https://github.com/prithivsakthiur/magic-eraser-tool
You don't have to worry about mastering photo editing techniques to remove an object from your photo. ** Simply mark over the areas you want to erase, and our AI will take care of the rest.
https://github.com/prithivsakthiur/magic-eraser-tool
app docker eraser magic ml numpy python streamlit streamlit-webapp tensorflow
Last synced: about 1 year ago
JSON representation
You don't have to worry about mastering photo editing techniques to remove an object from your photo. ** Simply mark over the areas you want to erase, and our AI will take care of the rest.
- Host: GitHub
- URL: https://github.com/prithivsakthiur/magic-eraser-tool
- Owner: PRITHIVSAKTHIUR
- Created: 2024-05-08T04:21:06.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-26T03:14:22.000Z (about 1 year ago)
- Last Synced: 2025-03-26T04:25:19.347Z (about 1 year ago)
- Topics: app, docker, eraser, magic, ml, numpy, python, streamlit, streamlit-webapp, tensorflow
- Language: Python
- Homepage: https://huggingface.co/spaces/prithivMLmods/Magic-Eraser-Tool
- Size: 1.71 MB
- Stars: 12
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
> Download the model file and code here to run it locally. : https://huggingface.co/spaces/prithivMLmods/Magic-Eraser-Tool/tree/main
> Supported Streamlit Version [ pip install streamlit==1.34.0 ]
# Magic Eraser Tool 🪄
Remove unwanted objects from your images with AI-powered inpainting!
## Features ✨
- Simple brush-based interface to mark areas for removal
- AI-powered inpainting technology
- Preserves original image quality
- Adjustable brush size for precise editing
- Download your edited images with one click
## How It Works 🛠️
1. Upload an image (JPG/PNG)
2. Use the brush tool to mark areas you want to remove
3. Click "Submit" and let AI work its magic
4. Download your cleaned image
## Installation 💻
To run locally:
```bash
git clone https://github.com/PRITHIVSAKTHIUR/Magic-Eraser-Tool.git
cd Magic-Eraser-Tool
pip install -r requirements.txt
streamlit run app.py
```
## Requirements 📋
- Streamlit==1.34.0
- NumPy
- Pillow
- pandas
- Other dependencies (see requirements.txt)