Nvidia Blackwell 50XX GPU instructions (updated)

[w-e-w]

Update 20250501

Official PyTorch 2.7.0 wheels with Blackwell 50 series support and xFormers have been released

Pull Request have been merged into dev branch

• PyTorch 2.7.0 xFormers 0.0.30 #16972

Updated instructions on how to install for 50 series (also work for non 50 series)

For casual windows users

follow the instructions of Install-and-Run-on-NVidia-GPUs#windows-method-1
the newly updated sd.webui.zip includes a new switch-branch-toole.bat that can simplify switching branch
use switch-branch-toole.bat to switch to dev branch

Advance users

For new install clone the webui branch dev

git clone --filter=blob:none -b dev https://github.com/AUTOMATIC1111/stable-diffusion-webui.git

-b dev to clones the desired a branch directly
--filter=blob:none save around 30MB of disk space

or if you prefer you can do it in separate steps

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui
git switch dev

---

For existing installations you can switch to dev branch without re-cloneing

may have to run git pull after git switch dev

cd stable-diffusion-webui
git switch dev
git pull

if you're already on the dev branch then just git pull should work

after switching launch webui with COMMANDLINE_ARGS --reinstall-torch to tell it to reinstall PyTorch

also launch with --reinstall-xformers if you are using xFormers
remember to remove --reinstall-torch --reinstall-xformers afterwards

---

revelant wiki How-to-switch-to-different-versions-of-WebUI

---

Outdated info

As PyTorch have not yet released a compatible builds for Blackwell GPUs
we have been allowed to publish Early Access PyTorch wheels by Nvidia

---

There are several methods to run on Blackwell 50XX GPUs

Method 1: use the a new standalone release

Recommended for new install or for those not familiar with terminals / commands)

we have prepared a standalone release for Windows which can be downloaded here sd.webui-1.10.1-blackwell.7z (1.8GB)

1. Download sd.webui-1.10.1-blackwell.7z
2. Extract using 7z

Windows 11 seems to have it added native 7z support

3. Click run.bat to launch webui

note: do not enable --xformers, currently it is not compatible xformers v0.0.29.post2 is released, see below for instructions

Method 2: use the latest dev branch

Recommended for those who are migrating from existing installation and for those who are familiar with commands and terminals

• As of Blackwell compatibility (Windows only) #16817 the dev branch have been update with auto detection of blackwell GPUs, when detected it will automatically install the appropriate PyTorch which version

1. Follow the guide on how to switch branches see wiki How to switch to different versions of WebUI

instead of the release_candidate in the example substituted with dev to switch to dev branch

2. Add --reinstall-torch to COMMANDLINE_ARGS to tell webui to reinstall PyTorch
3. Launch webui

remember to remove--reinstall-torch from COMMANDLINE_ARGS after it's done reinstalling PyTorch

Method 3: manual upgrade

Meant for developers
The PyTorch wheels are provided at https://huggingface.co/w-e-w/torch-2.6.0-cu128.nv
This should be all the info you need

xformers (may not work)

to use xformers
you need you need to set the environment variable XFORMERS_PACKAGE to xformers==0.0.29.post2
on windows this can be done by adding the following line to to webui-user.bat before call webui.bat

set XFORMERS_PACKAGE=xformers==0.0.29.post2

the webui-user.bat should look like something this (click to expand)

@echo off

set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--xformers
set XFORMERS_PACKAGE=xformers==0.0.29.post2

call webui.bat

note: if you have previously used --xformers then you will need to add --reinstall-xformers to tell webui to reinstall xformers

similer to --reinstall-torch, remeber to remove --reinstall-xformers after it's done

[Andy91xx]

thank you its working i chose the portable installer, when using a detailer i get this in the command prompt

WARNING ⚠️ torchvision==0.20 is incompatible with torch==2.6.██████████████████████████| 40/40 [00:07<00:00, 5.38it/s]
Run 'pip install torchvision==0.21' to fix torchvision or 'pip install -U torch torchvision' to update both.
For a full compatibility table see https://github.com/pytorch/vision#installation

Running that command simply upgraded the torch that is installed in my system not in this portable version, also will this portable version work on linux ?

[w-e-w]

some people seems to have reported similer issues over at adetailer repo

• [Bug]: Ultralytics error when using Torch 2.6 cu128 Bing-su/adetailer#767

[Slider-Override]

The "Method 1" ends in a Instant BlackScreen crash follow by a reset of the PC, looks like there is a issue did someone else try it on Windows ?

[w-e-w]

can you try method 2
clone and then switch to dev branch before running
if mehtod 2 also creash then there might be something wrong with your hardware

what GPU do you have?
have you tried stress testing your GPU
do you have a PSU that has enough wattage
I will try physically reinstalling your GPU, maybe it's not installed properly?

[Kraisith]

I have the same exact issue, tried method 2 as well. Sometimes I can get it to generate 1 or 2 images but then the black screen happens (which then forces me to press the physical reset button on the PC). I have a 5080, FurMark etc. works fine, reseating didn't help.

[persistent-aura]

I'm also having this black screen issue on my new system with an RTX5080 and 1200W PSU. The latest nvidia driver hotfix did not fix the problem.

[Andy91xx]

Yup windows 11 works fine.

…

On Wed, 5 Feb 2025 at 20:05, Slider-Override ***@***.***> wrote: The "Method 1" ends in a Instant BlackScreen crash follow by a reset of the PC, looks like there is a issue did someone else try it on Windows ? — Reply to this email directly, view it on GitHub <#16818 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BFGWKZ6CZITMNLU26H6WB4D2OJVIRAVCNFSM6AAAAABWFKHJG2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTEMBXGQYDIOI> . You are receiving this because you commented.Message ID: <AUTOMATIC1111/stable-diffusion-webui/repo-discussions/16818/comments/12074049 @github.com>

[Slider-Override]

which card do you have ?
on my side it runs direkt into a Blackscreen and the PC reboots

[w-e-w]

I thinks the has a 5090

• UserWarning: NVIDIA GeForce RTX 5090 with CUDA capability sm_120 is not compatible with the current PyTorch installation #16822

[Slider-Override]

Yeah Its a 5090 MSI Trio, its possible thats a issue with the Driver, because see as well Blackscreen reports from other users.

[Andy91xx]

I have a gaming trio and works fine for me. I’m a fresh install of windows though due to having issues after installing the card.

…

On Thu, 6 Feb 2025 at 07:30, Slider-Override ***@***.***> wrote: Yeah Its a 5090 MSI Trio, its possible thats a issue with the Driver, because see as well Blackscreen reports from other users. — Reply to this email directly, view it on GitHub <#16818 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BFGWKZZA3C55PKIZGRZKQJL2OMFRJAVCNFSM6AAAAABWFKHJG2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTEMBXHA2DCNQ> . You are receiving this because you commented.Message ID: <AUTOMATIC1111/stable-diffusion-webui/repo-discussions/16818/comments/12078416 @github.com>

[PicceloStudios]

I'm on a 5090 FE from a 3090, on an old Windows 11 installation, all seem to work fine after I did a clean installation from the Method 1. share here.

Although I was having issues at the beginning trying to use a "Latent tile batch size" of 8, It was taking the memory to my RAM and taking ages.
Which was working perfectly fine previously in my 3090 with 24gb of VRAM Then I remember that I had xformers installed on my previous version which is still not supported for the 50 series, its a shame! I hope it gets xformers support soon.

Thanks for sharing this information was life saving!

[PicceloStudios]

forgot to say, give me feedback on if it works or not

Hello and sorry for my late reply.

It didnt work not sure if I did something wrong I did follow all your steps, upgraded CUDA from 12.1 to 12.6 and also included the xformers into the webui-user.bat, it did install them into the SD folder and when executing SD it doesnt show any errors.

Environment:

webui-user.bat

Maybe I have missed something? I suppose the pytorch 2.6 is already implicit with the Method 1 standalone Folder?

