comfyui-python-client
ComfyUI REST/WebSocket API를 Python에서 다루기 쉽게 감싼 경량 클라이언트입니다.
- 기본 서버:
127.0.0.1:8188 - 지원 기능: 프롬프트 실행/대기, 히스토리, 큐 제어, 이미지 업/다운로드, 시스템/모델/템플릿/사용자 API
- 클라이언트 구성: 동기(
ComfyClient/SyncComfyClient) + 비동기(AsyncComfyClient)
요구사항
- Python
>= 3.12 - 실행 중인 ComfyUI 서버
설치
패키지 루트(packages/comfyui-python-client)에서:
pip install -e .
빠른 시작
from comfy_sdk import ComfyUI
import json
client = ComfyUI(host="127.0.0.1", port=8188)
# 1) 연결 확인
stats = client.system.stats()
print(stats)
# 2) 워크플로우 전송
with open("workflow_api.json", "r", encoding="utf-8") as f:
workflow = json.load(f)
res = client.prompt.send(workflow)
print("prompt_id:", res.prompt_id)
# 3) 완료 대기 후 히스토리 조회
history = client.prompt.wait(res.prompt_id)
print(history)
비동기 클라이언트 예시
import asyncio
from comfy_sdk import AsyncComfyClient
async def main():
client = AsyncComfyClient(host="127.0.0.1", port=8188)
stats = await client.get_system_stats()
print(stats)
# 필요 시 워크플로우 실행/대기
# res = await client.queue_prompt(workflow)
# history = await client.wait_for_completion(res.prompt_id)
await client.close()
asyncio.run(main())
API 개요
ComfyUI 인스턴스는 아래 리소스를 제공합니다.
client.promptsend(workflow)retrieve(prompt_id)wait(prompt_id)history(),delete(prompt_id),clear()
client.imagesupload(data, name, overwrite=False)download(filename, subfolder="", folder_type="output")upload_mask(data, name, original_ref, overwrite=False, mask_type="mask")metadata(filename, subfolder="", folder_type="output")
client.systemstats(),extensions(),embeddings(),features()free(unload_models=False, free_memory=False)
client.queuestatus(),interrupt(),clear()
client.modelslist(folder=None)(checkpoints,loras등)
client.templateslist()
client.userslist(),create(username)
client.userdataget(file),move(file, dest)
이미지 업로드 예시
from comfy_sdk import ComfyUI
client = ComfyUI()
with open("input.png", "rb") as f:
image_bytes = f.read()
result = client.images.upload(image_bytes, "input.png", overwrite=True)
print(result)
참고
prompt.wait(prompt_id)는 내부적으로 WebSocket(ws://<host>:<port>/ws)을 사용합니다.- ComfyUI가 실행 중이 아니면 요청이 실패하므로 먼저 서버 상태를 확인하세요.
Metadata
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