零门槛AI 绘图：教你为客户定制 ComfyUI Serverless API 应用

作者：鸥弋、筱姜

2023年下半年，ComfyUI 以其快速、流畅的图像生成能力，结合多样的自定义节点，迅速在创作者中流行起来。ComfyUI 的亮点就是能够批量化生成图像，一键加载大量工作流，让用户可以轻松实现人像生成、背景替换、风格迁移和图像动画化等功能。越来越多的企业及个人开发者希望借助 ComfyUI 能力进行 AI 绘画领域创业或者业务上新，获得高流量及商业价值，但使用原生的 ComfyUI 仍然存在一些问题：

1.显卡资源昂贵且难以购买：GPU 卡池管理技术门槛高：高性能的 GPU 资源不仅价格昂贵，而且往往难以大规模采购。此外，GPU 卡池的有效管理和维护需要复杂的技术支持，也带来了额外的挑战。 2.难以应对高并发：原生的 ComfyUI 出图需要排队，并发处理能力有限。在面对高并发场景时，尤其是并发请求具有大的波动性时，资源配置难以精确预测，从而可能导致系统错误和业务中断。 3.门槛高，难以对外透出：ComfyUI 拥有一定的门槛，对于普通的创作者而言几乎无法使用，需要对其进行二次包装才能让更多用户享受到 AI 的便捷。

为了帮助用户高效率、低成本应对企业级复杂场景，以下介绍 ComfyUI API Serverless 版解决方案，通过使用该方案，用户可以充分利用 ComfyUI + Serverless 技术优势快速开发上线 AI 绘画应用，期待为广大开发者 AI 绘画创业及变现提供思路。 相关文章：AI 绘画平台难开发，难变现？试试 Stable Diffusion API Serverless 版解决方案

阿里云X优酷联名发起的「Creat@AI江湖创作大赛」使用本文章中的解决方案，基于函数计算FC 一键部署 AI 绘图平台，1分钟实现 “破次元壁合照”、5分钟实现 Stable Diffusion、ComfyUI 部署，生成以“少年江湖“为主题的画作赢万元奖金。 活动链接：https://developer.aliyun.com/plan/create/snbm 截屏2024-07-30 14.12.49.png

方案优势

在以往的活动中，我们也面临了很多非技术相关的用户期望享受 AI 的魅力。结合实际需要我们给出了 Serverless 化的 ComfyUI 实践案例，解决了上述问题。

部署简单：提供基础 ComfyUI 镜像，不需要修改时一键即可拉起出图，需要修改时也只需要修改 ComfyUI 镜像地址即可
弹性 GPU：函数计算提供了 GPU 弹性的能力，根据实际请求控制实例个数，有突发流量时自动弹新实例承接请求，完全不需要增加额外的关注
按量付费：函数计算的按量实例为毫秒级粒度的计费策略，用多久就收多少钱，确保每分钱都花在刀刃上
ComfyUI Serverless 化改造：对原本不适应 Serverless 弹性能力的 ComfyUI 改造，使其可以支持异步、并发、弹性等各种 Serverless 能力
前后端联动：活动开源了一个支持自定义参数，并且并发出图的前端页面，可直接提供给客户使用

应用场景

ComfyUI 提供了非常高的自由度和灵活性，支持定制化工作流，并且可以重复使用，批量出图，特别适用于需要创意图像生成场景：

艺术创作与设计：艺术家和设计师可以利用 ComfyUI 生成独特的艺术作品，包括概念艺术、插画、海报设计等。通过 ComfyUI，他们可以根据自己的创意想法生成初步的图像草稿，然后再进一步细化和完善。
内容制作与营销：在社交媒体、广告和营销领域，ComfyUI 可用于快速生成符合品牌风格的视觉素材，用于社交媒体内容、广告横幅、海报等
游戏开发：游戏开发者可能利用 ComfyUI 自动生成游戏内的景观或建筑物的纹理，减少手工制作这些元素所需的时间和成本。
视觉特效与影视后期：电影和电视行业的视觉特效团队可以使用 ComfyUI 来辅助创建逼真的背景、特殊效果或修复旧影片中的画面缺陷。

