#✨|sdxl
1 messages · Page 48 of 1
could also be a name thing. maybe naming your field "seed" cues comfy to add a randomize option
Yeah this is it
Anyone know what this errors means in Comfy UI? Was working but then stopped "RuntimeError: Sizes of tensors must match except in dimension 2. Expected size 154 but got size 77 for tensor number 1 in the list."
Iirc Ive looked at the code before
Interesting behavior. I'll try that.
Where do we get the style.csv file from? my stable diffusion folder doesn't have it for some reason
Insane
guys, is there any way that i can use the clipdrop 0.9 back again instead of the 1.0 ?
SDXL 1.0 simple prompt
@nimble heart @civic sigil Thanks. Worked like a charm. Been trying to figure that out, but way simpler when seed was connected to it's behavior. Which makes sense.
same background with color and a new subject
this is so fun man, just got home from work and the model is out already wild results
my poor SSD with all this prompting today, over 10 drive writes in 1 day....
Hmmm. I was loading the refiner and my pc restarted. In A1111
i have a whole second power supply i rigged up with a bunch of drives
did u update
I can't use A1111 with SDXL 1.0 yet
y
Works flawlessly on ComfyUI faster for all other models too
full node is here if you wanna peep it
https://github.com/Beinsezii/bsz-cui-extras/blob/master/custom_nodes/bsz-principled-sdxl.py
Was looking at the code when I saw your screenshot. 😉
wow bumping the steps up makes a huge difference on the base model
I import the base nodes and use them directly but I've seen other base+refiner nodes that do the conditioning and sampling directly so that's valid too
I just find it easier to just re-use comfy's work
Yeah and easier to maintain.
ive been boomering it and too lazy to set it all up and learn it, i use a text file to save everything lmao
and leaving the webui open forever
wdym text file? what are you putting in it?
oops lmao, I put Ice Bath and it took it a bit literally and it's frozen her in ice
prompts lmao
ah yea. I do that for prompts too
most people use a Note node that's 500 tiles large to save all theirs
how big can u go for resolution
same here for me, unusable on auto 1111, 1 image takes 20minutes or more, on comfy 1-2 minutes.
You're running into VRAM bottleneck
if you do a low res first pass, the 2nd pass can be as high as your GPU can handle. else maybe like +25% max
but i feel with all the nodes comfy is so much
even for displaying in a structured clean way
dam time to get a a100
im kinda sad i cant use auto 1111
also wait for TensorRT to work for ~twice the speed, even triple
do not use auto1111
why have 30 small nodes when you can have one fat really complicated node
#✨|sdxl message
why not?
nvidia
ohhh you're an amd boy
dunno i just dont feel comfortable with using comfy ...
I know... you need to learn how to use it, it's just time. keep it up
if you've ever used blender shader nodes or unreal engine blueprints you can learn comfy super fast
comfy you only need to know like 5 or so nodes to get started
it's pretty easy
i probably just will use artroom for sdxl now, its clean and runs super fast
you dont even need to learn how to use comfy, just load up a popular workflow like sytan or serge's and just prompt in those like you would with a1111 lol
What is artroom
I do, I leant Comfy, it's a good UI. but A1111 is more comfortable for me. I would switch entirely to comfy if it will be usable with TensorRT tho
artroom ai, a standalone program for doing ai
fartroom
Lol
doing really well with sdxl
up to about 3.2 it/s on base 1024 so it's working pretty well for me. That's with sub quad cause the card doesnt support torch attention yet.
Dunno if RTX 2070, 10750h processor and 16gb RAM would handle SDXL well locally
comfy is just , u wanna add something , then u need a another node , another node and another one, i dont figure out, how all those extra sampler settings work. dunno just overwhelming for me.
yes
the official SAI ui uses comfyui as a backend
called swarm or something idk
Its in alpha right now
you dont need to add anything lol, lots of people have already done that for you. just load up their workflow and you can just prompt lol
all the best software has it's version start with '0'
Yes 😄
@rootybeer just a lot of additional settings that i dont figure out.
Artroom is an installable AI renderer, similar to A1111 it's a bit faster but the UI is trash
I dont intend to use this as a main tool and not even as main gen AI tool
i just dont think auto 1111 will improve a lot bec. most people have better gpus and dont have any issues with it 😅
the moment comfyui releases 1.0 someone needs to start over @ 0.1 on a new UI
There is no need to make it complicated with comfy, just use his sample flow. It will work nicely. Better to put effort into understanding the model. After that you are probably ready to fiddle with the nodes.
SDXL feels like you have LORAs running, except you don't have any.
NSFW stuff aside, it is already good enough as it is, compared to 1.x
Ooh ok thx ^^
the ui got reworked its not trash.
also a1111 has a bunch of weird default settings. Like high vram and whatnot
they are putting a lot of effort into it
so whoever was having 20 minute renders on a1111 you can probably get it up-to-speed
Is there a comfy Discord server?
Guys do i use the same sampler and steps for high res fix in comfyUI? Whats a good denoise strength, 0.3?
dunno im running on a GTX 1070, so auto 1111 takes 20 minutes for a gen, comfy only 1-2 , i dont know why the difference is so huge
Id only need this here for specific image generations. Everything else like inpainting and outpainting etc. i do in Photoshop/Firefly
he prefers something called matrix instead
0.15
I also use InvokeAI but it has limitations too
re:
Ty! and same sampler?
new changes to my upscale workflow are looking promising
im really happy with artroom, and its improving day by day, so i cant say anything negative
it no longer eats skin texture
had sdxl support directly after it came out
In Comfy UI I use denoise of 1.0
yea it should really eat more than just the skin, else the rest of the body goes to waste
lmfaoooo
Artroom crashes on SDXL 1.0
these are crops, but yeah, its working really good now
Have to try to updte it. Never got it to work with SDXL 0.9
eyes are still an issue, but hey
left 1024?
after the update, when i download the image in my mobile browser its in PNG in 3-5 mb with 1024x1024 and when i download it on PC its in JPEG in 200kb with 1024x1024. But with the earlier sdxl clipdrop 0.9 the default images were downloaded in PNG with around 5mb size and 2048x2048 default resolution. The update messedup everything man. Can someone help me what went wrong?
that's pretty good for just the refiner
vs a screenshot of the upscaled version
both together so you can jiggle between them to see the differences lol
hm if i go under 0.3 the image gets bad quality
open the bunny png and see what i use
after the update, when i download the image in my clipdrop in mobile browser its in PNG in 3-5 mb with 1024x1024 and when i download it on PC its in JPEG in 200kb with 1024x1024. But with the earlier sdxl clipdrop 0.9 the default images were downloaded in PNG with around 5mb size and 2048x2048 default resolution. The update messedup everything man. Can someone help me what went wrong?
ok but how many steps are you using?
