sd35-text-to-image-gradio

Stable Diffusion 3.5 Text-to-Image in Gradio

Gradio demo of text-to-image using Stable Diffusion 3.5 Large

Full documentation is available on Hugging Face: Stable Diffusion Text-to-image

Estimated Inference Speed: 7 seconds for Stable Diffusion 3.5 Large on an NVIDIA H100 GPU

Screenshot

Quick Start

1. Open a web browser, log in to Hugging Face and register your name and email, to use stable-diffusion-3.5-large

2. Create a new Hugging Face user access token, which will capture that you completed the registration form

3. Clone this repo to your machine and change into the directory for this demo:

   cd ./stability-ai-toolkit/sd35-text-to-image-gradio
   

4. Set up the app in a Python virtual environment:

   python -m venv <your_environment_name>
   source <your_environment_name>/bin/activate
   

5. Set your HF_TOKEN inside your virtual environment

   export HF_TOKEN=<Hugging Face user access token>
   

6. Install dependencies

   pip install -r requirements.txt
   

   NOTE: Read requirements.txt for MacOS PyTorch installation instructions

   TL;DR:

   # Inside your virtual environment
   pip install --pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
   

7. Start the app

   python app.py
   

8. Open UI in a web browser: http://127.0.0.1:7861