#ComfyUI for Intel Arc using IPEX

1 messages · Page 7 of 1

reef ivy
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1316 sec's. 512x512. Probably can optimize but just seeing if ti works. q4_ks gguf

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LTXV lol

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but that was probably done in a minute or 2

earnest grotto
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install with my script or see the 4th pinned post on downloading disty's hijacks and applying them to comfyui

reef ivy
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I bet if this could run in ipex 2.3 that it would take 10 minutes for that first one. No wavespeed support yet and only teacache available with kijai's nodes which likely won't work with arc.

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Gonna try 2.7 again after this last generation and see if the memory error persists. Also adaptive guidance seems to have brought the speed from 60s/it to 54it/s so that is something.

wicked fulcrum
reef ivy
wicked fulcrum
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I tried to get wan 1.2 1.3B going but got Ernno error 22 in KSampler. I think being inside AIPG structure I hit file path limit. Need more time to troubleshoot

reef ivy
wicked fulcrum
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You do both on your A750?

reef ivy
reef ivy
wicked fulcrum
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We move off IPEX 2.3 in the next release. Want to move to PT 2.6 if we can

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If not then we go to IPEX 2.6

reef ivy
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this is on 2.6, and it is slower still but things like wavespeed can make up for it but it's not available for everything yet

wicked fulcrum
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Li has AIPG ComfyUI working on PT 2.6. I assume these vids include the workflow. I'll drop to him to test on 2.6

reef ivy
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loaded the wrong image, but with this workflow it went from 20minuts to 12 minutes, adapative guidance seems to work.

reef ivy
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well the ltxv one is highly customized with llm's and stuff, not sure if that one will run right in aipg

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that one is also old, and doesn't have wavespeed in it yet. I just posted to compare, oh and it's a complete mess lol

reef ivy
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yeah, something is defintely wrong wtih memory allocation in 2.7. Gonna try with lowvram(usually just need reserve vram)

reef ivy
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disabling the ipex hijacks gets it to run, but now it's extremely slow. I wonder if something needs to change in the hijacks for whatever they are changing in 2.7?

vital hatch
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Hi there Bob.
I am encountering the same requirements-unknown.txt missing file issue.
The system I have is:

Processor Intel(R) Core(TM) Ultra 9 285K 3.70 GHz
Installed RAM 64.0 GB (63.4 GB usable)
Video AMD Radeon 7900 XTX

I have installed vc_redistbutables.
I uninstalled python 3.12 too in the trials.
Also installed as admin and as for local user.
None seem to work.

What other info you'd need for this?

Thanks!

reef ivy
reef ivy
wicked fulcrum
earnest grotto
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I don't know how zluda is implemented in sdnext and don't know if there's any way to easily get it going in comfyui. Go to an amd discord and hope someone helps you there?

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Alternatively, look into WSL2. It's extremely easy to set up

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You should be able to use ROCm there now, that is, with latest drivers and such

civic charm
civic charm
reef ivy
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and... a new ltx video model released. video is coming in fast

reef ivy
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new model definitely understands human motion better

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messed up the prompt, had something left over from another gen about the earth rotating lol. might explain weirdness

earnest grotto
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I think I like the first one better

reef ivy
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me too, second (and the third one I just did) get wierd lol.

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might need to change the prompting since they updated the model lol

reef ivy
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Hunyuan img2vid is out now too, will probably do another comparison if i can get it to work

earnest grotto
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I've updated the script with some setup for the 3dpack. Everything past the setup is completely untested on windows. 2.6 will not work (no torch-scatter for it). 2.5 might work.

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#1193952640225267802 message

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i also have no idea why pyopencl doesn't detect the gpu on windows. oh well, multithreaded cpu is probably good enough

reef ivy
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I feel even ltx keeps the features better, but hunyuan still has better movement. Gonna try the q3 quant of Wan2.1 and see if I can still get decent results but be able to make longer videos without taking an hour for 4 frames.

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Teacache may have still been used in that output, I feel comfy is having issues unloading anything that goes to ram atm.

somber trellis
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It looks like wan 1.3b also can make single-frame images

reef ivy
reef ivy
# somber trellis

I wonder if you could make a single frame image, save the seed and then use that to generate a video. So basically doing img2video by getting the the image preview first?

somber trellis
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It's just so interesting to me however that it is a 1.3b model

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capable of decent imagery

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cool ah mask helmet

reef ivy
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How are the videos? I haven't tried the 1.3b yet since I'm more interested in img2vid

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but, if I can control the output with an image like that quickly maybe it's worth it

earnest grotto
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for images

somber trellis
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i mean the 1.3b model

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doesnt even load the gif

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lmao

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thats the 1.3b model

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imma try some weirder prompts.

somber trellis
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monster man

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more steps woulda did this some good

reef ivy
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I am finding that frame length has more impact on speed then resolution. It may be you need to use what its trained for, went to 480p amd it was only 2 minutes slower. Went to 41 frames from 33 and it went to over 30minutes.

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Also didn't seem ti use much more vram or ram.

reef ivy
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starting to get things going, almost 14min, 480p 41frames. took me 30 minutes before at 512x512 and 41 frames for some reason.

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I feel like you can do some really cool stuff with this model. Would love to see what people can do on the a770 with the img2vid

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wish lowering the res would allow me to do longer videos quicker

sly trench
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Hi @earnest grotto . I encountered this error.
My system is U7 258V. Is there any way to fix it? Thanks

earnest grotto
reef ivy
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New hunyuan model uploaded, fixed the glitch of not following the input picture

earnest grotto
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@trim onyx Are you specifically looking for spar3d

trim onyx
earnest grotto
# trim onyx Yeah, I prefer SPAR3D if possible.

the comfyui 3dpack says it has stable fast 3d
I've added some extremely untested installation of the 3dpack to my installer script. if you want to gamble on potentially wasting your time, you can try that
but it'll be a gamble

trim onyx
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Hmmm I may just try running it on the other GPU I have handy, though it'll take longer to set-up :I

reef ivy
reef ivy
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getting an error with the hunyuan clip vision model now in latest comfy update RuntimeError: Non-uniform work-groups are not supported by the target device I think it's either arc or torch 2.7 related? other clip vision models still work

reef ivy
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yup, seems to def be an issue with 2.7 nightly.

stiff kindle
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Hi. I'm trying to install this, but it's not working. When I get to the point where I run this command, python main.py --bf16-unet
It ends up giving me an error saying the frontend package is not installed. It tells me to install it using the update_comfyui.bat file, but I did that and after I still get the same error. Please help.

somber trellis
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look inside the comfyui folder

stiff kindle
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For what?

somber trellis
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pip install comfyui-frontend-package==1.11.8

stiff kindle
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Thank you.

somber trellis
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👍

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I currently can't seem to use comfyui at all right now.

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It blackscreens displayport after a few runs.

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tested it on a new install with just pytorch 2.3.1 ipex and also 2.6.0, and the current 2.7.0 nightly.

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this might be gpu driver related so i might just ddu it

reef ivy
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Comfyui has separated itself from ui and backend I think, install instructions may need to change.

somber trellis
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Is anyone else having blackscreening using split optimization

reef ivy
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Haven't tried split optimization, do regular work flows still work?

somber trellis
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it seems to work just fine, ipex to cuda auto swaps to it when you reach a certain vram limit

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or maybe thats comfy idk

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🤷‍♂️

stoic forum
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Is there a way to change the install path for ComfyUI to C:\ and not to System32?

earnest grotto
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The script installs where it is ran.

stoic forum
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I don't run it from sys32 but from usb stick... so just put it on c:?

earnest grotto
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Put it somewhere in your user folder and have it install there.