@high skiff wonder how doing the misalign step would look using only the refiner. Have a refiner node that just adds 30 steps of noise but doesn't sample, then the 2nd node samples @ 29 steps
if you open the png in comfyui you'll see all the parameters
no idea, give it a shot :P
noooo another thing to code into my omega node
- But open png in comfy and see all the config
hehehe
hm when i drag it in nothing happens do i need to do something special?
just uploaded json
Morning peeps, here are some male celebs I generated overnight with my 'grumpy style' lora. Turned out pretty good I think
also if someone needs help I made a quick tutorial
Today, we will explore how to use the new model on ComfyUI, which is currently faster and more resource-efficient than Automatic1111. The installation and usage are incredibly simple (just remember to have Python installed on your PC).
- Download from https://huggingface.co/stabilityai : sd_xl_base_1.0.safetensors, sd_xl_refiner_1.0.safetensor...
TY
good morning 🙂
ripped eddie 😄
he means business! 😄
guys dont accidentally swap your base and refiner models you get Kaminoans
oh but you are doing the normal upscale not latent which give much better details?
I love him
you should really switch your positive and negative prompt to enhance the quality even more 
Hi everyone, do you thing the steps are most important with the refiner or the base? rn I'm getting mid results when looking for some cyberpunky stuff (20 steps each)
u need the beta
the beta has a completely changed ui
why does the latent high res fix take sooo much loger than the first normal pass?
vram just hit 23.8 / 24.0 
hey when i switch models in automatic 1111 it uses a ton of system ram how can i stop that?
Because it's 4x or 2x the size? Maybe it's going into shared memory?
A1111 or 4K generation?
2k on an AMD card lol
Yeah probably it the 2x lol its late
takes like 2min to generate a 3k image
like when i switch from the bais model to the refiner it eats up all my system ran and crashes my pc
ComfyUI is doing work starting to love it
I should try 3k
i hate the gradio bs
would be like generating 9 normal sized images
can someone please help me
its pretty dope doing widescreen 1024x1024
In what way?
dope yes but it's gonna have to unload models while working which means slow AF
in automatic 11 11 when i swich to the refiner model it eats up all my system ram and crashes my pc
oh dont use that
for SDXL its utter trash
use ComfyUI
its like 10x faster
lmao, not exactly what i was going for but interesting none the less
A1111 didnt even load for me others need like 5 min per pic
why is it faster? doesnt it use the same underling code
--medvram should really be the default in a1111
A1111 isnt ready and badly maintained atm
its not really faster at least by anything noticable, its just alot of comfy fan boys in this channel
at least thats what everyone says switched to Comfy and its blasting pictures
Not sure why such hate for A1111 it's a different tool it's working fine for me.
can even do fullHD into 4k
Because it doesnt work for many and is very very very slow
hey guys, I'm not updated- is 11.8 still faster than 12.1?(CUDAtoolkit)
on comfy i can do 12 sec gens on euler for example in 1024 and i have only a 2080ti
A1111 works fine for me
depends what you're doing. If you're not using Xformers comfy is a noticable chunk faster
comfy needs less vram
wth would you not use xformers?
amd
and is much faster thats just a fact i havent used comfy before today
i tried it and its night and day
I'm not sure that the time saved due to performance is used at all
do what you will
because it feels like you have to tweak a lot more
this does not solve the proplem. my proplem is the system ram and not the vram
i use comfy and a1111 depending on what im doing and comfy isn't noticably faster on my system
Trying to get something similar to ADetailer with ControlNet and it's a complete pain in the ass
16 gb?
I prefere a1111 but comfy is way faster
I strongly approve. Currently running Base and refiner
no 32
it is like at 18 normaly and when i switch odel it shots up until my pc crahes
or i stop it bevore that
....does it not unload the old model before loading the new one?
Yeah its crazy i tried A1111 and it legit needs 3x the time for generating AND more vram. i dont know why people hat on comfy it looks so clean the gradio stuff was always laggy
try setting your model caches all to 0 in the a1111 settings page
i am nut sure but i think so. (in system ram)
I can generate 12sec pics with comfy of course the full 4k workflow with high res takes longer with the best samplers
cause different people like different things? and i dont know whats up with your system and others but these 1 billion times faster claims are crazy
Comfy is like 1 click download took me 30sec to install at least try it tbh
I mean check reddit threads. its not only my opinion or tests
Not here to argue works awesome for me im happy just trying to help
i dont need to check reddit, i have both installed and on mine they performan the same at about 3 it/s
hmm
i will also try it but i want to get 1111 to work its clearly not normal behavior
Ok but other people and the one i was replying to having issues. Not sure why you come and say hey it works for me
is tcmaloc important?
UncomfyUI sux
Some people on /sdg/ where explaining about how there were some contrast issues at some point. It's also some kind of weird FOSS chauvinism, just like with linux distros I guess lol
Nah wayyy cleaner gradio is laggy af
cause if they like A1111 maybe they can figure out whats wrong instead of moving to something like comfyui which can be way more complex
whatever im back making 4k pics 🙂 have a good one guys!
Many said A1111 isnt yet officially ready else try github issue thread
thats why i said use another software vladmatic works too
@high skiff kinda see what you mean by eating skin texture when using only refiner on upscale. This is just bicubic pixel upscaling. Sounds silly but I wonder if you could just run a regular image sharpening algorithm from PIL or something instead of a whole ass AI upscale since the refiner just needs the extra small detail contrast.
it can improve performance and memory usage
i cant install it with pip
oh wow, that is a lot of image change
only 0.1 denoise, but I also change the clip target resolution to match the output
so first is 1024 target, second is 2048 target
damn
its a c library, if you are using wsl or linux you will probably want to install it through your os package manager
let me try that I guess lol
i believe the target should be 1024 but the others can be 4096.
yes, i think that is the proper way to do it.
ther the package cant be located
what os are you running?
linux
do you use apt, rpm, yum, apk ?
apt
tcmalloc is part of the google perf tools I think
doesn't really do anything for memory usage though
what is it called
just search "perf" on your package manager
SDXL can finally generate skateboards that don't look like alien creatures eating your feet 🙂
google-perftools
When using --lowvram on automatic, it's a must. Otherwise, the leak will kill the system after some generations
I think tcmalloc is a bandaid fix, I don't think it actually solves the memory issues a1111 has
just kinda delays them
vram is not the proplem
system ram is
tcmalloc is a pretty badass memory allocator anyways
Yes, but the problem with RAM is only triggered with --lowvram
if you can use it, why not load it up, it will only make things better
Other that the --lowvram scenario, I noticed no change
it still uses 20 gb system ram
But it stays there
saw on the a1111 issues thread somewhere you can manually drop cache using a shady super use command
which frees all the wasted mem
On my laptop it's 28 GB with SDXL
how mutch ram do u have
The laptop has 48 GB, the desktop 16
A1111 1 Image -> 20minutes or more, Comfy 1-2 Minutes. Especially on lower End Hardware A1111 is completely unusable atm with sdxl
so is 32 gb ram not engoh?
