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本文介绍了如何通过 API Key 集成来使用 ComfyUI API 节点
"""在无头模式或使用替代前端运行 ComfyUI 时使用 API 节点 你可以通过在 prompt 中包含 API key 来执行包含 API 节点的 ComfyUI 工作流。 API key 需要添加到 payload 的 `extra_data` 字段中。 下面我们展示一个如何实现的示例。 更多信息请参考: - API 节点概述: https://docs.comfy.org/zh-CN/tutorials/api-nodes/overview - 要生成 API key,请登录这里: https://platform.comfy.org/login """ import json from urllib import request SERVER_URL = "http://127.0.0.1:8188" # 我们有一个包含 API 节点的 prompt/job(API 格式的工作流)。 workflow_with_api_nodes = """{ "11": { "inputs": { "prompt": "A dreamy, surreal half-body portrait of a young woman meditating. She has a short, straight bob haircut dyed in pastel pink, with soft bangs covering her forehead. Her eyes are gently closed, and her hands are raised in a calm, open-palmed meditative pose, fingers slightly curved, as if levitating or in deep concentration. She wears a colorful dress made of patchwork-like pastel tiles, featuring clouds, stars, and rainbows. Around her float translucent, iridescent soap bubbles reflecting the rainbow hues. The background is a fantastical sky filled with cotton-candy clouds and vivid rainbow waves, giving the entire scene a magical, dreamlike atmosphere. Emphasis on youthful serenity, whimsical ambiance, and vibrant soft lighting.", "prompt_upsampling": false, "seed": 589991183902375, "aspect_ratio": "1:1", "raw": false, "image_prompt_strength": 0.4000000000000001, "image_prompt": [ "14", 0 ] }, "class_type": "FluxProUltraImageNode", "_meta": { "title": "Flux 1.1 [pro] Ultra Image" } }, "12": { "inputs": { "filename_prefix": "ComfyUI", "images": [ "11", 0 ] }, "class_type": "SaveImage", "_meta": { "title": "Save Image" } }, "14": { "inputs": { "image": "example.png" }, "class_type": "LoadImage", "_meta": { "title": "Load Image" } } }""" prompt = json.loads(workflow_with_api_nodes) payload = { "prompt": prompt, # 将 `api_key_comfy_org` 添加到 payload 中。 # 如果你需要处理多个客户端,可以先从关联的用户获取 key。 "extra_data": { "api_key_comfy_org": "comfyui-87d01e28d*******************************************************" # 替换为实际的 key }, } data = json.dumps(payload).encode("utf-8") req = request.Request(f"{SERVER_URL}/prompt", data=data) # 发送请求 request.urlopen(req)
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