zsxkib/sonic:a2aad29e – Run with an API on Replicate

Version

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zsxkib /sonic:a2aad29e

Playground API

Input

image

*file

Input portrait image (will be cropped if face is detected).

audio

*file

Input audio file (WAV, MP3, etc.) for the voice.

dynamic_scale

number

(minimum: 0.5, maximum: 2)

Controls movement intensity. Increase/decrease for more/less movement.

Default: 1

min_resolution

integer

(minimum: 256, maximum: 1024)

Minimum image resolution for processing. Lower values use less memory but may reduce quality.

Default: 512

inference_steps

integer

(minimum: 5, maximum: 50)

Number of diffusion steps. Higher values may improve quality but take longer.

Default: 25

keep_resolution

boolean

If true, output video matches the original image resolution. Otherwise uses the min_resolution after cropping.

Default: false

seed

integer

Random seed for reproducible results. Leave blank for a random seed.

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

npx create-replicate --model=zsxkib/sonic

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

const output = await replicate.run(
  "zsxkib/sonic:a2aad29ea95f19747a5ea22ab14fc6594654506e5815f7f5ba4293e888d3e20f",
  {
    input: {
      dynamic_scale: 1,
      min_resolution: 512,
      inference_steps: 25,
      keep_resolution: false
    }
  }
);

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

output = replicate.run(
    "zsxkib/sonic:a2aad29ea95f19747a5ea22ab14fc6594654506e5815f7f5ba4293e888d3e20f",
    input={
        "dynamic_scale": 1,
        "min_resolution": 512,
        "inference_steps": 25,
        "keep_resolution": False
    }
)
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 zsxkib/sonic 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": "zsxkib/sonic:a2aad29ea95f19747a5ea22ab14fc6594654506e5815f7f5ba4293e888d3e20f",
    "input": {
      "dynamic_scale": 1,
      "min_resolution": 512,
      "inference_steps": 25,
      "keep_resolution": false
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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