32-28=4, so it should still work
my system uses 4.2
a1111 doesn't even support using the refiner anyways, it shouldn't use more than like 16 or so gigs
it works with image to image
not really how you're supposed to use it but ok
It would be interesting if Stability opened a channel here on the server called ''Workflow-Comfy'' where people could post workflows...🤔
You guys notice any difference in tagging your dataset as opposed as just using the images by themselves?
any images people post will have workflow meta embedded
so you can just drag and drop images into comfyui and it'll rebuild the workflow
i guess i try comfy ui i realy thoght 32gb would be engoh
I cant use Sd 1.5 Loras for SDXL, right?
I know, but I'm talking something more controlled and organized.
it is but a1111 has had those issues for a while, sdxl just makes them way worse cause the models are larger.
I've had a1111 use 60 gigs on sd 1.5 before
there is no reason to not try Comfy. It doesn't take long until you'll learn to love it.
like the model only uses gpu ram so why is system ram a proplem here or am i misuderstanding something
models need to be loaded into both
Or you can use Comfy on Android and then you may hate it...
yes i am downloding it now
huh? i do an image using SDXL in 1-2 minutes with A1111
but on system it takes way more space
something is seriously broken with your system if A1111 is taking 20 mins for an image
it's cause the base is still loaded when it switches to the refiner I'd assume
probably stronger hardware
nope , on sd 1.5 everything is fine
probably. why is it not nloding it first
A1111 uses more VRAM. If you exceed VRAM and start using system RAM, performance will plummet.
make sure these are on 0, beyond that idfk
if you exceed VRAM torch will just give up
dunno i never get low vram messages, it just takes 20minutes
not with modern nvidia hardware and its unified memory tech
Not with newer NVIDIA drivers. Instead it will start spilling over into system RAM and get really slow.
not even using -medvram
modern nvidia will page out vram to system ram
but my auto 1111 is running fine
yep it was on 0
That is why there was a rumor that newer Nvidia drivers caused A1111 to be slow. That wasn't exactly true. It was the memory handling not just a mysterious slowdown.
no Problems with 1.5 or 2.1
600 IQ move. Sell GPUs with shit vram capacities that slow down once you run anything to upsell people to the spendier cards
When generating with SDXL in A1111 at 1024 with 20 samples it takes about 6 seconds to get to ~90% then takes another ~20 seconds to finish the generation. Using a 4090. Is this normal behavior?
NVidia changed the drivers to avoid OOMs on peak VRAM usage. That's a good thing not a evil plan.
well sometimes you don't care about speed, unified memory allows people to do things not otherwise possible. so while i love to shit on nvidia, i can't say anything bad about this particular feature.
anyone that can sell a 3080 with 10 gigs for $650 is evil, no question
That sounds like the VAE step. But 4090 should have enough VRAM. I would expect that more on 4070 or less.
might upgrade soon to a 3060 or 4060 ti 16gb
Nvidia doesn't want consumers using $650 cards for AI. They want AI done on $50,000 datacenter cards so they make more money.
or an 8 gig card for $450 or whatever their mid range 40 series costs now
if you are upscaling a 1k image to 2k, sdxl can use about 33GB of vram fwiw
They said at 1024 though.
consumer cards are already limited on fp64 compute you don't need to nerf the shit out of the vram too
takes me that long to generate a picture and upscale it to 2048 on a 3090
They do whatever makes them the most money. If nerfing cards makes more money for shareholders they will nerf and we will still buy. That's how it is.
make sure you don't have hi-res fix enabled
one of my racing sims used 20 gigs of VRAM; selling a 12 gig card for $800 is actually evil
i think i have those on default
2k images with sdxl takes 33 GB of ram like i said so on nvidia cards its going to page out a good chunk of that to system ram which is alot slower then your vram
But if they only offer 12 GB people will buy it when the choice is no GPU at all. They know this and so they nerf the cards.
probably better to just generate at 1k then use an upscaler then realegrsan or swinir and scale it to 2k that way
what is the benefit on caching vae and model into ram?
i agree god corporations are just so evil and scummy god i wish i had money
2nd hand 3090's go for like $750 in good condition
Faster to switch between them.
and for gaming the XTX is $950 for essentially a 24 gig 4080
i just want nvidia to release an 80GB+ card for under $5000, am I asking too much?
yes.
you realize nvidia has been capped at 24GB cards for consumers now for like 6 years or something?
the original plan was a 12 gig 4080 so 100% asking too much
Never going to happen when they can sell that same card to a datacenter for $20,000.
i just couldnt pay for the power consumption of all those high end cards 😄
my titan card from like 6 years ago had 24 GB of vram
For the ComfyUI noobs. This is ComfyUI in a nutshell
Nvidia does not want AI happening on home PCs. They want it in datacenters for many reasons.
im going to get the cheapest with high vram, so 3060 or 4060 ti
do the 3060, the 4060ti sucks
For AI get the 4060 Ti 16 GB. Lots of bad gaming reviews but a good card for AI.
VRAM is king for AI.
titan was basically a lightweight data center/AI gpu. It had unlocked FP64 compute iirc
it was also under $2k
if all you wanna do is AI on it, then sure
It'll likely be slower than the 3060 tho, so keep that in mind
I just tested same prompt, seed, steps, cfs,sampler,same size, same batch etc. and sdxl 1.0 model with a1111 and comfy. a1111 took 38,7s and Compfy 6.81s. (If i missed something pls tell)
i might get it when its cheaper atm 500€ is way to much for me, anyway i also need a new monitor aswell when i upgrade. my monitor doenst support display port
and now they killed the titan branding cause too many college students bought titans instead of quadros lol
Slower than a regular 3060? Really? Maybe the same as 3060 Ti but I don't know about slower since most computation is done on board.
there is something wrong with the way a1111 implemented SDXL, it just runs massivly slower, takes up more vram than comfy, and seems to output garbage half the time
@primal vault did you mean 4x-Ultrasharp instead of 2x-Ultrasharp in your instructions?
nah they just released then as x090 cards (3090/4090/etc)
the 4060ti has an anemic VRAM bus
Extremely small, and it can fall hard on its face in high bandwidth thing s(like AI and rendering)
Slower because of VRAM usage and swapping. Garbage if you don't choose a correct resolution.
the X90 cards dont have unlocked FP64 compute still
titan, titan rtx, 3090, 4090 is basically the progression and. they all had 24gb of ram afair
my settings between comfy and a1111 were identical and a1111 performed way worse
It would be interesting to see a real comparison for AI. But hard to find reviews on that.
