- Update onnxruntime to 1.24.1, numpy to 2.2.1, opencv-python to 4.13.0.92,
scipy to 1.17.0, onnx to 1.20.1 to match facefusion/requirements.txt
- GPU Dockerfile: install Python 3.12 from deadsnakes PPA since CUDA base
image ships Python 3.10 which is too old for onnxruntime-gpu 1.24.1
- Copy both requirements files in COPY step so -r reference resolves
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
FastAPI wrapper around FaceFusion v3.5.3 submodule with:
- Sync and async (job-based) processing endpoints
- FaceFusion bridge with manual key registration and Lock-serialized processing
- Multi-target Dockerfile (CPU + CUDA GPU)
- Docker Compose configs for dev, prod-cpu, and prod-gpu
- Gitea CI/CD workflow with dual image builds
- All 11 FaceFusion processors supported via options API
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
