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/config.py

@@ -0,0 +1,38 @@
+import json
+from typing import List
+
+from pydantic_settings import BaseSettings
+
+
+class Settings(BaseSettings):
+    model_config = {'env_prefix': 'FF_'}
+
+    # Paths
+    upload_dir: str = '/data/uploads'
+    output_dir: str = '/data/outputs'
+    models_dir: str = '/data/models'
+    temp_dir: str = '/data/temp'
+    jobs_dir: str = '/data/jobs'
+
+    # FaceFusion defaults
+    execution_providers: str = '["cpu"]'
+    execution_thread_count: int = 4
+    video_memory_strategy: str = 'moderate'
+    face_detector_model: str = 'yolo_face'
+    download_providers: str = '["github", "huggingface"]'
+    download_scope: str = 'lite'
+    log_level: str = 'info'
+
+    # Limits
+    max_upload_size_mb: int = 500
+    sync_timeout_seconds: int = 120
+    auto_cleanup_hours: int = 24
+
+    def get_execution_providers(self) -> List[str]:
+        return json.loads(self.execution_providers)
+
+    def get_download_providers(self) -> List[str]:
+        return json.loads(self.download_providers)
+
+
+settings = Settings()