Same Seed and everything i think. Left a1111 and right Comfy (a1111:38.7s,comfy:6.81s)
yeah, it's a typo
i don't care about FP64 personally, INT8, FP16, BF16, FP32 are the ones I care about
Yes, I know. Just telling you why it is like that.
hate that i need to upgrade my monitor for it, bec i really like my monitor and its hard to find tn panels today :/
Would a 4090 be a good card? I was looking into builds that use it lately
for us it doesn't matter, I'm just saying the Quadro/GTX gap is getting bigger not smaller
or A/RTX
whatever they call them now
for AI, I would go 3090 instead. Same capabilities, and a lot less money
just not as fast
Maybe I will look at the A1111 code someday to see why it uses more VRAM. But not on my to-do list right now.
Noted! Thank you
you will want much of RAM as well at that point
its a decent card for the price, i know alot of ml nerds use https://www.zotac.com/us/product/graphics_card/zotac-gaming-geforce-rtx-4090-amp-extreme-airo this specific card
Inspired by aerodynamic concepts, the ZOTAC GAMING GeForce RTX 4090 AMP Extreme AIRO utilizes an AIR-Optimized design to bring out the best in the world’s most advanced gaming GPU powered by the NVIDIA Ada Lovelace architecture and DLSS 3. For gamers and enthusiasts who desire the ultimate performance, the AMP Extreme AIRO graphics card has ever...
Not sure what the deal is.. Restarted SD and now it's doing them in 9 seconds but still randomly stalls.
idk man ive seen 50 it/s reports on 4090s, thats definitely tempting
RAM is a factor but for AI VRAM is king.
the best card available rn if you have the money
if you really want to get deep into AI, 256 GB+ RAM is the way to go
if you do gaming also consider the 7900 XTX. Cheaper than a new 3090 and substantially better for gaming at a moderate cost to AI tooling.
How does that much RAM help if you only have 8 or 12 GB VRAM?
if your really going deep, its probably cheaper to start looking at renting gpu space on a cloud
its gotta be a1111, im using comfy with 0 issues. im only reading a ton of bad stuff on a1111
no, that isnt enough
at that point youd go for dedicated AI VRAM
ill take a look if it has an impact if i set those caching stuff to 0
best card under $2k... the new 6000 ada card has 48GB of ram so if you are looking for under $10k I would go with the 6000 ada personally
I asked how it helps.
Thank you all for the input!
oof AMD pass...
dont know what is the Default value on auto 1111 for the caching
A1111 is less efficient with VRAM for some reason. No one has figure it out yet.
if you're like 95% AI I agree but it's been pretty great at everything else.
and if money is no option the A100/H100 cards are absolute king of the hill
AI is pretty mid. Fast but hogs VRAM and has some weird quirks still like 2k VAE decodes taking forever
they should release a 24 gig battlemage GPU since their AI stack is already probably better than AMD's lol
i think apple is going to beat intel ark to the goal line at the rate those two are moving
in gaming they got way better with the developmrnt of the drivers
All GPUs are good at AI. But AI libraries mainly support Nvidia. That is the difference.
a 24 gig gpu for lets say $600 will sell like hotcakes
I would buy one right now. But more profit for Nvidia to keep AI in data centers. 😦
can get a macbook pro m2 with 96GB of unified memory, you can shove huge ml models in there
i boght my 3090 for 650 😈
used 3090's go for that sometimes
Do you know if haveIbeentrained opt-outs have been eliminated from SDXL training? It would mean we just lost 1.4 billion training images out of 5 billion :/
Is 1 minute per iteration normal for sdxl lora training with bmaltais/kohya_ss on a 3090 at batch 8?
It's improving but it's not there yet. On the AMD side they have a script that runs through C code and just replaces all cuda calls into hip versions and it works well enough for some things. used for pytorch and bitsandbytes. No idea what Intel is doing
In 10 years either personal AI will be illegal or all computers will have fast AI capabilities.
still think using artroom ai is a really good option, for sdxl 😊 if people want something easier than comfy, its running really fast
they used to
4090 is very good. Haven't had any issues and generations are usually extremely fast. Even upscaling is relatively fast (I've generated several 4k ultrawide wallpapers in under 1min with upscale fix in auto1111)
I'm talking new. The A780 had a 16 gig version for pretty cheap once the prices came down.
no
yes.
i know only about 80 millions of opted-out images
512 gens on SD 1.5 euler a 7/20 usually take 0.5 sec
back in the days of megabytes instead of gigabytes pretty sure some 3d accelerators had expandable memory
did that rise to 1.4 billion?
but not now
I know
oh
Maybe bots, maybe lobbyists abusing a loophole, maybe propaganda, who knows
also this just happend in ComfyUI and idk wtf caused it
im not sure on the number tho. Is that official? Because there was a deadline for opting-out as well
Faulty VRAM? That is a very odd pattern.
he became criminal and is now imprisoned in the AIcatraz
i started seeing stuff like that right before my last video card died
is it possibel to open the comfui so i can use it in the same wifi on a different device
What exactly does the refiner model do in sdxl? Is it kind of like highres fix?
I don't know, haven't seen SAI say anything on that subject
it refines the image
It's a model trained to improve existing images instead of generate new images.
also weird it'd be baked into the image. Usually lines are on your monitor post-display
if they took their promise serious then they did it, would be better to do so considering what is going on right now
Ok thanks. My sdxl results are pretty good so far without it. Hopefully automatic1111 includes support for it soon.
how can i make that i can use comf ui on a differnt pc like in the same network?
I get pretty good results without it. You can use it in A1111 but it's inconvenient. Send to img2img, change to refiner model, denoise strength 0.25.
--listen
Chess remains a difficult subject.
not even the correct way to use it
gives way worse results
Still, a fifth of the dataset just disappeared, and I can't believe the number went from slowly rising to 80m to 1.4B all of a sudden
What is the correct way to use it in A1111?
There isn't one
you have to stop the sampling early and feed the still-noisy image into the refiner, which isn't implemented in any form in a1111
maybe this counts those after the deadline as well
but you dont really need that much of images in dataset for high quality results
Maybe that's what will kill off A1111 then. But that's too bad because for many workflows such as inpainting it's still better.
well the issue is that the number of images doesnt mean all of those are high quality data for the training
I just found this out but Comfy actually does have an inpainting menu, it's just in a weird spot. Not as feature-complete though
You don't think they'll add it to a1111? I can't see them NOT getting it working....
a lot of the samplers don't even work properly so idk
I found that too but it's missing things like "inpaint masked only". But no SDXL inpainting model yet anyway so doesn't matter so much right now.
It's spaghetti code and the author writes the code for free. So who knows?
there is no 'correct' way of using it, as long as you are happy with the results, the intended method is to stop the gen at about 80% and then finish it off with the refiner in the latent space, BUT if u want to use it in Automatic1111 u can gen an image with the base 1.0 model, then u send it into IMG2IMG with a low denoise and then choose the refiner and run it thru it, not the same results but works and does something
We need a controlnet trained to generate the best response to any given chess position.
Comfy-ui is not spaghet?