[w-e-w]

Maybe I have missed something?

from what I can see from screenshot looks fine

It didnt work not sure if I did something wrong

I need you to explain how is not working, how do you know it's not working
do dose the UI runs what dose the footer shows?

for 50xx it should show something like

if possible upload sysinfo.json goto settings > sysinfo > download system info
and past in any consol logs

---

I did follow all your steps, upgraded CUDA from 12.1 to 12.6

well, I don't recall including upgrading CUDA as a part of the instructions, pytorch includs CUDA runtime so shouldn't as long as your driver is reasonably up to date

I suppose the pytorch 2.6 is already implicit with the Method 1 standalone Folder?

the pytorch in the standalone package pytorch 2.6 with CUDA 12.8 not 12.6
and it doesn't matter you if the CUDA runtime of your system is 12.8 or 12.6, it uses CUDA runtime bundled with pytorch whitch is 12.8

[PicceloStudios]

Hello and thanks for your prompt response,

I'm sorry, I think the 12.6 cuda I read it from here:

here are my findings and why I think is not working for me:

Here is an example with the xformers activated:


1min.57.7sec.

and here is the same parameters without xformers:


1min.54.7sec.

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.

Not sure if this is something to do with this being a preview version?

Here is my sysinfo:
sysinfo-2025-02-07-09-45.json

And thank you so much for taking the time to help me out on this, I really appreciate the effort!

[w-e-w]

unfortunately I don't really have a good answer
all I can say is that is seems to be working fin on my 3090
I guess I have to update the post to
xformer unverified

on my system running with sd1.5 a 512x768 + 2x upscale + hires fix with another sd1.5 model

with xformers

without

with xformers processing time and memory usage is significantly lower

[PicceloStudios]

unfortunately I don't really have a good answer all I can say is that is seems to be working fin on my 3090 I guess I have to update the post to xformer unverified

on my system running with sd1.5 a 512x768 + 2x upscale + hires fix with another sd1.5 model

with xformers

without

with xformers processing time and memory usage is significantly lower

Thank you so much for your time and effort, I hoped you had a magic wand, in any case it is really appreciated.

Dont get me wrong, it is super fast compared to the 3090 thats for sure is just that of course I would like to squeze the performance properly, I guess I will have to wait until there is a stable version for me to test that actually enable the xformers on my 5090.

Here is an example with similar parameters to yours

and here is the same example with added parameters to yours (sd1.5 at 512x768 + 2x upscale + Tiled diffusion + Tiled VAE + Control net)

My issue is that I use SD to upscale large imagery pretty large up to 8K, so it takes time to upscale them and in this profesion (Archviz) every minute counts! I was hoping with xformers that I didnt have to split the images in smaller chunks and upscale them separately but rather do it in one go, it seems for now I will have to stick to this workflow.

Again I'm deeply grateful for your help! thank you so much!

[tripleS-Dev]

Im using 5090,

When it starts

gradio 3.41.2 requires pillow<11.0,>=8.0, but you have pillow 11.0.0 which is incompatible.
xformers 0.0.29.post2 requires torch==2.6.0, but you have torch 2.7.0.dev20250127+cu118 which is incompatible.

And When I want to train Lora

loading vae: <All keys matched successfully>
FETCH ComfyRegistry Data: 15/32
loading text encoder: _IncompatibleKeys(missing_keys=[], unexpected_keys=['text_model.embeddings.position_ids'])
Enable xformers for U-Net
Traceback (most recent call last):
  File "C:\Users\hj6ch\Downloads\ComfyUI_cu128_50XX\ComfyUI\custom_nodes\Lora-Training-in-Comfy\sd-scripts\train_network.py", line 1012, in <module>
    trainer.train(args)
  File "C:\Users\hj6ch\Downloads\ComfyUI_cu128_50XX\ComfyUI\custom_nodes\Lora-Training-in-Comfy\sd-scripts\train_network.py", line 236, in train
    vae.set_use_memory_efficient_attention_xformers(args.xformers)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 273, in set_use_memory_efficient_attention_xformers
    fn_recursive_set_mem_eff(module)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 269, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 269, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 269, in fn_recursive_set_mem_eff
    fn_recursive_set_mem_eff(child)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\modeling_utils.py", line 266, in fn_recursive_set_mem_eff
    module.set_use_memory_efficient_attention_xformers(valid, attention_op)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\diffusers\models\attention_processor.py", line 395, in set_use_memory_efficient_attention_xformers
    raise ValueError(
ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU
Traceback (most recent call last):
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\commands\launch.py", line 996, in <module>
    main()
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\commands\launch.py", line 992, in main
    launch_command(args)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\commands\launch.py", line 986, in launch_command
    simple_launcher(args)
  File "C:\Users\hj6ch\AppData\Local\Programs\Python\Python310\lib\site-packages\accelerate\commands\launch.py", line 628, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['C:\\Users\\hj6ch\\AppData\\Local\\Programs\\Python\\Python310\\python.exe', 'C:/Users/hj6ch/Downloads/ComfyUI_cu128_50XX/ComfyUI/custom_nodes/Lora-Training-in-Comfy/sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=C:\\Users\\hj6ch\\Downloads\\ComfyUI_cu128_50XX\\ComfyUI\\models\\checkpoints\\henmixReal_v6b.safetensors', '--train_data_dir=A:/temp/memory', '--output_dir=models/loras', '--logging_dir=./logs', '--log_prefix=seoah_v1', '--resolution=512,512', '--network_module=networks.lora', '--max_train_epochs=100', '--learning_rate=1e-4', '--unet_lr=1e-4', '--text_encoder_lr=1e-5', '--lr_scheduler=cosine_with_restarts', '--lr_warmup_steps=0', '--lr_scheduler_num_cycles=1', '--network_dim=32', '--network_alpha=32', '--output_name=seoah_v1', '--train_batch_size=5', '--save_every_n_epochs=50', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=22', '--cache_latents', '--prior_loss_weight=1', '--max_token_length=225', '--caption_extension=.txt', '--save_model_as=safetensors', '--min_bucket_reso=256', '--max_bucket_reso=1584', '--keep_tokens=0', '--xformers', '--shuffle_caption', '--clip_skip=2', '--optimizer_type=AdamW8bit', '--persistent_data_loader_workers', '--log_with=tensorboard']' returned non-zero exit status 1.
Train finished
Prompt executed in 13.01 seconds

What is problem and How can I fix it?

[w-e-w]

I believe you're asking in the wrong repo...

[persistent-aura]

On a 5080. My screen turns black the moment I try to generate an image. On low res like 512x512 the screen will return after a few seconds but on higher resolutions it stays black and I need to restart the PC to fix the issue. The image still generates. Today's nvidia driver hotfix didn't fix the problem.

[PicceloStudios]

I know is a silly question but have you double checked all your connections? that are properly plug, the Displayport/Hdmi to the screen. it seems to be a weird artifact that of yours, only happen with SD? not while playing video games or any other GPU Intensive tasks?

I have seen collegues with 5090's FE that have issues with Photoshop, appears to blink the screen in the background while moving the cursor around.

Edit: My 5090 is working fine so far with the 572.42, I dont want to update the GPU Driver just in case something goes terribly wrong! I prefer to stay safe for the moment!

I had actually 1 issue while my computer was in sleep mode and after waking up turns out on a Blue screen and restarted by it self.

[persistent-aura]

Everything is plugged in well. Furmark benchmark tests come back fine. Games play without issues. I can run large LLMs locally like deepseek-r1 32B.
I've only had this issue while generating with stable diffusion so far. It also happens in comfyui. Doesn't seem to make a difference if I use lighter models like sd1.5 or heavier ones like SDXL.

[PicceloStudios]

Everything is plugged in well. Furmark benchmark tests come back fine. Games play without issues. I can run large LLMs locally like deepseek-r1 32B. I've only had this issue while generating with stable diffusion so far. It also happens in comfyui. Doesn't seem to make a difference if I use lighter models like sd1.5 or heavier ones like SDXL.

It seems this GPUs are still not optimized for SD at the moment... Mine runs fine, but Xformers doesnt work for me, I suppose we will have to wait until they drop a stable version thatworks properly with the 50 series.

[Zedrath]

Using Reforge it downloads the official release of a nightly for Cuda 12.8 for windows that was released a few days ago. But here, same issue. It seems semi stable with certain checkpoints, while others crashes the GPU into a black screen it cant recover from on first generation every time. I've been able to run some realistic models for maybe 20 generations, but then randomly crash.

I've got a 5080 as well. It seems support and optimization is horrible and we might have to wait a month or so more before they figure out how to run it stable.

