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NVIDIA SANA is Now Available on Windows! Step-by-Step Installation

SANA IS NOW AVAILABE FOR WINDOWS!! โ€“ 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 4096ร—4096 resolution, faster and more efficiently than ever.

Your Choice, Your Power:

๐ŸŒŸ Sana-1.6M: Perfect for GPUs with 12GB of VRAM, delivering high-quality images quickly and smoothly.

๐ŸŒŸ Sana-6M: Designed for GPUs with less than 9GB of VRAM, making powerful image generation accessible to even more creators.

๐ŸŒŸ Both Multilingual: Generate images from prompts in multiple languagesโ€”breaking barriers for creators around the world.

Why Sana Stands Out:

๐Ÿ–ผ๏ธ Crystal-Clear Results: High-resolution, high-quality images with excellent text alignment.

๐Ÿ’ป Accessible for All Hardware: Whether youโ€™re on a powerful setup or a modest laptop, thereโ€™s a Sana version for you.

โšก Fast and Lightweight: Sana creates 1024ร—1024 images in under a second on laptops, all while being smaller and faster than traditional models.

๐ŸŒ Affordable and Inclusive: No need for expensive GPUsโ€”just 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

Website: https://www.cognibuild.ai

Discord: https://discord.gg/jRYeUbBt6P

LinkedIn: https://www.linkedin.com/in/gjnave

Reddit: https://www.reddit.com/user/FitContribution2946/

Personal Music: www.daysinging.com

Instagram: https://www.instagram.com/cognibuild/

X: https://x.com/CognibuildAI

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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

NVIDIA SANA is Now Available on Windows! Step-by-Step Installation

Comments

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

Wei Choong Lee

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

Gary

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 โ””โ”€ cuda-toolkit is not installable because it requires โ””โ”€ cuda-nvml-dev 12.6.37.* , which requires โ””โ”€ cuda-version >=12.6,<12.7.0a0 , which does not exist (perhaps a missing channel).

Wei Choong Lee


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