100% it is spaghetti
I've only used a1111, so all I know is italian food.
a1111 is like lasagna and comfy is spaghetti
It was because of a missing or outdated "SD Ultimate Upscale" Custom node you got that error.
Beric's workflows literally look like plates of spaghetti lol
But better than 1.5. a lora could be made surely
spaghetti is usually less entangled that Comfy
A1111 is friendly interface, spaghetti code. Comfy is spaghetti interface, friendly code.
hello. Im trying to install SDXL 1.0 locally on Mac. But I got this error in terminal: We do not support vanilla attention in 1.12.1 anymore, as it is too expensive. Please install xformers via e.g. 'pip install xformers==0.0.16'. I read that xformers work only on NVidia cards, so mac is not supported?. Thank you.
I'd call this spaghetti
a bit better than 1.5, yeah. It sometimes manages to at least get the right number of rows and columns on a chessboard.
here is a good node setup https://pastebin.com/sjhP8Pcj
Pastebin.com is the number one paste tool since 2002. Pastebin is a website where you can store text online for a set period of time.
looks like you spilled too much tomato
ComfyUI is actually pretty neat but for sdxl really miss a well put controlnet to get all the power we love about sd models
It looks like a lot of repetitive steps in parallel. And I'm sure just like "magic words" of masterpiece and 8k in 1.5, some workflows in Comfy are just nodes people add without understanding.
yea I'm not about to install a bunch of custom nodes to see what the spaghetti actually does lol. I just dragged in some image off this discord channel and that's the workflow that was used for it
how can i make teh seed random in comfy ui?
randomize
every time you click 'add to queue' it'll randomize the value
That is horrific
i dont see this in my node setup
March 3rd so we're good, only 80m max. It's still weird how this number went from this to 1.4B in 4 months
yeah tell me about it, i usually keep adding nodes then clean them and next thing i know it is full of nodes again
i find that 8 cfg is actually pretty good
it doesn't have to be complicated if all you need is generate images (with LoRA)
The really fat node with all the options built in I wrote myself, you can get it here:
https://github.com/Beinsezii/bsz-cui-extras
Alright, The seller of my first 3090 is starting to give me problems again, and I know how staff members from hardware swap telling me that they think that he's being sketchy, and that he's in the wrong, so I've blocked him and I'm getting ready to take this to full on PayPal court
So tired of all of this
My new 3090 should get here on Monday though, which is reliving
*relieving
A Hong Kong policeman, Korean, handsome, lying in an abandoned factory building, young and handsome, with photos, closed eyes, black military boots on his feet and blood on his body,
witch one
ik, my workflow looks like this. the spaghet was from a random image I found in this channel
Is touch screen support planned? 
on my repo it's custom_nodes/bsz-principled-sdxl.py
put it in your custom_nodes folder in comfyui.
apparently those 1.4 billions are for AI organization alltogether, this is not for SD only
thanks man, will be useful
why a py? a json shuld work
I think those also helped in the process of banishing images from training, especially given how much shutterstock must weight
oh
yeah
Lots of variety of monsters from that prompt, I like it.
dis mine
well Getty did sue SAI ofc
I think you should add more stages
but they dont have to worry about their AI
and dataset for training of AI
same with Adobe
and Nvidia
do you guys have a good upscale method ?
gibs good images and i can upscale p high
i just use ultra sharp works fine but i think it could get better
there's two main ways right now
- render a full image @ normal res, pixel scale, use refiner @ like 0.1 denoise to add details back
- latent upscale a partially complete image, then do base + refiner @ like 0.65 denoise
my node can do both, which is preferable depends on what you're doing. Sytan's making a workflow for 1) with some extra goodies using only base nodes, idk when he's gonna release it.
batch size?
ok i will dive into that
does someone know how far can you go with 3070
I need more detail in my faces, eyes all seem blurry
make sure you use the SDXL versions of the CLIP nodes since you can adjust size targets
End up taking it Auto1 I paint with face detailer
refiner settings?
20/80
ok i like comfy ui morethen i thoght but its still missing some stuff but its cool
20 base 80 refiner?
What is your prompt for the creature? "Monster" ?
Like look at his right eye, just doesn’t seem right even from a distance
Lol other way
gotcha gotcah
My bad 😅
what samplers and are you doing noise return or does the refiner add its own noise?
you see it quite obviously when you use too much refiner, you'll get other faces pop on the image
or maybe that's a me problem
Add noise on base not on ref
EulerA
Return noise on base not on ref
Ill post an img in a bit when I get back, gonna keep trying to figure out this facedetailer node today 
Question is the refiner absolutely necessary? cause I don't see much of a difference
imo it's kinda better to just use hi.res fix
okay
in many cases refiner isnt necessary
Although I guess if you were to train the refiner that'd be interesting
ahh training the refiner is an interesting idea
wait that's an interesting idea
Ive see worse output after refiner
Too rich for my blood
Any examples?
for mine too but someone has to do that
not on hand. I deleted them
Is @visual glade Online?
♪ "Pizza Horse, where the fun never strays,
Gallop on over for our equine braes.
A mane of cheese, a pepperoni horse course,
At Pizza Horse, we're a different pizza force!" ♪
im gonna try merging a xenomorph with a crocodile to see what i get
Baby zuck nirvana cover 🙈
I was reading that you can feed sdxl two different prompts and it merges them. is that possible to do in automatic1111?
is it possible to train Loras with old dataset ?
because we can train it with any kind of image ratio now
lol
Automatic1111 SD 1.5 I can do 1280x1280 images.
However, SDXL I can only do 512x512
If I go higher, it generates the image, but right before it saves the image, I get an error
OutOfMemoryError: CUDA out of memory. Tried to allocate 1.56 GiB (GPU 0; 11.00 GiB total capacity; 8.68 GiB already allocated; 0 bytes free; 9.31 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
i tried a nude shot on SDXL it didn't work
If using A1111, you will need to upgrade to the newer ("slow)") Nvidia driver. A1111 with SDXL requires almost 16 GB VRAM during the VAE step.
i think it's because you don't have enough vram
I can generate 1280x1280 with a 4090. no errors
It's fairly quick too at 30-40 steps
You have 24 GB VRAM.
Im doing 1024 with a 1650ti no prob
I have tried going higher and then it does generate errors.
1024x1024 under a minute with 3070 8GB
Mine is 1080 TI FTW 3 (11gb vram) with 64gb ram
I hope the next nvidia cards have 48GB of ram. I'm ready.
comfy ui uses way less vram atm atleast
Just blurry’ish eyes as discussed above 👆🥹
im doing 1024 comfyui on 3070 fast
hmm.. I'm using a previous version because when i updated, it didn't let me control teh 3 gpu fans. I don't know if the latest one fixed that or if the newest one is still the broken fan controls
11 GB is not enough for SDXL with A1111 unless you use the new Nvidia driver for unified memory. And maybe that doesn't work on 1080.
ComfyUI uses less VRAM somehow.