[Panchovix]

It seems that nightly torch 2.7 from 21 February works fine. I can modify it on reforge, but torchvision has to be built (since doesn't seem windows have builds out of the box)

If linux, it should work fine with nightlies.

[Panchovix]

Added some builts torchvision for nightly 2.7 + cu128 for windows, it shouldn't give black images Panchovix/stable-diffusion-webui-reForge@ebe6e5e

[Fulll3]

Hi,

Does anyone know if Blackwell version is available also for Linux?

[ijash]

Hi,

Does anyone know if Blackwell version is available also for Linux?

Idk, but i have ran a1111 on blackwell.

first, install nvidia driver from nvidia site.

then, i follow the regular steps. run bash webui.sh and it will error cannot find kernel module for nvidia or somehing... .

abort the terminal, then activate the venv
and run pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128
then run bash webui.sh again.

tested on linux mint latest using rtx 5080.

[zlo899nv]

@Fulll3 Yes there is Linux support... Linux x86_64, Linux SBSA, and Windows through the command @ijash posted. Thanks!

[Fulll3]

Thanks guys. i got it running but without xformers it seems to perform same as 4090

[PicceloStudios]

Thanks guys. i got it running but without xformers it seems to perform same as 4090

Its the same for me, I got it running although it has Xformers running it doesnt seem to be working since the time generation is the same with them or without.

[slann303]

Hi,
Does anyone know if Blackwell version is available also for Linux?

Idk, but i have ran a1111 on blackwell.

first, install nvidia driver from nvidia site.

then, i follow the regular steps. run bash webui.sh and it will error cannot find kernel module for nvidia or somehing... .

abort the terminal, then activate the venv and run pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 then run bash webui.sh again.

tested on linux mint latest using rtx 5080.

Thanks man! This did the trick. I am running Ubuntu 24.04 LTS with a 5090.

[Andy91xx]

Alternatively if using an Arch based distribution simply install the nvidia open dkms drivers from pacman or yay then follow these instructions although I installed a nightly build to get mine working

…

On Wed, 19 Mar 2025 at 17:00, Jastria Rahmat ***@***.***> wrote: Hi, Does anyone know if Blackwell version is available also for Linux? I have. first, install nvidia driver from nvidia site. theni follow the regular steps. then activate the venv and run pip install --pre torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/cu128 then run bash webui.sh. tested on linux mint latest using rtx 5080. — Reply to this email directly, view it on GitHub <#16818 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BFGWKZZR7TSXF75NHSY7TVT2VGPC5AVCNFSM6AAAAABWFKHJG2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTENJVGQ4DKNA> . You are receiving this because you commented.Message ID: <AUTOMATIC1111/stable-diffusion-webui/repo-discussions/16818/comments/12554854 @github.com>

[Andy91xx]

I use Garuda with a 5090

…

On Wed, 19 Mar 2025 at 17:08, Andy L ***@***.***> wrote: Alternatively if using an Arch based distribution simply install the nvidia open dkms drivers from pacman or yay then follow these instructions although I installed a nightly build to get mine working On Wed, 19 Mar 2025 at 17:00, Jastria Rahmat ***@***.***> wrote: > Hi, > > Does anyone know if Blackwell version is available also for Linux? > > I have. > > first, install nvidia driver from nvidia site. > > theni follow the regular steps. > > then activate the venv > and run pip install --pre torch torchvision torchaudio --index-url > https://download.pytorch.org/whl/nightly/cu128 > then run bash webui.sh. > > tested on linux mint latest using rtx 5080. > > — > Reply to this email directly, view it on GitHub > <#16818 (reply in thread)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/BFGWKZZR7TSXF75NHSY7TVT2VGPC5AVCNFSM6AAAAABWFKHJG2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTENJVGQ4DKNA> > . > You are receiving this because you commented.Message ID: > <AUTOMATIC1111/stable-diffusion-webui/repo-discussions/16818/comments/12554854 > @github.com> >

[9wow]

Is it normal for xformers to not show up in the Cross attention optimization list (Settings\Optimizations) and for A1111 to say its using Doggettx in the terminal? xformers==0.0.29.post2 is installed and i've ran '--reinstall-xformers'

[Fateroachinii]

If the console displays the message "Applying attention optimization: Doggettx... done," it means that xformers did not activate. I have the same issue and don't know how to fix it—I followed the instructions exactly while installing the portable version. My GPU is a 5070 ti.

[TITORDFOX]

If the console displays the message "Applying attention optimization: Doggettx... done," it means that xformers did not activate. I have the same issue and don't know how to fix it—I followed the instructions exactly while installing the portable version. My GPU is a 5070 ti.

I have the same problem as you
Doggettx is displayed even after activating --xformers with the variable
set XFORMERS_PACKAGE=xformers==0.0.29.post2
and I tried with the new version it too 0.0.29.post3
but I have the same result

the only difference is that with --xformers activated
the generation of the 3K image takes 1 minute longer
and uses 10GB more Vram

my GPU is a 5090

[PicceloStudios]

If the console displays the message "Applying attention optimization: Doggettx... done," it means that xformers did not activate. I have the same issue and don't know how to fix it—I followed the instructions exactly while installing the portable version. My GPU is a 5070 ti.

I have the same problem as you Doggettx is displayed even after activating --xformers with the variable set XFORMERS_PACKAGE=xformers==0.0.29.post2 and I tried with the new version it too 0.0.29.post3 but I have the same result

the only difference is that with --xformers activated the generation of the 3K image takes 1 minute longer and uses 10GB more Vram

my GPU is a 5090

Unfortunately (Don't understand why) Xformers are not working within the Blackwell 5090 GPU's Architecture (Not sure about the other GPU's of the 50 series) Xformers are meant to reduce the amount of VRAM used for SD Image generation rather than increasing it, as well as speeding up the initial steps processes, so If you are having an extra minute or so by enabling them there most be something wrong with your installation, I repeat Xformers are not working so far, will need to wait until a fix comes around and activate those for our Blackwell GPUs, I also have a 5090, and use to do SD with a 3090 with Xformers and was able to do 12K without a problem, ofcourse with an increase on time generation.

In my personal case, it takes the same time to generate an image with or without Xformers activated, no matter the size of the image, even though it shows in the console that is working with Xformers activated, its a pain obviusly for someone that was accustomed to quick image generation starting processes.

I hope this helps.

[MadMan2k]

If the console displays the message "Applying attention optimization: Doggettx... done," it means that xformers did not activate. I have the same issue and don't know how to fix it—I followed the instructions exactly while installing the portable version. My GPU is a 5070 ti.

I have the same problem as you Doggettx is displayed even after activating --xformers with the variable set XFORMERS_PACKAGE=xformers==0.0.29.post2 and I tried with the new version it too 0.0.29.post3 but I have the same result
the only difference is that with --xformers activated the generation of the 3K image takes 1 minute longer and uses 10GB more Vram
my GPU is a 5090

Unfortunately (Don't understand why) Xformers are not working within the Blackwell 5090 GPU's Architecture (Not sure about the other GPU's of the 50 series) Xformers are meant to reduce the amount of VRAM used for SD Image generation rather than increasing it, as well as speeding up the initial steps processes, so If you are having an extra minute or so by enabling them there most be something wrong with your installation, I repeat Xformers are not working so far, will need to wait until a fix comes around and activate those for our Blackwell GPUs, I also have a 5090, and use to do SD with a 3090 with Xformers and was able to do 12K without a problem, ofcourse with an increase on time generation.

In my personal case, it takes the same time to generate an image with or without Xformers activated, no matter the size of the image, even though it shows in the console that is working with Xformers activated, its a pain obviusly for someone that was accustomed to quick image generation starting processes.

I hope this helps.

Same thing here with the 5070 Ti. No luck with xformers 0.0.29.post2. The system says it is activated, but there is no noticeable difference in generation speed

[LoksliSpb]

Hello everyone, I have installed a working build for the NVIDIA 5080 series graphics card using method 1. Thank you very much to those who made it. But only the SD work. FLUX and XL models not, for some reason they are not available in this build. Or is there something I don't understand?

[ijash]

Can you post the log?

[MadMan2k]

Could someone make ReActor work with this version of automatic1111?

