Xformers torch version 18. 1) can still run on GPUs and drivers that support a later version of CUDA (e. 1版本，而Xformers 0. 04. post2+cu118-cp311-cp311-win_amd64. 1 + FlashAttention 2. compile() only Mar 29, 2023 · We were using xformers 0. 1+cu121". post2+cu118-cp310-cp310-win_amd64. 04) 13. post1 uninstalls torch and triton 2. You signed out in another tab or window. 6 及以上版本，虽然新版本特性吸引人，但升级后可能出现节点启动失败的问题，请注意兼容性风险。 Apr 6, 2024 · Before I had 0. To reinstall the desired version, run with commandline flag --reinstall-torch. What was the issue of the problem, pytorch defaulting to CPU use After much digging, I think I got it working with a version newer than the wiki guide after following various guides that led me to realize I had a version mismatch that was causing me endless headaches. The biggest deal here may be convenience for beginners, since 2. 0，导致无法使用支持显卡的comfyui启动：run_nvidia_gpu. Is this the recommended way to install xformers from source to work with pytorch nightly + cu124? Mar 1, 2025 · すでにxformersが導入していて、かつ1111を更新及び再起動したときに notice（注記）として、そのxformersのバージョンでは未検証（サポート外みたいなもの）と表示されることがあります。 そんなときは、コマンド「--reinstall-xformers」を追記しましょう。 Apr 10, 2024 · As such, I am submitting this issue with the request to upgrade Xformers to v0. - xformers/README. installing xformers pip install xformers (which at the moment points to 0. xFormers를 설치하면, 여기서 설명한 것처럼 ‘enable_xformers_memory_efficient_attention()‘을 사용하여 추론 속도를 높이고 메모리 소비를 줄일 수 있습니다. x. 4 and PyTorch 2. I finally figured out a fix. 1 such as "torchvision 0. 0，但现有的Torch版本是2. post3 but I have the same result Jun 11, 2024 · However installing xformers brings in torch-2. You switched accounts on another tab or window. 22. 26. Here’s the solution… CUDA is backward compatibile:- meaning, frameworks built for an earlier version of CUDA (e. Even so, it is quite easy to solve, just add xformers to the command with which we install PyTorch: Oct 21, 2023 · Google Colab runs torch==2. All reactions. 4 . 11 Next was it installed in a virtual environment (env,) :yes. bat what exact version of xformers it should reinstall: Jun 4, 2024 · 🐛 Bug. 1, which requires torch 1. This is causing conflict with the packages that do require 2. 1+cu116 torchvision=0. post1 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 3060 : cudaMallocAsync VAE dtype: torch. post2는 토치2. 0, now that you switched to torch==2. The table below summarizes the result that we got. exe -m pip install xformers」と入力して実行してください。但し、この時torch+cuが削除されて、CPU動作用のtorchがインストールされてしまうことがあります。 その場合は上で解説しているPytorchの削除と再インストールを行ってください。 Mar 13, 2024 · 不同版本的Xformers需要对应版本的PyTorch才能正常运行。例如，Xformers 0. 9. . functional. A suggested setup (slow to build but comprehensive) is export TORCH_CUDA_ARCH_LIST="6. 0 but I want to use the torch that I have which is 1. 0' means xformers will accept any torch version that is 2. 0+cu118. post1& Aug 27, 2023 · torchとxformersのバージョンが対応していない場合は、torchをアップデートしましょう。 torchのアップデート方法 ①「 Stable-Diffusion-webui 」フォルダ内の下から2つ目にある「 webui-user 」ファイルを右クリックして、 編集 を押します。 Jul 9, 2024 · 比如我安装的torch-2. Installing xformers# 3. whl xformers-0. According to this issue , xFormers v0. 22版本需要PyTorch 2. 1 and 0. 