declare-lab/tango:f8387370 – Run with an API on Replicate

Version

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declare-lab /tango:f8387370

Playground API

Input

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

npx create-replicate --model=declare-lab/tango

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 declare-lab/tango using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "declare-lab/tango:f8387370439bde3ea26743531b6e1526de69589b3e22aba6b1b32dc2074279c2",
  {
    input: {
      steps: 100,
      prompt: "An audience cheering and clapping",
      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

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 declare-lab/tango using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "declare-lab/tango:f8387370439bde3ea26743531b6e1526de69589b3e22aba6b1b32dc2074279c2",
    input={
        "steps": 100,
        "prompt": "An audience cheering and clapping",
        "guidance": 3
    }
)
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 declare-lab/tango 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": "declare-lab/tango:f8387370439bde3ea26743531b6e1526de69589b3e22aba6b1b32dc2074279c2",
    "input": {
      "steps": 100,
      "prompt": "An audience cheering and clapping",
      "guidance": 3
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

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