Generates goo
Format of the output (image or video)
Default: "png"
Dimension of the output image
Default: 512
Height of the output image
Seed for the random number generator
Default: -1
Default: 1
Default: 3
Speed of the goo animation effect
Default: 2
Number of frames for video output (only used when format is mp4)
Default: 600
Frames per second for video output (only used when format is mp4)
Default: 60
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 replicate/goo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "replicate/goo:47d99faae8ef2b6acf728fb18a06a1435996a724372763551bae379f3d088080", { input: { fps: 60, seed: -1, depth: 3, scale: 2, speed: 2, width: 1024, format: "mp4", height: 1024, num_frames: 600 } } ); // 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( "replicate/goo:47d99faae8ef2b6acf728fb18a06a1435996a724372763551bae379f3d088080", input={ "fps": 60, "seed": -1, "depth": 3, "scale": 2, "speed": 2, "width": 1024, "format": "mp4", "height": 1024, "num_frames": 600 } ) 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": "replicate/goo:47d99faae8ef2b6acf728fb18a06a1435996a724372763551bae379f3d088080", "input": { "fps": 60, "seed": -1, "depth": 3, "scale": 2, "speed": 2, "width": 1024, "format": "mp4", "height": 1024, "num_frames": 600 } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
{ "completed_at": "2025-03-12T04:06:34.466307Z", "created_at": "2025-03-12T04:06:18.044000Z", "data_removed": false, "error": null, "id": "g0nwqxs2qhrmc0cnh248x740v8", "input": { "fps": 60, "depth": 3, "scale": 2, "speed": 2, "width": 1024, "format": "mp4", "height": 1024, "num_frames": 600 }, "logs": null, "metrics": { "predict_time": 8.960117893, "total_time": 16.422307 }, "output": "https://replicate.delivery/xezq/cSkUWr5uQY5YP5nwuqfZyQUxPLd0ooBejWxp7oYwmJBKprXUA/output.mp4", "started_at": "2025-03-12T04:06:25.506189Z", "status": "succeeded", "urls": { "stream": "https://stream.replicate.com/v1/files/bcwr-4q3u7xunxut5puhbfhyrvmcuqwgwpkq5anjucf2z5kcsebs53fka", "get": "https://api.replicate.com/v1/predictions/g0nwqxs2qhrmc0cnh248x740v8", "cancel": "https://api.replicate.com/v1/predictions/g0nwqxs2qhrmc0cnh248x740v8/cancel" }, "version": "2b584b744053a34d738ef83ea0adef3fbf6c11ccb1cf6c270eace8c66cec624b" }
This output was created using a different version of the model, replicate/goo:2b584b74.
View more examples
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 is a language model that can be used to obtain document embeddings suitable for downstream tasks like semantic search and clustering.
Train your own custom Stable Diffusion model using a small set of images
A language model by Google for tasks like classification, summarization, and more
A large language model by EleutherAI
Transformers implementation of the LLaMA language model
Classifies images with ResNet-50
Train your own custom RVC model
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.