AI Avatars with Dreambooth Alternative LORA Based Stable Diffusion Fine-Tuning on Free Colab
Offered By: 1littlecoder via YouTube
Course Description
Overview
Learn to create personalized AI profile pictures and avatars using LORA (Low-rank Adaptation), a Dreambooth alternative method for Stable Diffusion fine-tuning. This 17-minute tutorial demonstrates how to utilize Google Colab Notebook to implement LORA, which offers faster fine-tuning, smaller file sizes, and potentially better performance than traditional methods. Explore the main features of LORA, including its compatibility with diffusers, checkpoint merging capabilities, and the ability to fine-tune both CLIP and Unet for improved results. Follow along with a practical experiment using Stable Diffusion 1.5, training on just 5 images for 4000 steps in 40 minutes on Free Colab.
Syllabus
AI Avatars with Dreambooth alternative LORA based Stable Diffusion Fine-tuning on Free Colab
Taught by
1littlecoder
Related Courses
How to Do Stable Diffusion LORA Training by Using Web UI on Different ModelsSoftware Engineering Courses - SE Courses via YouTube MicroPython & WiFi
Kevin McAleer via YouTube Building a Wireless Community Sensor Network with LoRa
Hackaday via YouTube ComfyUI - Node Based Stable Diffusion UI
Olivio Sarikas via YouTube AI Masterclass for Everyone - Stable Diffusion, ControlNet, Depth Map, LORA, and VR
Hugh Hou via YouTube