requirements.txt

fastapi==0.115.6
uvicorn[standard]==0.34.0
python-multipart==0.0.18
pydantic-settings==2.7.1
psutil==6.1.1

# FaceFusion dependencies (matching facefusion/requirements.txt, excluding gradio)
numpy==2.2.1
opencv-python==4.13.0.92
onnx==1.20.1
scipy==1.17.0
tqdm==4.67.3
Initial commit: FaceFusion REST API 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> 2026-02-16 12:58:33 +01:00			`fastapi==0.115.6`
			`uvicorn[standard]==0.34.0`
			`python-multipart==0.0.18`
			`pydantic-settings==2.7.1`
			`psutil==6.1.1`

fix: align dependency versions with FaceFusion 3.5.3 and fix GPU build - 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> 2026-02-16 13:16:21 +01:00			`# FaceFusion dependencies (matching facefusion/requirements.txt, excluding gradio)`
			`numpy==2.2.1`
			`opencv-python==4.13.0.92`
			`onnx==1.20.1`
			`scipy==1.17.0`
			`tqdm==4.67.3`