sepal / audiogen

{
  "top_k": 250,
  "top_p": 0,
  "prompt": "Formula f1 cars driving by",
  "duration": 5,
  "temperature": 1,
  "output_format": "mp3",
  "classifier_free_guidance": 3
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

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

const output = await replicate.run(
  "sepal/audiogen:154b3e5141493cb1b8cec976d9aa90f2b691137e39ad906d2421b74c2a8c52b8",
  {
    input: {
      top_k: 250,
      top_p: 0,
      prompt: "Formula f1 cars driving by",
      duration: 5,
      temperature: 1,
      output_format: "mp3",
      classifier_free_guidance: 3
    }
  }
);

// 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

Import the client:

import replicate

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

output = replicate.run(
    "sepal/audiogen:154b3e5141493cb1b8cec976d9aa90f2b691137e39ad906d2421b74c2a8c52b8",
    input={
        "top_k": 250,
        "top_p": 0,
        "prompt": "Formula f1 cars driving by",
        "duration": 5,
        "temperature": 1,
        "output_format": "mp3",
        "classifier_free_guidance": 3
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run sepal/audiogen 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": "sepal/audiogen:154b3e5141493cb1b8cec976d9aa90f2b691137e39ad906d2421b74c2a8c52b8",
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "Formula f1 cars driving by",
      "duration": 5,
      "temperature": 1,
      "output_format": "mp3",
      "classifier_free_guidance": 3
    }
  }' \
  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/sepal/audiogen@sha256:154b3e5141493cb1b8cec976d9aa90f2b691137e39ad906d2421b74c2a8c52b8 \
  -i 'top_k=250' \
  -i 'top_p=0' \
  -i 'prompt="Formula f1 cars driving by"' \
  -i 'duration=5' \
  -i 'temperature=1' \
  -i 'output_format="mp3"' \
  -i 'classifier_free_guidance=3'

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 --gpus=all r8.im/sepal/audiogen@sha256:154b3e5141493cb1b8cec976d9aa90f2b691137e39ad906d2421b74c2a8c52b8
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "top_k": 250,
      "top_p": 0,
      "prompt": "Formula f1 cars driving by",
      "duration": 5,
      "temperature": 1,
      "output_format": "mp3",
      "classifier_free_guidance": 3
    }
  }' \
  http://localhost:5000/predictions

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

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

Generated in

13.6 seconds

Tweak it ShareReport

Want to make some of these yourself?

Run this model