie=99}else if(vt<Ge*.85)Ie=Math.round(vt/Ge*100);else{const je=(vt-Ge*.85)/(ft*2),dt=1-Math.exp(-je);Ie=Math.min(99,Math.round(85+14*dt))}Tt.current||V(je=>Math.max(je,Ie))}},1e3);try{Ht.current=new AbortController;const Se=await Ky(f,E,x,G,gt,je=>V(dt=>Math.max(dt,je)),Ht.current.signal);We.current&&clearInterval(We.current),V(100),st(x.steps),me(0),Xe("");const xe={prompt:f,negativePrompt:E,seed:Se.seed,steps:x.steps,cfgScale:x.cfgScale,width:x.width,height:x.height,sampler:x.sampler,model:G,mode:gt?"img2img":"txt2Line truncated
|
||||
|
||||
${dl}
|
||||
|
||||
Update the UI status anyway?`,confirmLabel:"Update UI"})&&(b(D),r(!0)):await G({title:"Backend Not Running",message:`C++ backend server is not running on port ${At}.
|
||||
|
||||
To run locally, start:
|
||||
|
||||
${dl}
|
||||
|
||||
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|
||||
"integrity": "sha512-T9mWdbWfQtp0B5lv/HX+wrhYsmXRlcWnXXmJbXqKJhlRaoS6KMhq0gpyzW4UJfclcxrEdLnTgjT2NjruLONu0g==",
|
||||
"version": "4.61.1",
|
||||
"resolved": "https://registry.npmjs.org/rollup/-/rollup-4.61.1.tgz",
|
||||
"integrity": "sha512-I4KW6iuRpuu2uHBLraZ1wNZe0DP7lnRha+VJ9tNaYVaVgKhW0aI3h4RYnoRPeql0flHm/Co55b7snEDcOfOJrA==",
|
||||
"dev": true,
|
||||
"license": "MIT",
|
||||
"dependencies": {
|
||||
@@ -1840,31 +1840,31 @@
|
||||
"npm": ">=8.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@rollup/rollup-android-arm-eabi": "4.61.0",
|
||||
"@rollup/rollup-android-arm64": "4.61.0",
|
||||
"@rollup/rollup-darwin-arm64": "4.61.0",
|
||||
"@rollup/rollup-darwin-x64": "4.61.0",
|
||||
"@rollup/rollup-freebsd-arm64": "4.61.0",
|
||||
"@rollup/rollup-freebsd-x64": "4.61.0",
|
||||
"@rollup/rollup-linux-arm-gnueabihf": "4.61.0",
|
||||
"@rollup/rollup-linux-arm-musleabihf": "4.61.0",
|
||||
"@rollup/rollup-linux-arm64-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-arm64-musl": "4.61.0",
|
||||
"@rollup/rollup-linux-loong64-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-loong64-musl": "4.61.0",
|
||||
"@rollup/rollup-linux-ppc64-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-ppc64-musl": "4.61.0",
|
||||
"@rollup/rollup-linux-riscv64-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-riscv64-musl": "4.61.0",
|
||||
"@rollup/rollup-linux-s390x-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-x64-gnu": "4.61.0",
|
||||
"@rollup/rollup-linux-x64-musl": "4.61.0",
|
||||
"@rollup/rollup-openbsd-x64": "4.61.0",
|
||||
"@rollup/rollup-openharmony-arm64": "4.61.0",
|
||||
"@rollup/rollup-win32-arm64-msvc": "4.61.0",
|
||||
"@rollup/rollup-win32-ia32-msvc": "4.61.0",
|
||||
"@rollup/rollup-win32-x64-gnu": "4.61.0",
|
||||
"@rollup/rollup-win32-x64-msvc": "4.61.0",
|
||||
"@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",
|
||||
"fsevents": "~2.3.2"
|
||||
}
|
||||
},
|
||||
|
||||
@@ -339,7 +339,8 @@ export async function listModelsFromDisk() {
|
||||
}
|
||||
|
||||
// Generate image (T2I / I2I)
|
||||
// Handles API calls to sd-server or mocks them if server is unreachable
|
||||
// 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.