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You can move the resulting thing around, or as it says it makes a shortcut for you that you can put anywhere.

stoic forum
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From where ever I start the script, it says: A folder Comfy containing ComfyUI and Conda environement "cenv" will be created in C:\Windows\System32,

earnest grotto
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You can shift+right click the background of a folder to open a command prompt in that folder.

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You are probably opening an admin command prompt in system32 and not moving it elsewhere.

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Open one it the script's folder. You don't need admin permissions.

stoic forum
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I have the option to rightclick and open cmd with adminrights in every folder, do this since aged on my win pc via regedit

earnest grotto
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You don't need admin and you don't need to edit the registry to have the command prompt show up with shift+right click.

civic charm
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don't use admin rights, that will casue more issues on the ui side

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aka ui can't access the venv etc

stoic forum
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but why open the py script with cmd?

earnest grotto
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You run the python script with the python interpreter

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I contemplated making an executable. I coded some of it but utlimately decided distributing a black box exe is too sus

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The script can be run just with double clicking, if you set up your python in a specific way

stoic forum
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I downloaded the pyscript as suggested from the pin I replied to and run it with python

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forget it... I'm already so annoyed, trying to get it running since 2 days with all suggested version of howto's from here, and it always ends with error. It's not that I have no clue from comfy, on my desktop I have everything running (ofc Nvidia, just saying)... but this is freaking me out now. I feel stupid not even I get a script runnin... 🤯

earnest grotto
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If you want a very simple installation, you can use AIPG

stoic forum
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no its to much stuff I don't need nor want

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clean and simple comfyui, thats all I need 😉

earnest grotto
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Just run the script from a regular, not admin command prompt, inside the script's folder, somewhere inside your user folder (e.g. Documents)

stoic forum
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confused: wasn't it enough to install miniconda on default path?

earnest grotto
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Shift+right click the background of the folder the script is in (e.g. Documents). Open command prompt. python ./Setup_ComfyUI_Intel.py

stoic forum
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seems the python installation was broken/messed up... it's installing now

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thanks!

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to clarify... I tried another tut from the PIN before and had python 3.10.6 installed... after that how to doesn't worked, I uninstalled and deleted everything, but something messed up the uninstallation of python. Every try of a re-installation of python was very quick (I already wondered). After I checked the install path of python, I saw nothing was installed. I then did a repair install and that was it, after that I installed miniconda... so finger crossing that, when the script has finished, everything works

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  1. It runs now! Thanks for your script!
  2. I get some warnings and some could not load.
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Warning, you are using an old pytorch version and some ckpt/pt files might be loaded unsafely. Upgrading to 2.4 or above is recommended.
C:\ComfyUI\cenv\lib\site-packages\torchvision\io\image.py:13: UserWarning: Failed to load image Python extension: 'Could not find module 'C:\ComfyUI\cenv\Lib\site-packages\torchvision\image.pyd' (or one of its dependencies). Try using the full path with constructor syntax.'If you don't plan on using image functionality from torchvision.io, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have libjpeg or libpng installed before building torchvision from source?
warn(

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Could not load bitsandbytes native library: Could not find module 'C:\ComfyUI\cenv\lib\site-packages\bitsandbytes\libbitsandbytes_cuda121.dll' (or one of its dependencies). Try using the full path with constructor syntax.
Traceback (most recent call last):
File "C:\ComfyUI\cenv\lib\site-packages\bitsandbytes\cextension.py", line 85, in <module>
lib = get_native_library()
File "C:\ComfyUI\cenv\lib\site-packages\bitsandbytes\cextension.py", line 72, in get_native_library
dll = ct.cdll.LoadLibrary(str(binary_path))
File "C:\ComfyUI\cenv\lib\ctypes_init_.py", line 452, in LoadLibrary
return self.dlltype(name)
File "C:\ComfyUI\cenv\lib\ctypes_init
.py", line 374, in init
self._handle = _dlopen(self._name, mode)
FileNotFoundError: Could not find module 'C:\ComfyUI\cenv\lib\site-packages\bitsandbytes\libbitsandbytes_cuda121.dll' (or one of its dependencies). Try using the full path with constructor syntax.

earnest grotto
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@stoic forum Both of those can be completely ignored

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They will always show up

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Bitsandbytes currently doesn't support Intel GPUs, but work is ongoing

stoic forum
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Alright! Thank you again! 👍

earnest grotto
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Hence why the gguf custom node instead, for quantized flux

stoic forum
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I can't thank enough after all I tried. This was the easiest solution!

earnest grotto
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The image python thing was just a thing with IPEX IIRC. It doesn't matter

stoic forum
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OK

white steeple
earnest grotto
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As the person in the replies says, driver or psu, but i doubt psu

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most likely driver issue

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Could be the leaking i had seen on windows

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Restart pc and check again

reef ivy
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Is there a node to force the clipvison model to cpu?

stoic forum
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One more Q... Does it matter which python version miniconda installs? Just saw it came with 3.12.x - But I installed as suggested python 3.10.6 - could there be conflicts? How to downgrade the py from miniconda, never used it before...

earnest grotto
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You need to have some modern-ish python to run the script and that's it

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if you want to manage the conda environment yourself, press ctrl+c after launching with the shortcut, and you can pip list or do whatever else you want

stoic forum
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quote: You will need conda, miniconda or some such already installed, preferably in the default directory (C:/Users/You/miniconda3)

earnest grotto
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yes, you need some conda

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whatever python that comes with is irrelevant

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you don't install anything else

stoic forum
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alright

earnest grotto
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given that the script launched, you had conda, so

somber trellis
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well we'll see if i crash constantly afterwards

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I just did a safe mode ddu and reinstalled 6647

reef ivy
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So they fixed the hunyuan model, but now teacache/wavespeed don't work and no gguf quant, so it's just as slow as wan and takes up more ram now lol.

somber trellis
earnest grotto
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driver

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and probably not fixable by you

somber trellis
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that's why i ddu'd

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went into safe mode and did a full ddu uninstall

earnest grotto
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i am on windows again and was poking comfyui. the leaks are still not fixed

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well, "leaks"

somber trellis
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Then my only alternative is linux

earnest grotto
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not exactly a memory leak, at least not one that would show up in task manager

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but an issue i've seen for a very long time

somber trellis
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Wonder when SteamOS 3 is gonna be out of beta.

earnest grotto
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you can restart your pc and try again

earnest grotto
somber trellis
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... I know that.

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I want SteamOS for it being SteamOS.