It’s magical
I'm using 502.31 driver myself
I'm using version 531.41 on 3/23/2023
latest driver available 536.67 on 7/18/2023
i'll have to see if there is an in-between version. if so, then i'll try the latest version
using the 502.31 driver and the image generation took like 30 seconds
I'm sorry I meant 532.03
any driver 535 and up is having problems with SD.
Nvidia is working on it
when it first came out i was generating in 7 min and after that i updated my driver and it worked fine
sheesh
What problems? My driver version is higher than that and it seems fine
I'm on 536.67
same i don't have any issue
I think they are saying for older cards
It is not having a problem. It is working as designed with a new feature. But because SD A1111 uses so much VRAM, it causes swapping to RAM.
15% refiner vs 0% refiner. I've had almost no images where the refiner made it worse when properly applied.
Ahhhh yeah I did notice the huge ram use
Regardless, Nvidia is working on a fix in an upcoming driver
♪ "Clip clop, trot to Sushi Horse, take the reins,
Feast your eyes on sushi mains!
In every roll, a horse delight,
Savor the gallop, each sushi bite!" ♪
I wish Nvidia would stop working on video game drivers and just focus on AI drivers, haha.
It's the same thing.
I don't know how they will "fix" it other than to allow you to turn off RAM swapping. Then everyone will complain about CUDA out of memory errors.
Is that the actual prompt used? lol
I would rather play games in low resolutions with low graphics settings at high framerate and low GPU usage, if i can render AI stuff faster
i'll have to check the settings. I have comfyui but i like a1111
You don't have to choose. GPU is GPU.
i'm just saying, that's my priority. I used to be 100% about gaming graphics cards.
now i'm 99% about AI stuff
I haven’t touched gaming since SD came out and I used to game daily 😂
Best way to get a lot of VRAM right now is spend $0.36 to $1.50 per hour to rent a GPU.
I generated this in A1111 in some of my first image that I remember where I was playing around. This was base only. and I tried refining it and it got worse but I deleted that image.
a1111 doesn't properly use refiner
that could have been the issue. but I think you can agree its pretty good for just base
if you want to use refiner in img2img make sure denoising is turned down to 0.25 or maybe even lower
yea the base is good
A switch would be cool for comfy
You mean a refiner switch?
I envisage my entire “possible workflow” all connected on one master workflow, and then its just a matter of switching on which work flow you want to work with
Oh I see what you mean. But that's sort of like saying you want one software program that is all programs and you choose which to use, isn't it?
Just on off switch
♪ "At Spaghetti Horse, our pasta takes the lead,
A stallion of flavor in every feed!
Gallop on over for a Prego prance,
Or a Carbonara cantor in Italian romance.
Mane courses brimming with parmigiano,
Our marinara races, never slows to a canter.
In this paddock of pasta, you'll find amore,
Spaghetti Horse, our Italian folklore!" ♪
In a round about way 😂
Can pretty much do the same with the reroute util and just disconnect the model to each path I guess
I prefere Ramen
I made a cat... he cute
That pasta tastes like ChatGPT. 😆
"These pastas are making me thirsty" - george costansa (sienfeld)
Please never stop with the grocery store frogs. We love them.
I won't ever stop
I'm generated many images of "toad in grocery store"
xenocat?
lmao, can i see one?
has anyone figured out how to use a LORA with SDXL in comfyui? i didn't get any luck with the lora example in the comfyui repo
not SDXL, but ok
doesnt matter
base only, 15% refiner, pixel upscale + 15% refiner, latent upscale + base denoise + 15% refiner.
surprised how good just a pixel upscale then a smidge extra refining can do
She’s so cool 😎
first some toad/frog + turtle hybrids
that looks so good
I looked at the first one and was like "this is a real animal what u talkin about"
♪ "Saddle up, folks, to Horsin' Around Fried Chicken,
Where the cluck meets the clop, it's finger lickin'.
Barnyard of flavors, from the coop to the stall,
Galloping goodness that’ll enthrall!
Trot on down, for a bucket that's winner,
In our chicken derby, you're always a grinner.
Hay, there! We're the funniest farm pickin',
Horsin' Around Fried Chicken, it's not just chicken!" ♪
Frotle
yea looks real
I am making images of spiders, and discovering that SDXL has an even worse understanding of what spiders look like than 1.4 or 1.5. How would I best go about training it to better understand spiders? I have a 16gb GPU. WARNING: spider--things
Xeno-Godzilla attacking a city........
I've used hypernetworks for that type of thing but it looks like hypernetwork training doesn't work yet (ever?) in SDXL. So maybe a Lora instead.
hey there, I used that example to use a LORA I trained with SDXL and it is not working. I'm confused, because I confirmed that the LORA worked using the diffusers repo directly. Any Suggestions?
The telephones are finally making sense
what's a good guide for making a LoRA?
I haven't made one yet but there are hundreds of guides. I will have to learn since hypernets seem to be dead.
Maybe trained models will fix that eventually?
yeah that's why I ask. Could pick randomly but looking for the community temperature
Why am I into frogs suddenly 😂
@wicked frigate
Is there no way to input sampler choice, when I load up any custom comfyui setup?
ksampler nor advanced ksampler pass on the sampler choice 😦
which is a bit of an issue for testing loras
got a link to any docs on this?
The guy on the bike looks so happy
This one looks more like a teenage Godzilla if you ask me.
Can I get the prompts to this one please?
I was going to recommend the old videos here. But I see that there is a newer sdxl video on the list already. I haven't watched that one (it's not by the same person as the old ones). But the older videos are how I originally learned to do the whole process correctly. https://github.com/bmaltais/kohya_ss/#tutorials
Are u using a1111 or Comfy?
a1111
i've probably generated 10,000+ images
u can download the image and open it in png info if you want
this happened to me when I forgot to switch back to the main model after using the refiner
if not i can send you them
yes this happened xD
I started back when all you could do is go to websites and discords like LAION
and I even started back in Google Deep Dream
Damn, your are an expert at creating frogs
for sxdl or for all of sd? because I was doing like 100k a week around september last year
i dont even know that one
one of the ogs
i'm only sharing a super ultra tiny fraction of images i made
Yea, i think sharing 10000 is a bit complicated, but your pics look awesome
8 years ago
i didnt even have a pc back then
2015 will forever be 5 y ago!!!!
Scorn?
