lucataco/orpheus-3b-0.1-ft:79f2a473 – Run with an API on Replicate

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lucataco /orpheus-3b-0.1-ft:79f2a473

Playground API

Input

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

npx create-replicate --model=lucataco/orpheus-3b-0.1-ft

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 lucataco/orpheus-3b-0.1-ft using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/orpheus-3b-0.1-ft:79f2a473e6a9720716a473d9b2f2951437dbf91dc02ccb7079fb3d89b881207f",
  {
    input: {
      text: "Hey there my name is Tara, <sigh> and I'm a speech generation model that can sound like a person.",
      top_p: 0.95,
      voice: "tara",
      temperature: 0.6,
      max_new_tokens: 1200,
      repetition_penalty: 1.1
    }
  }
);
console.log(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 lucataco/orpheus-3b-0.1-ft using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/orpheus-3b-0.1-ft:79f2a473e6a9720716a473d9b2f2951437dbf91dc02ccb7079fb3d89b881207f",
    input={
        "text": "Hey there my name is Tara, <sigh> and I'm a speech generation model that can sound like a person.",
        "top_p": 0.95,
        "voice": "tara",
        "temperature": 0.6,
        "max_new_tokens": 1200,
        "repetition_penalty": 1.1
    }
)
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 lucataco/orpheus-3b-0.1-ft 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": "79f2a473e6a9720716a473d9b2f2951437dbf91dc02ccb7079fb3d89b881207f",
    "input": {
      "text": "Hey there my name is Tara, <sigh> and I\'m a speech generation model that can sound like a person.",
      "top_p": 0.95,
      "voice": "tara",
      "temperature": 0.6,
      "max_new_tokens": 1200,
      "repetition_penalty": 1.1
    }
  }' \
  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/lucataco/orpheus-3b-0.1-ft@sha256:79f2a473e6a9720716a473d9b2f2951437dbf91dc02ccb7079fb3d89b881207f \
  -i $'text="Hey there my name is Tara, <sigh> and I\'m a speech generation model that can sound like a person."' \
  -i 'top_p=0.95' \
  -i 'voice="tara"' \
  -i 'temperature=0.6' \
  -i 'max_new_tokens=1200' \
  -i 'repetition_penalty=1.1'

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/lucataco/orpheus-3b-0.1-ft@sha256:79f2a473e6a9720716a473d9b2f2951437dbf91dc02ccb7079fb3d89b881207f
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "text": "Hey there my name is Tara, <sigh> and I\'m a speech generation model that can sound like a person.",
      "top_p": 0.95,
      "voice": "tara",
      "temperature": 0.6,
      "max_new_tokens": 1200,
      "repetition_penalty": 1.1
    }
  }' \
  http://localhost:5000/predictions

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

Output

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Generated in

9.3 seconds

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