AI Hair Style Makeover

Transform hairstyles with side-by-side visual comparisons for confident styling choices using advanced AI technology.


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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 const axios = require('axios'); const api_key = "YOUR API KEY"; const url = "https://api.segmind.com/workflows/6829f44a00eb0e1658c0b65c-v1"; const data = { face_image: "publicly accessible image link" }; axios.post(url, data, { headers: { 'x-api-key': api_key, 'Content-Type': 'application/json' } }).then((response) => { console.log(response.data); });
Response
application/json
1 2 3 4 5 { "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 { "output_image": "image in URL Format" }

Attributes


face_imageimage*

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 Hair Style Makeover

Overview

The AI Hair Style Makeover workflow offers a transformative experience by allowing users to visualize how different hairstyles would look on them. By analyzing a user's image, the workflow generates a side-by-side comparison of two potential hairstyles, maintaining the original facial and bodily features. This workflow is particularly useful for hairstylists, fashion consultants, content creators, and individuals exploring new looks. Leveraging advanced AI models such as GPT Image 1 Edit and Segmind Faceswap v4, it excels in precision image editing and face swapping with high-quality results. The primary value lies in its ability to simplify and speed up the hairstyle selection process, offering a visual and data-driven approach to personal makeover ideas.


Key Features

  • Image Transformation: Converts a user's photo into a new image displaying two potential hairstyles side-by-side.
  • GPT Image 1 Edit: Uses OpenAI’s inpainting model to seamlessly edit hairstyles without altering facial features.
  • Face Swapping: Implements Segmind Faceswap v4 for flexible and precise head or face swapping techniques.
  • High-Quality Output: Ensures high-resolution and quality images in various formats such as PNG or JPEG.
  • Real-time Visualization: Quickly generates hairstyle options, minimizing wait time and enhancing decision-making efficiency.
  • Seamless Integration: Combines multiple models and inputs seamlessly without manual editing.
  • Intuitive Interface: Simple prompt-based operations enable even non-technical users to utilize the platform easily.

Use Cases

Personal Style Exploration
Individuals wanting to experiment with different hairstyles can use this tool to visualize new looks before committing to a change, providing confidence in style decisions facilitated by visual mockups.

Salon and Hairstyling Services
Hairstylists can utilize this workflow to offer clients a preview of proposed styles, improving customer service and satisfaction through more informed consultations.

Influencer Content Creation
Social media influencers can effortlessly generate eye-catching posts featuring trendy hairstyles without the need for actual physical transformations, maintaining engagement with their audience.

Fashion and Beauty Magazines
Editorial teams can enhance content by showcasing various hairstyles on models, ensuring their visuals are fresh and on-trend, without the logistical challenges of multiple photoshoots.

Virtual Makeover Tools
Developers and companies offering makeover apps or virtual dressing rooms can integrate this workflow to expand their product features, providing users with a comprehensive styling experience.

Corporate Image Consulting
Image consultants can use this tool for client visualizations, aiding in recommendations for professional appearances tailored to individual preferences and corporate cultures.

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