通过 API 接口调用 ComfyUI 解决方案

常规的 ComfyUI 出图的流程大致如下

调用 /prompt 接口，发起出图任务
通过 WebSocket 获取出图进度

由于在 Serverless 场景下，无请求的时候实例会被冻结，因此 WebSocket 请求是必须要存在的，且需要保持连接到出图完成。

在并发请求数比较大的情况下，我们往往期望可以利用 Serverless 的弹性，动态创建多个函数实例处理出图任务。但由于 ComfyUI 本身是“有状态”的，难以确保出图的请求和获取状态的请求固定打到同一个实例上，这可能会导致接口的调用不符合预期。

为了让 ComfyUI 更加适配 Serverless 模式，需要针对 ComfyUI 进行一定的改造。参考 fc-comfyui/src/images/agent 的代码，在 ComfyUI 镜像里内置 agent 程序，负责转换 ComfyUI 请求并且拉起 ComfyUI。截屏2024-07-30 13.59.35.png

注意！ 我们提供的代码仅用于运营活动使用，作为 Serverless 方式调用的实践参考。功能未经过严格测试，请根据实际的业务需要开发或调整相关的代码，并构建 ComfyUI 镜像。

目前提供的 Agent 能力介绍

开启 Agent 能力，需要增加环境变量

USE_AGENT：1

当通过 Agent 的 API 调用时，建议您调整单实例并发度为 1 ～ 5，确保并发请求尽量使用单独的实例，提高出图效率

数据类型

出图 Prompt

与 ComfyUI 在 Dev Mode 导出的文件一致

type TPromptNode struct {
    Inputs    map[string]any `json:"inputs"`
    ClassType string         `json:"class_type"`
    Meta      map[string]any `json:"_meta"`
}

type TPrompt map[string]TPromptNode

LoadImage 节点的参数做了特殊处理，如果内容为 base64 或 http 地址，会自动将对应的文件上传，并转换为 ComfyUI 可识别的形式

进度

// key 为 node id 的 map 对象
type TProgress map[string]TProgressNode

type TProgressNode struct {
    Max         int                  `json:"max"` // 进度的最大值
    Value       int                  `json:"value"` // 当前进度
    Start       int64                `json:"start"` // 开始时间
    LastUpdated int64                `json:"last_updated"` // 最后一次更新时间
    Images      []TProgressNodeImage `json:"images"` // 当前节点输出的图片信息（路径）
    Results     []string             `json:"results,omitempty"` // 当前节点输出的图片 base64
}

接口

出图请求（HTTP 同步）

路径：/api/run Body：json 格式的 prompt 数据返回值：最后一次的进度（包含图片信息）

当需要异步请求时，需要增加 X-Fc-Invocation-Type 和 task-id，前者告知 FC 异步形式调用，后者用于记录当前任务的唯一 id，方便后续获取状态