@wet raven finally someone uses GTX 1xxx series 😄
?
its ispiered by a artist and scoren also was inpiered by the same artist
he is called beksinski
Wait seriously the only prompt was "frog at the gym"?
oh yeh he's in my prompt
Yes lmao
"toad mascots" with a drink on a golf course
Watch me try to do something similar and I get chicken scratch
Very creative
@wet raven are u using comfy?
i wish you good luck (i use the refiner model)
Fine....dog at the art museum. let's see how good 1.0 is
these images were made with many different things
but its sdxl? @wet raven
Bro doesnt know that the Tv is not even on 😔
I prefer Automatic1111, but i have ComfyUI, NMKD, InvokeAI and many others
made with jsut the refiner xD
lmao
some might be, i should have posted in another channel, sorry
Simple prompts often work well. But then people started adding "magic words" such as masterpiece, dslr, 8k, best quality. Without testing to see if those magic words really worked.
nono dont worry , was just curious and confused
I get a bit excited about sharing AI images
camera words can often protect an image from certain effects
"I have no enemies"
pretty sure SAI said "masterpiece" wasnt required with XL
Yes but often those words are added without testing. Only added as magic words.
i generally use nikon, canon, leica, specific f-stop and lens lengths to help it along, if I am doing something like that
Dog at an art museum
Nothing is "required". But you can fix your seed and see what changing a few words around does.
😂
😭
reps
Wrong one
I think the frog has seen his best days behind him
more spider
ewwww
Looks good
spider fren
that girl ain't happy. I know i wouldn't be
Wow, that's nice. Thanks for note node too!
Im Sorry
Froggy doesn't steal
interesting
Been getting real busy at the office these days.
Looking handsome
Fido's the man! 😄
(He has no license)
really want to use sdxl too 😦
u can use it on clipdroop
Why can't u?
i know but more in a good innovative way , like i did with 1.5
who wins?
zuck
just reaching my limits with the hardware and dont really like comfy 😅
can i send pics with blood with a spoiler warning?
I cant get sdxl to make anything other than black images in automatic 1111. 1.5 works fine I was hoping someone here might have a solution to my problem. I have tried with my 3060 and 4070ti here is my batch script and all extensions are disabled @echo off
set PYTHON=
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS= --api --no-half-vae --disable-nan-check --xformers
git pull
set CUDA_VISIBLE_DEVICES=0
call webui.bat
idk
comfy is okey and its fast to setup
If its bec of comfy just use a example one, for text2img you dont really need to change anything. Hardware wise i think sdxl is better than sd 1.5
I just know some people hate spiders and these images are kinda disturbing
♪ "Rise and shine, at Breakfast Horse we're neigh-bors,
Serving sunny-side up, where flavor gallops and roars!
Clop on in for waffles, dressed in mare-ple delight,
Or canter for our 'Horse Oats'—a morning's first light.
Pancakes prance on your plate, as roosters perform their call,
Our scrambled eggs and bacon canter, at the break of stall.
Bridle your hunger with our Morning Mane Muffin,
At Breakfast Horse, you'll always leave with somethin'!" ♪
Remove --disable-nan-check and see if you get an error about a tensor with alll NaN.
wanna use a good workflow but i cant even get all those stuff on 1 monitor screen, dunno it feels overwhelming
That will happen in time. These are early days for 1.0
tried that as well same result just black images
Understandable, was thinking of sending a picture i created of zombies, but im not sure
also no errors just black image
comfy has examples u can use
But no error about all NaN? Then it's something different from what most people see.
Anyone else feel powerless without control net 😅😅😅
Make sure you are using the right VAE.
im still entertained by the sdxl model without
no errors To create a public link, set share=True in launch().
Startup time: 14.6s (import torch: 3.0s, import gradio: 0.6s, import ldm: 0.4s, other imports: 3.5s, load SD checkpoint: 5.0s, create ui: 1.7s, gradio launch: 0.2s).
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:09<00:00, 2.05it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:14<00:00, 1.42it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:08<00:00, 2.32it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:13<00:00, 1.43it/s]
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:16<00:00, 1.24it/s]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:21<00:00, 1.10s/it]
Total progress: 100%|██████████████████████████████████████████████████████████████████| 20/20 [00:21<00:00, 1.27it/s]
So when I try to load the SDXL model I keep gettin Failed to create model quickly; will retry using slow method. and then my computer turns to glue and I have to kill a1111.... any ideas?
my 1.5 models, even 8 gig models, load fine
i got a really nice workflow but its just too much on one screen and feels just uncomfortable to use 😅
yep checked vae set to automatic
Try None instead.
but with the GTX 1070 its anyway a real struggle
good idea on it
for 1.5 it was fine
understandable
i hope for u that there will be a1111 support fast
Could be version of PyTorch 🤷♂️
set vae to none still black images
kinda wish KI would utilize more the CPU, would be more a upgrade i would do than my gpu 😂
No idea then. Hope someone else can help.
I keep getting the fake version of stuff while you all apparently got the real thing. Your pictures seem to have a lot of detail except for me.
Blood warning, Cartoon (Dont click if you cant see blood or Zombies)
Thats not bad
I might try on another computer and see if its something dumb with this one. I have a 3080m in a laptop that should work
ok, i was not sure
might just get a used 3060 soon, will make everything easier i guess
guess thats the best upgrade for me
I’ve seen worse from sawX advertising
thx for the super reaction <3
3060 is enough for SDXL on Comfy. But not enough for A1111. It will be slow on VAE step.
Yes, my 3070 is very slow on a1111 but on comfy its super fast
Because of VRAM. A1111 needs 16 GB VRAM for SDXL.
has much changed from 0.9 to 1.0?
Yea sadly
i think the training was made easier
or something like that
so that's why comfy has suddenly become so popular?
im pretty sure they might improve it in the future
I hope so. Also hope SAI will release official FP16 VAE for SDXL.
a1111 doesnt have proper support for sdxl yet
And inpainting SDXL model.
dunno AI is not my main usecase, and i dont wanna spend to much money for it
and now that i used it once its so much faster
and for gaming my 1070 is totally enough atm
im always in cpu limit in games, so i just wanna do a small upgrade for AI Stuff
Tried "Duecki" on the license plate, didnt work quite well
I also managed to get a realistic spider crawling on a naked girl, but it took unreasonable effort and inpainting
Mixing Xenomorph alien with Predator gives some really creative outputs for new ideas for monsters.
do u think it would be possible in the future KI Image Generation gets more CPU based?
I can imagine the work, nice👍
No, but I think CPU will eventually have AI optimized features.
CPU is good for doing lots of things complex in a row. GPU is good for doing lots of simple things all at once. AI is lots of simple things all at once.
did you try running a1111 on cpu (if thats possible)
SD on CPU is possible. 10 minutes for one image. Same image takes 3 seconds on GPU.
it takes hours, i was just interested if its possible in the future, its getting faster for cpus
I dont think so, your ram will be used and ram is very slow
A cpu upgrade would be more useful for me in general 😂, than GPU haha.
U cant compare the speed of ddr4 ram and vram
Also because CPU is 4-12 cores and GPU is 3000+ cores.
I want GPUs to end up being basically their own computers, with upgradable RAM, etc, However, Nvidia would rather you just keep buying new ones.
It's crazy that they take high end cards, and laser cut damage them, so that they are slower, to sell them at a lower cost, because it is cheaper for them to do that, than to have another manufacturing processing line and inventory to actually start with cheaper hardware.
