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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) |