lalimec/cog-comfy-test:418dfbcc | Run with an API on Replicate

Version

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lalimec /cog-comfy-test:418dfbcc

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: ""

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

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: 80

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=lalimec/cog-comfy-test

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 lalimec/cog-comfy-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lalimec/cog-comfy-test:418dfbcc611fda3fdabcddcae5617e6a7a5c6aa944f9db62883dd5edd49d4c64",
  {
    input: {
      output_format: "webp",
      workflow_json: "",
      output_quality: 80,
      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 lalimec/cog-comfy-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lalimec/cog-comfy-test:418dfbcc611fda3fdabcddcae5617e6a7a5c6aa944f9db62883dd5edd49d4c64",
    input={
        "output_format": "webp",
        "workflow_json": "",
        "output_quality": 80,
        "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 lalimec/cog-comfy-test 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": "lalimec/cog-comfy-test:418dfbcc611fda3fdabcddcae5617e6a7a5c6aa944f9db62883dd5edd49d4c64",
    "input": {
      "output_format": "webp",
      "workflow_json": "",
      "output_quality": 80,
      "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

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