#ComfyUI for Intel Arc using IPEX
1 messages · Page 7 of 1
install with my script or see the 4th pinned post on downloading disty's hijacks and applying them to comfyui
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.
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.
really intersting comparison
oh actually, after hitting 7 steps the speed shot up to 25s/it, this may be the issue with memory in windows
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
lol yeah, ltxv is actually pretty good with closeups though, but actions like running and walking look funny (at least in the first model, didn't try this image with 0.9.1
You do both on your A750?
might need 2.5 and above, i think aipg is on 2.3 still
yeah, I only have an a750.
We move off IPEX 2.3 in the next release. Want to move to PT 2.6 if we can
If not then we go to IPEX 2.6
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
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
loaded the wrong image, but with this workflow it went from 20minuts to 12 minutes, adapative guidance seems to work.
they are workflows from reddit, i just changed the load nodes to gguf etc.
well the ltxv one is highly customized with llm's and stuff, not sure if that one will run right in aipg
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
yeah, something is defintely wrong wtih memory allocation in 2.7. Gonna try with lowvram(usually just need reserve vram)
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?
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!
If you are installing with the old method you need to download the requirements file from the post and place it in the comfy folder. Your best options though are Vik's script or ai playground, check the pinned comments for the script these are easier to install and more up to date.
If I up the length or resolution even a little it shoots to over 30minutes from 10. Tripled slowdown for some reason. 512x512 33 frames is the most it can do without going super slow. The slowdown doesn't seem relative to the vram increases.
The issue from that discussion is specific to A730M. It was fixed with firmware driver update.
Your issue is you do not have an Intel Arc iGPU or dGPU on your PC. You do not meet min specifications
Given your 7900 XTX, I suggest using SDNext with ZLUDA instead https://vladmandic.github.io/sdnext-docs/Installation/
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?
Alternatively, look into WSL2. It's extremely easy to set up
You should be able to use ROCm there now, that is, with latest drivers and such
SDNext Discord has dedicated zluda thread in help channel: https://discord.com/channels/1101998836328697867/1207548125841989702
Zluda wiki: https://vladmandic.github.io/sdnext-docs/ZLUDA/
invite link for the discord server is in the readme of sdnext
and... a new ltx video model released. video is coming in fast
new model definitely understands human motion better
messed up the prompt, had something left over from another gen about the earth rotating lol. might explain weirdness
I think I like the first one better
me too, second (and the third one I just did) get wierd lol.
might need to change the prompting since they updated the model lol
Hunyuan img2vid is out now too, will probably do another comparison if i can get it to work
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.
#1193952640225267802 message
i also have no idea why pyopencl doesn't detect the gpu on windows. oh well, multithreaded cpu is probably good enough
hunyuan i2v.
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.
Teacache may have still been used in that output, I feel comfy is having issues unloading anything that goes to ram atm.
https://github.com/bitsandbytes-foundation/bitsandbytes/issues/1545 was looking up bitsnbytes xpu support.
Purpose We intend to integrate PyTorch Custom Operators as the primary mechanism for dispatching to device-specific operator implementations. An initial scaffolding of this is presented in PR #1544...
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?
It's just so interesting to me however that it is a 1.3b model
capable of decent imagery
cool ah mask helmet
How are the videos? I haven't tried the 1.3b yet since I'm more interested in img2vid
but, if I can control the output with an image like that quickly maybe it's worth it
pixart sigma is 600m and I think beats it
for images
i mean the 1.3b model
doesnt even load the gif
lmao
thats the 1.3b model
imma try some weirder prompts.
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.
Also didn't seem ti use much more vram or ram.
starting to get things going, almost 14min, 480p 41frames. took me 30 minutes before at 512x512 and 41 frames for some reason.
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
wish lowering the res would allow me to do longer videos quicker
Hi @earnest grotto . I encountered this error.
