Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into an in-depth 58-minute video tutorial on training LoRA (Low-Rank Adaptation) models for FLUX.1 [dev] using SimpleTuner and AI-Toolkit. Follow along as the instructor documents their process, experiments, and analysis while training two LoRAs: one for fantasy art and another for cinematic photos. Explore various aspects of LoRA training, including rank and alpha settings, flux guidance values, and their impact on generated images. Learn about different training configurations, compare results, and gain insights into troubleshooting common issues. The tutorial covers practical tools like SimpleTuner and AI-Toolkit, as well as theoretical discussions on LoRA functionality. Benefit from timestamps for easy navigation through topics such as SimpleTuner overview, LoRA comparisons, flux guidance variations, and more. Access additional resources, including GitHub repositories with training settings and ComfyUI workflows, to enhance your understanding and application of LoRA training techniques. Read more