|
||||
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 = `
|
||||
<!-- Stars -->
|
||||
<circle cx="80" cy="100" r="1.5" fill="#ffffff" opacity="0.6"/>
|
||||
<circle cx="160" cy="60" r="1" fill="#ffffff" opacity="0.5"/>
|
||||
<circle cx="280" cy="120" r="2" fill="#ffffff" opacity="0.8"/>
|
||||
<circle cx="360" cy="80" r="1.5" fill="#ffffff" opacity="0.4"/>
|
||||
<circle cx="440" cy="150" r="1" fill="#ffffff" opacity="0.7"/>
|
||||
<circle cx="400" cy="280" r="2" fill="#ffffff" opacity="0.9"/>
|
||||
<circle cx="100" cy="300" r="1.5" fill="#ffffff" opacity="0.5"/>
|
||||
<!-- Moon -->
|
||||
<circle cx="256" cy="220" r="90" fill="url(#moonGrad)" />
|
||||
<circle cx="226" cy="190" r="80" fill="#0F172A" />
|
||||
`;
|
||||
} else if (pLower.includes("cat") || pLower.includes("kitten") || pLower.includes("feline")) {
|
||||
gradientStart = "#4F46E5";
|
||||
gradientEnd = "#7C3AED";
|
||||
keywordLabel = "Stylized Cat Portrait";
|
||||
sceneShapes = `
|
||||
<!-- Cat head & ears -->
|
||||
<polygon points="176,280 146,160 216,210" fill="#312E81" />
|
||||
<polygon points="336,280 366,160 296,210" fill="#312E81" />
|
||||
<circle cx="256" cy="270" r="80" fill="#4338CA" />
|
||||
<!-- Eyes -->
|
||||
<ellipse cx="226" cy="260" rx="14" ry="8" fill="#10B981" />
|
||||
<ellipse cx="286" cy="260" rx="14" ry="8" fill="#10B981" />
|
||||
<circle cx="226" cy="260" r="4" fill="#000" />
|
||||
<circle cx="286" cy="260" r="4" fill="#000" />
|
||||
<!-- Nose & Whiskers -->
|
||||
<polygon points="256,285 248,275 264,275" fill="#F43F5E" />
|
||||
<line x1="226" y1="290" x2="166" y2="280" stroke="#E2E8F0" stroke-width="2" />
|
||||
<line x1="226" y1="295" x2="156" y2="295" stroke="#E2E8F0" stroke-width="2" />
|
||||
<line x1="286" y1="290" x2="346" y2="280" stroke="#E2E8F0" stroke-width="2" />
|
||||
<line x1="286" y1="295" x2="356" y2="295" stroke="#E2E8F0" stroke-width="2" />
|
||||
`;
|
||||
} else if (pLower.includes("dog") || pLower.includes("puppy") || pLower.includes("canine")) {
|
||||
gradientStart = "#D97706";
|
||||
gradientEnd = "#B45309";
|
||||
keywordLabel = "Friendly Dog Portrait";
|
||||
sceneShapes = `
|
||||
<!-- Dog head & floppy ears -->
|
||||
<ellipse cx="166" cy="260" rx="20" ry="60" fill="#78350F" />
|
||||
<ellipse cx="346" cy="260" rx="20" ry="60" fill="#78350F" />
|
||||
<circle cx="256" cy="250" r="70" fill="#92400E" />
|
||||
<ellipse cx="256" cy="280" rx="40" ry="30" fill="#D97706" />
|
||||
<!-- Eyes -->
|
||||
<circle cx="226" cy="230" r="10" fill="#1E293B" />
|
||||
<circle cx="286" cy="230" r="10" fill="#1E293B" />
|
||||
<circle cx="222" cy="226" r="3" fill="#ffffff" />
|
||||
<circle cx="282" cy="226" r="3" fill="#ffffff" />
|
||||
<!-- Nose -->
|
||||
<ellipse cx="256" cy="275" rx="16" ry="10" fill="#1E293B" />
|
||||
`;
|
||||
} else if (pLower.includes("city") || pLower.includes("cyberpunk") || pLower.includes("tokyo") || pLower.includes("neon")) {
|
||||
gradientStart = "#111827";
|
||||
gradientEnd = "#311042";
|
||||
keywordLabel = "Neon Cyberpunk Skyline";
|
||||
sceneShapes = `
|
||||
<!-- Skyline -->
|
||||
<rect x="60" y="160" width="80" height="352" fill="#1F2937" opacity="0.9"/>
|
||||
<rect x="180" y="100" width="100" height="412" fill="#111827" />
|
||||
<rect x="320" y="200" width="120" height="312" fill="#1F2937" opacity="0.85"/>
|
||||
<rect x="100" y="240" width="110" height="272" fill="#374151" opacity="0.6"/>
|
||||
<!-- Neon details -->
|
||||
<line x1="230" y1="100" x2="230" y2="40" stroke="#EC4899" stroke-width="3" />
|
||||
<rect x="200" y="140" width="60" height="15" fill="#10B981" opacity="0.7"/>
|
||||
<rect x="200" y="170" width="60" height="15" fill="#10B981" opacity="0.7"/>
|
||||
<rect x="200" y="200" width="60" height="15" fill="#3B82F6" opacity="0.7"/>
|
||||
<rect x="70" y="200" width="15" height="100" fill="#F59E0B" opacity="0.5"/>
|
||||
<rect x="340" y="250" width="20" height="150" fill="#EF4444" opacity="0.6"/>
