fofr/any-comfyui-workflow:8d7883b5 – Run with an API on Replicate

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fofr /any-comfyui-workflow:8d7883b5

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      "title": "Save Image"
    }
  },
  "69": {
    "inputs": {
      "filename_prefix": "ComfyUI",
      "images": [
        "65",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "Save Image"
    }
  },
  "70": {
    "inputs": {
      "style_name": "Photographic (Default)",
      "positive": "photo of a man img, high quality, film grain",
      "negative": "asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth"
    },
    "class_type": "PhotoMakerStyles",
    "_meta": {
      "title": "Apply PhotoMaker Style"
    }
  },
  "72": {
    "inputs": {
      "value": ""
    },
    "class_type": "String",
    "_meta": {
      "title": "String"
    }
  }
}

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

Default: ""

input_file

file

Input image, video, tar or zip file. Read guidance on workflows and input files here: https://github.com/replicate/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

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 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:8d7883b5a9e7968b4c85dd59c8b4e87351f4a04ac390a426b3b0421e05596e4c",
  {
    input: {
      output_format: "webp",
      workflow_json: "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\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\": \"RealVisXL_V3.0.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\": [\n        \"29\",\n        0\n      ],\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\": [\n        \"70\",\n        1\n      ],\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  \"20\": {\n    \"inputs\": {\n      \"add_noise\": \"enable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 0,\n      \"end_at_step\": 10,\n      \"return_with_leftover_noise\": \"enable\",\n      \"model\": [\n        \"53\",\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\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"21\": {\n    \"inputs\": {\n      \"add_noise\": \"disable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 10,\n      \"end_at_step\": 10000,\n      \"return_with_leftover_noise\": \"disable\",\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"20\",\n        0\n      ]\n    },\n    \"class_type\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"26\": {\n    \"inputs\": {\n      \"samples\": [\n        \"21\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"29\": {\n    \"inputs\": {\n      \"action\": \"replace\",\n      \"tidy_tags\": \"no\",\n      \"text_a\": [\n        \"70\",\n        0\n      ],\n      \"text_b\": \"/ img/\",\n      \"text_c\": \"\"\n    },\n    \"class_type\": \"StringFunction|pysssss\",\n    \"_meta\": {\n      \"title\": \"String Function 🐍\"\n    }\n  },\n  \"31\": {\n    \"inputs\": {\n      \"image1\": [\n        \"32\",\n        0\n      ],\n      \"image2\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"32\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"33\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"34\": {\n    \"inputs\": {\n      \"images\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PreviewImage\",\n    \"_meta\": {\n      \"title\": \"Preview Image\"\n    }\n  },\n  \"38\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"32\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"39\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"42\": {\n    \"inputs\": {\n      \"image1\": [\n        \"38\",\n        0\n      ],\n      \"image2\": [\n        \"39\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"45\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"46\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"47\": {\n    \"inputs\": {\n      \"image1\": [\n        \"42\",\n        0\n      ],\n      \"image2\": [\n        \"46\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"48\": {\n    \"inputs\": {\n      \"image1\": [\n        \"31\",\n        0\n      ],\n      \"image2\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"53\": {\n    \"inputs\": {\n      \"lora_name\": \"photomaker-v1.bin\",\n      \"strength_model\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ]\n    },\n    \"class_type\": \"LoraLoaderModelOnly\",\n    \"_meta\": {\n      \"title\": \"LoraLoaderModelOnly\"\n    }\n  },\n  \"54\": {\n    \"inputs\": {\n      \"trigger_word\": \"img\",\n      \"text\": [\n        \"70\",\n        0\n      ],\n      \"clip\": [\n        \"4\",\n        1\n      ],\n      \"photomaker\": [\n        \"56\",\n        0\n      ],\n      \"image\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PhotoMakerEncode\",\n    \"_meta\": {\n      \"title\": \"PhotoMaker Encode\"\n    }\n  },\n  \"56\": {\n    \"inputs\": {\n      \"name\": \"photomaker-v1.bin\"\n    },\n    \"class_type\": \"PhotoMakerLoader\",\n    \"_meta\": {\n      \"title\": \"Load PhotoMaker\"\n    }\n  },\n  \"57\": {\n    \"inputs\": {\n      \"path\": \"\",\n      \"interpolation\": \"lanczos\",\n      \"crop_position\": \"center\"\n    },\n    \"class_type\": \"PrepImagesForClipVisionFromPath\",\n    \"_meta\": {\n      \"title\": \"Prepare Images For ClipVision From Path\"\n    }\n  },\n  \"59\": {\n    \"inputs\": {\n      \"conditioning_1\": [\n        \"60\",\n        0\n      ],\n      \"conditioning_2\": [\n        \"62\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningCombine\",\n    \"_meta\": {\n      \"title\": \"Conditioning (Combine)\"\n    }\n  },\n  \"60\": {\n    \"inputs\": {\n      \"start\": 0,\n      \"end\": 0.5,\n      \"conditioning\": [\n        \"6\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"62\": {\n    \"inputs\": {\n      \"start\": 0.5,\n      \"end\": 1,\n      \"conditioning\": [\n        \"54\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"63\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"59\",\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  \"65\": {\n    \"inputs\": {\n      \"samples\": [\n        \"63\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"67\": {\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  \"68\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"26\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"69\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"65\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"70\": {\n    \"inputs\": {\n      \"style_name\": \"Photographic (Default)\",\n      \"positive\": \"photo of a man img, high quality, film grain\",\n      \"negative\": \"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\"\n    },\n    \"class_type\": \"PhotoMakerStyles\",\n    \"_meta\": {\n      \"title\": \"Apply PhotoMaker Style\"\n    }\n  },\n  \"72\": {\n    \"inputs\": {\n      \"value\": \"\"\n    },\n    \"class_type\": \"String\",\n    \"_meta\": {\n      \"title\": \"String\"\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 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/any-comfyui-workflow:8d7883b5a9e7968b4c85dd59c8b4e87351f4a04ac390a426b3b0421e05596e4c",
    input={
        "output_format": "webp",
        "workflow_json": "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\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\": \"RealVisXL_V3.0.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\": [\n        \"29\",\n        0\n      ],\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\": [\n        \"70\",\n        1\n      ],\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  \"20\": {\n    \"inputs\": {\n      \"add_noise\": \"enable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 0,\n      \"end_at_step\": 10,\n      \"return_with_leftover_noise\": \"enable\",\n      \"model\": [\n        \"53\",\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\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"21\": {\n    \"inputs\": {\n      \"add_noise\": \"disable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 10,\n      \"end_at_step\": 10000,\n      \"return_with_leftover_noise\": \"disable\",\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"20\",\n        0\n      ]\n    },\n    \"class_type\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"26\": {\n    \"inputs\": {\n      \"samples\": [\n        \"21\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"29\": {\n    \"inputs\": {\n      \"action\": \"replace\",\n      \"tidy_tags\": \"no\",\n      \"text_a\": [\n        \"70\",\n        0\n      ],\n      \"text_b\": \"/ img/\",\n      \"text_c\": \"\"\n    },\n    \"class_type\": \"StringFunction|pysssss\",\n    \"_meta\": {\n      \"title\": \"String Function 🐍\"\n    }\n  },\n  \"31\": {\n    \"inputs\": {\n      \"image1\": [\n        \"32\",\n        0\n      ],\n      \"image2\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"32\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"33\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"34\": {\n    \"inputs\": {\n      \"images\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PreviewImage\",\n    \"_meta\": {\n      \"title\": \"Preview Image\"\n    }\n  },\n  \"38\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"32\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"39\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"42\": {\n    \"inputs\": {\n      \"image1\": [\n        \"38\",\n        0\n      ],\n      \"image2\": [\n        \"39\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"45\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"46\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"47\": {\n    \"inputs\": {\n      \"image1\": [\n        \"42\",\n        0\n      ],\n      \"image2\": [\n        \"46\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"48\": {\n    \"inputs\": {\n      \"image1\": [\n        \"31\",\n        0\n      ],\n      \"image2\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"53\": {\n    \"inputs\": {\n      \"lora_name\": \"photomaker-v1.bin\",\n      \"strength_model\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ]\n    },\n    \"class_type\": \"LoraLoaderModelOnly\",\n    \"_meta\": {\n      \"title\": \"LoraLoaderModelOnly\"\n    }\n  },\n  \"54\": {\n    \"inputs\": {\n      \"trigger_word\": \"img\",\n      \"text\": [\n        \"70\",\n        0\n      ],\n      \"clip\": [\n        \"4\",\n        1\n      ],\n      \"photomaker\": [\n        \"56\",\n        0\n      ],\n      \"image\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PhotoMakerEncode\",\n    \"_meta\": {\n      \"title\": \"PhotoMaker Encode\"\n    }\n  },\n  \"56\": {\n    \"inputs\": {\n      \"name\": \"photomaker-v1.bin\"\n    },\n    \"class_type\": \"PhotoMakerLoader\",\n    \"_meta\": {\n      \"title\": \"Load PhotoMaker\"\n    }\n  },\n  \"57\": {\n    \"inputs\": {\n      \"path\": \"\",\n      \"interpolation\": \"lanczos\",\n      \"crop_position\": \"center\"\n    },\n    \"class_type\": \"PrepImagesForClipVisionFromPath\",\n    \"_meta\": {\n      \"title\": \"Prepare Images For ClipVision From Path\"\n    }\n  },\n  \"59\": {\n    \"inputs\": {\n      \"conditioning_1\": [\n        \"60\",\n        0\n      ],\n      \"conditioning_2\": [\n        \"62\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningCombine\",\n    \"_meta\": {\n      \"title\": \"Conditioning (Combine)\"\n    }\n  },\n  \"60\": {\n    \"inputs\": {\n      \"start\": 0,\n      \"end\": 0.5,\n      \"conditioning\": [\n        \"6\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"62\": {\n    \"inputs\": {\n      \"start\": 0.5,\n      \"end\": 1,\n      \"conditioning\": [\n        \"54\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"63\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"59\",\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  \"65\": {\n    \"inputs\": {\n      \"samples\": [\n        \"63\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"67\": {\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  \"68\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"26\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"69\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"65\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"70\": {\n    \"inputs\": {\n      \"style_name\": \"Photographic (Default)\",\n      \"positive\": \"photo of a man img, high quality, film grain\",\n      \"negative\": \"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\"\n    },\n    \"class_type\": \"PhotoMakerStyles\",\n    \"_meta\": {\n      \"title\": \"Apply PhotoMaker Style\"\n    }\n  },\n  \"72\": {\n    \"inputs\": {\n      \"value\": \"\"\n    },\n    \"class_type\": \"String\",\n    \"_meta\": {\n      \"title\": \"String\"\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 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": "8d7883b5a9e7968b4c85dd59c8b4e87351f4a04ac390a426b3b0421e05596e4c",
