Prediction

Official model

wavespeedai/hunyuan-video-fast

w46z7vd53srmc0cn55f90t3bnm

Status

Succeeded

Source

Web

Total duration

68.3s

Created

10 months ago by wavespeedai

Webhook

–

Input

prompt: Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail.
length: 5

{
  "length": 5,
  "prompt": "Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail."
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_UXE**********************************

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

const input = {
  length: 5,
  prompt: "Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail."
};

const output = await replicate.run("wavespeedai/hunyuan-video-fast", { input });

// 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_UXE**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

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

output = replicate.run(
    "wavespeedai/hunyuan-video-fast",
    input={
        "length": 5,
        "prompt": "Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail."
    }
)

# 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_UXE**********************************

This is your API token. Keep it to yourself.

Run wavespeedai/hunyuan-video-fast 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 $'{
    "input": {
      "length": 5,
      "prompt": "Dynamic shot racing alongside a steam locomotive on mountain tracks, camera panning from wheels to steam billowing against snow-capped peaks. Epic scale, dramatic lighting, photorealistic detail."
    }
  }' \
  https://api.replicate.com/v1/models/wavespeedai/hunyuan-video-fast/predictions

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

Output

Generated in

68.3 seconds

Tweak it Report