SegFIT Fashion Video Generator
Powered by SegFIT, transform simple flat lay images of clothing into realistic videos featuring virtual models.
If you're looking for an API, here is a sample code in NodeJS to help you out.
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const axios = require('axios');
const api_key = "YOUR API KEY";
const url = "https://api.segmind.com/workflows/67daf05782e8f28552e3c56a-v3";
const data = {
Outfit_Image: "publicly accessible image link",
Gender: "the user input string"
};
axios.post(url, data, {
headers: {
'x-api-key': api_key,
'Content-Type': 'application/json'
}
}).then((response) => {
console.log(response.data);
});1
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{
"poll_url": "<base_url>/requests/<some_request_id>",
"request_id": "some_request_id",
"status": "QUEUED"
}You can poll the above link to get the status and output of your request.
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{
"Try_on_Video": "any user input string"
}Attributes
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.
SegFIT Fashion Video Generator
The AI Outfit to Model Video Generator powered by SegFIT represents a revolutionary advancement in fashion visualization technology, enabling users to transform simple flat lay images of clothing into realistic videos featuring virtual models wearing the complete ensemble. Leveraging Segmind's proprietary virtual try-on model, SegFIT, this innovative tool bridges the gap between traditional product photography and the dynamic experience of seeing clothes in motion, addressing a critical challenge in online fashion retail.
How It Works
The process begins with users uploading a flat lay image—a bird's-eye view of an outfit arranged on a flat surface. SegFIT's sophisticated AI system analyzes the image, identifying individual garments, accessories, fabric types, patterns, and structural details. Using advanced computer vision and machine learning algorithms, the system constructs a 3D representation of how these items would appear when worn together. Within minutes, a video is generated showing a virtual model wearing and moving in the complete outfit, demonstrating how the garments interact with a human body in motion.
Key Features and Capabilities
Flat Lay Recognition Technology
SegFIT can accurately identify and differentiate between various clothing items within a single flat lay image, including tops, bottoms, outerwear, and accessories.
Texture and Material Simulation
SegFIT's advanced algorithms analyze fabric textures from the flat lay image and realistically reproduce how these materials would drape, fold, and move on a human body, accounting for different fabric weights and properties.
Customizable Model Options
Users can select from a diverse range of virtual models varying in gender presentation through simple text prompts, allowing for inclusive visualization that represents diverse customer bases.
Movement Sequences
The generated videos showcase natural movements including walking, turning, and subtle poses that highlight how the outfit looks from different angles and in motion.
Business Applications
E-commerce Enhancement
Online retailers can implement SegFIT to show customers how complete outfits look when worn, increasing purchase confidence and reducing return rates.
Influencer Marketing
Brands can quickly generate content showing how curated outfits appear on models without expensive photo shoots, expanding their content creation capabilities.
Personal Styling Services
Styling applications can use SegFIT to help users visualize outfit combinations before making purchase decisions.
Fashion Education
Educational institutions can utilize this tool to demonstrate design concepts and outfit construction without physical prototyping.
Technical Advantages
SegFIT employs neural networks trained on thousands of clothing items and human movement patterns to ensure realistic video generation. Cloud-based processing enables rapid transformation from static image to dynamic video, typically completing within minutes regardless of outfit complexity.
The technology's API integration capabilities allow for seamless incorporation into existing e-commerce platforms, styling applications, and social media marketing tools.
By transforming static flat lay photography into engaging, dynamic videos with Segmind's proprietary SegFIT technology, the AI Outfit to Model Video Generator creates a more immersive shopping experience that helps customers make informed decisions while reducing the resources required for traditional fashion videography.
Models Used in the Pixelflow
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