Stable Diffusion Fine-Tuning
Aliaksei Chymba
ML Engineer
AI Developer
Python
Stable Diffusion
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.
