Random rectangles, ellipses, lines, in random colors
Width.
Default: 256
Height.
Random seed.
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run andreasjansson/random-shapes using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "andreasjansson/random-shapes:4d58639f01881bcc31184121874a26d4faf5b17ab6fa49a06359b9d5776296de", { input: { width: 1024, height: 1024 } } ); // To access the file URL: console.log(output.url()); //=> "http://example.com" // To write the file to disk: fs.writeFile("my-image.png", output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
import replicate
output = replicate.run( "andreasjansson/random-shapes:4d58639f01881bcc31184121874a26d4faf5b17ab6fa49a06359b9d5776296de", input={ "width": 1024, "height": 1024 } ) print(output)
To learn more, take a look at the guide on getting started with Python.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "4d58639f01881bcc31184121874a26d4faf5b17ab6fa49a06359b9d5776296de", "input": { "width": 1024, "height": 1024 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2024-08-21T21:35:36.064427Z", "created_at": "2024-08-21T21:35:28.022000Z", "data_removed": false, "error": null, "id": "8sn5ef5s2srge0chevest1hvq0", "input": { "width": 1024, "height": 1024 }, "logs": "Using seed: 39037", "metrics": { "predict_time": 8.026886145, "total_time": 8.042427 }, "output": "https://replicate.delivery/czjl/ArApfFTZdS2lP6mNOSlmfzpj4AmVU6r14ZBGSTbeoqaO9BqmA/out.png", "started_at": "2024-08-21T21:35:28.037541Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/8sn5ef5s2srge0chevest1hvq0", "cancel": "https://api.replicate.com/v1/predictions/8sn5ef5s2srge0chevest1hvq0/cancel" }, "version": "4d58639f01881bcc31184121874a26d4faf5b17ab6fa49a06359b9d5776296de" }
Using seed: 39037
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This model runs on CPU hardware. We don't yet have enough runs of this model to provide performance information.
This model doesn't have a readme.
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.