My system is U7 258V. Is there any way to fix it? Thanks
Scroll up and show a screenshot
New hunyuan model uploaded, fixed the glitch of not following the input picture
@trim onyx Are you specifically looking for spar3d
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
Hmmm I may just try running it on the other GPU I have handy, though it'll take longer to set-up :I
anybody tried this? https://github.com/intel/intel-xpu-backend-for-triton/blob/main/.github/WINDOWS.md
Hey, still here?
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
yup, seems to def be an issue with 2.7 nightly.
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.
its a module in requirements.txt
look inside the comfyui folder
For what?
pip install comfyui-frontend-package==1.11.8
Thank you.
👍
I currently can't seem to use comfyui at all right now.
It blackscreens displayport after a few runs.
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.
this might be gpu driver related so i might just ddu it
Comfyui has separated itself from ui and backend I think, install instructions may need to change.
Is anyone else having blackscreening using split optimization
Haven't tried split optimization, do regular work flows still work?
it seems to work just fine, ipex to cuda auto swaps to it when you reach a certain vram limit
or maybe thats comfy idk
🤷♂️
Is there a way to change the install path for ComfyUI to C:\ and not to System32?
Don't run the script in system32
The script installs where it is ran.
I don't run it from sys32 but from usb stick... so just put it on c:?
Put it somewhere in your user folder and have it install there.
You can move the resulting thing around, or as it says it makes a shortcut for you that you can put anywhere.
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,
You can shift+right click the background of a folder to open a command prompt in that folder.
You are probably opening an admin command prompt in system32 and not moving it elsewhere.
Open one it the script's folder. You don't need admin permissions.
I have the option to rightclick and open cmd with adminrights in every folder, do this since aged on my win pc via regedit
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.
don't use admin rights, that will casue more issues on the ui side
aka ui can't access the venv etc
but why open the py script with cmd?
You run the python script with the python interpreter
I contemplated making an executable. I coded some of it but utlimately decided distributing a black box exe is too sus
The script can be run just with double clicking, if you set up your python in a specific way
I downloaded the pyscript as suggested from the pin I replied to and run it with python
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... 🤯
If you want a very simple installation, you can use AIPG
no its to much stuff I don't need nor want
clean and simple comfyui, thats all I need 😉
Just run the script from a regular, not admin command prompt, inside the script's folder, somewhere inside your user folder (e.g. Documents)
confused: wasn't it enough to install miniconda on default path?
Shift+right click the background of the folder the script is in (e.g. Documents). Open command prompt. python ./Setup_ComfyUI_Intel.py
seems the python installation was broken/messed up... it's installing now
thanks!
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
- It runs now! Thanks for your script!
- I get some warnings and some could not load.
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(
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.
@stoic forum Both of those can be completely ignored
They will always show up
Bitsandbytes currently doesn't support Intel GPUs, but work is ongoing
Alright! Thank you again! 👍
Hence why the gguf custom node instead, for quantized flux
I can't thank enough after all I tried. This was the easiest solution!
The image python thing was just a thing with IPEX IIRC. It doesn't matter
OK
installing libjpeg-turbo and libpng before installing torch fixed on my side but nothing changed actually yeah can be ignored.
Ok
Found this https://www.reddit.com/r/comfyui/comments/1j72tn2/monitor_randomly_crashes_to_blackno_input_while/ no answer but similar issue
As the person in the replies says, driver or psu, but i doubt psu
most likely driver issue
Could be the leaking i had seen on windows
Restart pc and check again
Is there a node to force the clipvison model to cpu?
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...
You don't install anything, the installer handles everything for you
You need to have some modern-ish python to run the script and that's it
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
quote: You will need conda, miniconda or some such already installed, preferably in the default directory (C:/Users/You/miniconda3)
yes, you need some conda
whatever python that comes with is irrelevant
you don't install anything else
alright
given that the script launched, you had conda, so
well we'll see if i crash constantly afterwards
I just did a safe mode ddu and reinstalled 6647
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.
testing it now
100% doubt on psu, mordhau brings my gpu to a very high power target at near 90 celsius
i am on windows again and was poking comfyui. the leaks are still not fixed
well, "leaks"
Then my only alternative is linux
not exactly a memory leak, at least not one that would show up in task manager
but an issue i've seen for a very long time
Wonder when SteamOS 3 is gonna be out of beta.
you can restart your pc and try again
you don't need some special steamos or whatever else, you can just use ubuntu
... I know that.
