lucataco/wan2.1-4step:e3e2b581 | Run with an API on Replicate

Version

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lucataco /wan2.1-4step:e3e2b581

Playground API

Input

input_image

*file

Input image to animate

prompt

string

Shift + Return to add a new line

make this image come alive, cinematic motion, smooth animationmake this image come alive, cinematic motion, smooth animation

Text prompt describing the desired animation or motion

Default: "make this image come alive, cinematic motion, smooth animation"

num_frames

integer

(minimum: 2, maximum: 81)

Number of frames to generate

Default: 81

frames_per_second

integer

(minimum: 5, maximum: 24)

Frames per second for the output video

Default: 16

seed

integer

Random seed for reproducible results. Set to -1 for random seed

Default: -1

Including negative_prompt and 4 more...

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

npx create-replicate --model=lucataco/wan2.1-4step

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 lucataco/wan2.1-4step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/wan2.1-4step:e3e2b581dffc5a971ab8ef6322f53d93b83c277ec802a5d6bae0f3b62cf592bf",
  {
    input: {
      seed: -1,
      steps: 4,
      prompt: "make this image come alive, cinematic motion, smooth animation",
      num_frames: 81,
      guidance_scale: 1,
      negative_prompt: "",
      frames_per_second: 16
    }
  }
);

// 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 lucataco/wan2.1-4step using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/wan2.1-4step:e3e2b581dffc5a971ab8ef6322f53d93b83c277ec802a5d6bae0f3b62cf592bf",
    input={
        "seed": -1,
        "steps": 4,
        "prompt": "make this image come alive, cinematic motion, smooth animation",
        "num_frames": 81,
        "guidance_scale": 1,
        "negative_prompt": "",
        "frames_per_second": 16
    }
)

# 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=<paste-your-token-here>

Find your API token in your account settings.

Run lucataco/wan2.1-4step 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": "lucataco/wan2.1-4step:e3e2b581dffc5a971ab8ef6322f53d93b83c277ec802a5d6bae0f3b62cf592bf",
    "input": {
      "seed": -1,
      "steps": 4,
      "prompt": "make this image come alive, cinematic motion, smooth animation",
      "num_frames": 81,
      "guidance_scale": 1,
      "negative_prompt": "",
      "frames_per_second": 16
    }
  }' \
  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.