tencent/hunyuan-video:086e88ab – Run with an API on Replicate

Version

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tencent /hunyuan-video:086e88ab

Input

prompt

string

Shift + Return to add a new line

A cat walks on the grass, realistic styleA cat walks on the grass, realistic style

The prompt to guide the video generation

Default: "A cat walks on the grass, realistic style"

height

integer

(minimum: 16)

Height of the video in pixels (must be divisible by 16)

Default: 480

width

integer

(minimum: 16)

Width of the video in pixels (must be divisible by 16)

Default: 864

video_length

integer

(minimum: 1)

Number of frames to generate (must be 4k+1, ex: 49 or 129)

Default: 129

infer_steps

integer

(minimum: 1)

Number of denoising steps

Default: 50

fps

integer

(minimum: 1)

Frames per second of the output video

Default: 24

seed

integer

Random seed (0 for random)

Including embedded_guidance_scale

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

npx create-replicate --model=tencent/hunyuan-video

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 tencent/hunyuan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "tencent/hunyuan-video:086e88abcbec793f05ae993ca8dda68acacf5883c3d7aa564afad6c7c203d0a2",
  {
    input: {
      fps: 24,
      width: 864,
      height: 480,
      prompt: "A cat walks on the grass, realistic style",
      infer_steps: 50,
      video_length: 129,
      embedded_guidance_scale: 6
    }
  }
);

// 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 tencent/hunyuan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "tencent/hunyuan-video:086e88abcbec793f05ae993ca8dda68acacf5883c3d7aa564afad6c7c203d0a2",
    input={
        "fps": 24,
        "width": 864,
        "height": 480,
        "prompt": "A cat walks on the grass, realistic style",
        "infer_steps": 50,
        "video_length": 129,
        "embedded_guidance_scale": 6
    }
)
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 tencent/hunyuan-video 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": "tencent/hunyuan-video:086e88abcbec793f05ae993ca8dda68acacf5883c3d7aa564afad6c7c203d0a2",
    "input": {
      "fps": 24,
      "width": 864,
      "height": 480,
      "prompt": "A cat walks on the grass, realistic style",
      "infer_steps": 50,
      "video_length": 129,
      "embedded_guidance_scale": 6
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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