I want SteamOS for it being SteamOS.
I was an endeavourOS and Mint user
🤷♂️
Just sad that intel arc vr support on linux
is nonexistent
linux mint is probably what id do
with that clip
i mean it definitely seems to adhere better
i previously used a different custom vit-l for text enhancement
this same person did some vit-l finetunes before this
yes it's his again
ye
that one definitely made better images
so this newer vit-l is a nice sight
I'm still using base flux dev tho
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
are you running --use-split-optimization vik
my speeds have gotten much slower on 2.7 since I did a clean install of my gpu drivers
no
im running python main.py --bf16-unet --disable-ipex-optimize --use-split-cross-attention --reserve-vram 4.0 --lowvram
with the latest torch+xpu 2.7.0 nightly
and i've almost decided to not update my drivers anymore as they've been introducing too many issues since battlemage's launch
and i'm mostly on linux, just on windows for now
want to mod a windows game and it's less headache doing it natively than fiddling with protontricks
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())```
proton ge was good to use
and for some reason blender on linux causes the intel drivers to start crashing after a while
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
unhassleable
wine moment
when you want wine to run all your windows app in one app
I mean, they are doing a great job at improving its emulation
I had to mess with wineprefixes for FL Studio when I was on mint
it runs things mostly fine. i've still seen some issues but it's mostly fine-ish
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
and those issues might be more blameable on the mesa intel drivers than proton
mordhau being one of em
also gmod eye textures are broken in linux
specifically the layering and how the gloss texture for the eyes are used
linux no likely, causes the eyes to shine with a pink and black hue
lmao
ipex_init: (False, AttributeError("module 'torch.xpu' has no attribute 'Tuple'"))
Ipex-init is failing supposedly
unless im wrong and im supposed to ignore that
reinstalled your recent comfyui script, back to 3.3s/it on flux
But that error is there
@earnest grotto
this error?
fresh or over an existing installation
fresh
0.1.5p
i installed 2.6.0 and then self updated to 2.7.0 by activating the cenv
pip3 install --pre --upgrade torch torchvision torchaudio --index-url https://download.pytorch.org/whl/nightly/xpu
and then fix any dependencies
did i do something wrong
no
hmm
wait like 10 minutes so i can reinstall
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
thats the one difference between yours and his
i PRed, disty saw it and fixed stuff, i synced my fork afterwards which removed whatever changes
i haven't synced it since
did you choose to install the 3dpack, the smaller set of working custom nodes, or nothing else
i hit y on that, didnt install the experimentals
let me just do a complete reinstall using your script
ipex_init: (True, None)
ok it was me somewhere that did the problem
Is this helping your speed?
it sacrifices a small bit of performance for better ram usage
Ah okay, I can't sacrifice anymore performance until they fix the performance lost since 2.1.
at least i think
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
If on 2.7 try 2.6, they are definitely cooking something that is messing with stuff atm
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
Torch 2.7 is on there but no xpu
ok it worky again
there's another comfyui-compatible clip finetune as well, check the hf repo in the reddit thread
the xtreme one... hmm
that is the one i have
i have the balanced one
which is the recommended
my decode takes like half a minute for image gen, is that normal?
Show workflow
will uploading image to discord retain the metadata? or do I have to upload it somewhere else?
the metadata is retained yes
is this fine?
Probably something with the facedetailer nodes makes it take that long. Never used them in comfy
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
what is your gpu?
you could also try setting vae decode to false and then adding a vae decode node? I haven't used that Ksampler before
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
B580, haven't use the lora
ive been testing out different launch args on comfy and it seems --use-pytorch-cross-attention and --reserve-vram 6.0 is optimal
4.0 is slower
Yeah, i found 6.0 is now faster too with latest drivers and pytorch.