    "input": {
      "output_format": "webp",
      "workflow_json": "{\\n  \\"3\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"54\\",\\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\\": \\"RealVisXL_V3.0.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\\": [\\n        \\"29\\",\\n        0\\n      ],\\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\\": [\\n        \\"70\\",\\n        1\\n      ],\\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  \\"20\\": {\\n    \\"inputs\\": {\\n      \\"add_noise\\": \\"enable\\",\\n      \\"noise_seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"start_at_step\\": 0,\\n      \\"end_at_step\\": 10,\\n      \\"return_with_leftover_noise\\": \\"enable\\",\\n      \\"model\\": [\\n        \\"53\\",\\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\\": \\"KSamplerAdvanced\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"KSampler (Advanced)\\"\\n    }\\n  },\\n  \\"21\\": {\\n    \\"inputs\\": {\\n      \\"add_noise\\": \\"disable\\",\\n      \\"noise_seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"start_at_step\\": 10,\\n      \\"end_at_step\\": 10000,\\n      \\"return_with_leftover_noise\\": \\"disable\\",\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"54\\",\\n        0\\n      ],\\n      \\"negative\\": [\\n        \\"7\\",\\n        0\\n      ],\\n      \\"latent_image\\": [\\n        \\"20\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"KSamplerAdvanced\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"KSampler (Advanced)\\"\\n    }\\n  },\\n  \\"26\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"21\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"4\\",\\n        2\\n      ]\\n    },\\n    \\"class_type\\": \\"VAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"VAE Decode\\"\\n    }\\n  },\\n  \\"29\\": {\\n    \\"inputs\\": {\\n      \\"action\\": \\"replace\\",\\n      \\"tidy_tags\\": \\"no\\",\\n      \\"text_a\\": [\\n        \\"70\\",\\n        0\\n      ],\\n      \\"text_b\\": \\"/ img/\\",\\n      \\"text_c\\": \\"\\"\\n    },\\n    \\"class_type\\": \\"StringFunction|pysssss\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"String Function 🐍\\"\\n    }\\n  },\\n  \\"31\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"32\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"33\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"32\\": {\\n    \\"inputs\\": {\\n      \\"image\\": \\"https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png\\",\\n      \\"upload\\": \\"image\\"\\n    },\\n    \\"class_type\\": \\"LoadImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Image\\"\\n    }\\n  },\\n  \\"33\\": {\\n    \\"inputs\\": {\\n      \\"image\\": \\"https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png\\",\\n      \\"upload\\": \\"image\\"\\n    },\\n    \\"class_type\\": \\"LoadImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Image\\"\\n    }\\n  },\\n  \\"34\\": {\\n    \\"inputs\\": {\\n      \\"images\\": [\\n        \\"47\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PreviewImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Preview Image\\"\\n    }\\n  },\\n  \\"38\\": {\\n    \\"inputs\\": {\\n      \\"interpolation\\": \\"LANCZOS\\",\\n      \\"crop_position\\": \\"top\\",\\n      \\"sharpening\\": 0,\\n      \\"image\\": [\\n        \\"32\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PrepImageForClipVision\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Image For Clip Vision\\"\\n    }\\n  },\\n  \\"39\\": {\\n    \\"inputs\\": {\\n      \\"interpolation\\": \\"LANCZOS\\",\\n      \\"crop_position\\": \\"top\\",\\n      \\"sharpening\\": 0,\\n      \\"image\\": [\\n        \\"33\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PrepImageForClipVision\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Image For Clip Vision\\"\\n    }\\n  },\\n  \\"42\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"38\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"39\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"45\\": {\\n    \\"inputs\\": {\\n      \\"image\\": \\"https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png\\",\\n      \\"upload\\": \\"image\\"\\n    },\\n    \\"class_type\\": \\"LoadImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Image\\"\\n    }\\n  },\\n  \\"46\\": {\\n    \\"inputs\\": {\\n      \\"interpolation\\": \\"LANCZOS\\",\\n      \\"crop_position\\": \\"top\\",\\n      \\"sharpening\\": 0,\\n      \\"image\\": [\\n        \\"45\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PrepImageForClipVision\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Image For Clip Vision\\"\\n    }\\n  },\\n  \\"47\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"42\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"46\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"48\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"31\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"45\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"53\\": {\\n    \\"inputs\\": {\\n      \\"lora_name\\": \\"photomaker-v1.bin\\",\\n      \\"strength_model\\": 1,\\n      \\"model\\": [\\n        \\"4\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"LoraLoaderModelOnly\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"LoraLoaderModelOnly\\"\\n    }\\n  },\\n  \\"54\\": {\\n    \\"inputs\\": {\\n      \\"trigger_word\\": \\"img\\",\\n      \\"text\\": [\\n        \\"70\\",\\n        0\\n      ],\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ],\\n      \\"photomaker\\": [\\n        \\"56\\",\\n        0\\n      ],\\n      \\"image\\": [\\n        \\"47\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PhotoMakerEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"PhotoMaker Encode\\"\\n    }\\n  },\\n  \\"56\\": {\\n    \\"inputs\\": {\\n      \\"name\\": \\"photomaker-v1.bin\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerLoader\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load PhotoMaker\\"\\n    }\\n  },\\n  \\"57\\": {\\n    \\"inputs\\": {\\n      \\"path\\": \\"\\",\\n      \\"interpolation\\": \\"lanczos\\",\\n      \\"crop_position\\": \\"center\\"\\n    },\\n    \\"class_type\\": \\"PrepImagesForClipVisionFromPath\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Images For ClipVision From Path\\"\\n    }\\n  },\\n  \\"59\\": {\\n    \\"inputs\\": {\\n      \\"conditioning_1\\": [\\n        \\"60\\",\\n        0\\n      ],\\n      \\"conditioning_2\\": [\\n        \\"62\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningCombine\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Conditioning (Combine)\\"\\n    }\\n  },\\n  \\"60\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0,\\n      \\"end\\": 0.5,\\n      \\"conditioning\\": [\\n        \\"6\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"62\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0.5,\\n      \\"end\\": 1,\\n      \\"conditioning\\": [\\n        \\"54\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"63\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"59\\",\\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  \\"65\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"63\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"4\\",\\n        2\\n      ]\\n    },\\n    \\"class_type\\": \\"VAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"VAE Decode\\"\\n    }\\n  },\\n  \\"67\\": {\\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  \\"68\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"26\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"69\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"65\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"70\\": {\\n    \\"inputs\\": {\\n      \\"style_name\\": \\"Photographic (Default)\\",\\n      \\"positive\\": \\"photo of a man img, high quality, film grain\\",\\n      \\"negative\\": \\"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerStyles\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Apply PhotoMaker Style\\"\\n    }\\n  },\\n  \\"72\\": {\\n    \\"inputs\\": {\\n      \\"value\\": \\"\\"\\n    },\\n    \\"class_type\\": \\"String\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"String\\"\\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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/fofr/any-comfyui-workflow@sha256:8d7883b5a9e7968b4c85dd59c8b4e87351f4a04ac390a426b3b0421e05596e4c \
  -i 'output_format="webp"' \
  -i $'workflow_json="{\\n  \\"3\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"54\\",\\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\\": \\"RealVisXL_V3.0.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\\": [\\n        \\"29\\",\\n        0\\n      ],\\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\\": [\\n        \\"70\\",\\n        1\\n      ],\\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   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\\"tidy_tags\\": \\"no\\",\\n      \\"text_a\\": [\\n        \\"70\\",\\n        0\\n      ],\\n      \\"text_b\\": \\"/ img/\\",\\n      \\"text_c\\": \\"\\"\\n    },\\n    \\"class_type\\": \\"StringFunction|pysssss\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"String Function 🐍\\"\\n    }\\n  },\\n  \\"31\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"32\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"33\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"32\\": {\\n    \\"inputs\\": {\\n      \\"image\\": \\"https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png\\",\\n      \\"upload\\": \\"image\\"\\n    },\\n    \\"class_type\\": \\"LoadImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Image\\"\\n    }\\n  },\\n  \\"33\\": {\\n    \\"inputs\\": {\\n      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\\"crop_position\\": \\"top\\",\\n      \\"sharpening\\": 0,\\n      \\"image\\": [\\n        \\"33\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PrepImageForClipVision\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Image For Clip Vision\\"\\n    }\\n  },\\n  \\"42\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"38\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"39\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"45\\": {\\n    \\"inputs\\": {\\n      \\"image\\": \\"https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png\\",\\n      \\"upload\\": \\"image\\"\\n    },\\n    \\"class_type\\": \\"LoadImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load Image\\"\\n    }\\n  },\\n  \\"46\\": {\\n    \\"inputs\\": {\\n      \\"interpolation\\": 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\\"strength_model\\": 1,\\n      \\"model\\": [\\n        \\"4\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"LoraLoaderModelOnly\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"LoraLoaderModelOnly\\"\\n    }\\n  },\\n  \\"54\\": {\\n    \\"inputs\\": {\\n      \\"trigger_word\\": \\"img\\",\\n      \\"text\\": [\\n        \\"70\\",\\n        0\\n      ],\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ],\\n      \\"photomaker\\": [\\n        \\"56\\",\\n        0\\n      ],\\n      \\"image\\": [\\n        \\"47\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PhotoMakerEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"PhotoMaker