Figure AI Inference Playground

Base URL

GET /health

서버 및 GPU 상태 확인

curl {BASE}/healthCopy

GET /api/v1/models

등록된 모델 목록 조회 (로드 상태 포함)

curl {BASE}/api/v1/modelsCopy

POST /api/v1/models/load

모델 전환 (기존 모델 언로드 후 새 모델 로드)

curl -X POST {BASE}/api/v1/models/load \
  -H "Content-Type: application/json" \
  -d '{"model_id": "qwen-edit-lightning"}'Copy

POST /api/v1/generate/image

이미지 편집 생성 — FAL API 호환 응답

image_url 방식 (Worker 호출 패턴)

curl -X POST {BASE}/api/v1/generate/image \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Change the background to a sunset beach",
    "image_url": "https://example.com/input.jpg",
    "num_inference_steps": 4,
    "guidance_scale": 1.0,
    "seed": 42
  }'Copy

image_urls 방식 (FAL 호환 — 배열)

curl -X POST {BASE}/api/v1/generate/image \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Make it look like a watercolor painting",
    "image_urls": ["https://example.com/input.jpg"],
    "num_inference_steps": 4,
    "guidance_scale": 1.0
  }'Copy

image_base64 방식 (플레이그라운드 호출 패턴)

curl -X POST {BASE}/api/v1/generate/image \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Add sunglasses",
    "image_base64": "data:image/png;base64,iVBOR..."
  }'Copy

Response Format

FAL API 호환 — images[].url은 다운로드 가능한 HTTP URL

{
  "images": [
    { "url": "http://localhost:8000/outputs/17757901_seed42.png" }
  ],
  "seed": 42,
  "elapsed_ms": 3200
}

Available Models

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