fofr/any-comfyui-workflow-a100:82c95ab8 – Run with an API on Replicate

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fofr /any-comfyui-workflow-a100:82c95ab8

Input

workflow_json

string

Shift + Return to add a new line

{
  "3": {
    "inputs": {
      "seed": 156680208700286,
      "steps": 10,
      "cfg": 2.5,
      "sampler_name": "dpmpp_2m_sde",
      "scheduler": "karras",
      "denoise": 1,
      "model": [
        "4",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    },
    "class_type": "KSampler",
    "_meta": {
      "title": "KSampler"
    }
  },
  "4": {
    "inputs": {
      "ckpt_name": "SDXL-Flash.safetensors"
    },
    "class_type": "CheckpointLoaderSimple",
    "_meta": {
      "title": "Load Checkpoint"
    }
  },
  "5": {
    "inputs": {
      "width": 1024,
      "height": 1024,
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "Empty Latent Image"
    }
  },
  "6": {
    "inputs": {
      "text": "beautiful scenery nature glass bottle landscape, purple galaxy bottle,",
      "clip": [
        "4",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "7": {
    "inputs": {
      "text": "text, watermark",
      "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"
    }
  }
}
{
  "3": {
    "inputs": {
      "seed": 156680208700286,
      "steps": 10,
      "cfg": 2.5,
      "sampler_name": "dpmpp_2m_sde",
      "scheduler": "karras",
      "denoise": 1,
      "model": [
        "4",
        0
      ],
      "positive": [
        "6",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    },
    "class_type": "KSampler",
    "_meta": {
      "title": "KSampler"
    }
  },
  "4": {
    "inputs": {
      "ckpt_name": "SDXL-Flash.safetensors"
    },
    "class_type": "CheckpointLoaderSimple",
    "_meta": {
      "title": "Load Checkpoint"
    }
  },
  "5": {
    "inputs": {
      "width": 1024,
      "height": 1024,
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "Empty Latent Image"
    }
  },
  "6": {
    "inputs": {
      "text": "beautiful scenery nature glass bottle landscape, purple galaxy bottle,",
      "clip": [
        "4",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "7": {
    "inputs": {
      "text": "text, watermark",
      "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"
    }
  }
}

Your ComfyUI workflow as JSON. You must use the API version of your workflow. Get it from ComfyUI using ‘Save (API format)’. Instructions here: https://github.com/fofr/cog-comfyui

Default: ""

input_file

file

Input image, video, tar or zip file. Read guidance on workflows and input files here: https://github.com/fofr/cog-comfyui. Alternatively, you can replace inputs with URLs in your JSON workflow and the model will download them.

return_temp_files

boolean

Return any temporary files, such as preprocessed controlnet images. Useful for debugging.

Default: false

output_format

string

Format of the output images

Default: "webp"

output_quality

integer

(minimum: 0, maximum: 100)

Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.

Default: 95

randomise_seeds

boolean

Automatically randomise seeds (seed, noise_seed, rand_seed)

Default: true

force_reset_cache

boolean

Force reset the ComfyUI cache before running the workflow. Useful for debugging.

Default: false

Run this model in Node.js with one line of code:

npx create-replicate --model=fofr/any-comfyui-workflow-a100

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run fofr/any-comfyui-workflow-a100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/any-comfyui-workflow-a100:82c95ab88c3fe98772f23c42c8a6d54135a5d09546eefc75ee46805b017e8913",
  {
    input: {
      output_format: "webp",
      workflow_json: "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 156680208700286,\n      \"steps\": 10,\n      \"cfg\": 2.5,\n      \"sampler_name\": \"dpmpp_2m_sde\",\n      \"scheduler\": \"karras\",\n      \"denoise\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"5\",\n        0\n      ]\n    },\n    \"class_type\": \"KSampler\",\n    \"_meta\": {\n      \"title\": \"KSampler\"\n    }\n  },\n  \"4\": {\n    \"inputs\": {\n      \"ckpt_name\": \"SDXL-Flash.safetensors\"\n    },\n    \"class_type\": \"CheckpointLoaderSimple\",\n    \"_meta\": {\n      \"title\": \"Load Checkpoint\"\n    }\n  },\n  \"5\": {\n    \"inputs\": {\n      \"width\": 1024,\n      \"height\": 1024,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptyLatentImage\",\n    \"_meta\": {\n      \"title\": \"Empty Latent Image\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"beautiful scenery nature glass bottle landscape, purple galaxy bottle,\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \"text, watermark\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"8\": {\n    \"inputs\": {\n      \"samples\": [\n        \"3\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"9\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"8\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  }\n}\n",
      output_quality: 95,
      randomise_seeds: true,
      force_reset_cache: false,
      return_temp_files: false
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run fofr/any-comfyui-workflow-a100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/any-comfyui-workflow-a100:82c95ab88c3fe98772f23c42c8a6d54135a5d09546eefc75ee46805b017e8913",
    input={
        "output_format": "webp",
        "workflow_json": "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 156680208700286,\n      \"steps\": 10,\n      \"cfg\": 2.5,\n      \"sampler_name\": \"dpmpp_2m_sde\",\n      \"scheduler\": \"karras\",\n      \"denoise\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"5\",\n        0\n      ]\n    },\n    \"class_type\": \"KSampler\",\n    \"_meta\": {\n      \"title\": \"KSampler\"\n    }\n  },\n  \"4\": {\n    \"inputs\": {\n      \"ckpt_name\": \"SDXL-Flash.safetensors\"\n    },\n    \"class_type\": \"CheckpointLoaderSimple\",\n    \"_meta\": {\n      \"title\": \"Load Checkpoint\"\n    }\n  },\n  \"5\": {\n    \"inputs\": {\n      \"width\": 1024,\n      \"height\": 1024,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptyLatentImage\",\n    \"_meta\": {\n      \"title\": \"Empty Latent Image\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"beautiful scenery nature glass bottle landscape, purple galaxy bottle,\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \"text, watermark\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"8\": {\n    \"inputs\": {\n      \"samples\": [\n        \"3\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"9\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"8\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  }\n}\n",
        "output_quality": 95,
        "randomise_seeds": True,
        "force_reset_cache": False,
        "return_temp_files": False
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run fofr/any-comfyui-workflow-a100 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "82c95ab88c3fe98772f23c42c8a6d54135a5d09546eefc75ee46805b017e8913",
    "input": {
      "output_format": "webp",
      "workflow_json": "{\\n  \\"3\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 156680208700286,\\n      \\"steps\\": 10,\\n      \\"cfg\\": 2.5,\\n      \\"sampler_name\\": \\"dpmpp_2m_sde\\",\\n      \\"scheduler\\": \\"karras\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"4\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"6\\",\\n        0\\n      ],\\n      \\"negative\\": [\\n        \\"7\\",\\n        0\\n      ],\\n      \\"latent_image\\": [\\n        \\"5\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"KSampler\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"KSampler\\"\\n    }\\n  },\\n  \\"4\\": {\\n    \\"inputs\\": {\\n      \\"ckpt_name\\": \\"SDXL-Flash.safetensors\\"\\n    },\\n    \\"class_type\\": \\"CheckpointLoaderSimple\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Checkpoint\\"\\n    }\\n  },\\n  \\"5\\": {\\n    \\"inputs\\": {\\n      \\"width\\": 1024,\\n      \\"height\\": 1024,\\n      \\"batch_size\\": 1\\n    },\\n    \\"class_type\\": \\"EmptyLatentImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Empty Latent Image\\"\\n    }\\n  },\\n  \\"6\\": {\\n    \\"inputs\\": {\\n      \\"text\\": \\"beautiful scenery nature glass bottle landscape, purple galaxy bottle,\\",\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ]\\n    },\\n    \\"class_type\\": \\"CLIPTextEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"CLIP Text Encode (Prompt)\\"\\n    }\\n  },\\n  \\"7\\": {\\n    \\"inputs\\": {\\n      \\"text\\": \\"text, watermark\\",\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ]\\n    },\\n    \\"class_type\\": \\"CLIPTextEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"CLIP Text Encode (Prompt)\\"\\n    }\\n  },\\n  \\"8\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"3\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"4\\",\\n        2\\n      ]\\n    },\\n    \\"class_type\\": \\"VAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"VAE Decode\\"\\n    }\\n  },\\n  \\"9\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"8\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  }\\n}\\n",
      "output_quality": 95,
      "randomise_seeds": true,
      "force_reset_cache": false,
      "return_temp_files": false
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

