pieceof/comfyui-docker:c25f14ca | Run with an API on Replicate

Version

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pieceof /comfyui-docker:c25f14ca

Input

workflow_json

string

Shift + Return to add a new line

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: ""

task_id

string

Shift + Return to add a new line

Task ID for the current prediction. This is used to track the progress of the prediction.

Default: ""

input_file

file

Input image, 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

randomise_seeds

boolean

Automatically randomise seeds (seed, noise_seed, rand_seed)

Default: true

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

npx create-replicate --model=pieceof/comfyui-docker

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";
import fs from "node:fs";

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

Run pieceof/comfyui-docker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pieceof/comfyui-docker:c25f14ca562eaaf858b38169e5f00dbda454886da9ea46e5824368204d6d9a1f",
  {
    input: {
      task_id: "",
      workflow_json: "",
      randomise_seeds: true,
      return_temp_files: false
    }
  }
);

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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 pieceof/comfyui-docker using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pieceof/comfyui-docker:c25f14ca562eaaf858b38169e5f00dbda454886da9ea46e5824368204d6d9a1f",
    input={
        "task_id": "",
        "workflow_json": "",
        "randomise_seeds": True,
        "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 pieceof/comfyui-docker 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": "pieceof/comfyui-docker:c25f14ca562eaaf858b38169e5f00dbda454886da9ea46e5824368204d6d9a1f",
    "input": {
      "task_id": "",
      "workflow_json": "",
      "randomise_seeds": true,
      "return_temp_files": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.