I have this output

RuntimeError: D:\a\_work\1\s\onnxruntime\python\onnxruntime_pybind_state.cc:857 onnxruntime::python::CreateExecutionProviderInstance CUDA_PATH is set but CUDA wasnt able to be loaded. Please install the correct version of CUDA andcuDNN as mentioned in the GPU requirements page (https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements), make sure they're in the PATH, and that your GPU is supported.

[MadMan2k]

And yes, if it’s relevant, I start my SD using the run.bat file

[ijash]

Just maybe..

1. Disable xformers
2. Update to the latest nvidia driver.

That's it for now.
Again, report back with your commands, and logs. Hopefully me or others can help until it solved.

[MadMan2k]

1. I've tried even clean install, so xformers was not even enabled
2. I have the latest one 572.83

[MadMan2k]

Anyway, thank you for trying to help me

[MadMan2k]

I tried to run ReActor on ComfyUI, like you did, and it works after manually updating torch and torchvision. As far as I can tell (I'm not familiar with ComfyUI), it seems to work - at least I got a relevant output and encountered no errors. However, I still had no luck with Automatic1111

[daniel-krueger12]

SD Blackwell works for my 5090 but did you find a way to install xformers. or are there other ways for faster generation.
In another git I read that someone compared xformers with sdpa and that there were hardly any differences.
the problem is i can hardly find somethink about sdpa do you may know what that is and how to set it up with rtx 50 card.
Do you think we will have an easy way to install stable deffusion and xformers by Easter? i would love to spent my free time with sd.

[MadMan2k]

It says here that you can use xformers v0.0.29.post2, but many users (including me) have reported that even though it says xformers is being used, there is practically no change. So, for now, we probably just need to wait

[tiekom]

Hey, I got mine working. It went from 37.6 seconds on my RTX 4090 to 25 on my new 5090.

1. Install the dev branch on your PC, and then you need to make a few tweaks.

2. Install a beta version of xformers here. Just add these options to your webui-user.bat if you already had xformers delete it from venv\Lib\site-packages directly.

   set COMMANDLINE_ARGS=--force-enable-xformers --xformers
   set XFORMERS_PACKAGE=xformers==0.0.30.dev1005
   

3. Then you must ensure your torch version is: torch: 2.6.0+cu128.nv

4. If you do everything, you should see the option in the Optimization Tab in the settings.

****

I hope it fixes your issue. I think that the xformers next 0.0.30 version will fix the problems with the new cards.

[MODFireball]

@tiekom's solution worked for me, though I did it a bit lazier - just used the standalone and added "--reinstall-xformers" first to the commandline_args, similarly to first xformers instructions at the top. From quickly testing, takes 30% less time on my 5080.

[Isaiah53John316]

--force-enable-xformers --xformers and 0.0.30 (non-beta) was what worked for me on the dev branch. Thanks a bunch!

[LoksliSpb]

Hello everyone, I'm still using the stable Forge build from method 1, but I still haven't been able to add support for the FLUX and XL models. Is there any way to do this?

[daniel-krueger12]

i think i got it
version: [v1.10.1]•  python: 3.10.6  •  torch: 2.6.0+cu128.nv  •  xformers: 0.0.30.dev1005  •  gradio: 3.41.2
but i can only use python:3.10.6 with blackwell SD.
i am not sure i checked the speed of my 4090 vs 5090.
1280x1280 and 60 steps:
4090 with xformers 0.0.23.pos1 tooked 14 to 15 sec
5090 with xformers 0.0.30.dev1005 tooked 10-12 sec
with Hires. fix was is about 12 sec faster 51 sec vs 39 sec.

do you think it can get faster with the future releases of SD and Xformers

ohh btw 5090 without xformer took 17-18 sec.

PS:
THANK YOU ALL
FOR YOUR HARD WORK <3

[IWillRemember]

Can someone make a really noob friendly guide on how to do this? I ( and probably a lot more people... ) know nothing about coding...
It would be nice to have a step by step guide on how to do this and what to modify.

[slann303]

What system do you have that you need the tutorial for (operating system, Version of the operating system, GPU vendor and model).

[IWillRemember]

What system do you have that you need the tutorial for (operating system, Version of the operating system, GPU vendor and model).

Windows 10, also i'm using reforge if it helps... thank you so much btw ! I can't seem to install xformers even following the guide below... (rtx5090 asus)

[jkhashi]

thank you so much for this. I am totally new in this artistic field and learning along the way. After a week of troubleshooting in my free time, and a little lost sleep, I was able to pinpoint the "no kernel" error presented when using an RTX 50 series GPU A sufficiently informed google search then brought me to this solution.

I'm just a normal dude with sub average to average at best overall skill with capabilities of a modern computer, and zero formal training in any categories or fields pertaining to this concept. I know it's a tired cliche but if I could get all this to work just for fun in my downtime, anybody with a little patience would be able to as well; but only thanks to communal information provided by the wonderful people who believe in the potential of their fellow man.

[ain1084]

Thanks everyone! Based on the info shared in this discussion, I was able to successfully enable xformers on my Windows + RTX 5080 environment.

Since the steps were a bit scattered, I put together a detailed guide below. Hope it helps anyone else trying to do the same!

The GitHub Discussions contain some useful links, but I found them a bit fragmented and hard to follow—especially for people not familiar with Python environments.

Since I recently set up Stable Diffusion WebUI with RTX 5080 (Blackwell) on Windows and got xformers working, I wanted to share the complete steps in one place. Hope this helps someone in the same situation!

Prerequisites

• Windows 11
• Python 3.10.6
• Git

Note: I ran all commands using cmd.exe (Command Prompt), not PowerShell.

Clone the Repository

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
cd stable-diffusion-webui

First Launch (GPU will not be used yet)

This will initialize the venv and other directories. You can stop it afterward.

webui-user.bat

Once the browser tab opens, close the terminal or press Ctrl+C.

Replace PyTorch and torchvision (Blackwell-compatible)

1. Activate the Python virtual environment

cd stable-diffusion-webui
venv\Scripts\activate

2. Uninstall current versions

pip uninstall torch torchvision

3. Download and install Blackwell-compatible builds

Downloads available here:
https://huggingface.co/w-e-w/torch-2.6.0-cu128.nv

Specifically for Python 3.10:

• torch-2.6.0+cu128.nv-cp310-cp310-win_amd64.whl
  https://huggingface.co/w-e-w/torch-2.6.0-cu128.nv/resolve/main/torch-2.6.0%2Bcu128.nv-cp310-cp310-win_amd64.whl

• torchvision-0.20.0a0+cu128.nv-cp310-cp310-win_amd64.whl
  https://huggingface.co/w-e-w/torch-2.6.0-cu128.nv/resolve/main/torchvision-0.20.0a0%2Bcu128.nv-cp310-cp310-win_amd64.whl

Install both:

pip install torch-2.6.0+cu128.nv-cp310-cp310-win_amd64.whl
pip install torchvision-0.20.0a0+cu128.nv-cp310-cp310-win_amd64.whl

You might see some error or warnings, but if it ends with:

• Successfully installed torch-2.6.0+cu128.nv
• Successfully installed torchvision-0.20.0a0+cu128.nv

then you're good!

Enable xformers

Edit webui-user.bat like so:

set COMMANDLINE_ARGS=--force-enable-xformers --xformers
set XFORMERS_PACKAGE=xformers==0.0.30.dev1005

Then exit the venv:

deactivate

And relaunch:

webui-user.bat

Benchmark (SDXL 1024x1024, sampling steps = 64)

Hardware: RTX 5080

xformers	Time (sec)
Off	16.8 / 16.4 / 16.4
On	12.5 / 12.2 / 12.2

I hope this guide is helpful to someone!

[IWillRemember]

Hi i wanted to ask if there are any different steps to follow for reforge, instead of auto1111 , on reforge i can't seem to get it working...

[ain1084]

I tried running this on reForge as well.

And yes, you're absolutely right — unfortunately, xformers doesn't seem to work there. It shows "xformers: N/A" at the bottom of the WebUI, and despite trying a few different approaches, I couldn't get it working.

This was actually my first time using reForge, and I did notice something interesting: even without xformers, the generation time is noticeably shorter than with the default AUTOMATIC1111 build.