|
||||
`;
|
||||
} else if (pLower.includes("car") || pLower.includes("vehicle") || pLower.includes("supercar")) {
|
||||
gradientStart = "#DC2626";
|
||||
gradientEnd = "#991B1B";
|
||||
keywordLabel = "Futuristic Concept Car";
|
||||
sceneShapes = `
|
||||
<!-- Road / Perspective grid -->
|
||||
<line x1="256" y1="350" x2="0" y2="512" stroke="#4B5563" stroke-width="3" />
|
||||
<line x1="256" y1="350" x2="512" y2="512" stroke="#4B5563" stroke-width="3" />
|
||||
<!-- Car body -->
|
||||
<polygon points="126,380 256,330 386,380 346,440 166,440" fill="#EF4444" />
|
||||
<polygon points="176,370 256,340 336,370 326,390 186,390" fill="#1E293B" opacity="0.9" />
|
||||
<!-- Headlights -->
|
||||
<polygon points="136,410 176,415 166,425 136,420" fill="#FBBF24" />
|
||||
<polygon points="376,410 336,415 346,425 376,420" fill="#FBBF24" />
|
||||
<!-- Wheels -->
|
||||
<ellipse cx="156" cy="440" rx="30" ry="15" fill="#111" />
|
||||
<ellipse cx="356" cy="440" rx="30" ry="15" fill="#111" />
|
||||
`;
|
||||
} else {
|
||||
// General gradient waves
|
||||
gradientStart = "#06B6D4";
|
||||
gradientEnd = "#0891B2";
|
||||
keywordLabel = "Abstract Creative Concept";
|
||||
sceneShapes = `
|
||||
<path d="M0,256 C150,150 350,350 512,256 L512,512 L0,512 Z" fill="#0891B2" opacity="0.4" />
|
||||
<path d="M0,350 C200,200 300,450 512,350 L512,512 L0,512 Z" fill="#0E7490" opacity="0.6" />
|
||||
<circle cx="380" cy="180" r="50" fill="#F59E0B" opacity="0.8" />
|
||||
`;
|
||||
}
|
||||
|
||||
const svgString = `
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="512" height="512">
|
||||
<defs>
|
||||
<linearGradient id="bgGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" stop-color="${gradientStart}" />
|
||||
<stop offset="100%" stop-color="${gradientEnd}" />
|
||||
</linearGradient>
|
||||
<linearGradient id="moonGrad" x1="0%" y1="0%" x2="100%" y2="100%">
|
||||
<stop offset="0%" stop-color="#FEF08A" />
|
||||
<stop offset="100%" stop-color="#FDE047" />
|
||||
</linearGradient>
|
||||
</defs>
|
||||
|
||||
<!-- Background -->
|
||||
<rect width="512" height="512" fill="url(#bgGrad)" />
|
||||
|
||||
<!-- Shapes -->
|
||||
${sceneShapes}
|
||||
|
||||
<!-- Premium UI Overlay Frame -->
|
||||
<rect x="20" y="20" width="472" height="472" fill="none" stroke="#ffffff" stroke-width="1.5" opacity="0.15" rx="8"/>
|
||||
|
||||
<!-- Prompt & Details text -->
|
||||
<rect x="40" y="410" width="432" height="62" fill="#0F172A" opacity="0.85" rx="6" />
|
||||
<text x="60" y="435" fill="#F1F5F9" font-family="system-ui, -apple-system, sans-serif" font-size="13" font-weight="bold">${keywordLabel}</text>
|
||||
<text x="60" y="455" fill="#94A3B8" font-family="system-ui, -apple-system, sans-serif" font-size="11">Seed: ${seedVal} • Steps: ${payload.steps} • Scale: ${payload.cfg_scale}</text>
|
||||
</svg>
|
||||
`;
|
||||
|
||||
const base64Svg = btoa(unescape(encodeURIComponent(svgString)));
|
||||
const mockImageUrl = `data:image/svg+xml;base64,${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)
|
||||
|
||||
Executable
+130
@@ -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! ==="
|
||||
Executable
+59
@@ -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..."
|
||||
+163
-21
@@ -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");
|
||||
|
||||
Executable
+327
@@ -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" || "$VENDOR" == "amd" ]]; then
|
||||
echo " Tip: For maximum GPU performance, re-run with:"
|
||||
echo " ./scripts/setup.sh --max-perf"
|
||||
echo ""
|
||||
fi
|
||||
@@ -0,0 +1,134 @@
|
||||
#!/usr/bin/env bash
|
||||
#
|
||||
# Local AI Image Generator - Linux Launcher
|
||||
# Double-click or run: ./start.sh
|
||||
# Use --max-perf to enable ROCm/CUDA backend downloads on first setup.
|
||||
#
|
||||
|
||||
set -euo pipefail
|
||||
|
||||
SCRIPT_DIR="$(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
|
||||
Reference in new issue
Block a user