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I was an endeavourOS and Mint user

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🤷‍♂️

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Just sad that intel arc vr support on linux

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is nonexistent

somber trellis
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with that clip

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i mean it definitely seems to adhere better

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i previously used a different custom vit-l for text enhancement

earnest grotto
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this same person did some vit-l finetunes before this

somber trellis
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that was probably the one i used before

earnest grotto
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yes it's his again

somber trellis
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ye

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that one definitely made better images

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so this newer vit-l is a nice sight

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I'm still using base flux dev tho

earnest grotto
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in the post he says he'll add some hf code, eventually that might hopefully translate into running the even better ones in comfy directly

somber trellis
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are you running --use-split-optimization vik

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my speeds have gotten much slower on 2.7 since I did a clean install of my gpu drivers

earnest grotto
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no

somber trellis
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im running python main.py --bf16-unet --disable-ipex-optimize --use-split-cross-attention --reserve-vram 4.0 --lowvram

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with the latest torch+xpu 2.7.0 nightly

earnest grotto
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and i've almost decided to not update my drivers anymore as they've been introducing too many issues since battlemage's launch

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and i'm mostly on linux, just on windows for now

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want to mod a windows game and it's less headache doing it natively than fiddling with protontricks

somber trellis
#
    import intel_extension_for_pytorch as ipex
    from ipex_to_cuda import ipex_init
    ipex_init()
    _ = torch.xpu.device_count()
    xpu_available = xpu_available or torch.xpu.is_available()
except:
    xpu_available = xpu_available or (hasattr(torch, "xpu") and torch.xpu.is_available())```
earnest grotto
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and for some reason blender on linux causes the intel drivers to start crashing after a while

somber trellis
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ye for some reason im getting 30s/it with flux

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imma just

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go back to 2.3.1

earnest grotto
# somber trellis proton ge was good to use

It's not a compatibility issue, not about a custom proton version. I want to be able to run a bunch of different things under the same wineprefix without much hassle, and there is simply hassle

somber trellis
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wine moment

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when you want wine to run all your windows app in one app

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I mean, they are doing a great job at improving its emulation

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I had to mess with wineprefixes for FL Studio when I was on mint

earnest grotto
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it runs things mostly fine. i've still seen some issues but it's mostly fine-ish

somber trellis
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I swapped back in the end tho for linux because proton wasn't giving me the performance in specific games that I was comfortable with

earnest grotto
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and those issues might be more blameable on the mesa intel drivers than proton

somber trellis
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mordhau being one of em

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also gmod eye textures are broken in linux

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specifically the layering and how the gloss texture for the eyes are used

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linux no likely, causes the eyes to shine with a pink and black hue

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lmao

somber trellis
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ipex_init: (False, AttributeError("module 'torch.xpu' has no attribute 'Tuple'"))

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Ipex-init is failing supposedly

somber trellis
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unless im wrong and im supposed to ignore that

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reinstalled your recent comfyui script, back to 3.3s/it on flux

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But that error is there

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@earnest grotto

somber trellis
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Yes.

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Your current script gives me that, with both stable 2.6 and 2.7 nightly

earnest grotto
somber trellis
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fresh

earnest grotto
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hmm

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what version of the script are you running

somber trellis
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0.1.5p

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i installed 2.6.0 and then self updated to 2.7.0 by activating the cenv

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and then fix any dependencies

earnest grotto
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i

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i'll just add a 2.7 option

somber trellis
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did i do something wrong

earnest grotto
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no

somber trellis
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hmm

earnest grotto
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wait like 10 minutes so i can reinstall

somber trellis
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ipex_to_cuda is disty0's repo right

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or are you using yours

earnest grotto
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it's disty's
I forked it for some changes and very temporarily made the script download my fork (needed for the 3dpack)
0.1.5p of the script uses disty's

somber trellis
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thats the one difference between yours and his

earnest grotto
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i PRed, disty saw it and fixed stuff, i synced my fork afterwards which removed whatever changes

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i haven't synced it since

earnest grotto
# somber trellis 0.1.5p

did you choose to install the 3dpack, the smaller set of working custom nodes, or nothing else

somber trellis
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i hit y on that, didnt install the experimentals

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let me just do a complete reinstall using your script

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ipex_init: (True, None)

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ok it was me somewhere that did the problem

reef ivy
somber trellis
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it sacrifices a small bit of performance for better ram usage

reef ivy
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Ah okay, I can't sacrifice anymore performance until they fix the performance lost since 2.1.

somber trellis
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at least i think

reef ivy
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2.7 seemed a tad bit faster than 2.6, but I got errors for in comfy with it, at least the nightly from yesterday

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If on 2.7 try 2.6, they are definitely cooking something that is messing with stuff atm

somber trellis
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yep 2.6 resolved it

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true,none is back

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latest 2.7 nightly broke something

earnest grotto
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yeah that's kinda the point of nightlies

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alphas and all that

reef ivy
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I just wish they were on github, as some nightly 2.7's ran pretty well. Also wish I could see what was updated or when it was updated

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Torch 2.7 is on there but no xpu

somber trellis
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bruh

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I forgot to disable UHD integrated after DDU

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no wonder

somber trellis
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ok it worky again

earnest grotto
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the xtreme one... hmm

somber trellis
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i have the balanced one

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which is the recommended

ripe pivot
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my decode takes like half a minute for image gen, is that normal?

ripe pivot
earnest grotto
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the metadata is retained yes

ripe pivot
reef ivy
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Probably something with the facedetailer nodes makes it take that long. Never used them in comfy

ripe pivot
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Not using it cuts it from 40 to 20 secs, makes sense since the detailer are just auto inpaint. The encode feels still quite long

reef ivy
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what is your gpu?

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you could also try setting vae decode to false and then adding a vae decode node? I haven't used that Ksampler before

reef ivy
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I don't have the same model or a lora, but I got vae decode in 0.9 secs. So it could be the lora maybe? I am on an a750 btw so it could be longer on different gpu

ripe pivot
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B580, haven't use the lora

somber trellis
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4.0 is slower

reef ivy
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Yeah, i found 6.0 is now faster too with latest drivers and pytorch.

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I am hoping we get flash attention soon(heard vik say its supposed to come in 2.7?)

somber trellis
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flash attention will speed us up a nice bit

reef ivy
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I wonder what changed from 2.1 to 2.3? 2.1 was significantly faster in flux than 2.3 and later.

somber trellis
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I do miss the performance we had.

somber trellis
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ok i just had a displayport disconnect again but on 2.3.1

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this was while running juggernautxl with first block cache from wavespeed

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using split-cross-attention --reserve-vram 16.0

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lol does alchemist not like split cross attention

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definitely doesnt seem to mind the same setup on pytorch cross attention

reef ivy
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I've never gotten a monitor disconnect when generating, only sometiems when changing resolutions or going from windowed to fullscreen in games.

somber trellis
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crashed again on 2.6.0 with pytorch cross attention

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idunno

earnest grotto
reef ivy
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So it's a common problem with intel? I don't typically do batches since swapping from a1111 years ago. it's too slow in comfyui

earnest grotto
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no need for batching

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i never do batching

reef ivy
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honestly, with flux I typically get an image I like right away. But I mostly do samples to test out video models now though.

civic charm
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also if split atten is using something other than sdpa, my hijcaks won't make any effect on it

somber trellis
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eitherway this displayport disconnect thing is happening for me with pytorch attention as well

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im kinda excited for flash attention tho

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if that truly is going to be usable for us in 2.7

civic charm
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OpenVINO has it and SDXL gives 2.3-2.4 it/s at 1024x1024

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IPEX 2.3 gives 1.6 it/s for comparison

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Non flash atten speed of OpenVINO was around 1.8-2.0 it/s

somber trellis
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So by that comparison id expect a 0.4 it/s increase

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25 percent

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cool

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Right now however, the current 2.7 nightly gives a tuple error

somber trellis
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Eh sdnext isnt for me

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lol

reef ivy
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For me, sdnext was a bit too complicated to learn. A lot of settings to adjust

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comfy seems complicated, but being able to look at workflows and reverse engineer them is better for me lol

somber trellis
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i just prefer the ui in comfy over sdnext

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🤷‍♂️

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Something must be happening to cause a workflow like this to just abruptly crash

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but even juggernautxl for me is crashing (but right now it's deciding to work so ok)

reef ivy
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Might need to make a new environment

covert cave
#

hi, im doing this for the first time and try to start comfyui but always end up with this

(GenAI) E:\ComfyUI\ComfyUI>python main.py
Traceback (most recent call last):
File "E:\ComfyUI\ComfyUI\main.py", line 134, in <module>
import comfy.utils
File "E:\ComfyUI\ComfyUI\comfy\utils.py", line 20, in <module>
import torch
File "C:\ProgramData\anaconda3\envs\GenAI\lib\site-packages\torch_init_.py", line 262, in <module>
load_dll_libraries()
File "C:\ProgramData\anaconda3\envs\GenAI\lib\site-packages\torch_init
.py", line 258, in _load_dll_libraries
raise err
OSError: [WinError 126] The specified module could not be found. Error loading "C:\ProgramData\anaconda3\envs\GenAI\lib\site-packages\torch\lib\aoti_custom_ops.dll" or one of its dependencies.

