Stable Diffusion Fine-Tuning

Overview

Project provides tools for fine-tuning the Stable Diffusion 2.1 model using DreamBooth and LoRA techniques to generate images in specific artistic styles. Additionally, project includes a Gradio app for local image generation, allowing users to easily create custom-styled images on their own machines.



Components

• Stable Diffusion 2.1: Utilizes the latest and powerful Stable Diffusion 2.1 model for high-quality image generation.
• DreamBooth: Fine-tunes the model with DreamBooth to personalize and enhance the image generation process.
• LoRA (Low-Rank Adaptation): Implements LoRA to efficiently fine-tune the model for specific styles with fewer computational resources.
• Gradio App: Provides an easy-to-use interface with Gradio to generate images locally, without needing extensive technical knowledge.

Links

GitHub