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| title: Change Cloth AI | |
| emoji: 🔥 | |
| colorFrom: red | |
| colorTo: pink | |
| sdk: gradio | |
| sdk_version: 5.4.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Change-cloth-AI🐨 | |
| A virtual try-on system that uses AI to visualize how different clothing items would look on a person. | |
| ## Overview | |
| Outfit Diffusion is an AI-powered virtual try-on system that allows users to: | |
| - Upload a photo of a person (model image) | |
| - Upload a photo of a clothing item | |
| - Generate realistic visualizations of how the clothing would look on the person | |
| ## Features | |
| - **Easy-to-use Interface**: Simple upload system for both model and garment images | |
| - **Pre-loaded Examples**: Includes sample model and garment images for quick testing | |
| - **Customizable Generation**: Adjust parameters like: | |
| - Number of samples | |
| - Number of steps | |
| - Image scale | |
| - Random seed | |
| ## How to Use | |
| 1. **Select or Upload Model Image** | |
| - Choose from provided example models | |
| - Or upload your own model image (person wearing clothes) | |
| 2. **Select or Upload Garment** | |
| - Choose from provided example garments | |
| - Or upload your own garment image | |
| 3. **Adjust Parameters (Optional)** | |
| - Steps: Higher values give better quality but take longer | |
| - Scale: Affects how closely the output follows the input | |
| - Seed: Set for reproducible results | |
| 4. **Generate Output** | |
| - Click "Generate Outfit" to create the visualization | |
| - Wait for processing (may take a few moments) | |
| ## Technical Details | |
| - Built using Gradio interface | |
| - Powered by diffusion models | |
| - SDK Version: 5.4.0 | |
| - Runs on Hugging Face Spaces | |
| ## Limitations | |
| - Processing time depends on server load | |
| - Free tier has usage quotas | |
| - Best results with clear, front-facing photos | |
| - Garment images should be on white/clear backgrounds | |
| ## Tips for Best Results | |
| 1. Use clear, well-lit photographs | |
| 2. Model should be in a natural, front-facing pose | |
| 3. Garment images should be isolated on clean backgrounds | |
| 4. Start with lower step counts (10-15) for quick tests | |
| 5. Increase steps for final, higher-quality results | |
| ## Error Handling | |
| If you encounter quota errors: | |
| - Wait a few minutes between attempts | |
| - Try reducing the number of steps | |
| - Consider signing up for a Hugging Face account for more quota | |
| ## Author | |
| **Ali Hamza Kamboh (AHKamBoh)** | |
| - LinkedIn: [Ali Hamza Kamboh](https://www.linkedin.com/in/ahkamboh/) | |
| - GitHub: [@ahkamboh](https://github.com/ahkamboh) | |
| ## Credits | |
| This project uses the Hugging Face Spaces infrastructure and is built on top of state-of-the-art diffusion models for virtual try-on applications. | |
| ## License | |
| MIT License | |
| Copyright (c) 2024 Ali Hamza Kamboh (AHKamBoh) | |
| Permission is hereby granted, free of charge, to any person obtaining a copy | |
| of this software and associated documentation files (the "Software"), to deal | |
| in the Software without restriction, including without limitation the rights | |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| copies of the Software, and to permit persons to whom the Software is | |
| furnished to do so, subject to the following conditions: | |
| The above copyright notice and this permission notice shall be included in all | |
| copies or substantial portions of the Software. | |
| THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | |
| IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | |
| FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | |
| AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | |
| LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | |
| OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | |
| SOFTWARE. | |
| --- | |
| For more information about the configuration, visit: https://huggingface.co/docs/hub/spaces-config-reference | |