PixelFlow Template

AI Fashion Model Swap

API

If you're looking for an API, here is a sample code in NodeJS to help you out.

const axios = require('axios');
   
   const api_key = "YOUR API KEY";
   const url = "https://api.segmind.com/workflows/678f44821c0a55ade5f36403-v3";
   const data = {
     mannequin_image: "publicly accessible image link",
      face_image: "publicly accessible image link",
      select_clothing_in_reference_image: "the user input string"
   };
    
   axios.post(url, data, {
     headers: {
       'x-api-key': api_key,
       'Content-Type': 'application/json'
     }
   }).then((response) => {
     console.log(response.data);
   });

Response

application/json

{
  "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.

Response

application/json

1
2
3

{
  "image_yvn7": "image in URL Format"
}

Attributes

mannequin_imageimage*

face_imageimage*

select_clothing_in_reference_imagestr*

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.

AI Fashion Model Swap

The AI Fashion Model Swap workflow is an innovative solution designed to revolutionize the fashion photography industry. This advanced tool utilizes artificial intelligence to seamlessly replace one model with another in existing fashion shots, providing a cost-effective and efficient alternative to traditional photoshoots. The workflow is particularly valuable for fashion brands, e-commerce platforms, and photographers looking to diversify their visual content without the need for multiple physical photoshoots.

At its core, the AI Fashion Model Swap workflow employs sophisticated machine learning algorithms and computer vision techniques to analyze the original image, identify the model, and replace them with a different model while maintaining the integrity of the clothing, accessories, and overall composition. This process ensures that the swapped image looks natural and professional, indistinguishable from a real photoshoot.

Key features of the AI Fashion Model Swap workflow include:

Precise model detection and replacement
Preservation of clothing details and fit
Accurate lighting and shadow adjustment
Maintenance of original background and setting
Support for various body types and poses

The workflow is designed to handle a wide range of fashion photography styles, from casual wear to high-end couture. It can process both studio shots and on-location images, adapting to different lighting conditions and backgrounds. This versatility makes it an ideal tool for creating diverse marketing materials, lookbooks, and e-commerce listings.

By implementing the AI Fashion Model Swap workflow, businesses can achieve several benefits:

Cost reduction: Eliminates the need for multiple photoshoots with different models
Time efficiency: Quickly generates new content from existing photographs
Increased diversity: Easily showcases clothing on models of various ethnicities and body types
Consistency in brand imagery: Maintains a uniform look across different product lines
Flexibility in marketing: Allows for rapid adaptation to different target demographics

The workflow is designed with user-friendliness in mind, requiring minimal technical expertise to operate. It can be integrated into existing content management systems and e-commerce platforms, streamlining the process of updating product images across multiple channels.

For fashion brands and retailers looking to optimize their visual content strategy, the AI Fashion Model Swap workflow offers a powerful solution. By leveraging artificial intelligence, it enables businesses to create a wider range of visually appealing and diverse fashion imagery without the logistical challenges and expenses associated with traditional photoshoots.

Models Used in the Pixelflow

automatic-mask-generator

Automatic Mask Generator is a powerful tool that automates the creation of precise masks for inpainting

faceswap-v2

Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training

focus-inpaint

Fooocus Inpainting is a powerful image generation model that allows you to selectively edit and enhance images.

codeformer

CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.