I am hoping we get flash attention soon(heard vik say its supposed to come in 2.7?)
flash attention will speed us up a nice bit
I wonder what changed from 2.1 to 2.3? 2.1 was significantly faster in flux than 2.3 and later.
ok i just had a displayport disconnect again but on 2.3.1
this was while running juggernautxl with first block cache from wavespeed
using split-cross-attention --reserve-vram 16.0
lol does alchemist not like split cross attention
definitely doesnt seem to mind the same setup on pytorch cross attention
I've never gotten a monitor disconnect when generating, only sometiems when changing resolutions or going from windowed to fullscreen in games.
generate more images, with more complex workflows, without shutting down your pc
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
honestly, with flux I typically get an image I like right away. But I mostly do samples to test out video models now though.
my attention hijacks already does splitting to save vram and also not trigger the 4gb block limit, why do you need to use split attention?
also if split atten is using something other than sdpa, my hijcaks won't make any effect on it
It's not that I need it, I just wanted to test out its relative performance and savings compared to base attention
eitherway this displayport disconnect thing is happening for me with pytorch attention as well
im kinda excited for flash attention tho
if that truly is going to be usable for us in 2.7
OpenVINO has it and SDXL gives 2.3-2.4 it/s at 1024x1024
IPEX 2.3 gives 1.6 it/s for comparison
Non flash atten speed of OpenVINO was around 1.8-2.0 it/s
So by that comparison id expect a 0.4 it/s increase
25 percent
cool
Right now however, the current 2.7 nightly gives a tuple error
For me, sdnext was a bit too complicated to learn. A lot of settings to adjust
comfy seems complicated, but being able to look at workflows and reverse engineer them is better for me lol
i just prefer the ui in comfy over sdnext
🤷♂️
Something must be happening to cause a workflow like this to just abruptly crash
but even juggernautxl for me is crashing (but right now it's deciding to work so ok)
Might need to make a new environment
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
@covert cave Use AI Playground, or install with my script ^
sdnext has multiple ui type options : )
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
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.
it uses 2.3.110+xpu lol
i checked
yes, but I doubt this person knows what that is or what each version means
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
ipex 2.6 is out today
Yes, my script downloads that
that also should have bmg support
That's... good.
Are there any benefits of IPEX 2.6+xpu vs base 2.6+XPU
I could dig and see where they download their 2.3 wheel from but i don't wanna do that. seems rude
guess ill test for you then
Couldn't test it because of this: https://github.com/intel/intel-extension-for-pytorch/issues/794
Describe the bug IPEX 2.5 XPU and 2.6 XPU cannot be imported on latest Arch Linux. IPEX 2.3 and below and pure PyTorch 2.5 / 2.6 / 2.7 XPU without IPEX is not affected / works fine. Importing IPEX ...
performance differences are different on linux and windows 😛
got yeeted by the bot lol
no idea what's up with that
posted messages with links too quickly i guess
It's happened to me a bunch of times
It is what it is i guess 🤷♂️
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
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
NoobaiXL?
NAIXL
896x1152 though
100 cfg (7cfg mimic scale)
ye i have it
i have illustrious 1.0 as well
and pdxlv6
seems pointless to me to use non-vpred anime models now that there is a vpred anime model
ok guess every model ive tried that is enhanced with it are bad now
including flux
lmao
flux doesn't use cfg tho
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
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
2.7 might have new optimizations, i wonder if there are differences between 2.6 xpu and 2.6 ipex?
it seems just as fast as base 2.6
just with added ipex support
This fused limbs issue you mention isn't something I've ever gotten from using CFG
i was just about to test xpu 2.6 in wsl 2*, finally figured out my errors were from bitsandbytes being installed
Unless it's from too much CFG causing burnin
ive gotten fused limbs more from using caching nodes than anything
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
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
If the model predicts people in the same pose regardless of prompt, cfg won't make broken limbs
But if it predicts even slight differences, you can start to get broken limbs
ive noticed this happen eitherway at low denoises on second pass
ipadapters can resolve the issue due to bringing more context of the previous image in
and flux redux can deal with it entirely
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
i am also happy with epsilon
Going Wsl2 seems way slower so far, at least in Hunyuan i2v. Might need some different command args
wsl2 doesn't completely fix the not-quite-leaks
or was dan having the blackscreening issues
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
sup
think i'd likely need 64gb of ram to make wsl usable, seemed super slow with the video models.
