Prediction

Model

declare-lab/tango:740e4f5e

4gahgg8fa1rgm0cf6sg80rcgn4

Status

Succeeded

Source

Web

Hardware

A40

Total duration

Created

over 1 year ago

Webhook

–

Input

prompt: Quiet speech and then and airplane flying away
model: tango2
steps: 100
guidance: 3

{
  "guidance": 3,
  "model": "tango2",
  "prompt": "Quiet speech and then and airplane flying away",
  "steps": 100
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_0Ij**********************************

This is your API token. Keep it to yourself.

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 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:740e4f5e59bd3b871c9e5b4efbff7ded516d40aa6abf4e95fd5e8dd149b7bc3f",
  {
    input: {
      guidance: 3,
      model: "tango2",
      prompt: "Quiet speech and then and airplane flying away",
      steps: 100
    }
  }
);

// 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=r8_0Ij**********************************

This is your API token. Keep it to yourself.

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:740e4f5e59bd3b871c9e5b4efbff7ded516d40aa6abf4e95fd5e8dd149b7bc3f",
    input={
        "guidance": 3,
        "model": "tango2",
        "prompt": "Quiet speech and then and airplane flying away",
        "steps": 100
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_0Ij**********************************

This is your API token. Keep it to yourself.

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:740e4f5e59bd3b871c9e5b4efbff7ded516d40aa6abf4e95fd5e8dd149b7bc3f",
    "input": {
      "guidance": 3,
      "model": "tango2",
      "prompt": "Quiet speech and then and airplane flying away",
      "steps": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

12.4 seconds

Tweak it Report