This content originally appeared on DEV Community and was authored by Furkan Gözükara
Installers : https://www.patreon.com/posts/from-nvidia-labs-116474081
New 4K Tutorial Video : https://youtu.be/GjENQfHF4W8
-
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
This content originally appeared on DEV Community and was authored by Furkan Gözükara
Furkan Gözükara | Sciencx (2025-01-13T00:13:55+00:00) It is now possible to generate 16 Megapixel (4096×4096) raw images with SANA 4K model using under 8GB VRAM and more. Retrieved from https://www.scien.cx/2025/01/13/it-is-now-possible-to-generate-16-megapixel-4096x4096-raw-images-with-sana-4k-model-using-under-8gb-vram-and-more/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.




















