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title: DF-GAN Bird Image Generator | |
emoji: 🐦 | |
colorFrom: blue | |
colorTo: purple | |
sdk: gradio | |
sdk_version: 3.50.0 | |
app_file: app.py | |
pinned: false | |
license: cc-by-nc-sa-4.0 | |
# DF-GAN Bird Image Generator | |
This application uses the DF-GAN (Deep Fusion GAN) model to generate bird images based on text descriptions. Just enter a description of a bird, and the model will generate a realistic image that matches your description. | |
## About the Model | |
This application uses the pre-trained bird model from the [DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis](https://arxiv.org/abs/2008.05865) paper (CVPR 2022). DF-GAN is a text-to-image synthesis model that can generate high-quality images from textual descriptions. | |
## How to Use | |
1. Enter a description of a bird in the text box (e.g., "a yellow bird with a black head") | |
2. Choose how many images you want to generate (1-4) | |
3. Optionally, set a random seed for reproducible results | |
4. Click "Generate Image" button | |
5. View the generated bird images that match your description | |
## Examples | |
Try these example descriptions: | |
- "this bird has an orange bill, a white belly and white eyebrows" | |
- "a small bird with a red head, breast, and belly and black wings" | |
- "this bird is yellow with black and has a long, pointy beak" | |
- "this bird is white in color, and has a orange beak" | |
## Implementation Details | |
This application uses the following components: | |
- DF-GAN architecture for text-to-image synthesis | |
- DAMSM text encoder for embedding text descriptions | |
- Gradio for the web interface | |
## Credits | |
This implementation is based on the official DF-GAN repository: [tobran/DF-GAN](https://github.com/tobran/DF-GAN) |