jzhang38/fast-hunyuan-video:6915992f | Run with an API on Replicate

Version

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jzhang38 /fast-hunyuan-video:6915992f

Input

prompt

string

Shift + Return to add a new line

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

Text prompt for video generation

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

negative_prompt

string

Shift + Return to add a new line

Text prompt to specify what you don't want in the video.

Default: ""

width

integer

(minimum: 256)

Width of output video

Default: 1280

height

integer

(minimum: 256)

Height of output video

Default: 720

num_frames

integer

(minimum: 16)

Number of frames to generate

Default: 125

num_inference_steps

integer

(minimum: 1, maximum: 50)

Number of denoising steps

Default: 6

fps

integer

(minimum: 1, maximum: 60)

Frames per second of output video

Default: 24

seed

integer

0 for Random seed. Set for reproducible generation

Default: 0

Including guidance_scale and 2 more...

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

npx create-replicate --model=jzhang38/fast-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";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run jzhang38/fast-hunyuan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "jzhang38/fast-hunyuan-video:6915992f696ccc626a53bb3e7e8941af911e9121df705d5f2cfde4a2a58f8330",
  {
    input: {
      fps: 24,
      seed: 0,
      width: 1280,
      height: 720,
      prompt: "A cat walks on the grass, realistic style.",
      flow_shift: 17,
      num_frames: 125,
      guidance_scale: 1,
      negative_prompt: "",
      embedded_cfg_scale: 6,
      num_inference_steps: 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 jzhang38/fast-hunyuan-video using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jzhang38/fast-hunyuan-video:6915992f696ccc626a53bb3e7e8941af911e9121df705d5f2cfde4a2a58f8330",
    input={
        "fps": 24,
        "seed": 0,
        "width": 1280,
        "height": 720,
        "prompt": "A cat walks on the grass, realistic style.",
        "flow_shift": 17,
        "num_frames": 125,
        "guidance_scale": 1,
        "negative_prompt": "",
        "embedded_cfg_scale": 6,
        "num_inference_steps": 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 jzhang38/fast-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": "jzhang38/fast-hunyuan-video:6915992f696ccc626a53bb3e7e8941af911e9121df705d5f2cfde4a2a58f8330",
    "input": {
      "fps": 24,
      "seed": 0,
      "width": 1280,
      "height": 720,
      "prompt": "A cat walks on the grass, realistic style.",
      "flow_shift": 17,
      "num_frames": 125,
      "guidance_scale": 1,
      "negative_prompt": "",
      "embedded_cfg_scale": 6,
      "num_inference_steps": 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.