Here are the results I got (SDXL 1024x1024, steps=64, RTX 5080):

software	xformers	Time (sec)
AUTOMATIC1111	off	16.8 / 16.4 / 16.4
AUTOMATIC1111	on	12.5 / 12.2 / 12.2
reForge	off	13.7 / 13.4 / 13.5

So even though xformers isn't working, reForge does seem pretty well-optimized on its own.

[Panchovix]

For reforge and blackwell, you have to either:

1. Build from source (https://github.com/facebookresearch/xformers?tab=readme-ov-file#installing-xformers)
2. Use a pre built wheel, I did one some time ago https://huggingface.co/Panchovix/xformers-windows-blackwell2.0-nightly, but probably have to update it. Also this is a wheel only for windows and python 3.12.

You can also use sageattention (again only 3.12 and windows) https://huggingface.co/Panchovix/sageattention2.1.1-blackwell2.0-windows-nightly with --disable-xformers and --use-sage-attention, which is faster than xformers. Again probably if that wheel doesn't work, you have to build from source.

[IWillRemember]

For reforge and blackwell, you have to either:

1. Build from source (https://github.com/facebookresearch/xformers?tab=readme-ov-file#installing-xformers)
2. Use a pre built wheel, I did one some time ago https://huggingface.co/Panchovix/xformers-windows-blackwell2.0-nightly, but probably have to update it. Also this is a wheel only for windows and python 3.12.

You can also use sageattention (again only 3.12 and windows) https://huggingface.co/Panchovix/sageattention2.1.1-blackwell2.0-windows-nightly with --disable-xformers and --use-sage-attention, which is faster than xformers. Again probably if that wheel doesn't work, you have to build from source.

Thanks for your time ! and sorry if i bother , but i have more problems 😢 , how do i install python 3.12 on reforge? i think reforge uses 3.10 and the wheels are not compatible with 3.10 as you said , also i'm an inept with coding , cmd , etc , never done it ever , so i just follow instrunctions.... thank you for your help !

[PicceloStudios]

Hello mate, in my particular case, I don use Hires at all, I use the tiled VAE + tiled diffusion approach with a modifier to sharpen the image, that means SD will fragment the image in small squares and render them separately and then stitch them back together, depending on the settings you use, this will show or not show the squares in the final image, with this approach the generation of large scale images takes way less time processing and rendering rather than asking SD to render a Hires image of huge amount of pixels. Of course all dependant on the type of hardware you have. I hope this helps, there is plenty of tutorials in YouTube and guides online of how to set up the Tiled VAE+Tiled Diffusion work stream. Best wishes!

…

On Fri, 18 Apr 2025, 16:39 Womgoose, ***@***.***> wrote: I think my hires is broken or something, everyone else got massive gains but mine took much much much longer. My simple hires took almost 18 minutes. I'm not getting any errors so I'm not sure what the problem is. Any Tips? — Reply to this email directly, view it on GitHub <#16818 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BPGPG7A7UYKQUSJ2OMY6M3322EMB7AVCNFSM6AAAAABWFKHJG2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTEOBXHE2TEOA> . You are receiving this because you commented.Message ID: <AUTOMATIC1111/stable-diffusion-webui/repo-discussions/16818/comments/12879528 @github.com>

[rorisk]

https://pytorch.org/blog/pytorch-2-7/

It was released ;)

[rorisk]

Ouch, sh.... I see it now :(

[Vanichan07]

Is it normal for the version to become slower? I have a 5070ti. At first, everything was fine, but now the rendering is only half as fast and is completely sapping the GPU, so I get freezes.

[w-e-w]

update PyTorch 2.7.0 was released
see original post

[Kitchnsnk]

While it was released, Nvidia also updated their drivers so there is a bit of trouble again.

Got a new 5060 Ti 16GB card and I have been itching to do a local install of SD.

Nvidia Driver Game Ready 576.28 (though I have tried the Studio as well)
I've downloaded and installed the new Pytorch 2.7 that supposedly supports Blackwell and 5060
Git latest
Python 3.10.06

Followed all the instructions https://www.nextdiffusion.ai/tutorials/how-to-install-stable-diffusion-on-windows

And when I run webui-user.bat and try to create an image, I get

RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.

When I run nvidia-smi from the cmd it tells me I have 576.28 but the CUDA version shows up as 12.9

I'm banging me 'ed against a wall here... is it the drivers/cuda/pytorch/python are conspiring against my degenerate diffusion dreams?

Any help would be greatly appreciated

[w-e-w]

nvidia-smi Driver 576.28 CUDA version shows up as 12.9

that is perfectly normal and is nothing to worry about

Followed all the instructions on nextdiffusion.ai .....

while glancing at it I don't see anything wrong in that article, but considering that article is written for webui 1.4.0 which does not have the additional instructions on how to manually install PyTorch as such I cannot be sure if you have actually install PyTorch correctly

I will suggest you do a fresh install using method 1 on the wiki
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs#windows-method-1

method 1 is possibly the simplest method to install WebUI on Windows, it is even theoretically portable
you don't even need to install Python and git yourself as it is included them in the download
while there is some disadvantage in using method 1, but that's mostly for developers and in some edge cases

[quachc]

It seems I still can't use xformers with a RTX 5070 Ti.

NVIDIA-SMI 570.133.07
Driver Version: 570.133.07
CUDA Version: 12.8

################################################################
Launching launch.py...
################################################################
glibc version is 2.41
Check TCMalloc: libtcmalloc_minimal.so.4
libtcmalloc_minimal.so.4 is linked with libc.so,execute LD_PRELOAD=/lib/x86_64-linux-gnu/libtcmalloc_minimal.so.4
Python 3.10.17 (main, Apr  9 2025, 08:54:14) [GCC 13.3.0]
Version: v1.10.1-85-g3064b21e
Commit hash: 3064b21e23dfb7d3d1817003fdcda93c9ec38e5a
Launching Web UI with arguments: --listen --xformers
...
Applying attention optimization: Doggettx... done.

$ pip3 list
torch                     2.7.0+cu128
xformers                  0.0.30

Using --force-enable-xformers results in:

CUDA error: no kernel image is available for execution on the device

[KingSporkk]

Any particular reason why you don't just use SDP instead? As far as I know its just as good (if not better?) than xformers.

[quachc]

I was looking at this page and it says that SDP requires more VRAM.
When using SDXL 832x1216px I run out of memory with highres fix at 1.5, I was wondering if that could be improved with xformers.

Anyway.. I'll give it a try with SDP :)

[PicceloStudios]

I was looking at this page and it says that SDP requires more VRAM. When using SDXL 832x1216px I run out of memory with highres fix at 1.5, I was wondering if that could be improved with xformers.

Anyway.. I'll give it a try with SDP :)

Have you tried using Tiled Diffusion with Tiled VAE?
have a look at that approach since it will be way, it will will allow you to generate larger images and manage the memory much better by dividing the image in squares and rendering those individually before stiching them back together, of course with xFormers activated this process will be way easier.

[KingSporkk]

Any particular reason why you don't just use SDP instead? As far as I know its just as good (if not better?) than xformers.

To answer my own question: SDP was pretty much just as fast as xformers on my 4080 on the master/release branch with the older pytorch version. but once I tried it with the dev branch and the new torch version, my speeds with SDP dropped dramatically, from 3.5 it/s to just 1.0 it/s using the same checkpoint and resolution. Using xformers instead gave me the expected speed again.

Using a clean install of 1111 through method 1, I've (thankfully) had no issues getting xformers working on my new 5090. I can generate waifus twice as fast now.

[WuSiYu]

Tested on 5090 + Ubuntu 22.04, dev branch, nv driver 570

1. with --xformers: works but xformers not enabled, slower than 4090+xformers
2. with --sdp-attention: OOM on "torch.nn.functional.scaled_dot_product_attention" (weird)
3. with --xformers and --force-enable-xformers: CUDA error (/__w/xformers/xformers/third_party/flash-attention/hopper/flash_fwd_launch_template.h:175): no kernel image is available for execution on the device

I compiled xformers with export TORCH_CUDA_ARCH_LIST=12.0 manually to get config 3 to work (still need --force-enable-xformers). Now about +30% performance increase than 4090+xformers on SDXL images (1536x2304).

[Rabcor]

Inpainting doesn't seem to be working for me on 5080.

