replicategithubwc / flux-dev-controlnet

  • Public
  • 53 runs
  • A100 (80GB)
Run with an API
Playground API Examples README Versions

Input

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

npx create-replicate --model=replicategithubwc/flux-dev-controlnet
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 replicategithubwc/flux-dev-controlnet using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "replicategithubwc/flux-dev-controlnet:48fa2d298bf9bf083e31f60956f2960133b469995912a62241e2c10540f475d4",
  {
    input: {
      seed: 0,
      width: 1024,
      height: 1024,
      prompt: "aerial view, a futuristic research complex in a bright foggy jungle, hard lighting",
      model_type: "canny",
      num_outputs: 1,
      low_threshold: 100,
      guidance_scale: 3.5,
      high_threshold: 200,
      output_quality: 100,
      condition_scale: 0.7,
      num_inference_steps: 50
    }
  }
);

// 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.

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Output

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

Run time and cost

This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.