Encode\\"\\n    }\\n  },\\n  \\"56\\": {\\n    \\"inputs\\": {\\n      \\"name\\": \\"photomaker-v1.bin\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerLoader\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load PhotoMaker\\"\\n    }\\n  },\\n  \\"57\\": {\\n    \\"inputs\\": {\\n      \\"path\\": \\"\\",\\n      \\"interpolation\\": \\"lanczos\\",\\n      \\"crop_position\\": \\"center\\"\\n    },\\n    \\"class_type\\": \\"PrepImagesForClipVisionFromPath\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Images For ClipVision From Path\\"\\n    }\\n  },\\n  \\"59\\": {\\n    \\"inputs\\": {\\n      \\"conditioning_1\\": [\\n        \\"60\\",\\n        0\\n      ],\\n      \\"conditioning_2\\": [\\n        \\"62\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningCombine\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Conditioning (Combine)\\"\\n    }\\n  },\\n  \\"60\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0,\\n      \\"end\\": 0.5,\\n      \\"conditioning\\": [\\n        \\"6\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"62\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0.5,\\n      \\"end\\": 1,\\n      \\"conditioning\\": [\\n        \\"54\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"63\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"59\\",\\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  \\"65\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"63\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"4\\",\\n        2\\n      ]\\n    },\\n    \\"class_type\\": \\"VAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"VAE Decode\\"\\n    }\\n  },\\n  \\"67\\": {\\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  \\"68\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"26\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"69\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"65\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"70\\": {\\n    \\"inputs\\": {\\n      \\"style_name\\": \\"Photographic (Default)\\",\\n      \\"positive\\": \\"photo of a man img, high quality, film grain\\",\\n      \\"negative\\": \\"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerStyles\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Apply PhotoMaker Style\\"\\n    }\\n  },\\n  \\"72\\": {\\n    \\"inputs\\": {\\n      \\"value\\": \\"\\"\\n    },\\n    \\"class_type\\": \\"String\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"String\\"\\n    }\\n  }\\n}"' \
  -i 'output_quality=95' \
  -i 'randomise_seeds=true' \
  -i 'force_reset_cache=false' \
  -i 'return_temp_files=false'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/fofr/any-comfyui-workflow@sha256:8d7883b5a9e7968b4c85dd59c8b4e87351f4a04ac390a426b3b0421e05596e4c
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "output_format": "webp",
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\\"batch_size\\": 1\\n    },\\n    \\"class_type\\": \\"EmptyLatentImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Empty Latent Image\\"\\n    }\\n  },\\n  \\"6\\": {\\n    \\"inputs\\": {\\n      \\"text\\": [\\n        \\"29\\",\\n        0\\n      ],\\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\\": [\\n        \\"70\\",\\n        1\\n      ],\\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    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\\"interpolation\\": \\"LANCZOS\\",\\n      \\"crop_position\\": \\"top\\",\\n      \\"sharpening\\": 0,\\n      \\"image\\": [\\n        \\"45\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PrepImageForClipVision\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Image For Clip Vision\\"\\n    }\\n  },\\n  \\"47\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"42\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"46\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"48\\": {\\n    \\"inputs\\": {\\n      \\"image1\\": [\\n        \\"31\\",\\n        0\\n      ],\\n      \\"image2\\": [\\n        \\"45\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ImageBatch\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Batch Images\\"\\n    }\\n  },\\n  \\"53\\": {\\n    \\"inputs\\": {\\n      \\"lora_name\\": \\"photomaker-v1.bin\\",\\n      \\"strength_model\\": 1,\\n      \\"model\\": [\\n        \\"4\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"LoraLoaderModelOnly\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"LoraLoaderModelOnly\\"\\n    }\\n  },\\n  \\"54\\": {\\n    \\"inputs\\": {\\n      \\"trigger_word\\": \\"img\\",\\n      \\"text\\": [\\n        \\"70\\",\\n        0\\n      ],\\n      \\"clip\\": [\\n        \\"4\\",\\n        1\\n      ],\\n      \\"photomaker\\": [\\n        \\"56\\",\\n        0\\n      ],\\n      \\"image\\": [\\n        \\"47\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"PhotoMakerEncode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"PhotoMaker Encode\\"\\n    }\\n  },\\n  \\"56\\": {\\n    \\"inputs\\": {\\n      \\"name\\": \\"photomaker-v1.bin\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerLoader\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Load PhotoMaker\\"\\n    }\\n  },\\n  \\"57\\": {\\n    \\"inputs\\": {\\n      \\"path\\": \\"\\",\\n      \\"interpolation\\": \\"lanczos\\",\\n      \\"crop_position\\": \\"center\\"\\n    },\\n    \\"class_type\\": \\"PrepImagesForClipVisionFromPath\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Prepare Images For ClipVision From Path\\"\\n    }\\n  },\\n  \\"59\\": {\\n    \\"inputs\\": {\\n      \\"conditioning_1\\": [\\n        \\"60\\",\\n        0\\n      ],\\n      \\"conditioning_2\\": [\\n        \\"62\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningCombine\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Conditioning (Combine)\\"\\n    }\\n  },\\n  \\"60\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0,\\n      \\"end\\": 0.5,\\n      \\"conditioning\\": [\\n        \\"6\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"62\\": {\\n    \\"inputs\\": {\\n      \\"start\\": 0.5,\\n      \\"end\\": 1,\\n      \\"conditioning\\": [\\n        \\"54\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"ConditioningSetTimestepRange\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"ConditioningSetTimestepRange\\"\\n    }\\n  },\\n  \\"63\\": {\\n    \\"inputs\\": {\\n      \\"seed\\": 816687600925376,\\n      \\"steps\\": 20,\\n      \\"cfg\\": 5,\\n      \\"sampler_name\\": \\"euler\\",\\n      \\"scheduler\\": \\"normal\\",\\n      \\"denoise\\": 1,\\n      \\"model\\": [\\n        \\"53\\",\\n        0\\n      ],\\n      \\"positive\\": [\\n        \\"59\\",\\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  \\"65\\": {\\n    \\"inputs\\": {\\n      \\"samples\\": [\\n        \\"63\\",\\n        0\\n      ],\\n      \\"vae\\": [\\n        \\"4\\",\\n        2\\n      ]\\n    },\\n    \\"class_type\\": \\"VAEDecode\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"VAE Decode\\"\\n    }\\n  },\\n  \\"67\\": {\\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  \\"68\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"26\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"69\\": {\\n    \\"inputs\\": {\\n      \\"filename_prefix\\": \\"ComfyUI\\",\\n      \\"images\\": [\\n        \\"65\\",\\n        0\\n      ]\\n    },\\n    \\"class_type\\": \\"SaveImage\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Save Image\\"\\n    }\\n  },\\n  \\"70\\": {\\n    \\"inputs\\": {\\n      \\"style_name\\": \\"Photographic (Default)\\",\\n      \\"positive\\": \\"photo of a man img, high quality, film grain\\",\\n      \\"negative\\": \\"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\\"\\n    },\\n    \\"class_type\\": \\"PhotoMakerStyles\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"Apply PhotoMaker Style\\"\\n    }\\n  },\\n  \\"72\\": {\\n    \\"inputs\\": {\\n      \\"value\\": \\"\\"\\n    },\\n    \\"class_type\\": \\"String\\",\\n    \\"_meta\\": {\\n      \\"title\\": \\"String\\"\\n    }\\n  }\\n}",
      "output_quality": 95,
      "randomise_seeds": true,
      "force_reset_cache": false,
      "return_temp_files": false
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

{
  "completed_at": "2024-01-22T15:19:29.288347Z",
  "created_at": "2024-01-22T15:19:13.803971Z",
  "data_removed": false,
  "error": null,
  "id": "fmquundbilavgmvyswtzynbtam",
  "input": {
    "workflow_json": "{\n  \"3\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\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\": \"RealVisXL_V3.0.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\": [\n        \"29\",\n        0\n      ],\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\": [\n        \"70\",\n        1\n      ],\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  \"20\": {\n    \"inputs\": {\n      \"add_noise\": \"enable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 0,\n      \"end_at_step\": 10,\n      \"return_with_leftover_noise\": \"enable\",\n      \"model\": [\n        \"53\",\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\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"21\": {\n    \"inputs\": {\n      \"add_noise\": \"disable\",\n      \"noise_seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"start_at_step\": 10,\n      \"end_at_step\": 10000,\n      \"return_with_leftover_noise\": \"disable\",\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"54\",\n        0\n      ],\n      \"negative\": [\n        \"7\",\n        0\n      ],\n      \"latent_image\": [\n        \"20\",\n        0\n      ]\n    },\n    \"class_type\": \"KSamplerAdvanced\",\n    \"_meta\": {\n      \"title\": \"KSampler (Advanced)\"\n    }\n  },\n  \"26\": {\n    \"inputs\": {\n      \"samples\": [\n        \"21\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"29\": {\n    \"inputs\": {\n      \"action\": \"replace\",\n      \"tidy_tags\": \"no\",\n      \"text_a\": [\n        \"70\",\n        0\n      ],\n      \"text_b\": \"/ img/\",\n      \"text_c\": \"\"\n    },\n    \"class_type\": \"StringFunction|pysssss\",\n    \"_meta\": {\n      \"title\": \"String Function 🐍\"\n    }\n  },\n  \"31\": {\n    \"inputs\": {\n      \"image1\": [\n        \"32\",\n        0\n      ],\n      \"image2\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"32\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"33\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"34\": {\n    \"inputs\": {\n      \"images\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PreviewImage\",\n    \"_meta\": {\n      \"title\": \"Preview Image\"\n    }\n  },\n  \"38\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"32\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"39\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"33\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"42\": {\n    \"inputs\": {\n      \"image1\": [\n        \"38\",\n        0\n      ],\n      \"image2\": [\n        \"39\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"45\": {\n    \"inputs\": {\n      \"image\": \"https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png\",\n      \"upload\": \"image\"\n    },\n    \"class_type\": \"LoadImage\",\n    \"_meta\": {\n      \"title\": \"Load Image\"\n    }\n  },\n  \"46\": {\n    \"inputs\": {\n      \"interpolation\": \"LANCZOS\",\n      \"crop_position\": \"top\",\n      \"sharpening\": 0,\n      \"image\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"PrepImageForClipVision\",\n    \"_meta\": {\n      \"title\": \"Prepare Image For Clip Vision\"\n    }\n  },\n  \"47\": {\n    \"inputs\": {\n      \"image1\": [\n        \"42\",\n        0\n      ],\n      \"image2\": [\n        \"46\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"48\": {\n    \"inputs\": {\n      \"image1\": [\n        \"31\",\n        0\n      ],\n      \"image2\": [\n        \"45\",\n        0\n      ]\n    },\n    \"class_type\": \"ImageBatch\",\n    \"_meta\": {\n      \"title\": \"Batch Images\"\n    }\n  },\n  \"53\": {\n    \"inputs\": {\n      \"lora_name\": \"photomaker-v1.bin\",\n      \"strength_model\": 1,\n      \"model\": [\n        \"4\",\n        0\n      ]\n    },\n    \"class_type\": \"LoraLoaderModelOnly\",\n    \"_meta\": {\n      \"title\": \"LoraLoaderModelOnly\"\n    }\n  },\n  \"54\": {\n    \"inputs\": {\n      \"trigger_word\": \"img\",\n      \"text\": [\n        \"70\",\n        0\n      ],\n      \"clip\": [\n        \"4\",\n        1\n      ],\n      \"photomaker\": [\n        \"56\",\n        0\n      ],\n      \"image\": [\n        \"47\",\n        0\n      ]\n    },\n    \"class_type\": \"PhotoMakerEncode\",\n    \"_meta\": {\n      \"title\": \"PhotoMaker Encode\"\n    }\n  },\n  \"56\": {\n    \"inputs\": {\n      \"name\": \"photomaker-v1.bin\"\n    },\n    \"class_type\": \"PhotoMakerLoader\",\n    \"_meta\": {\n      \"title\": \"Load PhotoMaker\"\n    }\n  },\n  \"57\": {\n    \"inputs\": {\n      \"path\": \"\",\n      \"interpolation\": \"lanczos\",\n      \"crop_position\": \"center\"\n    },\n    \"class_type\": \"PrepImagesForClipVisionFromPath\",\n    \"_meta\": {\n      \"title\": \"Prepare Images For ClipVision From Path\"\n    }\n  },\n  \"59\": {\n    \"inputs\": {\n      \"conditioning_1\": [\n        \"60\",\n        0\n      ],\n      \"conditioning_2\": [\n        \"62\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningCombine\",\n    \"_meta\": {\n      \"title\": \"Conditioning (Combine)\"\n    }\n  },\n  \"60\": {\n    \"inputs\": {\n      \"start\": 0,\n      \"end\": 0.5,\n      \"conditioning\": [\n        \"6\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"62\": {\n    \"inputs\": {\n      \"start\": 0.5,\n      \"end\": 1,\n      \"conditioning\": [\n        \"54\",\n        0\n      ]\n    },\n    \"class_type\": \"ConditioningSetTimestepRange\",\n    \"_meta\": {\n      \"title\": \"ConditioningSetTimestepRange\"\n    }\n  },\n  \"63\": {\n    \"inputs\": {\n      \"seed\": 816687600925376,\n      \"steps\": 20,\n      \"cfg\": 5,\n      \"sampler_name\": \"euler\",\n      \"scheduler\": \"normal\",\n      \"denoise\": 1,\n      \"model\": [\n        \"53\",\n        0\n      ],\n      \"positive\": [\n        \"59\",\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  \"65\": {\n    \"inputs\": {\n      \"samples\": [\n        \"63\",\n        0\n      ],\n      \"vae\": [\n        \"4\",\n        2\n      ]\n    },\n    \"class_type\": \"VAEDecode\",\n    \"_meta\": {\n      \"title\": \"VAE Decode\"\n    }\n  },\n  \"67\": {\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  \"68\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"26\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"69\": {\n    \"inputs\": {\n      \"filename_prefix\": \"ComfyUI\",\n      \"images\": [\n        \"65\",\n        0\n      ]\n    },\n    \"class_type\": \"SaveImage\",\n    \"_meta\": {\n      \"title\": \"Save Image\"\n    }\n  },\n  \"70\": {\n    \"inputs\": {\n      \"style_name\": \"Photographic (Default)\",\n      \"positive\": \"photo of a man img, high quality, film grain\",\n      \"negative\": \"asymmetry, worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth\"\n    },\n    \"class_type\": \"PhotoMakerStyles\",\n    \"_meta\": {\n      \"title\": \"Apply PhotoMaker Style\"\n    }\n  },\n  \"72\": {\n    \"inputs\": {\n      \"value\": \"\"\n    },\n    \"class_type\": \"String\",\n    \"_meta\": {\n      \"title\": \"String\"\n    }\n  }\n}",
    "randomise_seeds": true,
    "return_temp_files": false
  },
  "logs": "Checking weights\n✅ photomaker-v1.bin\n✅ RealVisXL_V3.0.safetensors\n====================================\nChecking inputs\nDownloading https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.44.png\n✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.44.png\nDownloading https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.50.png\n✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.50.png\nDownloading https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.45.06.png\n✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.45.06.png\n====================================\nRandomising seed to 1060624196\nRandomising noise_seed to 3974953430\nRandomising noise_seed to 1779374291\nRandomising seed to 4027554927\nRunning workflow\ngot prompt\nExecuting node 3, title: KSampler, class type: KSampler\n  0%|          | 0/20 [00:00<?, ?it/s]\n 10%|█         | 2/20 [00:00<00:02,  7.09it/s]\n 15%|█▌        | 3/20 [00:00<00:02,  6.08it/s]\n 20%|██        | 4/20 [00:00<00:02,  5.66it/s]\n 25%|██▌       | 5/20 [00:00<00:02,  5.44it/s]\n 30%|███       | 6/20 [00:01<00:02,  5.27it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  5.19it/s]\n 40%|████      | 8/20 [00:01<00:02,  5.13it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  5.10it/s]\n 50%|█████     | 10/20 [00:01<00:01,  5.08it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  5.06it/s]\n 60%|██████    | 12/20 [00:02<00:01,  5.04it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  5.03it/s]\n 70%|███████   | 14/20 [00:02<00:01,  5.02it/s]\n 75%|███████▌  | 15/20 [00:02<00:00,  5.05it/s]\n 80%|████████  | 16/20 [00:03<00:00,  5.06it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  5.06it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  5.06it/s]\n 95%|█████████▌| 19/20 [00:03<00:00,  5.06it/s]\n100%|██████████| 20/20 [00:03<00:00,  5.06it/s]\n100%|██████████| 20/20 [00:03<00:00,  5.19it/s]\nExecuting node 8, title: VAE Decode, class type: VAEDecode\nExecuting node 67, title: Save Image, class type: SaveImage\nExecuting node 63, title: KSampler, class type: KSampler\n  0%|          | 0/20 [00:00<?, ?it/s]\n 10%|█         | 2/20 [00:00<00:02,  7.10it/s]\n 15%|█▌        | 3/20 [00:00<00:02,  6.10it/s]\n 20%|██        | 4/20 [00:00<00:02,  5.68it/s]\n 25%|██▌       | 5/20 [00:00<00:02,  5.46it/s]\n 30%|███       | 6/20 [00:01<00:02,  5.29it/s]\n 35%|███▌      | 7/20 [00:01<00:02,  5.22it/s]\n 40%|████      | 8/20 [00:01<00:02,  5.17it/s]\n 45%|████▌     | 9/20 [00:01<00:02,  5.14it/s]\n 50%|█████     | 10/20 [00:01<00:01,  5.12it/s]\n 55%|█████▌    | 11/20 [00:02<00:01,  5.09it/s]\n 60%|██████    | 12/20 [00:02<00:01,  5.08it/s]\n 