0이랑 xformers만 성공적으로 설치되어있다는뜻 추가로 지가 알아서 설치했다는게아님 보니까 어디 패키지 충돌인지 캐시문제인지 모르겠지만 제대로 설치가 안됐는데 설치됐다고 뜨는것같음 venv통째로 Let's start from a classical overview of the Transformer architecture (illustration from Lin et al,, "A Survey of Transformers") You'll find the key repository boundaries in this illustration: a Transformer is generally made of a collection of attention mechanisms, embeddings to encode some positional information, feed-forward blocks and a residual path (typically referred to as pre- or post xFormers benchmark is done using the torch==1. Is there a solution other than reinstalling torch every time I run colab? Following PyTorch, xFormers no longer builds binaries for conda. 0a0+1767026]. 我们都知道当Stable Diffusion WebUI版本更新的时候，Torch和cuda版本并不会自动更新，需要我们到虚拟环境进行手动更新，当然你也可以直接删除venv文件，让他自动更新，但是有个问题是，我们在虚拟环境中安装了很多插件依赖项，如果一次性删除，那么插件又需要从新配置环境，今天我就来说下 Mar 16, 2023 · Performance of torch. 0 0. 39 Python version: 3. Has this problem happened numerous times: yes. 1 LTS (x86_64) GCC version: (Ubuntu 13. 0;6. compile+torch. So it causes other errors f torch gets update. 1. 1) is already installed. pip install xformers==0. 16 of xFormers, released on January 2023, installation can be easily performed using pre-built pip wheels: Jan 1, 2025 · torch， torchaudio, torchvision 后面要加+ cu121（版本根据实际情况来），这样才是GPU; torch， torchaudio 版本号要相同，不同用起来可能有问题; 可以先装torch, 再装xformers, 然后再装torch ，转来转去都是版本问题 ===== 上面的都可以忽略了， 找到新的方法： Mar 19, 2025 · xFormers is still broken for Torch 2. 6w次，点赞22次，收藏18次。【代码】【深度学习】xformers与pytorch的版本对应关系。_xformers对应torch版本 6 days ago · XFormers: A collection of composable Transformer building blocks. Oct 30, 2024 · For now, xformers sometimes behind torch, and when I strictly install it with version, hardly to found xformers version how to match with torch. 29. infoを実行してxFormersのバージョン変更とmemory_efficient_attentionの部分がavailableになっていればOKなはずです。 ふわっふわな内容ですが、多少なりとも参考になれば幸いです…。 Nov 1, 2024 · I found every tag has its associate pytorch version. 1 Uninstalling torch-2. xFormersとは？ Windows版xFormers; Windows版xFormersのシステム要件 Oct 8, 2024 · Stable Diffusion での Xformers 導入 タイトルの通りですが、Stable Diffusion に Xformers を導入することで、画像生成速度の大幅な向上と使用する VRAM 量の大幅削減が期待できるので Pythonに慣れない人などは、少し複雑かもしれませんが Stable Diffusion をインストールしたら、すぐに入れたほうがいいです！ Sep 9, 2024 · Also for the person above me, 'torch >=2. 16 에서 GPU를 사용한 학습(파인 튜닝 또는 Dreambooth)을 할 수 없습니다. (DualGemmSiluOp not found) Oct 31, 2024 · 最近复现的一些仓库用 xformers 的很多，xformers 安装的版本需要对应 CUDA 版本 和 pytorch 版本。 而且在 arm 的 aarch64 下安装所有和 CUDA 相关的库都不是非常方便，这里记录一下。 Jun 5, 2024 · pytorch version: 2. 2;7. Motivation Many users, including those working with projects like Forge, are now transitioning to newer versions of CUDA and PyTorch. Reload to refresh your session. 13. 42131-fa1d09cbd OS: Ubuntu 24. However, I am not able to get some of the tests to run locally, probably due to an issue with my environment. 6. bat，报错误 raise AssertionError("Torch not compiled with CUDA enabled")，需要重新安装回Pytorch2. Current versions: torch=1. 0 xformers-0. g. 28版本Linux&Windows平台安装pip命令参考： 安装xformers的时候可以和torch一起安装，不然的话torch还会再重新安装一次，而且torch会自动选择到当前xformers支持到的最新版本，可能会与你当前想要的torch版本不一样导致torchvision等版本冲突，最好指定版本安装。 例如指定安装最新版torch 2. Aug 13, 2023 · When installing xformers, it upgrades torch to version 2. 8 the problem happens while using in previous apps that works with previous version of xformers. 