ComfyUI LoRA Training for SDXL and Flux Character Models

Generative AI offers incredible power to create custom characters, but training your own models can feel overwhelming. By learning to train Low-Rank Adaptations (LoRAs) in ComfyUI, you gain precise control over AI-generated art without needing massive computing resources. This course will take you from the absolute basics of generative AI terminology to building functional, node-based training workflows. You will learn how to prepare image datasets, configure training parameters, and generate consistent character designs using SDXL and Flux models. What you will learn: • Understand the foundational concepts of LoRAs, checkpoints, and node-based AI generation. • Prepare and caption high-quality image datasets for effective character training. • Configure ComfyUI workflows tailored for SDXL and Flux model architectures. • Apply modern prompt engineering techniques to test and refine your custom LoRAs. • Troubleshoot common training issues like overfitting and style bleed. The course begins with essential terminology and fundamental concepts before moving into step-by-step written tutorials on dataset curation and workflow configuration. You will progress through structured text lessons that explain the logic behind every setting and node connection. Designed entirely for beginners, this course requires no prior experience with AI training, programming, or complex node systems. Start reading today to build your skills as a technical AI artist and bring your unique characters to life.