(GenAI) E:\ComfyUI\ComfyUI>

#

tried the first method without anaconda, doesn't work, jumped into anaconda and i got this. consulted chatgpt/deepseek for answers and tried various stuff but it somehow always leads me back to this

#

Running on a b580

#

reinstalling pytorch and running dependencies then running to start it up again with python main.py leads me to this

earnest grotto
#

@covert cave Use AI Playground, or install with my script ^

civic charm
#

mainly modern and old a1111 like type

#

rest are themes

#

default is the old a1111 like type

#

here is how the modernui looks like. panels are resizable and right panel is collapsable

covert cave
earnest grotto
# covert cave what a legend, thank you so much.

for battlemage, AI playground will be faster but might not be compatible with newer nodes, it uses an older version of pytorch+ipex before some performance regressions, my script can't download that for you (for battlemage). the speed difference is less than 2x.

somber trellis
#

nightly 2.7 20250310 is operational again

#

👍 thanks @civic charm

somber trellis
#

i checked

earnest grotto
#

yes, but I doubt this person knows what that is or what each version means

somber trellis
#

🤷‍♂️

#

true

earnest grotto
#

They're using a custom battlemage build. The 2.3 available (last I checked) did not have any battlemage support, and it was released before battlemage after all

somber trellis
#

The latest version that supports battlemage

#

is 2.5.1

#

so yes

civic charm
#

ipex 2.6 is out today

earnest grotto
#

Yes, my script downloads that

civic charm
#

that also should have bmg support

somber trellis
#

Are there any benefits of IPEX 2.6+xpu vs base 2.6+XPU

earnest grotto
#

I could dig and see where they download their 2.3 wheel from but i don't wanna do that. seems rude

somber trellis
#

guess ill test for you then

civic charm
earnest grotto
#

performance differences are different on linux and windows 😛

civic charm
#

got yeeted by the bot lol

somber trellis
#

oh its 2.6.1

#

ok

earnest grotto
civic charm
earnest grotto
#

It's happened to me a bunch of times
It is what it is i guess 🤷‍♂️

somber trellis
#

I'm getting 1-1.1IT/S on 1024x1024 juggernaut xl euler ancestral at 7 cfg

#

with ipex torch 2.6

#

swapping back to 2.7.0 nightly to compare

#

no contest

#

pytorch 2.7.0's recent nightly does 1.6-1.7it/s on the same settings

#

and openvino does 2-2.4

#

so

#

🤷‍♂️

#

another eh pytorch version

earnest grotto
#

I'm getting ~1.95it/s with some images I'm spamming right now to check what noobai's artist tags look like

#

With 2.3, on linux with kernel 6.12.3

earnest grotto
#

896x1152 though

somber trellis
somber trellis
#

100 cfg (7cfg mimic scale)

#

ye i have it

#

i have illustrious 1.0 as well

#

and pdxlv6

earnest grotto
#

seems pointless to me to use non-vpred anime models now that there is a vpred anime model

civic charm
#

i still use epsilon

#

v-pred models are too fried

earnest grotto
#

I'm happy with it

somber trellis
#

vprediction doesnt like overclocking cfg

#

lmao

civic charm
#

neither actually good models

#

cfg is a hack, good models shouldn't need it

somber trellis
#

including flux

#

lmao

civic charm
#

flux doesn't use cfg tho

somber trellis
#

it can be forced to use cfg

#

by using dynamicthresholding at mimic scale 1.0

#

and also there is a dedistilled flux that can use cfg

earnest grotto
#

cfg improves prompt adherence yes
but subtracting one image from another isn't a good thing to do. and it is partially what results in multiple/fused limbs and so on

reef ivy
somber trellis
#

just with added ipex support

somber trellis
reef ivy
#

i was just about to test xpu 2.6 in wsl 2*, finally figured out my errors were from bitsandbytes being installed

somber trellis
#

Unless it's from too much CFG causing burnin

#

ive gotten fused limbs more from using caching nodes than anything

reef ivy
#

One thing, there is experimental bitsandbytes for xpu, but it's only for ipex. might run on latest? have to compile from source so haven't tried

#

might run in wsl

somber trellis
#

nvm it does windows

#

just idk the viability of this

reef ivy
#

oh yeah, it supports windows too

#

last time i compiled from source on intel it took like 3 hours lol. might give it a go though

earnest grotto
somber trellis
#

ipadapters can resolve the issue due to bringing more context of the previous image in

#

and flux redux can deal with it entirely

earnest grotto
#

e.g., look at the result at the end of this video, then stare at the 2 predictions and the subtractions at steps 7, 8 and 9

#

they predict baggy clothes in different poses. subtracting that eventually finangles the model (animagine 4 zero) into thinking it's 2 hands

#

changing the negative prompt on just step 8 to have more of the stuff in the positive, makes a more similar prediction there near the hand and boom, no more double hand, baggy shirt restored

civic charm
reef ivy
#

Going Wsl2 seems way slower so far, at least in Hunyuan i2v. Might need some different command args

earnest grotto
#

wsl2 doesn't completely fix the not-quite-leaks

#

or was dan having the blackscreening issues

somber trellis
#

was me

#

on windows

reef ivy
#

Gonna try wan in a minute, maybe flux first.

#

Then 2.7 nightly

#

Doesn't seem to want to unload models from ram or vram

somber trellis
reef ivy
#

think i'd likely need 64gb of ram to make wsl usable, seemed super slow with the video models.

reef ivy
#

2.7 nightly seems about 40% faster atm than 2.6xpu in comfy. But this may be due to recent changes in comfy that made it slower

reef ivy
#

So now getting about the same speed in wsl2 as native with 2.7. trying out torch compile but not sure it helped or maybe it helped it catch up to native

reef ivy
#

You guys using linux do you constantly get errors and nodes not loading because of bitsandbytes?

earnest grotto
#

bitsandbytes does not currently support intel. you will get errors.

reef ivy
#

on windows i get warnings but i can still use nodes, on wsl 2 I have to completely uninstall it to use a lot of stuff

ripe pivot
#

how do I into i2v? does b580 adequate enough for that?

reef ivy
#

ltxv, wan2.1, and hunyuan i2v can all do it. I can do it on an a750 so should work on b580, you just need a workflow. you should be able to download the videos/images I posted and just drag them into comfy then download missing nodes etc.

ripe pivot
reef ivy
#

Post the error log, I don't know what that means

somber trellis
#

uh guys

#

the latest nightly is installing triton

#

pytorch-triton-xpu is included in the current nightly

civic charm
#

native pytorch will install triton with the correct backend on linux

#

tho windows build is a new thing

#

Welp, i guess intel is the first vendor to officially support triton on windows

#

you need to go through lots of hoops to get an unofficial triton build to run on windows with nvidia

somber trellis
#

also we got a tts that works ok on arc

#

spark-tts

civic charm
#

nightlies has switched to torch 2.8

earnest grotto
#

Tortoise tts would just turn anything british

somber trellis
#

its only using 6gb of vram

#

with the ipex-to-cuda hijack

earnest grotto
#

link the custom node, i wanna try it

somber trellis
#

It's not a node

#

its a repository

#

its own thing

#

uses python 3.12

#

There will most likely be comfy implements of it tho

#

ok this is gonna be really dumb

#

but im gonna try to do mario teaches typing

somber trellis
#

it tried

reef ivy
#

Triton on windows? So we get torch compile now? Sage attention is not compatible right?