curl http://xxxxx/api/run -v \
    -H 'X-Fc-Invocation-Type: Async' \
  -H "task-id: abcdefg" \
     -XPOST \
  -d '{
    "3": {
        "inputs": {
            "seed": 1586995582004891,
            "steps": 17,
            "cfg": 6,
            "sampler_name": "dpm_2",
            "scheduler": "karras",
            "denoise": 1,
            "model": [
                "33",
                0
            ],
            "positive": [
                "31",
                0
            ],
            "negative": [
                "32",
                0
            ],
            "latent_image": [
                "5",
                0
            ]
        },
        "class_type": "KSampler",
        "_meta": {
            "title": "KSampler"
        }
    },
    "4": {
        "inputs": {
            "ckpt_name": "majicMIX realistic_v7.safetensors"
        },
        "class_type": "CheckpointLoaderSimple",
        "_meta": {
            "title": "Load Checkpoint"
        }
    },
    "5": {
        "inputs": {
            "width": 1024,
            "height": 784,
            "batch_size": 1
        },
        "class_type": "EmptyLatentImage",
        "_meta": {
            "title": "Empty Latent Image"
        }
    },
    "6": {
        "inputs": {
            "text": "2 human\nhi quality,detailed",
            "clip": [
                "4",
                1
            ]
        },
        "class_type": "CLIPTextEncode",
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "8": {
        "inputs": {
            "samples": [
                "3",
                0
            ],
            "vae": [
                "4",
                2
            ]
        },
        "class_type": "VAEDecode",
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "9": {
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "8",
                0
            ]
        },
        "class_type": "SaveImage",
        "_meta": {
            "title": "Save Image"
        }
    },
    "10": {
        "inputs": {
            "image": "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/default.png",
            "upload": "image"
        },
        "class_type": "LoadImage",
        "_meta": {
            "title": "Load Image"
        }
    },
    "11": {
        "inputs": {
            "image": "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/百里东君.png",
            "upload": "image"
        },
        "class_type": "LoadImage",
        "_meta": {
            "title": "Load Image",
            "edit": []
        }
    },
    "12": {
        "inputs": {
            "image": "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/background.png",
            "upload": "image"
        },
        "class_type": "LoadImage",
        "_meta": {
            "title": "Load Image"
        }
    },
    "13": {
        "inputs": {
            "image": "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/mask.png",
            "upload": "image"
        },
        "class_type": "LoadImage",
        "_meta": {
            "title": "Load Image"
        }
    },
    "15": {
        "inputs": {
            "threshold_r": 0.15,
            "threshold_g": 0.15,
            "threshold_b": 0.15,
            "remove_isolated_pixels": 0,
            "fill_holes": false,
            "image": [
                "13",
                0
            ]
        },
        "class_type": "MaskFromRGBCMYBW+",
        "_meta": {
            "title": "🔧 Mask From RGB/CMY/BW"
        }
    },
    "21": {
        "inputs": {
            "image_weight": 0.8,
            "prompt_weight": 1,
            "weight_type": "linear",
            "start_at": 0,
            "end_at": 1,
            "image": [
                "10",
                0
            ],
            "mask": [
                "15",
                0
            ],
            "positive": [
                "24",
                0
            ],
            "negative": [
                "25",
                0
            ]
        },
        "class_type": "IPAdapterRegionalConditioning",
        "_meta": {
            "title": "IPAdapter Regional Conditioning"
        }
    },
    "22": {
        "inputs": {
            "image_weight": 1,
            "prompt_weight": 1,
            "weight_type": "linear",
            "start_at": 0,
            "end_at": 1,
            "image": [
                "11",
                0
            ],
            "mask": [
                "15",
                1
            ],
            "positive": [
                "26",
                0
            ],
            "negative": [
                "25",
                0
            ]
        },
        "class_type": "IPAdapterRegionalConditioning",
        "_meta": {
            "title": "IPAdapter Regional Conditioning"
        }
    },
    "23": {
        "inputs": {
            "image_weight": 0.7000000000000001,
            "prompt_weight": 1,
            "weight_type": "linear",
            "start_at": 0,
            "end_at": 1,
            "image": [
                "12",
                0
            ],
            "mask": [
                "15",
                6
            ]
        },
        "class_type": "IPAdapterRegionalConditioning",
        "_meta": {
            "title": "IPAdapter Regional Conditioning"
        }
    },
    "24": {
        "inputs": {
