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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.
