| license: apache-2.0 | |
| language: | |
| - en | |
| - yo | |
| - ig | |
| - ha | |
| base_model: | |
| - openai/clip-vit-large-patch14 | |
| - sirbrentmichaelskoda/Auto-GBT-Dream-Team-Model | |
| new_version: deepseek-ai/DeepSeek-R1 | |
| library_name: diffusers | |
| tags: | |
| - Text-to-image | |
| - Deep Learning | |
| - GAN | |
| # Text-Image Generation Model | |
| This model generates images from textual descriptions using deep neural networks. It uses a [GAN architecture] to map text to images. | |
| ## How to Use | |
| 1. Install dependencies using `pip install -r requirements.txt` | |
| 2. Load the model using the Hugging Face API. | |
| 3. Pass a text description to generate an image. | |
| ## Dataset | |
| The model was trained on the MS COCO dataset, a large-scale dataset containing images and their textual descriptions. |