anotherjesse / dreambuilder-controlnet-demo

  • Public
  • 7 runs
  • T4
Iterate in playground

Input

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

npx create-replicate --model=anotherjesse/dreambuilder-controlnet-demo
or set up a project from scratch
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 anotherjesse/dreambuilder-controlnet-demo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "anotherjesse/dreambuilder-controlnet-demo:7cb396246082fd19bfc7bef557c06bd65368cc8752b0367418121fd095f229c8",
  {
    input: {
      width: 512,
      height: 512,
      prompt: "a photo of bfirsh",
      scheduler: "DPMSolverMultistep",
      num_outputs: 1,
      guidance_scale: 7.5,
      prompt_strength: 0.8,
      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.

Output

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

Run time and cost

This model runs on Nvidia T4 GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.