jagilley
/
controlnet-hough
Modify images using M-LSD line detection
Run jagilley/controlnet-hough with an API
Use one of our client libraries to get started quickly.
Set the REPLICATE_API_TOKEN environment variable
export REPLICATE_API_TOKEN=<paste-your-token-here>Learn more about authentication
Install Replicate’s Node.js client library
npm install replicateRun jagilley/controlnet-hough using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
import Replicate from "replicate";
const replicate = new Replicate();
const input = {
image: "https://replicate.delivery/pbxt/IJZOELWrncBcjdE1s5Ko8ou35ZOxjNxDqMf0BhoRUAtv76u4/room.png",
prompt: "a cheerful modernist bedroom"
};
const output = await replicate.run("jagilley/controlnet-hough:854e8727697a057c525cdb45ab037f64ecca770a1769cc52287c2e56472a247b", { input });
import { writeFile } from "node:fs/promises";
for (const [index, item] of Object.entries(output)) {
await writeFile(`output_${index}.png`, item);
}
//=> output_0.png, output_1.png written to disk