            "text": "illustration of a body with black hair, presented in high definition with intricate details",
            "clip": [
                "4",
                1
            ]
        },
        "class_type": "CLIPTextEncode",
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "25": {
        "inputs": {
            "text": "(worst quality:1.6),(low quality:1.6),(lowres:1.6),(NSFW:1.5),watermark,monochrome,disconnected limbs,malformed limbs,extra limb,mutated hands,fused fingers,too many fingers,extra arms,missing fingers,bad hands,bad feet,mutated hands and fingers,malformed hands,extra legs,floating limbs,missing limb,mutation,mutated,deformed,bad body,poorly drawn hands,(badhandv4),(naked),(nude),",
            "clip": [
                "4",
                1
            ]
        },
        "class_type": "CLIPTextEncode",
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "26": {
        "inputs": {
            "text": "anime Aillustration of 1 boy with black hair, depicted in high definition showcasing rich details, in 8k resolution.",
            "clip": [
                "4",
                1
            ]
        },
        "class_type": "CLIPTextEncode",
        "_meta": {
            "title": "CLIP Text Encode (Prompt)"
        }
    },
    "28": {
        "inputs": {
            "params_1": [
                "21",
                0
            ],
            "params_2": [
                "22",
                0
            ],
            "params_3": [
                "23",
                0
            ]
        },
        "class_type": "IPAdapterCombineParams",
        "_meta": {
            "title": "IPAdapter Combine Params"
        }
    },
    "31": {
        "inputs": {
            "conditioning_1": [
                "21",
                1
            ],
            "conditioning_2": [
                "22",
                1
            ],
            "conditioning_3": [
                "6",
                0
            ],
            "conditioning_4": [
                "47",
                0
            ]
        },
        "class_type": "ConditioningCombineMultiple+",
        "_meta": {
            "title": "🔧 Conditionings Combine Multiple "
        }
    },
    "32": {
        "inputs": {
            "conditioning_1": [
                "47",
                1
            ],
            "conditioning_2": [
                "22",
                2
            ],
            "conditioning_3": [
                "25",
                0
            ]
        },
        "class_type": "ConditioningCombineMultiple+",
        "_meta": {
            "title": "🔧 Conditionings Combine Multiple "
        }
    },
    "33": {
        "inputs": {
            "combine_embeds": "concat",
            "embeds_scaling": "V only",
            "model": [
                "4",
                0
            ],
            "ipadapter": [
                "34",
                1
            ],
            "ipadapter_params": [
                "28",
                0
            ]
        },
        "class_type": "IPAdapterFromParams",
        "_meta": {
            "title": "IPAdapter from Params"
        }
    },
    "34": {
        "inputs": {
            "preset": "PLUS (high strength)",
            "model": [
                "4",
                0
            ]
        },
        "class_type": "IPAdapterUnifiedLoader",
        "_meta": {
            "title": "IPAdapter Unified Loader"
        }
    },
    "43": {
        "inputs": {
            "clip_name": "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors"
        },
        "class_type": "CLIPVisionLoader",
        "_meta": {
            "title": "Load CLIP Vision"
        }
    },
    "45": {
        "inputs": {
            "ipadapter_file": "ip-adapter-plus_sd15.safetensors"
        },
        "class_type": "IPAdapterModelLoader",
        "_meta": {
            "title": "IPAdapter Model Loader"
        }
    },
    "46": {
        "inputs": {
            "provider": "CPU"
        },
        "class_type": "IPAdapterInsightFaceLoader",
        "_meta": {
            "title": "IPAdapter InsightFace Loader"
        }
    },
    "47": {
        "inputs": {
            "strength": 0.8,
            "start_percent": 0,
            "end_percent": 1,
            "positive": [
                "21",
                1
            ],
            "negative": [
                "21",
                2
            ],
            "control_net": [
                "48",
                0
            ],
            "image": [
                "49",
                0
            ]
        },
        "class_type": "ControlNetApplyAdvanced",
        "_meta": {
            "title": "Apply ControlNet (Advanced)"
        }
    },
    "48": {
        "inputs": {
            "control_net_name": "control_v11p_sd15_openpose_fp16.safetensors"
        },
        "class_type": "ControlNetLoader",
        "_meta": {
            "title": "Load ControlNet Model"
        }
    },
    "49": {
        "inputs": {
            "detect_hand": "enable",
            "detect_body": "enable",
            "detect_face": "enable",
            "resolution": 512,
            "image": [
                "10",
                0
            ]
        },
        "class_type": "OpenposePreprocessor",
        "_meta": {
            "title": "OpenPose Pose"
        }
    }
}'


