Update README.md

README.md

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----
-title: Shoe Generator Hosting
-emoji: 🖼
-colorFrom: purple
-colorTo: red
-sdk: gradio
-sdk_version: 5.25.2
-app_file: app.py
-pinned: false
-short_description: Our GenAI Project on Text to Image Generation of Shoes
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Stable Diffusion v1.5 Finetuned on Zappos Shoes (LoRA)
+
+This is a finetuned version of Stable Diffusion v1.5, trained with LoRA on the Zappos Shoes Dataset.
+The model is specialized in generating realistic shoe images such as sneakers, boots, and sandals.
+
+## Model Description
+
+- **Base model**: [Stable Diffusion v1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5)
+- **Finetuning method**: LoRA
+- **Dataset**: [UT Zappos50K Shoes Dataset](http://vision.cs.utexas.edu/projects/finegrained/utzap50k/)
+- **Primary use**: Generating realistic images of shoes
+- **Optimal hardware**: GPU (for fast inference), but this demo runs on CPU in Hugging Face Spaces
+
+## Example Usage
+
+### Text-to-Image Prompt
+
+```python
+from huggingface_hub import InferenceClient
+
+client = InferenceClient("your-username/shoe-generator")
+
+image = client.text_to_image("a photo of a high-top sneaker, futuristic design")
+image.save("sneaker.png")
+```
+
+### Example Prompt
+```
+a photo of a high-top sneaker, futuristic design
+```
+
+## Running Locally
+
+### Clone the repo
+```bash
+git clone https://huggingface.co/your-username/shoe-generator
+cd shoe-generator
+```
+
+### Install dependencies
+```bash
+pip install -r requirements.txt
+```
+
+### Run the app
+```bash
+python app.py
+```
+
+### Access the demo
+Open [http://localhost:7860](http://localhost:7860) in your browser.
+
+## Demo (Hugging Face Space)
+
+If you want to try it online, you can run the Space here:
+👉 [Live Demo on Hugging Face Spaces](https://huggingface.co/spaces/your-username/shoe-generator)
+
+## Limitations
+
+- Works best for shoe-specific prompts (sneakers, sandals, boots).
+- May not generalize well to unrelated objects.
+- CPU inference is slow compared to GPU.
+
+## License
+
+- **Base model license**: [CreativeML Open RAIL-M](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
+- **Dataset**: [UT Zappos50K](http://vision.cs.utexas.edu/projects/finegrained/utzap50k/) (research only)
+- This model is for research and educational purposes only.
+
+## Acknowledgements
+
+- [CompVis & RunwayML](https://huggingface.co/runwayml) for Stable Diffusion
+- [UT Austin](http://vision.cs.utexas.edu/) for Zappos50K dataset
+- Hugging Face for hosting