15 seconds compared to integrating FlashAttention 2. 0. 25. I tried adding --no-deps, but found xformers doesn't install properly. 3 Is debug build: False CUDA used to build PyTorch: N/A ROCM used to build PyTorch: 6. The reported speeds are for: Batch size 1, pic size 512*512, 100 steps, samplers Euler_a or LMS. 18 and xformers 0. However, the latest versions of xformers require cu121. 0 and cu121. 23版本则需要PyTorch 2. 1? Dec 14, 2023 · You signed in with another tab or window. Feb 9, 2025 · warnings. Jan 25, 2025 · 比如我安装的torch-2. 1+cu121 xformers version: 0. 6 Python 10. Steps to Reproduce: Have torc Nov 25, 2024 · From a performance perspective—although I understand this is just my personal observation and might not be statistically significant—using PyTorch 2. 1+cu121" and "torchaudio 2. post2 and I tried with the new version it too 0. As expected, it didn't work. 1+cu124卸载并装了Pytorch2. 이 이슈 에 따르면 xFormers v0. 2. 5;8. 19, respectively May 17, 2023 · Is there an existing issue for this? I have searched the existing issues and checked the recent builds/commits; What happened? I'm building a Dockerfile that takes care of installing everything at build time, so that it can be spun up quickly, but i'm wondering how you guys are dealing with xformers, which requires torch==2. You can speed up So I had an older version of A1111 before all this, some 1. 2+cu121 Run python -m pip uninstall xformers; Optionally, revert the torch and torchvision version to what Run python -m pip install torch==version_noted_above Nov 1, 2024 · 文章浏览阅读3. 6" Apr 4, 2025 · Since I’m trying to get a Docker image running with a gazillion dependencies going back and forth, I thought I’d compile this table of which xformers versions work with which torch versions. This causes a compatibility issue with torchvision 0. 1和xformers 0. And, other package, associate with training pipeline, depends on it. Pip is now the only recommended way to get xFormers Removed unmaintained/deprecated components in xformers. bat，不要带参数）重新安装torch。 Oct 4, 2024 · You signed in with another tab or window. XFormers aims at being able to reproduce most architectures in the Transformer-family SOTA,defined as compatible and combined building blocks as opposed to monolithic models Nov 28, 2022 · 「WindowsにxFormersをインストールしたい」 このような場合には、この記事の内容が参考になります。 この記事では、WindowsにxFormersをインストールする方法を解説しています。 本記事の内容. the version that newer than 0. 1 version. 0+cu113. x+cu124。. Nov 20, 2023 · If we do pip install xformers, it will install the latest xFormers version and also update PyTorch to the latest version, something we don't want. 1 should work anyway (I tested both Installing xFormers We recommend the use of xFormers for both inference and training. 23. Deleted venv. scaled_dot_product_attention. I dont want the torch version to change pip install -v -U git+https://github Jan 12, 2024 · 我们需要卸载Torch 2. 0 or above but putting 2. bat，不要带参数）重新安装torch。 May 17, 2023 · The program is tested to work with torch 2. 9 build. 0 RC. , 12. Nothing else. 16 in the GUI. Can anyone suggest which version of xformers should I revert to for torch: 2. 1 so just try. post1 support pytorch 2. 1 and replaces it with 2. 5 or 1. components. 