Stable Diffusion 2.0 Fine-Tuning with DreamBooth on Free Colab
Offered By: 1littlecoder via YouTube
Course Description
Overview
Learn to fine-tune the Stable Diffusion 2.0 model using DreamBooth on the free tier of Google Colab in this comprehensive tutorial video. Discover the process of creating AI avatars and profile pictures at no cost, with a focus on image generation rather than style transfer. Follow along as the instructor guides you through data collection, processing, model training, inference, and converting the Diffusers model to a checkpoint file for Automatic1111 compatibility. Gain insights into the expected training time of approximately 1.5 hours using a Google Colab Tesla T4 GPU for 6000 steps. Access additional resources, including a detailed blog post and a helpful image resizing tool, to enhance your learning experience and achieve optimal results in fine-tuning Stable Diffusion 2.0 with DreamBooth.
Syllabus
Stable Diffusion v2.0 fine-tuning with DreamBooth on Free Colab
Taught by
1littlecoder
Related Courses
Neural Networks for Machine LearningUniversity of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX