https://github.com/paraglondhe098/avgen
A generator model that generates 2D human cartoon faces based on user inputs (hair type, face type, hair color, etc.).
https://github.com/paraglondhe098/avgen
computer-vision convolutional-neural-networks deep-learning gan gen-ai generative-adversarial-network image-generation
Last synced: 6 months ago
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A generator model that generates 2D human cartoon faces based on user inputs (hair type, face type, hair color, etc.).
- Host: GitHub
- URL: https://github.com/paraglondhe098/avgen
- Owner: paraglondhe098
- Created: 2024-12-11T16:46:07.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-12-11T17:14:05.000Z (over 1 year ago)
- Last Synced: 2025-02-19T16:19:38.172Z (over 1 year ago)
- Topics: computer-vision, convolutional-neural-networks, deep-learning, gan, gen-ai, generative-adversarial-network, image-generation
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/code/paraglondhe/cdcgans-with-embeddings
- Size: 39.7 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
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README
# 2D Avatar Generator using conditional deep convolutional GANs
This project provides an interactive interface to generate images based on user-defined attributes. Users can tweak various parameters using sliders and instantly visualize the output images.
### >> Kaggle Notebook link [Implementation with dataset]: https://www.kaggle.com/code/paraglondhe/cdcgans-with-embeddings
## Setup and Installation
### Prerequisites
- Python 3.8+
- Virtual environment (recommended)
### Installation Steps
1. Clone the repository:
```bash
git clone https://github.com/paraglondhe098/2D_Avatar_Generation.git
cd 2D_Avatar_Generation
```
2. Install required Python libraries:
```bash
pip install -r requirements.txt
```
3. Run the Streamlit app:
```bash
streamlit run app.py
```
## Usage
1. Start the application by running the Streamlit app command.
2. Use the sidebar sliders to adjust the attributes for image generation:
- Example attributes include **Eye Angle**, **Chin Length**, **Hair Color**, and more.
3. Generated images will be displayed in a grid layout.
4. Adjust sliders to modify attributes and generate new images.