#

Been on linux all day just trying to get pytorch installed, and then brand new stuff added to windows lol.

somber trellis
#

we'll see

#

RuntimeError: 2 active drivers ([<class 'intel.XPUDriver'>, <class 'nvidia.CudaDriver'>]). There should only be one.

reef ivy
#

Did you have to pip install sage attention? I tried it in wsl 2 and it wouldn't work for me

somber trellis
#

i did and it downloaded, but hte problem now is that i have two driver classes lmao

reef ivy
#

Are you getting the error with bitsandbytes? If so try and uninstall it

somber trellis
#

no the error is with triton

reef ivy
#

i had this issue in wsl2, ended up installing the experimental multi vendor version

#

Only with sage attention? It could also be it's trying to use the cuda fall back, there is alo a sage attention node that allows to use triton in the settings.

#

You should be able to use torch compile though if that doesn't work

somber trellis
#

ipex_to_cuda is confusing triton mainly

#

i think thats the issue

reef ivy
#

might need an update

somber trellis
#

Input tensors must be on cuda.

reef ivy
#

maybe disable and try a small res that fits in 4gb?

#

must be cuda only then

somber trellis
#

disabled ipextocuda

#

that was the error

reef ivy
#

We have to wait for flash attn (unless they added it?)

#

There are 2 sageattentions, sage attn 1 and sage attn 2 as well

#

I think there is a fork for amd on sage attn 1 anyway on rocm

#

torch compile should also add some speed though, if it works in windows

somber trellis
#

latest nightly gets 1.8it/s on SDXL now

#

without compile

#

AttributeError: 'torch._C._XpuDeviceProperties' object has no attribute 'L2_cache_size'

#

compile gives an l2 cache size error

reef ivy
#

with hijacks enabled?

somber trellis
#

ye

civic charm
#

update

#

torch changed inductor to lazy import so my triton fix was failing

somber trellis
earnest grotto
#

seems intel issue

somber trellis
#

and without sageattention the issue with compile is with a missing attribute, "AttributeError: 'torch._C._XpuDeviceProperties' object has no attribute 'L2_cache_size'"

earnest grotto
#

you can set that attribute yourself. but i imagine that wouldn't be a good idea and there would be more errors after it

reef ivy
#

i'm pretty sure this is an error on my part with intall but I can't get it to run with ipex hijacks ``` File "/mnt/A6765FA1765F70D3/Stable diffusion/ComfyUI/comfy/ipex_to_cuda/hijacks.py", line 163, in functional_linear
return original_functional_linear(input, weight, bias=bias)
RuntimeError: could not make an engine with allocator

#

could be I need the environment to run in home directory, who knows. Linux is just over my head lol.

somber trellis
#

that is what resolved that for me

#

a driver install re-enabled it

earnest grotto
#

though i haven't tested it much recently 😛

#

and yeah, disable the igpu. there is a way to get ipex to ignore it i guess

somber trellis
#

gpu drivers keep trying to re-enable it

#

either that or ddu did it

#

🤷‍♂️

#

best settings for now when running SDXL is to use first block cache from wavespeed at 0.050

#

Allows a 50-step image to be done in 20 seconds

#

100 steps can be done in 26 seconds

#

once we get torch.compile working alongside this though

#

SDXL is gonna be hella fast

#

not even to mention sageattention

earnest grotto
#

"woman with pieces of jelly on her cheek"

somber trellis
#

nope

reef ivy
earnest grotto
#

i mean, i can assume it's supposed to be blood or pimples it's just that it looks like jelly 😂

somber trellis
#

r1 made it

#

the initial prompt was just liminal entities

reef ivy
#

could just be torch 2.8 or could be the driver install

#

linux is always like this for me, takes forever just to get it running and so many things could be wrong

somber trellis
#

2.8

#

dayum

reef ivy
#

latest nightly is 2.8

somber trellis
#

huh

#

for linux or windows

reef ivy
#

both I believe

somber trellis
#

no

#

im on 2.7.0 nightly that was released today for windows

reef ivy
#

you may need to update, looking at the site they have 2.8 wheels for windows too

somber trellis
#

Where.

#

Where are you getting these wheels?
I'm using the official pytorch nightly...

reef ivy
reef ivy
#

torch-2.8.0.dev20250313+xpu-cp310-cp310-win_amd64.whl

#

nightly is updated at random, they may have uploaded right after you downloaded today lol

somber trellis
#

i had to force it

reef ivy
#

although it may be broken so be weary

somber trellis
#

it wouldnt let me --upgrade normally

#

its there yeah it's just that pip package manager decided to think that 2.7.0 is 2.8.0

#

and that it was already there

reef ivy
#

i always have to --force-reinstall

somber trellis
#

if the version is higher numerically you usually dont

#

at least ive realized that when installing torch 2.3 to 2.6

#

🤷

reef ivy
#

looks like 2.7 is in stable preview as well

somber trellis
#

How does --upgrade in pip determine a newer package

reef ivy
#

gonna swap and see if it works in linux, or if I just don't know what i'm doing

somber trellis
#

Pip follows the Python packaging standards for version numbering. It compares the currently installed package's version number with the available versions in the package indexes (like PyPI).

#

ok

#

so im right

reef ivy
#

I dunno, I just always force it.

#

gonna try 2.7 in linux, then maybe swap back to windows as I am annoyed with this lol

reef ivy
#

it's trying to download every version of torch again, I dunnow why it does this sometimes wtf

somber trellis
#

2.8's speed seems indentical to 2.7, hitting 1.7it/s on the same sdxl setup as the last

#

the reason why it didnt upgrade me to 2.8 was because torchaudio and torchvision aren't released for 2.8 nightly yet

#

but it doesnt matter atm

reef ivy
#

Having alot if trouble using the 2.7 preview, wants to give ne 2.5.1 lol. Linux!!!😡

queen remnant
#

was there an issue with speed on some specific recent torch versions using intel? i held off on updating because i had heard of it but i dont know how much worse it is

reef ivy
#

Everything after 2.1 is slower, 2.3 is the most balanced, 2.5 is the slowest, 2.6 and newer gets a little apeed back

#

If you are just doing like sdxl then no reason to update tbh, but if you want to try new models then you have too

queen remnant
#

ah alright, i also saw that triton for intel windows was being worked on, is that working yet?

#

idk how to update to test it myself

reef ivy
#

it's there but torch compile doesn't seem to work yet, but I haven't tried personally yet.