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
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
You guys using linux do you constantly get errors and nodes not loading because of bitsandbytes?
bitsandbytes does not currently support intel. you will get errors.
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
how do I into i2v? does b580 adequate enough for that?
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.
I got the UR error trying the WAN demo
Post the error log, I don't know what that means
uh guys
the latest nightly is installing triton
pytorch-triton-xpu is included in the current nightly
2.5 and 2.6 also has it
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
also we got a tts that works ok on arc
spark-tts
example text:
output
(I regret this)
nightlies has switched to torch 2.8
That's a pretty good clone, damn
Tortoise tts would just turn anything british
0.5b parameters too
its only using 6gb of vram
with the ipex-to-cuda hijack
link the custom node, i wanna try it
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
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.
we'll see
RuntimeError: 2 active drivers ([<class 'intel.XPUDriver'>, <class 'nvidia.CudaDriver'>]). There should only be one.
Did you have to pip install sage attention? I tried it in wsl 2 and it wouldn't work for me
i did and it downloaded, but hte problem now is that i have two driver classes lmao
Are you getting the error with bitsandbytes? If so try and uninstall it
no the error is with triton
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
might need an update
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
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
with hijacks enabled?
ye
Fixed this one
update
torch changed inductor to lazy import so my triton fix was failing
seems intel issue
and without sageattention the issue with compile is with a missing attribute, "AttributeError: 'torch._C._XpuDeviceProperties' object has no attribute 'L2_cache_size'"
you can set that attribute yourself. but i imagine that wouldn't be a good idea and there would be more errors after it
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.
could not create an engine for me usually directs me to looking at if my integrated graphics is enabled or not
that is what resolved that for me
a driver install re-enabled it
my script should also work on linux
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
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
"woman with pieces of jelly on her cheek"
nope
no intergrated graphics lol. I dunno what's wrong tbh
i mean, i can assume it's supposed to be blood or pimples it's just that it looks like jelly 😂
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
latest nightly is 2.8
both I believe
you may need to update, looking at the site they have 2.8 wheels for windows too
Where.
Where are you getting these wheels?
I'm using the official pytorch nightly...
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
i had to force it
although it may be broken so be weary
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
i always have to --force-reinstall
if the version is higher numerically you usually dont
at least ive realized that when installing torch 2.3 to 2.6
🤷
looks like 2.7 is in stable preview as well
How does --upgrade in pip determine a newer package
gonna swap and see if it works in linux, or if I just don't know what i'm doing
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
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
what's the speed difference from before?
it's trying to download every version of torch again, I dunnow why it does this sometimes wtf
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
Having alot if trouble using the 2.7 preview, wants to give ne 2.5.1 lol. Linux!!!😡
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
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
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
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
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
ah, there arent any nodes for OpenVINO use in comfyui though right?
i could use SD.Next but i like my workflows ;-;
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
don't think we have an option for openvino in comfyui yet, torch compile is usually only used for video models by most people i think.
im confused
how are you getting 1.3it/s on sdxl and im getting 1.7it/s
without compile btw
sdxl dpmpp 2m sde karras
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
on 2.7.0 nightly?
How do I get it operational?
I believe he is only on linux (unless things have changed)
I found you have to add the c++ compiler to path https://github.com/comfyanonymous/ComfyUI/issues/5216 but I am now getting another error
updating visual studio to see if it helps
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+++ ?
looks like it may need the basekit and level zero?