65%|██████▌   | 13/20 [00:02<00:01,  5.07it/s]\n 70%|███████   | 14/20 [00:02<00:01,  5.07it/s]\n 75%|███████▌  | 15/20 [00:02<00:00,  5.06it/s]\n 80%|████████  | 16/20 [00:03<00:00,  5.06it/s]\n 85%|████████▌ | 17/20 [00:03<00:00,  5.06it/s]\n 90%|█████████ | 18/20 [00:03<00:00,  5.06it/s]\n 95%|█████████▌| 19/20 [00:03<00:00,  5.06it/s]\n100%|██████████| 20/20 [00:03<00:00,  5.05it/s]\n100%|██████████| 20/20 [00:03<00:00,  5.21it/s]\nExecuting node 65, title: VAE Decode, class type: VAEDecode\nExecuting node 69, title: Save Image, class type: SaveImage\nExecuting node 20, title: KSampler (Advanced), class type: KSamplerAdvanced\n  0%|          | 0/10 [00:00<?, ?it/s]\n 20%|██        | 2/10 [00:00<00:01,  7.09it/s]\n 30%|███       | 3/10 [00:00<00:01,  6.08it/s]\n 40%|████      | 4/10 [00:00<00:01,  5.65it/s]\n 50%|█████     | 5/10 [00:00<00:00,  5.43it/s]\n 60%|██████    | 6/10 [00:01<00:00,  5.29it/s]\n 70%|███████   | 7/10 [00:01<00:00,  5.22it/s]\n 80%|████████  | 8/10 [00:01<00:00,  5.16it/s]\n 90%|█████████ | 9/10 [00:01<00:00,  5.13it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.11it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.36it/s]\nExecuting node 21, title: KSampler (Advanced), class type: KSamplerAdvanced\n  0%|          | 0/10 [00:00<?, ?it/s]\n 20%|██        | 2/10 [00:00<00:01,  7.05it/s]\n 30%|███       | 3/10 [00:00<00:01,  6.06it/s]\n 40%|████      | 4/10 [00:00<00:01,  5.64it/s]\n 50%|█████     | 5/10 [00:00<00:00,  5.42it/s]\n 60%|██████    | 6/10 [00:01<00:00,  5.29it/s]\n 70%|███████   | 7/10 [00:01<00:00,  5.21it/s]\n 80%|████████  | 8/10 [00:01<00:00,  5.16it/s]\n 90%|█████████ | 9/10 [00:01<00:00,  5.12it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.09it/s]\n100%|██████████| 10/10 [00:01<00:00,  5.35it/s]\nExecuting node 26, title: VAE Decode, class type: VAEDecode\nExecuting node 68, title: Save Image, class type: SaveImage\nPrompt executed in 13.12 seconds\noutputs:  {'29': {'text': ['cinematic photo photo of a man, high quality, film grain . 35mm photograph, film, bokeh, professional, 4k, highly detailed']}, '34': {'images': [{'filename': 'ComfyUI_temp_cuazv_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_cuazv_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_cuazv_00003_.png', 'subfolder': '', 'type': 'temp'}]}, '67': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '69': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}, '68': {'images': [{'filename': 'ComfyUI_00003_.png', 'subfolder': '', 'type': 'output'}]}}\n====================================\nContents of /tmp/outputs:\nComfyUI_00001_.png\nComfyUI_00002_.png\nComfyUI_00003_.png",
  "metrics": {
    "predict_time": 15.472815,
    "total_time": 15.484376
  },
  "output": [
    "https://replicate.delivery/pbxt/YbeAK6ZmjvSsb6Dkf0WSQLvtnpeAT6fRzVDC5tKdYceefyhHJA/ComfyUI_00001_.png",
    "https://replicate.delivery/pbxt/lstKJyqpGHoOGB5KTrxhYJjU1lOygaf759lkvveiOzTAmDPSA/ComfyUI_00002_.png",
    "https://replicate.delivery/pbxt/MyRv4zkLcZ7jM1QJUZEa7wFMrckKVfPyOSkXJ5age37AmDPSA/ComfyUI_00003_.png"
  ],
  "started_at": "2024-01-22T15:19:13.815532Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/fmquundbilavgmvyswtzynbtam",
    "cancel": "https://api.replicate.com/v1/predictions/fmquundbilavgmvyswtzynbtam/cancel"
  },
  "version": "b1e167ff5cd892acfb2a2698588d899360911b7569503789f558cc818189e7ff"
}

Generated in

15.5 seconds

Tweak itReport

Checking weights
✅ photomaker-v1.bin
✅ RealVisXL_V3.0.safetensors
====================================
Checking inputs
Downloading https://replicate.delivery/pbxt/KFNauNDOaImWQhgoxtVSVCvBg5nk32c2x6CdclmSOGm8m5e0/Screenshot%202024-01-18%20at%2009.44.44.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.44.png
✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.44.png
Downloading https://replicate.delivery/pbxt/KFNaudqUV40O5ua2X6F52W7uw7dCkAn8bPTczl7mzZWBbgKY/Screenshot%202024-01-18%20at%2009.44.50.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.50.png
✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.44.50.png
Downloading https://replicate.delivery/pbxt/KFNauL1WWGAsKYtrxKwCP4wvv66ecsYIepNikgMRe7vVR58q/Screenshot%202024-01-18%20at%2009.45.06.png to /tmp/inputs/Screenshot%202024-01-18%20at%2009.45.06.png
✅ /tmp/inputs/Screenshot%202024-01-18%20at%2009.45.06.png
====================================
Randomising seed to 1060624196
Randomising noise_seed to 3974953430
Randomising noise_seed to 1779374291
Randomising seed to 4027554927
Running workflow
got prompt
Executing node 3, title: KSampler, class type: KSampler
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Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 67, title: Save Image, class type: SaveImage
Executing node 63, title: KSampler, class type: KSampler
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Executing node 65, title: VAE Decode, class type: VAEDecode
Executing node 69, title: Save Image, class type: SaveImage
Executing node 20, title: KSampler (Advanced), class type: KSamplerAdvanced
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Executing node 21, title: KSampler (Advanced), class type: KSamplerAdvanced
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Executing node 26, title: VAE Decode, class type: VAEDecode
Executing node 68, title: Save Image, class type: SaveImage
Prompt executed in 13.12 seconds
outputs:  {'29': {'text': ['cinematic photo photo of a man, high quality, film grain . 35mm photograph, film, bokeh, professional, 4k, highly detailed']}, '34': {'images': [{'filename': 'ComfyUI_temp_cuazv_00001_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_cuazv_00002_.png', 'subfolder': '', 'type': 'temp'}, {'filename': 'ComfyUI_temp_cuazv_00003_.png', 'subfolder': '', 'type': 'temp'}]}, '67': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '69': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}, '68': {'images': [{'filename': 'ComfyUI_00003_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png
ComfyUI_00003_.png

This example was created by a different version, fofr/any-comfyui-workflow:b1e167ff.