{"":{"max":0,"value":0,"start":0,"last_updated":1722234889,"images":null},"10":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"11":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"12":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"13":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"15":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"21":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"22":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"23":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"24":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"25":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"26":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"28":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"3":{"max":17,"value":17,"start":1722234848,"last_updated":1722234889,"images":null},"31":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"32":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"33":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"34":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"4":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"43":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"45":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"46":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"47":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"48":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"49":{"max":1,"value":1,"start":1722234846,"last_updated":1722234848,"images":null},"5":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"6":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"8":{"max":1,"value":0,"start":1722234889,"last_updated":1722234889,"images":null},"9":{"max":1,"value":0,"start":1722234889,"last_updated":1722234889,"images":[{"filename":"ComfyUI_00004_.png","subfolder":"","type":"output"}]}}

出图请求（WebSocket）

路径：/api/run/ws Message：

客户端 -> 服务端：仅发送一次，json 格式的 prompt 信息
服务端 -> 客户端：中间状态

获取状态

路径：/api/run/ws?id= Query 参数：

id：task id

curl http://xxxxx/api/status?id=abcdefg -v


{"":{"max":0,"value":0,"start":0,"last_updated":1722234889,"images":null},"10":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"11":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"12":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"13":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"15":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"21":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"22":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"23":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"24":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"25":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"26":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"28":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"3":{"max":17,"value":17,"start":1722234848,"last_updated":1722234889,"images":null},"31":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"32":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"33":{"max":1,"value":0,"start":1722234844,"last_updated":1722234844,"images":null},"34":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"4":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"43":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"45":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"46":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"47":{"max":1,"value":0,"start":1722234848,"last_updated":1722234848,"images":null},"48":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"49":{"max":1,"value":1,"start":1722234846,"last_updated":1722234848,"images":null},"5":{"max":0,"value":0,"start":0,"last_updated":0,"images":null},"6":{"max":0,"value":0,"start":0,"last_updated":0,"imag* Connection #0 to host photo-b-comfyui-ibiwqxodsh.cn-hangzhou.fcapp.run left intact
es":null},"8":{"max":1,"value":0,"start":1722234889,"last_updated":1722234889,"images":null},"9":{"max":1,"value":0,"start":1722234889,"last_updated":1722234889,"images":[{"filename":"ComfyUI_00004_.png","subfolder":"","type":"output"}]}}

其他

原样转发至 ComfyUI

调用方式

同步调用

/api/run 和 /api/run/ws 都是同步接口，直接调用即可，区别在于是否需要出图进度

在 WebSocket 内部获取：只调用 /api/run/ws
不关心出图进度 / 起另一个线程获取进度：使用 /api/run + /api/status

注：当选择 /api/run + /api/status 方式时，您需要挂载一个 NAS 实例或改造代码，将状态存放至 OTS 等数据库，否则在多实例时无法获取进度

异步调用

调用 /api/run 接口，并且添加 HTTP Header，借助函数计算自带的能力，将请求转换为异步形式

Key：X-Fc-Invocation-Type
Value：Async

注：当选择异步调用时，您需要挂载一个 NAS 实例或改造代码，将状态存放至 OTS 等数据库，否则在多实例时无法获取进度

二次开发

我们提供的 agent 仅用作参考，正式使用时，请根据业务需要进行二次开发

状态存储

在 src/images/agent/pkg/store/fs.go 中，我们实现了基于文件系统的状态存储，您只需要挂载 NAS 系统，确保文件可被正常持久化，既可以在多个实例之间共享状态文件，确保可以正确拿到状态信息更好的做法是，将状态信息写入到 OTS、MySQL 等数据库中，您只需要仿照 fs.go 实现 Stroe 接口针对其他数据库的实现即可

// Store KV 数据存储
type Store interface {
    // Save 存储 value 到 key
    Save(key string, value string) error
    // Load 从 key 加载 value
    Load(key string) (string, error)
}

Output 节点

目前，agent 仅针对 SaveImage 节点做了特殊处理，提取其中的图片信息。对于特殊的业务需要，您可能需要更加定制化的工作流处理，如

增加更多对于 Output 的解析

不解析图片节点，而是借助于其他接口获取图片文件

case "execution_error", "executed":
          // 节点执行结束
          log.Debugf("%s node %s finished", logPrefix, nodeid)

          // 节点已完成时，修改下 Max 和 Value 至少为 1
          if currentNodeProgress.Max == 0 && currentNodeProgress.Value == 0 {
              currentNodeProgress.Max = 1
              currentNodeProgress.Value = 1
          }

          if promptNode.ClassType == "SaveImage" && msg.Data.Output.Images != nil && len(msg.Data.Output.Images) > 0 {
              // 如果是图片节点，则记录一下图片数据
              if currentNodeProgress.Images == nil {
                  currentNodeProgress.Images = make([]store.TProgressNodeImage, 0, len(msg.Data.Output.Images))
              }

              for _, img := range msg.Data.Output.Images {
                  currentNodeProgress.Images = append(currentNodeProgress.Images, store.TProgressNodeImage{
                      Filename:  img.Filename,
                      SubFolder: img.SubFolder,
                      Type:      img.Type,
                  })
              }
          }

