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Stable Diffusion 2.0 Fine-Tuning with DreamBooth on Free Colab

Offered By: 1littlecoder via YouTube

Tags

Stable Diffusion Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Neural Networks Courses GPU Computing Courses Fine-Tuning Courses AI Image Generation Courses DreamBooth Courses

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

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