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const axios = require('axios');
const fs = require('fs');
const path = require('path');
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/wan2.1-i2v-720p";
const data = {
"prompt": "A young woman with light skin and wavy brown hair sits at a desk in a modern podcast studio, wearing over-ear headphones and speaking into a sleek black microphone. She is dressed casually in a fitted blazer and a neutral-toned shirt, exuding confidence and professionalism. The studio is warmly lit, with soft overhead lighting and accent lights creating a cozy ambiance. In the background, a soundproofed wall with stylish acoustic panels is visible, along with a small shelf holding books and a potted plant. A laptop sits on the desk in front of her, alongside a cup of coffee and a notebook with scribbled notes. The camera angle is a medium close-up, focused on her upper body and face as she engages in a lively conversation, her expressive hands occasionally gesturing while she speaks. The scene is vibrant and modern, capturing the energy of a podcast recording in progress.",
"negative_prompt": "blurry, bad quality, camera shake, distortion, poor composition, low resolution, artifact, watermark",
"image": "toB64('https://segmind-resources.s3.amazonaws.com/input/209f6f09-7fc6-47c0-8b6e-128ae75db915-wan-720-ip.png')",
"seed": 63088745,
"video_length": 3,
"resolution": 720,
"steps": 30,
"base64": false
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
Prompt for video generation
Negative prompt for video generation
Reference image for video generation
Seed number for video generation
Length of the generated video in seconds
min : 1,
max : 5
Resolution of the generated video (longest side of the video)
Allowed values:
Number of steps for video generation
min : 10,
max : 70
Output as base64
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Wan2.1 Image to Video (720p)
Wan2.1 is a cutting-edge video foundation model that excels in image-to-video generation. It outperforms existing open-source and state-of-the-art commercial solutions. The I2V-14B model can generate high-definition 720P videos and has surpassed other models in human evaluations.
Key Features of Wan2.1 Image to Video
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SOTA Performance: Consistently outperforms existing open-source and commercial models across multiple benchmarks.
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Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information.
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Architecture: Designed on the mainstream diffusion transformer paradigm with innovations like a novel spatio-temporal variational autoencoder (VAE).
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Data: Trained on a vast amount of curated and deduplicated image and video data, processed through a four-step data cleaning process.
Additional Information
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The models are licensed under the Apache 2.0 License.
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This version can generate videos at 720P resolution.
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Extensive manual evaluations confirm that Wan2.1 outperforms both closed-source and open-source models.
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