| | --- |
| | 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. |