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
i have oneapi 2025, 2024.2 and 2024.1 installed
ipex-init is initialized at the beginning of comfy
did you set the c++ compiler to path like in that comfy thread I linked? I think we need both, I am downloading 2025 now
the cpp compiler is automatically initialized on initializing oneapi variables i thought
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 ::
IMO there has not been enough improvement outside of LLMs
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
that's MSVC
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
So Compile on Windows supported on 2.8 nightly?
That we don't know.
🤷♂️
Disty is an intel user
on linux
Hmmm
maybe, but 2.8 won't install as torchvision has 2.7 as a dependency
bout to send you the error
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
It still has that RVC issue
The artifical breathing and high-end
are you prompting for the background music?
also seems to have some slight sound effects
no
i used uvr to seperate the music and voice
i did the voice then readded it to the base music
ah okay, I need to start learning voice stuff.
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.
Linux still didn't recover the speed with 2.7 / 2.8
This fork seems to have flash attention for Xe
hmm, does anything work? It looks like you hav 2.5.1 cuda and not xpu or ipex?
t2i works fine, I think I already installed the xpu 2.5.1. I don't know any other preparation on i2v so I just slap the workflow and prompt it
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
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
pure pytorch doesn't have the +xpu tag
it is listed as this
Should be able to install it the same way you did before, it probably got overwritten when installing a node.
just load into your enviornment and then install this https://pytorch-extension.intel.com/installation?platform=gpu&version=v2.6.10%2Bxpu&os=windows&package=pip
This website introduces Intel® Extension for PyTorch*
I believe 2.6 is still latest, so it shouldn't override anything atm.
is it still able to run on xpu?
yes
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?
1.68 it/s on 1024*1536, seems like it's working on my gpu
Tested 2.1.40 without any optimizations:
Changed TAESD previews to approx previews:
Do you have the ipex to cuda hijacks installed? It could be you just need to update comfy and your nodes to the latest maybe.
I don't know what's that so probably not. how do I put it
#1193952640225267802 message only change is you need a different edit to the management file when not on ipex
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
do I need different comfy install or what? I think I'm on phyton 3.11
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).
do I add or do I modify?
damn I got the error and forgot to back-up the script
are you using vik's script? If so just let it do everything for you, just chose what pytorch/ipex you want etc.
I've to redownload everything on that then? or can it "repair" my installation
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
2.6 doesn't have the IPEX, can I proceed with 2.6 or no?
you can use 2.6, he probably just needs to update his script to add it.
how do I change my drive? I don't think my C: has enough space
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.
so far it seems setting reserv-vram to 7 from 6 fixes this.
the progress stuck without any download info or new lines, is it safe to restart the script?
show a screen shot
this one, it has been 10 minutes
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.
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
try and restart it
you can also click on the link and install with the file
you can do pip install path_to_the_file
do I have to activate the environment for it?
yes
uh, how do I make the setup.py?
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
idk actually, the script should using the 3.10 right? Why won't it uses 3.10 files if it's on 3.11
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
it's 3.11...so it stucks because of different python version

uh, how do I change within the script though
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.
it's stuck on this part now
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
13.5 minutes with enhance a video added to workflow.
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
nightly updated to 2.8 in windows, seems about 15-20% slower, Torch.compile still not working yet also
Outside of the 5 missing dependencies, this was a very easy install. I'm happy
soxr soundfile einx librosa transformers>=4.45 if anyone wants them
this is called spark tts?
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.
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
I really
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
Hmm, it works with very long reference audio?
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
does this pre-startup failed means that I can't make the i2v workflow works?
You installed the experimental 3dpack stuff
It's experimental
Something broke. You probably picked a pytorch version that's incompatible with torch_scatter. You should have gotten a warning about this. I dunno if the setup would then end.
If the setup ended at that point, delete and reinstall without the 3dpack.
I closed 3dpack midway because it's stuck on openvino for so long and restarted without the 3dpack, does delete and reinstall works?
Yes, 2.7 is very much incompatible, there are no CPU torch_scatter builds for that
Yes, delete everything and reinstall. The script does not have any infinite loops or anything like that. If it looks stuck, it's not, it's downloading or your internet cut out.