#17041

Edit: Seems to have been unrelated to the gpu, the browser was somehow the problem.

[pocketpoetry]

I followed this method and it works for my RtX 50 series

https://youtu.be/gVQD2OqX0ZU?si=t3WhMKnh09LsaM8d

[TVARecordings]

I’d like to share my personal experience running Stable Diffusion via Automatic1111’s WebUI on an NVIDIA GeForce RTX 5090 (SM_120). I’ve encountered persistent CUDA errors stating “no kernel image is available for execution on the device.”

What I’ve tried so far:

Standard Automatic1111 WebUI setup

Cloned repo, created virtual environment, ran launch.py; dependencies installed automatically.

Everything seems downloaded, but model fails to load during weight initialization due to the CUDA capability issue.

Different PyTorch variations and tools

Used official PyTorch releases with CUDA 12.1.

Tried nightly builds supporting CUDA 12.8.

Enabled debugging flags: TORCH_USE_CUDA_DSA=1 and CUDA_LAUNCH_BLOCKING=1.

Community suggestions and workarounds

Followed various methods from forums and earlier discussion posts—branch switches, revised arguments, custom environment variables.

Why this matters

I use Stable Diffusion as part of Ameca, a personal AI assistant built on Node.js and WA-Automate-NodeJS. It’s vital for automating visual content generation. And it's not just my use case—dozens to hundreds of users have requested me to bring back image generation functionality, so it’s quite impactful.

Despite all efforts, the model still fails on SM_120. From my testing, full official support for RTX 50-series on Windows isn't functional yet, despite the instructions mentioned.

Request to maintainers

Could you please clarify:

Is there a fully supported pathway for SM_120 devices on Windows?

Are the dev methods (dev branch, reinstall flags, standalone builds) expected to resolve the issue?

Any reliable workaround I might have overlooked?

Thanks in advance for any guidance you can offer!

[TVARecordings]

Small update.

I've retried the official recommend method of installation: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs#windows-method-1

Step 1: Download the sd.webui.zip from here, this package is from v1.0.0-pre we will update it to the latest webui version in step 3. Done!

Step 2: Extract the zip file at your desired location. Done! To C:\Automatic1111

Step 3: Double click the update.bat to update web UI to the latest version, wait till finish then close the window. Done!
Logs:

Logs

Updating 48a1582..82a973c
HEAD is now at 48a1582 remove the pip install stuff because it does not work as i hoped it would
error: The following untracked working tree files would be overwritten by merge:
.eslintignore
.eslintrc.js
.git-blame-ignore-revs
.github/workflows/warns_merge_master.yml
CHANGELOG.md
CITATION.cff
_typos.toml
configs/alt-diffusion-m18-inference.yaml
configs/instruct-pix2pix.yaml
configs/sd3-inference.yaml
configs/sd_xl_inpaint.yaml
configs/v1-inpainting-inference.yaml
extensions-builtin/LDSR/vqvae_quantize.py
extensions-builtin/Lora/lora_logger.py
extensions-builtin/Lora/lora_patches.py
extensions-builtin/Lora/lyco_helpers.py
extensions-builtin/Lora/network.py
extensions-builtin/Lora/network_full.py
extensions-builtin/Lora/network_glora.py
extensions-builtin/Lora/network_hada.py
extensions-builtin/Lora/network_ia3.py
extensions-builtin/Lora/network_lokr.py
extensions-builtin/Lora/network_lora.py
extensions-builtin/Lora/network_norm.py
extensions-builtin/Lora/network_oft.py
extensions-builtin/Lora/networks.py
extensions-builtin/Lora/ui_edit_user_metadata.py
extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py
extensions-builtin/canvas-zoom-and-pan/style.css
extensions-builtin/extra-options-section/scripts/extra_options_section.py
extensions-builtin/hypertile/hypertile.py
extensions-builtin/hypertile/scripts/hypertile_script.py
extensions-builtin/mobile/javascript/mobile.js
extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_caption.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_create_flipped_copies.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
html/extra-networks-copy-path-button.html
html/extra-networks-edit-item-button.html
html/extra-networks-metadata-button.html
html/extra-networks-pane-dirs.html
html/extra-networks-pane-tree.html
html/extra-networks-pane.html
html/extra-networks-tree-button.html
javascript/edit-order.js
javascript/imageviewerGamepad.js
javascript/inputAccordion.js
javascript/localStorage.js
javascript/profilerVisualization.js
javascript/resizeHandle.js
javascript/settings.js
javascript/token-counters.js
javascript/ui_settings_hints.js
modules/Roboto-Regular.ttf
modules/cache.py
modules/cmd_args.py
modules/config_states.py
modules/dat_model.py
modules/face_restoration_utils.py
modules/fifo_lock.py
modules/gitpython_hack.py
modules/gradio_extensons.py
modules/hat_model.py
modules/infotext_utils.py
modules/infotext_versions.py
modules/initialize.py
modules/initialize_util.py
modules/launch_utils.py
modules/logging_config.py
modules/mac_specific.py
modules/models/diffusion/ddpm_edit.py
modules/models/diffusion/uni_pc/init.py
modules/models/diffusion/uni_pc/sampler.py
modules/models/diffusion/uni_pc/uni_pc.py
modules/models/sd3/mmdit.py
modules/models/sd3/other_impls.py
modules/models/sd3/sd3_cond.py
modules/models/sd3/sd3_impls.py
modules/models/sd3/sd3_model.py
modules/npu_specific.py
modules/options.py
modules/patches.py
modules/paths_internal.py
modules/processing_scripts/comments.py
modules/processing_scripts/refiner.py
modules/processing_scripts/sampler.py
modules/processing_scripts/seed.py
modules/profiling.py
modules/restart.py
modules/rng.py
modules/rng_philox.py
modules/scripts_auto_postprocessing.py
modules/sd_emphasis.py
modules/sd_hijack_ip2p.py
modules/sd_hijack_utils.py
modules/sd_models_config.py
modules/sd_models_types.py
modules/sd_models_xl.py
modules/sd_samplers_cfg_denoiser.py
modules/sd_samplers_common.py
modules/sd_samplers_compvis.py
modules/sd_samplers_extra.py
modules/sd_samplers_kdiffusion.py
modules/sd_samplers_lcm.py
modules/sd_samplers_timesteps.py
modules/sd_samplers_timesteps_impl.py
modules/sd_schedulers.py
modules/sd_unet.py
modules/sd_vae_taesd.py
modules/shared_cmd_o
Aborting
Updating 48a1582..82a973c
Press any key to continue . . .

Step 3.1: Optional (Required for 50 Series GPUs) use the switch-branch-toole.bat to switch to dev branch. Done!
Logs:

Logs

Current branch and commit:
master
v1.0.0-pre-2-g48a15821

Select branch to switch to or exit:

1. master
2. release_candidate
3. dev
4. Exit scipt (no change)

As of 2025-05-01 webui v1.10.1
Nvidai 50 series GPUs should use the dev branch.