{
  "completed_at": "2024-09-02T13:44:16.317224Z",
  "created_at": "2024-09-02T13:44:14.005000Z",
  "data_removed": false,
  "error": null,
  "id": "ccwrv7mvpnrj00chpbxagpjg2c",
  "input": {
    "output_format": "webp",
    "workflow_json": "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 156680208700286,\n      \"steps\": 10,\n      \"cfg\": 2.5,\n      \"sampler_name\": \"dpmpp_2m_sde\",\n      \"scheduler\": \"karras\",\n      \"denoise\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ],\n      \"positive\": [\n        \"6\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"5\",\n        0\n      ]\n    },\n    \"class_type\": \"KSampler\",\n    \"_meta\": {\n      \"title\": \"KSampler\"\n    }\n  },\n  \"4\": {\n    \"inputs\": {\n      \"ckpt_name\": \"SDXL-Flash.safetensors\"\n    },\n    \"class_type\": \"CheckpointLoaderSimple\",\n    \"_meta\": {\n      \"title\": \"Load Checkpoint\"\n    }\n  },\n  \"5\": {\n    \"inputs\": {\n      \"width\": 1024,\n      \"height\": 1024,\n      \"batch_size\": 1\n    },\n    \"class_type\": \"EmptyLatentImage\",\n    \"_meta\": {\n      \"title\": \"Empty Latent Image\"\n    }\n  },\n  \"6\": {\n    \"inputs\": {\n      \"text\": \"beautiful scenery nature glass bottle landscape, purple galaxy bottle,\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"7\": {\n    \"inputs\": {\n      \"text\": \"text, watermark\",\n      \"clip\": [\n        \"4\",\n        1\n      ]\n    },\n    \"class_type\": \"CLIPTextEncode\",\n    \"_meta\": {\n      \"title\": \"CLIP Text Encode (Prompt)\"\n    }\n  },\n  \"8\": {\n    \"inputs\": {\n      \"samples\": [\n        \"3\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"9\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"8\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  }\n}\n",
    "output_quality": 95,
    "randomise_seeds": true,
    "force_reset_cache": false,
    "return_temp_files": false
  },
  "logs": "Checking inputs\n====================================\nChecking weights\n✅ SDXL-Flash.safetensors exists in ComfyUI/models/checkpoints\n====================================\nRandomising seed to 1228588751\nRunning workflow\ngot prompt\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/10 [00:00<?, ?it/s]\n 10%|█         | 1/10 [00:00<00:01,  6.62it/s]\n 20%|██        | 2/10 [00:00<00:01,  6.25it/s]\n 30%|███       | 3/10 [00:00<00:01,  6.11it/s]\n 40%|████      | 4/10 [00:00<00:00,  6.02it/s]\n 50%|█████     | 5/10 [00:00<00:00,  5.94it/s]\n 60%|██████    | 6/10 [00:00<00:00,  5.96it/s]\n 70%|███████   | 7/10 [00:01<00:00,  6.01it/s]\n 80%|████████  | 8/10 [00:01<00:00,  6.11it/s]\n 90%|█████████ | 9/10 [00:01<00:00,  6.42it/s]\n100%|██████████| 10/10 [00:01<00:00,  6.77it/s]\n100%|██████████| 10/10 [00:01<00:00,  6.31it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 9, title: Save Image, class type: SaveImage\nPrompt executed in 1.92 seconds\noutputs:  {'9': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nComfyUI_00001_.png",
  "metrics": {
    "predict_time": 2.301965796,
    "total_time": 2.312224
  },
  "output": [
    "https://replicate.delivery/yhqm/NwatnTQUUFaPB9G3XNnzzrkOxN3pakhe4dOdEDInQ9fwM3YTA/ComfyUI_00001_.webp"
  ],
  "started_at": "2024-09-02T13:44:14.015258Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/ccwrv7mvpnrj00chpbxagpjg2c",
    "cancel": "https://api.replicate.com/v1/predictions/ccwrv7mvpnrj00chpbxagpjg2c/cancel"
  },
  "version": "3e46e50649e491a94de614d02a68f92a8f35fd14785dd1264a49680039f094f9"
}

Generated in

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This example was created by a different version, fofr/any-comfyui-workflow-a100:3e46e506.