Nice
angled chairs 🤢
🤔 seems very sensitive to audio quality
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
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
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?
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
my ram is 32gb
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)
where do you get input voices from?
I just take input audio from youtube, and cut it down to samples.
If the audio has noise, I use UVR and mdxnet instvoc to seperate vocal from instrumental sounds
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.
how do I grab the i2v workflow?
copy paste gets me that
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
where do I grab the gguf? don't think the examples mention that
being unable to install nodes because of random reason is annoying
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.
that looks like some sorta oom
thats what im trying to figure out tho
there are 2 comfyui nodes for spark, only got one to sorta work
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
comfyUI doesn't detect my git clone. you do it like this right?
you clone it into custom_nodes
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
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
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
thanks, i will check that out
also i swapped back to 2.7
the preview build
because i was crashing on 2.8 nightly
It was slower for me yesterday so I swapped back, i will try again today and see if anything is changed
nope, doesn't change anything
if the custom node is in your custom_nodes folder and comfy isnt detecting it then idk
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
nah, i am on 3.10, so that shouldn't be a problem
Yep judging by what gemini responded with the issue is a python version mismatch
yeah, i get that all the time but it doesn't hurt anything
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:
you probably got the older version of the nodes so the python version already adheres idk
comfyui prob updated the format recently
I have 1.0.0
if that's the case, git checkout an older commit
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.
also, don't even bother, you don't need this node
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
now for the unet loader, where to download it. i don't see any on https://comfyanonymous.github.io/ComfyUI_examples/wan/
it doesn't show in missing nodes?
I mean the gguf model, it takes me a year with comfyUI workflow
oh, you need to download the quants from city96. https://huggingface.co/collections/city96/gguf-image-model-quants-67199ef97bf1d9ca49033234
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.
you should be able to use the vae here https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main
probably keep him bookmarked or something, he typically has quants for all the models that come out
comfy-org, kijai and city96 are the three main ones
converted mp4 to a wav and still get unrecognized format error.
guess I can try the stand alone version later
Convert better
What did you convert with and why was it not ffmpeg, audacity, blender or handbrake
Or maybe davinci resolve or some Adobe™️ product
ye ffmpeg ftw
also audacity (both are good)
also handbrake (also good)
but blender for audio conversion is an interesting one
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
Right now it seems I'm getting a ton of device lost errors using spark.
🤷♂️
I don't think it's offloading at all.
I used audacity with the ffmpeg addon
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.
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
maybe the download got corrupted
Nope i tested it with a diff upscale model and rechecked my comfy install
crashed
is it the native node?
ye
upscale image (using model)
for now ill just force the node on cpu
line 51 in nodes_upscale_model.py in comfy_extras
testing, never used this one doesn't seem like you can tell it what size to upscale by
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
I usually use sd ultimate
hmm, i could just force a single tile run
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
no longer crashing as i used gemini pro to rewrite the nodes_upscale_model for cpu
nice, also I think this is what I used to do https://www.reddit.com/r/comfyui/comments/192w0ei/upscale_image_using_model_to_a_certain_size/
someone installed https://github.com/Gourieff/ComfyUI-ReActor on comfy with arc?
im having this error when run install.bat from C:\Comfy_Intel\ComfyUI\custom_nodes\comfyui-reactor
install.bat
plz help
Activate your environment and do python ./install.py, in that custom node's folder.
python 3.13 is not supported by that node
how to check which version of python is my comfyui using? to make sure
sorry im noob, how to actiavete it?
are you using my script
yea
launch from the shortcut. then press ctrl+c.
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
thank u man
u just figured out that if i stopped the script i can keep enter commands in this env
I specifically made it so the shortcut keeps the command prompt open when comfyui dies
this is by design
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.
thank u, i used prebuilt Insightface package
but something is wrong when i trying to use pulid
Show the whole stack trace
this? or full error log?
Move the onnx files into the parent folder: antelopev2/*.onnx```
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
it worked!
i thought that im using the one and only pulid implementation for comfyui
new error
You've chosen the wrong model in some node.