replicate/goo – Run with an API on Replicate

Input

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

npx create-replicate --model=replicate/goo

or set up a project from scratch

Install Replicate’s Node.js client library:

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";

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.

Install Replicate’s Python client library:

pip 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 the client:

import replicate

Run replicate/goo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run replicate/goo using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "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.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/replicate/goo@sha256:47d99faae8ef2b6acf728fb18a06a1435996a724372763551bae379f3d088080 \
  -i 'fps=60' \
  -i 'seed=-1' \
  -i 'depth=3' \
  -i 'scale=2' \
  -i 'speed=2' \
  -i 'width=1024' \
  -i 'format="mp4"' \
  -i 'height=1024' \
  -i 'num_frames=600'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/replicate/goo@sha256:47d99faae8ef2b6acf728fb18a06a1435996a724372763551bae379f3d088080
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "fps": 60,
      "seed": -1,
      "depth": 3,
      "scale": 2,
      "speed": 2,
      "width": 1024,
      "format": "mp4",
      "height": 1024,
      "num_frames": 600
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

Generated in

9.0 seconds

Tweak it ShareReport

This output was created using a different version of the model, replicate/goo:2b584b74.

Run time and cost

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

replicate / goo

Input

Output

Examples

Run time and cost

Readme

Logs (g0nwqxs2qhrmc0cnh248x740v8)