Enter number (1-4) then press Enter: 3

error: The following untracked working tree files would be overwritten by checkout:
.eslintignore
.eslintrc.js
.git-blame-ignore-revs
.github/workflows/warns_merge_master.yml
CHANGELOG.md
CITATION.cff
_typos.toml
configs/alt-diffusion-m18-inference.yaml
configs/instruct-pix2pix.yaml
configs/sd3-inference.yaml
configs/sd_xl_inpaint.yaml
configs/sd_xl_v.yaml
configs/v1-inpainting-inference.yaml
extensions-builtin/LDSR/vqvae_quantize.py
extensions-builtin/Lora/lora_logger.py
extensions-builtin/Lora/lora_patches.py
extensions-builtin/Lora/lyco_helpers.py
extensions-builtin/Lora/network.py
extensions-builtin/Lora/network_full.py
extensions-builtin/Lora/network_glora.py
extensions-builtin/Lora/network_hada.py
extensions-builtin/Lora/network_ia3.py
extensions-builtin/Lora/network_lokr.py
extensions-builtin/Lora/network_lora.py
extensions-builtin/Lora/network_norm.py
extensions-builtin/Lora/network_oft.py
extensions-builtin/Lora/networks.py
extensions-builtin/Lora/ui_edit_user_metadata.py
extensions-builtin/canvas-zoom-and-pan/javascript/zoom.js
extensions-builtin/canvas-zoom-and-pan/scripts/hotkey_config.py
extensions-builtin/canvas-zoom-and-pan/style.css
extensions-builtin/extra-options-section/scripts/extra_options_section.py
extensions-builtin/hypertile/hypertile.py
extensions-builtin/hypertile/scripts/hypertile_script.py
extensions-builtin/mobile/javascript/mobile.js
extensions-builtin/postprocessing-for-training/scripts/postprocessing_autosized_crop.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_caption.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_create_flipped_copies.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_focal_crop.py
extensions-builtin/postprocessing-for-training/scripts/postprocessing_split_oversized.py
extensions-builtin/soft-inpainting/scripts/soft_inpainting.py
html/extra-networks-copy-path-button.html
html/extra-networks-edit-item-button.html
html/extra-networks-metadata-button.html
html/extra-networks-pane-dirs.html
html/extra-networks-pane-tree.html
html/extra-networks-pane.html
html/extra-networks-tree-button.html
javascript/edit-order.js
javascript/imageviewerGamepad.js
javascript/inputAccordion.js
javascript/localStorage.js
javascript/profilerVisualization.js
javascript/resizeHandle.js
javascript/settings.js
javascript/token-counters.js
javascript/ui_settings_hints.js
modules/Roboto-Regular.ttf
modules/cache.py
modules/cmd_args.py
modules/config_states.py
modules/dat_model.py
modules/face_restoration_utils.py
modules/fifo_lock.py
modules/gitpython_hack.py
modules/gradio_extensons.py
modules/hat_model.py
modules/infotext_utils.py
modules/infotext_versions.py
modules/initialize.py
modules/initialize_util.py
modules/launch_utils.py
modules/logging_config.py
modules/mac_specific.py
modules/models/diffusion/ddpm_edit.py
modules/models/diffusion/uni_pc/init.py
modules/models/diffusion/uni_pc/sampler.py
modules/models/diffusion/uni_pc/uni_pc.py
modules/models/sd3/mmdit.py
modules/models/sd3/other_impls.py
modules/models/sd3/sd3_cond.py
modules/models/sd3/sd3_impls.py
modules/models/sd3/sd3_model.py
modules/npu_specific.py
modules/options.py
modules/patches.py
modules/paths_internal.py
modules/processing_scripts/comments.py
modules/processing_scripts/refiner.py
modules/processing_scripts/sampler.py
modules/processing_scripts/seed.py
modules/profiling.py
modules/restart.py
modules/rng.py
modules/rng_philox.py
modules/scripts_auto_postprocessing.py
modules/sd_emphasis.py
modules/sd_hijack_ip2p.py
modules/sd_hijack_utils.py
modules/sd_models_config.py
modules/sd_models_types.py
modules/sd_models_xl.py
modules/sd_samplers_cfg_denoiser.py
modules/sd_samplers_common.py
modules/sd_samplers_compvis.py
modules/sd_samplers_extra.py
modules/sd_samplers_kdiffusion.py
modules/sd_samplers_lcm.py
modules/sd_samplers_timesteps.py
modules/sd_samplers_timesteps_impl.py
modules/sd_schedulers.py
modules/sd_unet.py
modules/sd_vae_taesd
Aborting

Press any key to continue . . .

Step 4: ouble click the run.bat to launch web UI, during the first launch it will download large amounts of files. After everything has been downloaded and installed correctly, you should see a message "Running on local URL: http://127.0.0.1:7860", opening the link will present you with the web UI interface. Done!
Logs:

Logs

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Commit hash: 48a1582
Installing torch and torchvision
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117
Collecting torch==1.13.1+cu117
Using cached https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp310-cp310-win_amd64.whl (2255.4 MB)
Collecting torchvision==0.14.1+cu117
Using cached https://download.pytorch.org/whl/cu117/torchvision-0.14.1%2Bcu117-cp310-cp310-win_amd64.whl (4.8 MB)
Requirement already satisfied: typing-extensions in c:\automatic1111\system\python\lib\site-packages (from torch==1.13.1+cu117) (4.14.1)
Requirement already satisfied: numpy in c:\automatic1111\system\python\lib\site-packages (from torchvision==0.14.1+cu117) (1.26.2)
Collecting requests (from torchvision==0.14.1+cu117)
Using cached requests-2.32.5-py3-none-any.whl.metadata (4.9 kB)
Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in c:\automatic1111\system\python\lib\site-packages (from torchvision==0.14.1+cu117) (9.5.0)
Requirement already satisfied: charset_normalizer<4,>=2 in c:\users\tom\appdata\roaming\python\python310\site-packages (from requests->torchvision==0.14.1+cu117) (3.4.2)
Collecting idna<4,>=2.5 (from requests->torchvision==0.14.1+cu117)
Using cached idna-3.10-py3-none-any.whl.metadata (10 kB)
Collecting urllib3<3,>=1.21.1 (from requests->torchvision==0.14.1+cu117)
Using cached urllib3-2.5.0-py3-none-any.whl.metadata (6.5 kB)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\tom\appdata\roaming\python\python310\site-packages (from requests->torchvision==0.14.1+cu117) (2025.7.14)
Using cached requests-2.32.5-py3-none-any.whl (64 kB)
Using cached idna-3.10-py3-none-any.whl (70 kB)
Using cached urllib3-2.5.0-py3-none-any.whl (129 kB)
Installing collected packages: urllib3, torch, idna, requests, torchvision
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.5.1+cu121 requires torch==2.5.1+cu121, but you have torch 1.13.1+cu117 which is incompatible.
tts 0.22.0 requires einops>=0.6.0, but you have einops 0.4.1 which is incompatible.
tts 0.22.0 requires numpy==1.22.0; python_version <= "3.10", but you have numpy 1.26.2 which is incompatible.
tts 0.22.0 requires torch>=2.1, but you have torch 1.13.1+cu117 which is incompatible.
tts 0.22.0 requires transformers>=4.33.0, but you have transformers 4.30.2 which is incompatible.
torchmetrics 1.7.4 requires torch>=2.0.0, but you have torch 1.13.1+cu117 which is incompatible.
Successfully installed idna-3.10 requests-2.32.5 torch-1.13.1+cu117 torchvision-0.14.1+cu117 urllib3-2.5.0

[notice] A new release of pip is available: 25.1.1 -> 25.2
[notice] To update, run: python.exe -m pip install --upgrade pip
Installing gfpgan
Fetching updates for Stable Diffusion...
Checking out commit for Stable Diffusion with hash: 47b6b60...
Cloning Taming Transformers into repositories\taming-transformers...
Fetching updates for K-diffusion...
Checking out commit for K-diffusion with hash: 5b3af030dd83e0297272d861c19477735d0317ec...
Cloning CodeFormer into repositories\CodeFormer...
Installing requirements for CodeFormer
Installing requirements for Web UI
Traceback (most recent call last):
File "C:\Automatic1111\webui\launch.py", line 324, in
prepare_environment()
File "C:\Automatic1111\webui\launch.py", line 273, in prepare_environment
run_pip(f"install -r {requirements_file}", "requirements for Web UI")
File "C:\Automatic1111\webui\launch.py", line 106, in run_pip
return run(f'"{python}" -m pip {args} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}")
File "C:\Automatic1111\webui\launch.py", line 74, in run
raise RuntimeError(message)
RuntimeError: Couldn't install requirements for Web UI.
Command: "C:\Automatic1111\system\python\python.exe" -m pip install -r requirements_versions.txt --prefer-binary
Error code: 1
stdout: Requirement already satisfied: blendmodes==2022 in c:\automatic1111\system\python\lib\site-packages (from -r requirements_versions.txt (line 1)) (2022)
Collecting transformers==4.19.2 (from -r requirements_versions.txt (line 2))
Using cached transformers-4.19.2-py3-none-any.whl.metadata (73 kB)
Collecting accelerate==0.12.0 (from -r requirements_versions.txt (line 3))
Using cached accelerate-0.12.0-py3-none-any.whl.metadata (15 kB)
Requirement already satisfied: basicsr==1.4.2 in c:\automatic1111\system\python\lib\site-packages (from -r requirements_versions.txt (line 4)) (1.4.2)
Collecting gfpgan==1.3.8 (from -r requirements_versions.txt (line 5))
Using cached gfpgan-1.3.8-py3-none-any.whl.metadata (12 kB)
Collecting gradio==3.16.2 (from -r requirements_versions.txt (line 6))
Using cached gradio-3.16.2-py3-none-any.whl.metadata (14 kB)
Collecting numpy==1.23.3 (from -r requirements_versions.txt (line 7))
Using cached numpy-1.23.3-cp310-cp310-win_amd64.whl.metadata (2.3 kB)
Collecting Pillow==9.4.0 (from -r requirements_versions.txt (line 8))
Using cached Pillow-9.4.0-cp310-cp310-win_amd64.whl.metadata (9.4 kB)
Collecting realesrgan==0.3.0 (from -r requirements_versions.txt (line 9))
Using cached realesrgan-0.3.0-py3-none-any.whl.metadata (17 kB)
Requirement already satisfied: torch in c:\automatic1111\system\python\lib\site-packages (from -r requirements_versions.txt (line 10)) (1.13.1+cu117)
Requirement already satisfied: omegaconf==2.2.3 in c:\automatic1111\system\python\lib\site-packages (from -r requirements_versions.txt (line 11)) (2.2.3)
Collecting pytorch_lightning==1.7.6 (from -r requirements_versions.txt (line 12))
Using cached pytorch_lightning-1.7.6-py3-none-any.whl.metadata (27 kB)

stderr: WARNING: Ignoring version 1.7.6 of pytorch_lightning since it has invalid metadata:
Requested pytorch_lightning==1.7.6 from https://files.pythonhosted.org/packages/f2/22/37c64bd5b426297c71ecbb01ec2d340f013556a973a2cd6cd0aa68cda1ab/pytorch_lightning-1.7.6-py3-none-any.whl (from -r requirements_versions.txt (line 12)) has invalid metadata: .* suffix can only be used with == or != operators
torch (>=1.9.*)
~~~~~~^
Please use pip<24.1 if you need to use this version.
ERROR: Ignored the following versions that require a different python version: 2.3.0 Requires-Python >=3.11; 2.3.1 Requires-Python >=3.11; 2.3.2 Requires-Python >=3.11
ERROR: Could not find a version that satisfies the requirement pytorch_lightning==1.7.6 (from versions: 0.0.2, 0.2, 0.2.2, 0.2.3, 0.2.4, 0.2.4.1, 0.2.5, 0.2.5.1, 0.2.5.2, 0.2.6, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.4.1, 0.3.5, 0.3.6, 0.3.6.1, 0.3.6.3, 0.3.6.4, 0.3.6.5, 0.3.6.6, 0.3.6.7, 0.3.6.8, 0.3.6.9, 0.4.0, 0.4.1, 0.4.2, 0.4.3, 0.4.4, 0.4.5, 0.4.6, 0.4.7, 0.4.8, 0.4.9, 0.5.0, 0.5.1, 0.5.1.2, 0.5.1.3, 0.5.2, 0.5.2.1, 0.5.3, 0.5.3.1, 0.5.3.2, 0.5.3.3, 0.6.0, 0.7.1, 0.7.3, 0.7.5, 0.7.6, 0.8.1, 0.8.3, 0.8.4, 0.8.5, 0.9.0, 0.10.0, 1.0.0, 1.0.1, 1.0.2, 1.0.3, 1.0.4, 1.0.5, 1.0.6, 1.0.7, 1.0.8, 1.1.0, 1.1.1, 1.1.2, 1.1.3, 1.1.4, 1.1.5, 1.1.6, 1.1.7, 1.1.8, 1.2.0rc0, 1.2.0rc1, 1.2.0rc2, 1.2.0, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.2.6, 1.2.7, 1.2.8, 1.2.9, 1.2.10, 1.3.0rc1, 1.3.0rc2, 1.3.0rc3, 1.3.0, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.3.6, 1.3.7, 1.3.7.post0, 1.3.8, 1.4.0rc0, 1.4.0rc1, 1.4.0rc2, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5, 1.4.6, 1.4.7, 1.4.8, 1.4.9, 1.5.0rc0, 1.5.0rc1, 1.5.0, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 1.5.6, 1.5.7, 1.5.8, 1.5.9, 1.5.10, 1.5.10.post0, 1.6.0rc0, 1.6.0rc1, 1.6.0, 1.6.1, 1.6.2, 1.6.3, 1.6.4, 1.6.5, 1.6.5.post0, 1.7.0rc0, 1.7.0rc1, 1.7.0, 1.7.1, 1.7.2, 1.7.3, 1.7.4, 1.7.5, 1.7.6, 1.7.7, 1.8.0rc0, 1.8.0rc1, 1.8.0rc2, 1.8.0, 1.8.0.post1, 1.8.1, 1.8.2, 1.8.3, 1.8.3.post0, 1.8.3.post1, 1.8.3.post2, 1.8.4, 1.8.4.post0, 1.8.5, 1.8.5.post0, 1.8.6, 1.9.0rc0, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.9.4, 1.9.5, 2.0.0rc0, 2.0.0, 2.0.1, 2.0.1.post0, 2.0.2, 2.0.3, 2.0.4, 2.0.5, 2.0.6, 2.0.7, 2.0.8, 2.0.9, 2.0.9.post0, 2.1.0rc0, 2.1.0rc1, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0rc0, 2.2.0, 2.2.0.post0, 2.2.1, 2.2.2, 2.2.3, 2.2.4, 2.2.5, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.4.0, 2.5.0rc0, 2.5.0, 2.5.0.post0, 2.5.1rc0, 2.5.1rc1, 2.5.1rc2, 2.5.1, 2.5.1.post0, 2.5.2, 2.5.3, 2.5.4)

[notice] A new release of pip is available: 25.1.1 -> 25.2
[notice] To update, run: python.exe -m pip install --upgrade pip
ERROR: No matching distribution found for pytorch_lightning==1.7.6

Press any key to continue . . .

When going to http://127.0.0.1:7860 and attempting to run a prompt:

RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
Time taken: 0.7 sec.

A: 0.01 GB, R: 0.02 GB, Sys: 1.8/31.8428 GB (5.7%)

[Liam1579]

if anyone is still having issues with web-ui i spent the past 2 weeks making the ultimate installer that handles everything including everything for text2video controlnet and all the models and weights needed to get going in a double click please feel free to contact me on twitter @Hellscape_Art for the installer 💪im a bit of a internet dweller so it comes with its own edginess but i also have a normal working installer without any of the custom flair i added to make it unique here's a little snippet of the read me 😂😂😂😂

🧟 WELCOME TO THE ULTIMATE AI INSTALLER FOR STABLE DIFFUSION ! 🖼️ 🎨 📸 🧟

Compiled by the absolute legend ⛤ @Hellscape_Art ⛤

---

🚨 WHAT THIS INSANE MOTHERFUCKER DOES: 🚀

• FULL ControlNet v1.1 – for precise AF AI images, none of that blurry crap. 🎯
• Text2Video – because one still fucking frame is weak sauce. 🎬💥
• Both – go full Goku power level 9000, break your monitor, and laugh at everyone else. 🤯😈
• This beast automatically downloads and sets up the Stable Diffusion WebUI, pulls all the required extensions, and grabs the models for ControlNet and Text2Video. It does all the boring shit for you. 🤖✨

---

🛠️ COMPATIBLE GPUS: 💪

• NVIDIA GeForce / Quadro / RTX (includes an auto-switch to the dev branch for 50-series cards). 🟩🔥
• AMD Radeon / Instinct / Integrated GPU (4–16 GB VRAM). 🟥⚡
• Intel Arc / Iris / HD/UHD Graphics. 🟦💡
• No GPU? You poor bastard, the installer will still try but you’ll just get a warning instead of a dumpster fire of errors. 🐢⚠️

---

❌ WARNING SHIT: 🛑

• You'll need a minimum of 25-30 GB of hard drive space for all the models and files. 💾 Full AF.
• Windows Defender might piss itself over this EXE. Chill. Whitelist it, sign it, whatever. 🛡️🙄
• HUGE model downloads ahead. If your internet dies mid-download, restart the fucking installer. Don’t whine. 🌐⬇️😡

---