前端功能集成

与 Agent 对应，我们也给出了一份前端页面 devsapp/fc-comfyui-couple-photo

在这里，我们针对 ComfyUI 的 prompt 做了一些特殊的约定，以适应自定义需要。以函数计算支持活动 “阿里云X优酷江湖创作大赛” 为例，我们提供了预定义的 prompt 文件

[
  {
    "title": "破次元壁合照",
    "prompt": {},
    "params": [
      {
        "type": "group",
        "title": "STEP 1 - 上传您的照片",
        "children": [
          {
            "type": "image",
            "id": "10",
            "key": "image",
            "title": "参考图",
            "description": "请上传您的照片，帮助模型理解您的样貌。请尽量选择背景简单、主体突出的半身照，不要佩戴墨镜、帽子等可能影响您特征的衣物。"
          },
          {
            "type": "string",
            "id": "24",
            "key": "text",
            "title": "参考形象描述",
            "description": "为了确保模型更好地理解您的特点，您可以使用提示词来加强模型对您的印象（请使用因为描述）。"
          }
        ]
      },
      {
        "type": "image",
        "id": "11",
        "key": "image",
        "title": "STEP 2 - 选择角色",
        "description": "请选择您希望合照的角色。",
        "options": [
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/百里东君.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/司空长风.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/玥瑶.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/叶鼎之.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/易文君.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/南宫春水.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/萧若风.png"
        ]
      },
      {
        "type": "image",
        "id": "12",
        "key": "image",
        "title": "STEP 3 - 上传背景图",
        "description": "请上传您期望的合影地点的图片，这将作为背景图片的参考。"
      }
    ]
  },
  {
    "title": "背景替换",
    "prompt": {},
    "params": [
      {
        "type": "image",
        "id": "10",
        "key": "image",
        "title": "STEP 1 - 选择角色",
        "description": "请选择您希望合照的角色。",
        "options": [
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/百里东君.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/司空长风.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/玥瑶.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/叶鼎之.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/易文君.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/南宫春水.png",
          "https://serverless-tool-images.oss-cn-hangzhou.aliyuncs.com/aigc/json/couple/萧若风.png"
        ]
      },
      {
        "type": "image",
        "id": "12",
        "key": "image",
        "title": "STEP 2 - 上传背景图",
        "description": "请上传您期望的合影地点的图片，这将作为背景图片的参考。"
      }
    ]
  }
]

通过 params 字段，约定了如何渲染页面并允许用户填入自己的参数

export type ComfyUIPromptEditPanel = {
  type: 'image' | 'select' | 'number' | 'string' | 'group'; // 数据类型
  id?: string; // 对应 prompt 中的 node id
  key: string; // 要修改的参数
  title: string; // 标题
  description?: string; // 描述
  options?: string[] | string; // 可选项
  min?: number; // 最小值
  max?: number; // 最大值
  step?: number; // 调整步数
  hidden?: boolean; // 是否隐藏
  children?: ComfyUIPromptEditPanel[]; // group 类型的子节点
};

一些其他约定：

如果 seed 字段为 -1，则会被替换为随机数

如果您也希望创建自己的 ComfyUI 自定义页面提供给自己的客户，可以参考相关的前端代码。

最佳实践

为了方便大家直观体验一下该解决方案成效，函数计算Serverless 应用中心上线基于 ComfyUI Serverless API 解决方案搭建的应用-【少年白马专属】破次元壁合照 AI 绘画平台，作为一个实验demo 开放体验，期待为广大开发者 AI 绘画创业及变现提供一些有益思考。直接参加体验活动，送好礼！ 活动链接：https://developer.aliyun.com/plan/create/snbm 截屏2024-07-30 14.07.49.png

更多内容关注 Serverless 微信公众号（ID：serverlessdevs），汇集 Serverless 技术最全内容，定期举办 Serverless 活动、直播，用户最佳实践。