However, since the 20 series cards, they have boosted their price, so maybe they are trying to recover the cost of doing that, or maybe they don't do that anymore.
you mean even with 1.5.1 ?
Noice 🔥
yeah it was mostly to see if it was possible. it is, but it doesn't like drawing nipples OR spiders so it needed a lot of help
technically you can add more ram if your savy and have the right equipment
AI is multiply weights and add bias millions of times. Easy for GPU. Slow for CPU.
The Vram needs to be as near as possible to the chip, im not sure if that will impact performance. But still nividias prices are really bad
You can add more RAM to make the number bigger on the screen but the GPU can't access the RAM. I saw the same video.
yeah, but it won't work as intended, I saw a post about someone who did.
im pretty sure intel will get stronge the next years, im allready really impressed by the arc series
oh really i must have not finished it looked like he got it working
Spider warning
it "worked" but didn't "work"
@ornate elk tried it myself, looks terrifying just as yours
😦 yeah, I now have like 1000 failed spider images
like 1 in 50 looks ok
weird, SD XL is letting me do 1024x1024 now. maybe because I selected "Apply color correction to img2img results to match original colors." ? that wouldn't make sense.
or maybe because i remove restore faces, or restarted 10 times, idk, who knows.
It was classic Youtube garbage. On the screen it showed 24 GB, but the GPU still can only use 8 GB. It was only clickbait.
and it can't do certain angles at all
ok its 4:16 am here, really need to sleep. wish u guys a good night, see ya
Yea thats the shared Vram. Your Gpu can use Ram as Vram but its way slower
When you use sdxl you really see what's possible. wow. Now we're playing with power.
I love bugs, so i was generating bugs, then with the spider "spoiler" I remembered that many people do not like bugs.
i need to go off sometime soon too, bye
SDXL 1024x1024
by
german?
Yes indeed
me too 😅
so i am getting that error now rebuilt sd in a new folder modules.devices.NansException: A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.
No, what I mean is the system info showed the card was 24 GB. But the extra VRAM was not useful to the GPU. It was only a clickbait video.
Nice👍
Oh okay
Very strange but try --no-half. You are getting NaN in Unet. Not even in VAE yet.
when the only good sdxl lora tutorial is 3hr training time 😔
its super weird makes black images on the other install and this on a fresh install on a new folder in a new drive
Fresh install with new venv and no extensions? Very strange. Try --no-half.
trying that now
Im not sure what you mean, but SD cant use the shared Vram i think, so if you have 24gb vram together and only 8gb dedicated, sd can only use 8gb
if i use a1111 then yes
Its pretty handy for the Activation Words
are you guys using the lora from sdxl 1 to?
Im not
All Nvidia cards can use shared RAM with the latest driver and SD can use it. But if you solder more RAM on a GPU like in the video it will show 24 GB in Windows but remains only 8 GB usable. Clickbait video.
Does anyone understand why I can render an image in 1280x1280 but then 1 second before it saves the image, it gives and error about "not enough VRAM" and deletes the image?
Is there a way to save the 99.99% image?
Solder VRAM on GPU video = clickbait. Simple as that.
what happens if you go lower than 1024x1024? like 512x768
it looks very bad
Ahhh i didnt know it was about soldering vram lol, my bad
No because the image doesn't exist until it is complete. It is running out of VRAM when converting latent space to RGB with the VAE.
same error no extensions
but the preview exists
So apparently training lora with batch size 1 gives the highest quality but then you're leaving a lot of overhead vram and taking way longer than necessary. I wonder what will come of that
512 vs 1024
The preview you see is an image produced approximately by a neural net based on the latent space.
return func(*args, **kwargs)
File "D:\SDXL\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\SDXL\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "D:\SDXL\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 215, in forward
devices.test_for_nans(x_out, "unet")
File "D:\SDXL\stable-diffusion-webui\modules\devices.py", line 155, in test_for_nans
raise NansException(message)
modules.devices.NansException: A tensor with all NaNs was produced in Unet. Use --disable-nan-check commandline argument to disable this check.
Is there a FAQ somewhere for SDXL troubleshooting ? Having the py.torch error that a lot of people seem to have.
No idea. I hope someone else can help.
it was trained on 1024 so it looks better in 1024
yeah me 2 this is weird
yes
Post the exact error.
confirmed, stuff does look worse at lower resolutions and it seems to need 1024. But gonna try 1024x1536
sorry i answerd to the wrong message, meant to answer to olternaut
Use one of the supported SDXL resolutions. There are about 10 of them.
For SDXL, it is recommended to use trained values listed below:
- 1024 x 1024
- 1152 x 896
- 896 x 1152
- 1216 x 832
- 832 x 1216
- 1344 x 768
- 768 x 1344
- 1536 x 640
- 640 x 1536
These are recommended resolutions
Thanks, you beautiful bastard!
i need to write those down
Copied them from comfy
I've never seen that one before. What version of xformers, pytorch, A1111? (Answer all)
Version is much too old for SDXL. Upgrade A1111.
Might be easier to do a fresh install because it is so old.
I thought the git pull would do it on its own
open the folder in explorer, enter cmd at the top where your path is and type in cmd git pull
yes it should, where did you put the command?
@echo off
set PYTHON="C:\Users\Heidi\AppData\Local\Programs\Python\Python310\python.exe"
set GIT=
set VENV_DIR=
set COMMANDLINE_ARGS=--xformers
git pull
call webui.bat
in the webui-user.bat
thats right
I followed some tutorials few months back but havent touched anything since.
I had to go to releases and overwrite all the files to get SD 1.5.1 to work.
Git Pull didn't work, I tried all kinds of extra commands, like stash and pop and stuff.
I also have to use a 1.x Torch and 1.17 dev version of xformers.
If i go to torch 2.0 and xformers 2.0 it doesn't work, i get a popup error.
so i should delete everything and redo?
Might also need to do --reinstall-torch and --reinstall-xformers (one time only).
Can you copy your cmd at the start when you open a1111?
Is there some kind of error
Easier to start with a new copy because that one is very old.
well I just did a separate install of a1111 1.5.1 made sense really
maby keep the downloded model weights so u dont have to redownlode tehm
open the folder in explorer, enter cmd at the top where your path is and type in cmd git pull
do this?
this is what i have to use, if that is helpful to anyone.
I can't use Torch 2.x or xformers 0.0.20
yeah doing same
i will google, wait a sec (sorry)

Why did you edit those files?
Someone did. Easier to just start with a fresh install at this point.
Too much work to figure out what is going on with it.
try in cmd git stash push --include-untracked
Did you find that by google? It is not the best solution here. The installatin appears corrupted. Best to start fresh.
yes on stackoverflow, it seems like it will remove those changes so you can do git pull
If that doesnt work, fresh install
Will do
did you try git pull after that?
So it does work now?
Sometimes that you find on google is not the best solution. Best to be careful with such.