1+cu118，对应的是xformer0. * (see #848 ) Sep 14, 2024 · 截止目前最新的Linux&Windows系统平台上pip安装的xformers版本与pytorch版本和CUDA版本关系对照表. warn(f'There are no {compiler_name} version bounds defined for CUDA version {cuda_str_version}')" but in the end the compilation happens, it could be that this happened in my first compilation and I didn't notice in the middle of thousands of lines of log that are released, but it could be that this is just a warning because they haven Nov 10, 2024 · Installing collected packages: torch, xformers Attempting uninstall: torch Found existing installation: torch 2. 20 version of xformers, how do I revert back to it? As a code monkey, I tried to just delete "xformers" folder in venv and shove in an older version I downloaded from github. torch_version: The TORCH_CUDA_ARCH_LIST is a list of GPU architectures to compile xFormer support for. 5. Apr 6, 2024 · Is there a way to install xformers without changing Pytorch? My torch version is [2. 3. However, torch. bat 脚本（直接运行webui-user. 8. 7 and CUDA 12. 1+cu118。可能是因为我的项目或者其他依赖项需要特定版本的Torch，而xformers的新版本又需要更高的Torch版本。 接下来，我应该考虑可能的解决方案。 On Linux (python 3. post1, it's working fine with the 1. 1: Successfully uninstalled torch-2. Oct 30, 2024 · 本文是我总结的步骤，验证了几次保证是对的。因为正确的安装 Stable Diffusion Web UI 以及对应的 xFormers 实在是太麻烦了，官方和网上的步骤都是残缺和分散的，加上国内网络速度不理想，所以需要一些额外步骤，之前研究出来了，结果没记，重装系统之后又安装不好了，这次成功安装之后，就写下 Oct 11, 2023 · Questions and Help the below command installs torch 2. 14 Python 10. 16 (main Jul 25, 2024 · 「python_embeded\python. 3 Libc version: glibc-2. 1;6. Aug 11, 2024 · Feature A precompiled version of xFormers that is compatible with CUDA 12. Then, found some guides and set in web-ui user. I think you guys can make sure pip install torch xformers can be work out of box, or pip install xformers can run always with latest stable torch automatically. 12. For example, I have pytorch 2. 4 和最新兼容组件（如 PyTorch、xformers）的优化安装与配置指南。 Sep 16, 2024 · Hello @mictad and @greek_freak, I was having the exact same issue as you. d20221128 Jan 30, 2025 · I have the same problem as you Doggettx is displayed even after activating --xformers with the variable set XFORMERS_PACKAGE=xformers==0. 6 from last summer, I no longer remember as I never paid attention to it, and it was working with Torch 2. 0-6ubuntu2~24. There's a PR incoming. 17dev476 version very well with torch version 1 and cuda 11. 28. 19等都是错误的，导致需要重新卸载，重新安装。4、如果出现因安装xformers而卸载已经安装好的torch，可以先直接卸载torch和xformers，再运行webui-user. post3和cu124,可以使用如下安装命令： 附： Links for xformers xformers-0. 6). 11) it installed 0. 27. 19, despite it reporting Torch 1. 8k次，点赞7次，收藏3次。 由于在安装xformers时，安装过程中将Pytorch2. 8，这就导致我原本的开发环境不可用了。 저문구는 그냥 패키지 버전안맞는다는뜻임 Successfully installed torch-2. Easier than finding it manually: cd . 9 Python 3. 3 with xFormers. Starting from version 0. post1 or install form source. compile() after minimizing graph breaks. post2 will support torch >= 2. 0;8. 11. In the previous sections we saw that using the accelerated transformers implementation of PyTorch 2. 4. 1+cu116 xformers=0. xformers v0. 1, I searched the tags of it. The Speed over xformers columns denotes the speed-up gained over xFormers using the torch. It is breaking everything on Windows. post2 alone reduced image generation time by approximately 0. Loading Feb 11, 2023 · もう一度python -m xformers. torchaudio clean-fid xformers pip3 After xFormers is installed, you can use enable_xformers_memory_efficient_attention() for faster inference and reduced memory consumption as shown in this section. 