Backend
- core/inference/diffusion.py: DiffusionBackend singleton that loads
diffusion GGUFs from Hugging Face via diffusers.GGUFQuantizationConfig
and runs them on the active CUDA / MPS / CPU device. Supports FLUX.2,
FLUX.2 klein, FLUX.1, Qwen-Image, Stable Diffusion 3, and SDXL.
- routes/inference.py: POST /api/inference/images/load,
POST /api/inference/images/generate, POST /api/inference/images/unload,
GET /api/inference/images/status mirroring the llama-server lifecycle.
- models/inference.py: DiffusionLoadRequest, DiffusionGenerateRequest,
DiffusionGenerateResponse pydantic schemas with prompt / step / size
validation up front so callers get clear 422s rather than VAE crashes.
- requirements/no-torch-runtime.txt: pin gguf alongside the existing
diffusers entry so GGUFQuantizationConfig works out of the box.
- tests/test_diffusion_backend.py + tests/test_diffusion_routes.py:
27 unit tests covering family detection, validation, lifecycle, and
the full FastAPI round trip with the backend stubbed. No torch /
diffusers / GPU required to run.
Frontend
- features/images/: standalone images-page.tsx with curated model picker
(FLUX.2 klein 4B / 9B, FLUX.2 dev, FLUX.1 dev), HF token field,
prompt + negative prompt, resolution presets, steps + guidance
sliders, seed input, and a result gallery that renders base64 PNGs
inline.
- app/routes/images.tsx: lazy /images route wired into router.tsx.
- components/app-sidebar.tsx: PaintBrush02Icon nav item between
Recipes and Export, hidden in chat-only mode.
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