#

sage attention seems to be cuda only as well

queen remnant
#

oh ok

#

i'll wait until torch.compile is working then

civic charm
#

managed to get torch.compile working

#

1.3 it/s -> 1.6 it/s

#

Tho you are better off using OpenVINO imo

#

It will be faster and will take much less time to compile than torch.compile

#

also torch.compile has the same limitations as OpenVINO too

#

this is a torch.compile thing, not an intel one

queen remnant
#

ah, there arent any nodes for OpenVINO use in comfyui though right?

#

i could use SD.Next but i like my workflows ;-;

reef ivy
#

so 2.7 is in stable preview but they didn't add torch vision that's compatible lol. So get a dependency conflict and it installs 2.5.1

reef ivy
somber trellis
#

how are you getting 1.3it/s on sdxl and im getting 1.7it/s

#

without compile btw

#

sdxl dpmpp 2m sde karras

reef ivy
#

probably sampler and cfg

#

i am getting about 1.33s/it on a750 now with sdx without torch compile

#

!!! Exception during processing !!! RuntimeError: Failed to find C compiler. Please specify via CC environment variable. what are you using to do torch compile in comfy? this is the default node with sdx

somber trellis
#

How do I get it operational?

reef ivy
#

I believe he is only on linux (unless things have changed)

#

updating visual studio to see if it helps

reef ivy
#

hmm, i don't know what i need for torch.compile to work on windows... get this error when using visual studio c++ compiler as path returned non-zero exit status 2.

#

maybe it needs dpc+++ ?

reef ivy
#

looks like it may need the basekit and level zero?

earnest grotto
#

Pretty sure one of the required compute packages (if the wsl ubuntu doesn't have it) is level zero

#

Or, maybe it has an older version idk

somber trellis
#

ipex-init is initialized at the beginning of comfy

reef ivy
somber trellis
#

C:\Users\dbs_5>ipex-init :: initializing oneAPI environment... Initializing Visual Studio command-line environment... Visual Studio version 17.10.5 environment configured. "C:\Program Files\Microsoft Visual Studio\2022\Community\" Visual Studio command-line environment initialized for: 'x64' : advisor -- latest : compiler -- latest : dal -- latest : debugger -- latest : dev-utilities -- latest : dnnl -- latest : dpcpp-ct -- latest : dpl -- latest : ipp -- latest : ippcp -- latest : mkl -- latest : ocloc -- latest : pti -- latest : tbb -- latest : umf -- latest : vtune -- latest :: oneAPI environment initialized ::

earnest grotto
reef ivy
#

It's not a oneapi compiler, it's this C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Tools\MSVC\14.43.34808\bin\Hostx64\x64\cl.exe

#

I may be wrong, but about to see in a minute, still installing

somber trellis
#

imma do funny

#

if i had a better sample lmao

#

spark-tts gets much better outputs if you align the audio input with the prompt text input matching the audio

#

that way the AI knows what words match to what more easily

earnest grotto
#

rip

#

just dm me

somber trellis
#

20 seconds of low quality ninjago intro

#

momjago

rustic sonnet
#

So Compile on Windows supported on 2.8 nightly?

somber trellis
#

🤷‍♂️

#

Disty is an intel user

#

on linux

rustic sonnet
#

Hmmm

reef ivy
#

maybe, but 2.8 won't install as torchvision has 2.7 as a dependency

reef ivy
earnest grotto
# somber trellis

For spark tts specifically, it's close, way better than tortoise's zero-shot stuff, but I wouldn't say it's too big of an advancement in practice. Functionally it still lacks the features I'd want from good tts/still has the old issues... And those would probably need better datasets to resolve.
Voice sounds slightly crackly. No emotion control. No control over non-speech vocalizations, like grunts, screaming, sobbing, etc., and no alternative voice from the same speaker (whispering, fake impersonation voice, shouting, etc.)
With stuff like RVC I guess you can at least do the emotion yourself so that's one thing I prefer with it

somber trellis
#

The artifical breathing and high-end

reef ivy
#

also seems to have some slight sound effects

somber trellis
#

i used uvr to seperate the music and voice

#

i did the voice then readded it to the base music

reef ivy
#

ah okay, I need to start learning voice stuff.

reef ivy
#

So just did a wan2.1 video that was taking about 16-20 minutes in about 10 minutes, not sure if it's just windows memory issue not happening or the new torch nightly. probably just the memory issue didn't kick in on that one, back to over 16minutes second run.

civic charm
rustic sonnet
#

This fork seems to have flash attention for Xe

earnest grotto
#

Li already confirmed flash attention is coming for 2.7

#

So, should be soonish

reef ivy
# ripe pivot

hmm, does anything work? It looks like you hav 2.5.1 cuda and not xpu or ipex?

ripe pivot
reef ivy
#

What speed do you get? it may be running on cpu?

#

**PyTorch Version:** 2.5.1+cxx11.abi i believe this is cuda

#

sometimes nodes can overwrite your torch version if it's older than the latest, latest is 2.6

ripe pivot
#

how do I install the xpu/ipex then? I always thought the pip that I got since it was xpu, the link kind of similar

civic charm
#

it is listed as this

reef ivy
#

Should be able to install it the same way you did before, it probably got overwritten when installing a node.

#

I believe 2.6 is still latest, so it shouldn't override anything atm.

reef ivy
civic charm
#

yes

reef ivy
#

hmm, everytime I've had it install itself it wouldn't work

#

if that's the case then maybe he doesn't have your hijacks and it's calling for ipex?

ripe pivot
civic charm
#

Changed TAESD previews to approx previews:

reef ivy
ripe pivot
reef ivy
#
    from ipex_to_cuda import ipex_init
    ipex_init()
    torch.backends.cuda.allow_fp16_bf16_reduction_math_sdp(True)
    _ = torch.xpu.device_count()
    xpu_available = xpu_available or torch.xpu.is_available()
except:
    xpu_available = xpu_available or (hasattr(torch, "xpu") and torch.xpu.is_available())
#

Using Vik's script is probably the easiest way to install

#

it does all this for you i belive

ripe pivot
#

do I need different comfy install or what? I think I'm on phyton 3.11

reef ivy
#

no, just git clone the repository to the comfy folder and then add that line to the file it mentions

#

you don't need to change anything with your install

#

just skip to step 4 and use the edit I posted instead of the one with ipex, or take out the import intel extension for pytorch line

#

not sure if the sdp line is still needed but I still have it just in case(it was for speed).

ripe pivot
#

damn I got the error and forgot to back-up the script

reef ivy
ripe pivot
reef ivy
#

Did you install with the script? I believe it doesn't delete what is already installed. You can also backup your nodes/models and outputs and just drag them back in as well.

#

Vik will be more help with that

ripe pivot
reef ivy
#

you can use 2.6, he probably just needs to update his script to add it.

ripe pivot
#

how do I change my drive? I don't think my C: has enough space

reef ivy
#

That I am not sure, probably need to run the script on that drive

#

You can also move your models to that drive and add them to your model_paths file in comfy folder

#

extra_model_paths.yaml file in main comfy folder, there is an example as well that shows how to add them.

reef ivy
ripe pivot
#

the progress stuck without any download info or new lines, is it safe to restart the script?

reef ivy
#

show a screen shot

ripe pivot
reef ivy
#

it's downloading torch 2.7, if it still hasn't moved maybe you need to restart it. Or if your internet is extremely slow it could be it.

ripe pivot
#

there's no tell, like isn't it usually there's a download bar below it. I don't know the estimation without any information

reef ivy
#

try and restart it

civic charm
#

you can also click on the link and install with the file

#

you can do pip install path_to_the_file

ripe pivot
ripe pivot
civic charm
#

path_to_file is the .whl file

#

you are trying to install a folder

#

you can just copy the file and paste it into the terminal

#

it will paste the path

ripe pivot
civic charm
#

is the python version 3.10 on that venv too?

