voodoohop/flux-dance:3b75e652 – Run with an API on Replicate

Version

You're looking at a specific version of this model. Jump to the model overview.

voodoohop /flux-dance:3b75e652

Playground API Setup logs

Input

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

npx create-replicate --model=voodoohop/flux-dance

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 voodoohop/flux-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "voodoohop/flux-dance:3b75e6522d821c1893cd933bd92f87f5d9f51e679fad7ec3927e3f305f9af7d4",
  {
    input: {
      fps: 5,
      seed1: 1234567890,
      seed2: 9876543210,
      width: 768,
      height: 768,
      create_video: true,
      output_format: "png",
      interpolation_steps: 4,
      interpolation_strength: 0.05
    }
  }
);
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 voodoohop/flux-dance using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "voodoohop/flux-dance:3b75e6522d821c1893cd933bd92f87f5d9f51e679fad7ec3927e3f305f9af7d4",
    input={
        "fps": 5,
        "seed1": 1234567890,
        "seed2": 9876543210,
        "width": 768,
        "height": 768,
        "create_video": True,
        "output_format": "png",
        "interpolation_steps": 4,
        "interpolation_strength": 0.05
    }
)
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 voodoohop/flux-dance 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": "3b75e6522d821c1893cd933bd92f87f5d9f51e679fad7ec3927e3f305f9af7d4",
    "input": {
      "fps": 5,
      "seed1": 1234567890,
      "seed2": 9876543210,
      "width": 768,
      "height": 768,
      "create_video": true,
      "output_format": "png",
      "interpolation_steps": 4,
      "interpolation_strength": 0.05
    }
  }' \
  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/voodoohop/flux-dance@sha256:3b75e6522d821c1893cd933bd92f87f5d9f51e679fad7ec3927e3f305f9af7d4 \
  -i 'fps=5' \
  -i 'seed1=1234567890' \
  -i 'seed2=9876543210' \
  -i 'width=768' \
  -i 'height=768' \
  -i 'create_video=true' \
  -i 'output_format="png"' \
  -i 'interpolation_steps=4' \
  -i 'interpolation_strength=0.05'

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/voodoohop/flux-dance@sha256:3b75e6522d821c1893cd933bd92f87f5d9f51e679fad7ec3927e3f305f9af7d4
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "fps": 5,
      "seed1": 1234567890,
      "seed2": 9876543210,
      "width": 768,
      "height": 768,
      "create_video": true,
      "output_format": "png",
      "interpolation_steps": 4,
      "interpolation_strength": 0.05
    }
  }' \
  http://localhost:5000/predictions

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

Output

No output yet! Press "Submit" to start a prediction.