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Explore the latest advancements in FLUX AI model training through this comprehensive video tutorial that compares the newly released FLUX 2 with the highly regarded FLUX SRPO model while showcasing major updates to the SECourses Premium Kohya Trainer application. Discover how the updated version 35 of the Kohya SS GUI Premium app delivers massive performance improvements and VRAM optimizations, enabling high-quality FLUX training on GPUs with as little as 6GB of VRAM. Learn about the revolutionary FP8 Scaled LoRA training feature that provides on-the-fly conversion, drastically reducing VRAM usage with zero quality loss, and explore the new full Torch Compile support that accelerates training speeds across all presets. Master the use of newly introduced tools including the FLUX FP8 Converter for shrinking DreamBooth models to 11.1GB and the Image Pre-processing tool that visualizes exactly how Kohya processes your dataset. Understand the technical specifications of FLUX 2's 32-billion parameter architecture and its hardware requirements, while examining detailed side-by-side comparisons between locally trained FLUX SRPO models, base FLUX 1 Dev, and the new FLUX 2 Pro model. Analyze performance metrics, quality assessments, and practical considerations for choosing between different FLUX models in your AI image generation workflow. Gain insights into hardware optimization strategies ranging from 6GB consumer cards to 80GB A100/H100 configurations, and evaluate whether FLUX 2 represents a significant enough improvement to justify switching from existing FLUX 1 workflows.