#

that file is for python 3.10

ripe pivot
#

idk actually, the script should using the 3.10 right? Why won't it uses 3.10 files if it's on 3.11

civic charm
#

python --version will tell the python version

#

compiled .whl packages are specific to the python version

#

cpxxx tells the python version of the package

#

cp310 is python 3.10

ripe pivot
#

it's 3.11...so it stucks because of different python version

#

uh, how do I change within the script though

reef ivy
#

The script should detect your python version I think? But honestly IMO 3.10 is the most widely used with webui's still, so I stick with that.

#

Also, if python is in conda it should be able to install python 3.10 in the environment anyway, just remake your enviornment with 3.10 would be the easiest solution for you i think. *edit Actually the script should do that for you when it creates the environment.

#

Did the file not download when your ran the script again?

#

Could be issues with the preview servers? It is getting updated to 2.7 atm.

ripe pivot
#

it's stuck on this part now

reef ivy
#

hmm, I didn't even know it had openvino in comfy. It doesn't seem to be stuck downloading anything, not sure what's going on. Probably need to ask Vik. Does make me curious to try openvino though

#

same seed about 10 minutes without enhance a video lol. Think teacache was a little higher though

#

I think I may be getting close to the expected speed with this level gpu compared to nvidia counterpart.

#

prompt A beautiful blond warrior in a blue dress raises her magical sword high into the air and screams out a battle cry. Lightning crashes behind the mountains in the background.

#

probably will add an llm to make better prompts lol

#

gonna try a longer video and see what happens

reef ivy
#

nightly updated to 2.8 in windows, seems about 15-20% slower, Torch.compile still not working yet also

earnest grotto
#

Outside of the 5 missing dependencies, this was a very easy install. I'm happy

earnest grotto
#

soxr soundfile einx librosa transformers>=4.45 if anyone wants them

reef ivy
#

this is called spark tts?

earnest grotto
#

Zero shot, i.e. no training needed to clone a voice
Clones well and does TTS, speed looks good and I think it should work with fairly low vram usage. But that's about it. No 3 minute long neco arc singing invisible by duran duran with this

#

Honestly I'm not big on music with singing but I love the neco arc stuff, and similar

#

oh, and, since i got confused
bottom text of the clone node is your transcription of the cloned speech, top is the new text. you don't need to transcribe it but the results are way better if you do.

somber trellis
#

ye the webui is the same

#

transcription matching audio

#

i like that they used a noise reduction module tho

#

I like the comfynode far more.

#

Thank you for providing a link vik

earnest grotto
#

Where's dagoth ur, neco arc and miku

#

And maybe ranni

somber trellis
#

really wanted to try to get the imperial watchguard working

#

I can't seem to nail him with spark

#

I need to make a decent sized audiofile of him

earnest grotto
#

Hmm, it works with very long reference audio?

somber trellis
#

I've done up to four minutes of audio without transcription

#

but i think you can do more

#

but as you can see

#

transcribed audio does indeed help like you said

#

that middle part

#

is spot on imperial

ripe pivot
earnest grotto
#

If the setup ended at that point, delete and reinstall without the 3dpack.

ripe pivot
#

I closed 3dpack midway because it's stuck on openvino for so long and restarted without the 3dpack, does delete and reinstall works?

earnest grotto
#

Yes, 2.7 is very much incompatible, there are no CPU torch_scatter builds for that

earnest grotto
somber trellis
earnest grotto
#

Nice

somber trellis
#

second one is spot-on

#

The fact it's 0.5b

#

Astoundingly good

earnest grotto
#

angled chairs 🤢

somber trellis
earnest grotto
#

🤔 seems very sensitive to audio quality

reef ivy
#

Do you guys know if any of these programs can CREATE voices? Say combine multiple voices and createa unique one? I am really against using anyones voice or likeness tbh, outside of just learning the process of course.

#

I've seen a new paid model that could do it, so it must be possible, just not sure if open source can

reef ivy
#

Can't get the comfy node to work, and don't really understand how to add voices anyway. FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`. WeightNorm.apply(module, name, dim) Missing tensor: mel_transformer.spectrogram.window Missing tensor: mel_transformer.mel_scale.fb

ripe pivot
#

Requested to load WanVAE loaded completely 8344.23828125 242.02829551696777 True !!! Exception during processing !!! The paging file is too small for this operation to complete. (os error 1455) Traceback (most recent call last): File "E:\Comfy_Intel\ComfyUI\execution.py", line 327, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) File "E:\Comfy_Intel\ComfyUI\execution.py", line 202, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) File "E:\Comfy_Intel\ComfyUI\execution.py", line 174, in _map_node_over_list process_inputs(input_dict, i) File "E:\Comfy_Intel\ComfyUI\execution.py", line 163, in process_inputs results.append(getattr(obj, func)(**inputs)) File "E:\Comfy_Intel\ComfyUI\nodes.py", line 910, in load_unet model = comfy.sd.load_diffusion_model(unet_path, model_options=model_options) File "E:\Comfy_Intel\ComfyUI\comfy\sd.py", line 1027, in load_diffusion_model sd = comfy.utils.load_torch_file(unet_path) File "E:\Comfy_Intel\ComfyUI\comfy\utils.py", line 68, in load_torch_file raise e File "E:\Comfy_Intel\ComfyUI\comfy\utils.py", line 55, in load_torch_file with safetensors.safe_open(ckpt, framework="pt", device=device.type) as f: OSError: The paging file is too small for this operation to complete. (os error 1455)

#

does this mean that my vram isn't capable?

reef ivy
#

Paging file is system ram, it's when you run out of system ram and use your ssd/hdd for ram

#

if you set it manually let windows handle it instead, or you could be low on disk space. How much ram do you have, i recommend 32gb minimum for ai stuff

#

also, try tiled vae

ripe pivot
#

my ram is 32gb

reef ivy
#

Try tiled vae, a smaller model, lower frames, and check and make sure you page file is enabled and handled by windows and you have enough disk space on whatever drive it's using(you can change the drive but make sure it's a ssd)

reef ivy
somber trellis
#

If the audio has noise, I use UVR and mdxnet instvoc to seperate vocal from instrumental sounds

ripe pivot
#

is this normal?

reef ivy
# ripe pivot is this normal?

For wan you will need teacache and adaptive guider to make it decently fast. You can take the workflow from this image, change the size and step count if you want. It's messy but it will work, you can also look online for some that are better, this is one I adapted from one I found.

#

Hopefully we get torch.compile and flash_attn soon as well.

ripe pivot
#

copy paste gets me that

reef ivy
#

download the image then just drag it into your comfyui window

#

if missing nodes, just go to manager install missing nodes

#

you can do this with most images/videos made in comfy as the meta data is saved with the files by default

ripe pivot
#

where do I grab the gguf? don't think the examples mention that

somber trellis
#

trying to figure out why im being errored out

#

spark-tts moment

ripe pivot
#

being unable to install nodes because of random reason is annoying

somber trellis
#

Lisha

#

click on the name of that node

#

grab the github link

#

go to custom_nodes in comfyui

#

and git clone it

#

Also, run comfyui as admin.

