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Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
import fs from "node:fs";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run blendto/sdxl-controlnet-xformers using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"blendto/sdxl-controlnet-xformers:4eb6220820ba30965239d47a0698752f1d59c940abdbea0b9fd9c2b2e691aaf1",
{
input: {
width1: 1024,
width2: 1024,
width3: 1024,
width4: 1024,
height1: 1024,
height2: 1024,
height3: 1024,
height4: 1024,
scheduler: "K_EULER",
guidance_scale: 7.5,
negative_prompt: "",
num_inference_steps: 50,
controlnet_conditioning_scale: 0.6
}
}
);
// 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.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.