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  • [Question] Installation guidance for xformers on new GPU . . . - GitHub
    I am setting up a fresh, manual installation of ComfyUI on a new system and am seeking guidance on the correct procedure for installing xformers with a new generation GPU xformers is a critical dependency for my workflows, which include nodes like Reactor and integrations like Kohya_SS
  • issue with the latest hardware (RTX 5070) and the evolving landscape of . . .
    Here's a detailed breakdown of why you're seeing the "TypeError: 'NoneType' object is not iterable" error with xFormers in the reForge web UI (based on illyasviel's Forge) and CUDA 12 8, and how to fix it The Core Problem: CUDA 12 8 and xFormers Compatibility (and reForge's Specifics)
  • Use xformers with RTX50 series - PyTorch Forums
    Hello! xFormers doesn’t yet support the new RTX 50‑series sm_120 architecture, which is why memory_efficient_attention fails even though your build succeeds Current kernels only go up to sm_90, so you’ll EZPassRI login need either a community‑patched build or wait for official updates to add sm_120 support
  • Error when trying to use xformers in SD reForge
    Xformers is something that reforge automatically applies or doesn't when it will help your system, or you deliberately disable it It doesn't need all the manual tweaking like A1111 did
  • How to make Nvidia GPU RTX 50 Series work with Nvidia PyTorch . . . - Medium
    We’re now training large-scale models locally on NVIDIA’s latest RTX 5090 — a Blackwell-architecture GPU with compute capability (SM) version 12 0 To fully leverage its parallelism, our software
  • NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120
    I ran the smoke test script on a Windows 11 machine with CUDA 12 8 and an RTX 5070 Ti (Blackwell) The result was positive — sm_120 was successfully detected by PyTorch
  • Nvidia Blackwell 50XX GPU instructions (updated) - GitHub
    I mention is not working because I'm not seen any actual performance uplift from having xformers ON or OFF in terms of speed or being able to use the x8 LTBS (Latent tile batch size) since xformers allow for less usage of Vram, which I was previously able to use with my 3090 with less Vram
  • xformers installs incompatible torch version (2. 7. 1) despite having . . .
    I'm currently setting up ComfyUI in a clean virtual environment using Python 3 10 11, Windows 11, and a NVIDIA RTX 5070 (Ada, 12GB) with CUDA 12 1 support I encountered a critical dependency conflict while attempting to install xformers alongside the CUDA-enabled version of PyTorch My Environment: OS: Windows 11 64-bit Python: 3 10 11 (inside
  • TheAsh111 xformers-sm120-windows-build - GitHub
    Pre-compiled xformers for NVIDIA RTX 50 series (sm_120) and PyTorch 2 8 0 dev20250626+cu128 Official pre-compiled versions of xformers often do not support the very latest NVIDIA GPU architectures (like sm_120 and above) or the nightly builds of PyTorch required to run them
  • 50系列显卡配环境踩坑记录（pytorch_5090 pytorch-CSDN博客
    1 装torch的时候会报这个错： NVIDIA GeForce RTX 5070 Ti with CUDA capability sm_120 is not compatible with the current PyTorch installation The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_70 sm_75 sm_80 sm_86 sm_90 解决方式是只能装pytorch官网的适配cu128的nightly版本：





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