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>

app/routers/processors.py

@@ -0,0 +1,47 @@
+import logging
+from typing import List
+
+from fastapi import APIRouter, HTTPException
+
+from app.schemas.system import ModelInfo, ProcessorInfo
+from app.services import facefusion_bridge, file_manager
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(prefix='/api/v1', tags=['processors'])
+
+
+@router.get('/processors', response_model=List[ProcessorInfo])
+async def list_processors():
+    """List available processors and their models."""
+    try:
+        processor_names = facefusion_bridge.get_available_processors()
+        result = []
+        for name in processor_names:
+            result.append(ProcessorInfo(name=name, models=[]))
+        return result
+    except Exception as e:
+        logger.error(f'Failed to list processors: {e}')
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get('/models', response_model=List[ModelInfo])
+async def list_models():
+    """List downloaded model files."""
+    models = file_manager.list_model_files()
+    return [ModelInfo(name=name, path=path, size_bytes=size) for name, path, size in models]
+
+
+@router.post('/models/download')
+async def download_models(processors: List[str] = None):
+    """Trigger model download for specified processors."""
+    try:
+        success = facefusion_bridge.force_download_models(processors)
+        if success:
+            return {'status': 'ok', 'message': 'Models downloaded successfully'}
+        raise HTTPException(status_code=500, detail='Some models failed to download')
+    except HTTPException:
+        raise
+    except Exception as e:
+        logger.error(f'Model download failed: {e}')
+        raise HTTPException(status_code=500, detail=str(e))