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A newer version of the Gradio SDK is available: 6.26.0

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metadata 
title: Text-to-Image Gradio Template
emoji: 🖼
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 5.43.1
app_file: app.py
pinned: false

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
  • Finetuning method: LoRA
  • Dataset: UT Zappos50K Shoes Dataset
  • 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 

from huggingface_hub import InferenceClient

client = InferenceClient("benisonjac/stable-diffusion-finetune")

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 

git clone https://huggingface.co/Shoe-Gen/Shoe_Generator_Hosting
cd shoe-generator

Install dependencies 

pip install -r requirements.txt

Run the app 

python app.py

Access the demo

Open 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

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

Acknowledgements