Скачать с ютуб NVIDIA SANA In ComfyUI - 100 Times Faster Than Flux And Render 4K Images в хорошем качестве

NVIDIA SANA In ComfyUI - 100 Times Faster Than Flux And Render 4K Images

NVIDIA SANA In ComfyUI - 100 Times Faster Than Flux And Render 4K Images Discover Nvidia Labs' new diffusion model, Sana - now available on GitHub and Hugging Face! In this comprehensive tutorial, we explore this revolutionary AI image generation model that's changing the game with its incredibly efficient VRAM usage and lightning-fast performance. Learn how Sana outperforms competitors like Flux, Stable Diffusion 3, and PixArt while requiring just a fraction of the computational power to generate stunning 4K images. Follow our step-by-step guide to implementing Sana in ComfyUI using the newly released ComfyUI Nodes by ct96. We'll walk you through installing the Extra Models package, setting up the workflow, and leveraging the powerful Gemma 2-billion parameter text encoder that runs efficiently even on CPU. Experience firsthand how Sana's specialized VAE and innovative architecture make it a game-changer for AI image generation. Resources: https://thefuturethinker.org/nvidia-s... Workflow In This Tutorial (Freebie For All): https://www.patreon.com/posts/1178231... Master everything from basic setup to advanced configurations as we demonstrate the complete text-to-image workflow. Learn how to optimize your prompts using the built-in Gemma encoder, understand resolution conditioning, and maximize your results with proper negative prompting. Whether you're a beginner or an experienced AI artist, discover how Sana's revolutionary approach to diffusion modeling can transform your creative workflow while keeping resource usage surprisingly low. If You Like tutorial like this, You Can Support Our Work In Patreon:   / aifuturetech   Discord :   / discord