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