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It is now possible to generate 16 Megapixel (4096x4096) raw images with SANA 4K using under 8GB VRAM

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Jan 12, 2025

(Updated: 5 months ago)

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It is now possible to generate 16 Megapixel (4096x4096) raw images with SANA 4K using under 8GB VRAM

Installers : https://www.patreon.com/posts/from-nvidia-labs-116474081

New 4K Tutorial Video : https://youtu.be/GjENQfHF4W8

It is now possible to generate 16 Megapixel (4096x4096) raw images with SANA 4K model using under 8GB VRAM, 4 Megapixel (2048x2048) images using under 6GB VRAM, and 1 Megapixel (1024x1024) images using under 4GB VRAM thanks to new optimizations

  • Now the APP will use Diffusers Pipeline and it has huge VRAM optimizations

  • You need to reinstall

  • The models will be downloaded into your Hugging Face cache folder when you first time generate something

  • How to Get Installation Logs and How to Change Hugging Face Cache Folder

  • Please make a fresh install

  • When you enable all 4 optimizations the VRAM usages are like below

  • Make sure shared VRAM is enabled because initial loading of the model need more VRAM

  • Enable VAE Tiling + Enable VAE Slicing + Enable Model CPU Offload +

  • Enable Sequential CPU Offload

  • 1K (1024x1024) : 4 GB GPUs

  • 2K (2048x2048) : 6 GB GPUs

  • 4K (4096x4096) : 8 GB GPUs

  • Still in any case may work on your GPU test it

  • Just Enable VAE Tiling + Enable Model CPU Offload works great in many cases

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