NVIDIA SANA is Now Available on Windows! Step-by-Step Installation
🕑 Added 2025-02-20 15:00:11 +0000 UTCSANA IS NOW AVAILABE FOR WINDOWS!! β easily one of the most underrated applications of the year, the text-to-image tool that brings creativity to everyone, no matter your hardware! With versions tailored to different GPUs, Sana delivers stunning visuals up to 4096Γ4096 resolution, faster and more efficiently than ever.
Your Choice, Your Power:
π Sana-1.6M: Perfect for GPUs with 12GB of VRAM, delivering high-quality images quickly and smoothly.
π Sana-6M: Designed for GPUs with less than 9GB of VRAM, making powerful image generation accessible to even more creators.
π Both Multilingual: Generate images from prompts in multiple languagesβbreaking barriers for creators around the world.
Why Sana Stands Out:
πΌοΈ Crystal-Clear Results: High-resolution, high-quality images with excellent text alignment.
π» Accessible for All Hardware: Whether youβre on a powerful setup or a modest laptop, thereβs a Sana version for you.
β‘ Fast and Lightweight: Sana creates 1024Γ1024 images in under a second on laptops, all while being smaller and faster than traditional models.
π Affordable and Inclusive: No need for expensive GPUsβjust pick the version that suits your setup.
Github repo: https://github.com/gjnave/Sana-for-Windows
A Get-Going-Fast Installer can be found here: https://www.patreon.com/posts/nvidia-sana-for-122669029
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Membership & Intstallers: https://www.getgoingfast.pro
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* Helpful Video Tutorials *
VS Build Tools 2019 - Cleanest / Easiest Install Ever: https://youtu.be/TUS4A-XsAPo
Installing Cuda: https://youtu.be/_GpyoEbs3Hs
Installing CuDNN: https://youtu.be/RY2mEbi7PJc
Fresh AI Setup (Windows): https://youtu.be/4aCtOVcvcj4
Installing Miniconda: https://youtu.be/ULAVtKBOKXE
Installing Python: https://youtu.be/1CdeBbk9A2k
Insalling Git: https://youtu.be/xxVOm3ndeSU
Installing WSL: https://youtu.be/3GNqg3GdEKA
Installing Llama.cpp: https://youtu.be/r-05yuXTEPE
Comments
Wei Choong Lee
C:\Windows\System32>nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2025 NVIDIA Corporation Built on Wed_Jan_15_19:38:46_Pacific_Standard_Time_2025 Cuda compilation tools, release 12.8, V12.8.61 Build cuda_12.8.r12.8/compiler.35404655_0
Gary
okay, this is an issue of you have CUDA ( different than cudatoolkit) which is lower than 12.6. go your windows aterminal and type: nvcc --version and tell me whate you see
Wei Choong Lee
When I executed this line: conda install nvidia/label/cuda-12.6.0::cuda-toolkit, I got this error:Channels: - defaults - nvidia/label/cuda-12.6.0 Platform: win-64 Collecting package metadata (repodata.json): done Solving environment: failed LibMambaUnsatisfiableError: Encountered problems while solving: - nothing provides cuda-version >=12.6,<12.7.0a0 needed by cuda-nvml-dev-12.6.37-2 Could not solve for environment specs The following package could not be installed ββ cuda-toolkit is not installable because it requires ββ cuda-nvml-dev 12.6.37.* , which requires ββ cuda-version >=12.6,<12.7.0a0 , which does not exist (perhaps a missing channel).