#

Lotta dumb things happen for me if I don't. Permission problems mainly.

reef ivy
somber trellis
reef ivy
#

there are 2 comfyui nodes for spark, only got one to sorta work

somber trellis
#

the one i have does work

#

it's just that certain situations I get a kernel size error

#

and some times i just get a device lost error

ripe pivot
somber trellis
#

once you do that and launch comfy it might be import_failed

#

go into comfy manager and try fix it under the import failed tab in custom nodes

reef ivy
#

go to custom nodes folder, then type "cmd" directly in the folder address to bring up command prompt, then just git clone whatever custom nodes repo

somber trellis
#

i found the issue

#

it doesnt like mp3

reef ivy
#

what do you use to get videos off youtube? The program I used isn't working, and I need node.js to fix it and build the source but it's a pain lol

somber trellis
#

jdownloader to get the m4a off of youtube

#

then i convert it to wav/ogg

reef ivy
#

thanks, i will check that out

somber trellis
#

also i swapped back to 2.7

#

the preview build

#

because i was crashing on 2.8 nightly

reef ivy
#

It was slower for me yesterday so I swapped back, i will try again today and see if anything is changed

ripe pivot
#

nope, doesn't change anything

somber trellis
ripe pivot
#

Traceback (most recent call last): File "E:\Comfy_Intel\ComfyUI\nodes.py", line 2140, in load_custom_node module_spec.loader.exec_module(module) File "<frozen importlib._bootstrap_external>", line 883, in exec_module File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed File "E:\Comfy_Intel\ComfyUI\custom_nodes\sigmas_tools_and_the_golden_scheduler\__init__.py", line 1, in <module> from .sigmas_merge import NODE_CLASS_MAPPINGS File "E:\Comfy_Intel\ComfyUI\custom_nodes\sigmas_tools_and_the_golden_scheduler\sigmas_merge.py", line 29, in <module> class GraphScale(enum.StrEnum): AttributeError: module 'enum' has no attribute 'StrEnum'

#

uh I hate the mismatch phython

#

seems like the nodes are asking for 3.11 and I'm on 3.10 probably

reef ivy
somber trellis
#

Yep judging by what gemini responded with the issue is a python version mismatch

ripe pivot
#

got this weird alert too

reef ivy
#

yeah, i get that all the time but it doesn't hurt anything

somber trellis
#

The "invalid workflow against Zod schema" error in ComfyUI means that your workflow file (likely a .json file) doesn't conform to the expected structure defined by a Zod schema. Let's break this down:

ripe pivot
reef ivy
#

comfyui prob updated the format recently

#

I have 1.0.0

#

if that's the case, git checkout an older commit

reef ivy
#

kinda strange to require 3.11 when 3.10 is still the most widely used.

#

there is a fork, tbh, I may have done that a long time ago i dunno.

reef ivy
#

just disable it

#

it's to make a graph of the sigma for whatever reason, this is from the workflow I downloaded but don't think it's needed to make a video

ripe pivot
somber trellis
#

wan is supported natively, lisha

#

comfy core has the nodes

reef ivy
#

it doesn't show in missing nodes?

ripe pivot
reef ivy
#

i am using i2v 480p....q4_k-s you may be able to use a larger model with 12gb vram.

#

Make sure it's i2v for this workflow, as text 2 vid won't work.

#

probably keep him bookmarked or something, he typically has quants for all the models that come out

somber trellis
#

comfy-org, kijai and city96 are the three main ones

somber trellis
reef ivy
#

converted mp4 to a wav and still get unrecognized format error.

#

guess I can try the stand alone version later

earnest grotto
#

Or maybe davinci resolve or some Adobe™️ product

somber trellis
#

ye ffmpeg ftw

#

also audacity (both are good)

#

also handbrake (also good)

#

but blender for audio conversion is an interesting one

earnest grotto
#

In a worst case scenario, if you're already familiar with it, it has ui to make it doable. It uses ffmpeg behind the scenes for a lot of things anyways

somber trellis
#

Right now it seems I'm getting a ton of device lost errors using spark.

#

🤷‍♂️

#

I don't think it's offloading at all.

reef ivy
#

y2mp3 isn't working anymore, that would convert it straight to mp3 or wav. Need to update it's depencies but getting node.js working was more of a pain that I wanted to try.

#

Thinking, maybe they have a node in comfy that can convert with ffmpeg.

somber trellis
#

Even the current 2.7.0+xpu preview branch causes me to crash during vae decode to upscale and then second pass

#

it always seems to be during vae encode/decode or upcsale using model node

#

It might be due to the very specific upscale model im using

#

one that doesnt work in 2.3

#

nomosuni otf compact

#

I confirmed my suspicions, using the upscale (using model) node breaks comfy

reef ivy
#

maybe the download got corrupted

somber trellis
#

Nope i tested it with a diff upscale model and rechecked my comfy install

#

crashed

reef ivy
#

is it the native node?

somber trellis
#

ye

#

upscale image (using model)

#

for now ill just force the node on cpu

#

line 51 in nodes_upscale_model.py in comfy_extras

reef ivy
#

testing, never used this one doesn't seem like you can tell it what size to upscale by

somber trellis
#

you cant

#

thats why i used a version called "upscale image by (using model)

reef ivy
#

The native one worked for me (didn't upscale anything but no crash)

#

looks like that node hasn't been updated in almost a year

somber trellis
#

i intend on not using it anymore

#

lmao

#

what node do you use for upscale models?

reef ivy
#

I usually use sd ultimate

somber trellis
#

hmm, i could just force a single tile run

reef ivy
#

you can use the one from impact pack as well, and load in a model

#

Upscaler(SEGS) is the name in comfy

#

nvm, that one also uses latent. I forget but I had one that worked with just upscale

#

okay, it's Upsclaer(SEGS/Pipe) i think edit (nope). I have to go through some old workflows lol

somber trellis
#

no longer crashing as i used gemini pro to rewrite the nodes_upscale_model for cpu

reef ivy
somber trellis
signal patio
#

install.bat

#

plz help

earnest grotto
#

Activate your environment and do python ./install.py, in that custom node's folder.

civic charm
#

python 3.13 is not supported by that node

civic charm
signal patio
# civic charm

how to check which version of python is my comfyui using? to make sure

civic charm
#

Activate its venv

#

and run python --version

signal patio
earnest grotto
#

are you using my script

signal patio
earnest grotto
#

launch from the shortcut. then press ctrl+c.

earnest grotto
#

then go into that custom node's folder and run the python install file.

#

ctrl+c kills comfyui, it doesn't copy, if that's why you're sending me the screenshot

#

cd ./custom_nodes/ComfyUI-ReActor

#

python ./install.py

#

there's also a ton of other face detect nodes that don't need extra arbitrary setup and MSVC and whatever else

signal patio
#

u just figured out that if i stopped the script i can keep enter commands in this env

earnest grotto
earnest grotto
# signal patio

Read the node's install instructions. It needs a specific version of visual studio installed.

#

Visual studio is not small and takes some time to install.

signal patio
#

but something is wrong when i trying to use pulid

earnest grotto
signal patio
earnest grotto
#

Do that.

#

You should probably not be using a 2-3 year old custom node, I'm sure there's newer face detectors, since there's a ton of nodes for that

signal patio
#

new error

earnest grotto
#

You've chosen the wrong model in some node.