Sebastian Krüger
800edc08ea
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>
34 lines
641 B
Python
34 lines
641 B
Python
from typing import Any, Dict, List, Optional
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from pydantic import BaseModel
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class HealthResponse(BaseModel):
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status: str = 'ok'
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class GpuDevice(BaseModel):
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id: int
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name: str
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memory_total: Optional[int] = None
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memory_used: Optional[int] = None
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class SystemInfoResponse(BaseModel):
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execution_providers: List[str]
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gpu_devices: List[GpuDevice]
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cpu_count: Optional[int] = None
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memory_total: Optional[int] = None
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memory_available: Optional[int] = None
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class ProcessorInfo(BaseModel):
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name: str
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models: List[str]
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class ModelInfo(BaseModel):
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name: str
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path: str
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size_bytes: int
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