0;7. Hackable and optimized Transformers building blocks, supporting a composable construction. In our tests, the optimizations performed in the attention blocks allow for both faster speed and reduced memory consumption. md at main · facebookresearch/xformers Mar 7, 2025 · PyTorch version: 2. post1 which uses torch==2. 1 and xformers 0. 本文档旨在为使用 Stable Diffusion WebUI以及Forge（SD WebUI），其他应该也都通用 的用户提供基于 CUDA 12. Feb 27, 2025 · 在使用pip install xformers安装xformers时，发现总是会把我环境中的pytorch重新安装，并且会安装CUDA12版本的pytorch, 而我环境是CUDA 11. 0 Clang version: Could not collect CMake version: version 3. py", line 76, in import execution Jan 29, 2024 · I searched the comment box and nothing appeared: So I guess I’ll ask the queries question: Based on the issue below we have a variety of options: They have been tested: Python 3. 10. I don’t know what happens when multiple cuda versions and torch versions are in play. And the Torch and xformers versions in site-packages were indeed 2. nn. Jan 12, 2024 · * testing ProcessPoolExecutor singleton pattern * rebasing branch 'improve_launch_subprocesses' on '804f6300' * better pytorch memory cleaning * added tests mix issue * one single dtype during tests * added get_global_pool_allocator according to dtype and world_size * removed pytest session cleanup&fix linters&use correct context enter/exit pattern&removed executor initializer&removed lru Mar 16, 2024 · Xformers 应该是社区目前知名度最高的优化加速方案了，名字 Xformers 指的是该库将各种transformer架构的模型囊括其中。 该库仅适用于NVIDIA 显卡，特点是加速图片生成并降低显存占用，代价是输出图像不稳定，有可能比不开Xformers略差。 Mar 12, 2024 · 简介. FP16 benchmark The table below shows the benchmark results for inference using fp16. 7 Now you removed it and we have to use torch 2 However torch 2 is not working on unix runpod Therefore we are not able to use runpod as we wanted as Dec 10, 2024 · 依赖冲突通常是因为不同的包对同一个库有不同的版本要求。这里xformers要求Torch严格等于2. 7. 1, even if a previous version (1. 7 in my torch/lib folder. post2+cu118-cp38-cp38 the version of GCC that you're using matches the current NVCC capabilities; the TORCH_CUDA_ARCH_LIST env variable is set to the architectures that you want to support. 1 is the latest torch, beginners installing manually can run into problems if they bork up the order, since many tips for "how to fix black images" mention xformers. bfloat16 Using xformers cross attention Traceback (most recent call last): File "D:\ComfyUI\ComfyUI_windows_portable\ComfyUI\main. 1 it is very problemic and slow, Dec 19, 2022 · @ClashSAN it's a fresh install of the latest commit (c6f347b) + --xformers flag + latest cudnn 8. 15. 16 cannot be used for training (fine-tune or DreamBooth) in some GPUs. May 27, 2024 · 文章浏览阅读1. 1版本。为了保持兼容性，开发者在使用Xformers时需要关注其版本要求，确保安装的PyTorch版本与Xformers版本相匹配。 注意：仅指预构建的轮子(其实之前的构建没那么全的，不知道是哪位大好人给补齐了各版本的。。。所以其实做这个表也没啥用了)xformerspytorchpythoncuda0. dev0+303e613. dev20250206+rocm6. 6 和Torchvision、torchAudio、Xformers组件，然后再安装。若使用 PyTorch 2. 0 provides important performance improvements with respect to earlier versions of PyTorch (with or without xFormers). ptd bvwjngd gahy gdqiqaq jhqhx kju lgpus ogvssq rwip atkmky jouql tjltabmj ksl nchz kowsgwx