#✨|sdxl
1 messages · Page 80 of 1
ram yeh but you can make it consume 0 vram by just disabling hardware acceleration
don't think that matters. hold spacebar, move your mouse around
wait it did use RAM? ok
can't see, it was deleted.
someone post a server link to here
seem to be a NSFW server or something but I didnt screenshot
no, they def. cannot, thanks for the ping
snipersamir posted invite to a server called "hub-family" is what it was
@smoky patrol dealt with him! thanks everyone
Must be a limitation of using MagicMouse... I also tried out LiteGraphs demo just rule out any issues with my local install.
https://tamats.com/projects/litegraph/editor/
offtopic - but dont accept random invites
that's how you get a lot of private messages about invites once you're on a spam list for crypto people
I do just to watch it happen on my lazy days. Just had it happen.
I've got a hammer, and I know how to use it
TBH , I never vary it and I rarely alter the steps but th enice thing is If you change the steps then anything else gets recalculated automatically rather than having to work the ratios out
but if they promise a free 4090?
11Gb works abosolutely fine 🙂
8gb works, I just have to use tiled vae decode for my last 2x upscale to 2048. Otherwise, I haven't hit any roadblocks
Has someone ever seen a 4060 Ti with 16 GB anywhere?
@soft zealot @boreal bough absolutely embarrassed to share this considering all big number vcards floating through here... but I'm happily running SDXL ComfyUI on a MacMini with 16GB of Ram.
I'm actually continually astonished at how well it's running and the quality of the images I'm getting.
For my purposes, which is mainly just toying around, it suits me.
Easily upscaling to 6144x10240.
I'm not obsessed with the Joker... just works as good test image for me 🙂
gg. I think you win for lowest nvidia card. with no nvidia card 🤣
For reals?
The repository says it's a pickle, wasn't there something pinned before because pickle was dangerous?
yeah
I would stick to safetensors
yep its real and cool
hot damn
Compute
one 8xA100 machine
Batch size
Data parallel with a single gpu batch size of 8 for a total batch size of 64.
Hyper Parameters
Constant learning rate of 1e-4 scaled by batch size for total learning rate of 64e-4
Mixed precision
fp16
for a finetune that is both insane and cool
I think that one is a virus, the huggingspace user looks sus af
new SDXL AIT workflow:
it's real. but its diffusers.
not relevant for A1111 or comfyui
That yellow HF STAFF in all caps, scary!
I think we can trust "diffusers" repo no ?
Somehow I managed to get this working with ComfyUI
https://huggingface.co/diffusers/controlnet-sdxl-1.0/discussions/1#64d48d8fe143badbbafb5b43
yeah. I was about to say give it a few days for a conversion... but hot damn not even 24hours
AIT, ControlNet... exciting!
Still couldn't get AIT to work. The modules is so confusing. Even I manully download the file and modify the code. I still couldn't get AIT node to work.
if you are on linux it's not supported yet
window
there is a new branch for the node that doesn't need complex stuff to set up my workflow
Join us for comfyui ep 2 today 👀
@vale eagle delete the AIT plugin in ComfyUI\custom_nodes and replace with this: https://github.com/FizzleDorf/AIT/tree/sdxl
This was orginally written by: https://github.com/hlky - GitHub - FizzleDorf/AIT at sdxl
Let me try again
Do you encounter this issue?
it appears you are trying to use live preview. the best live preview that works with AIT is the one in ComfyUI manager.
I git clone the repo and switch to sdxl branch
no. you need to start from exactly the SDXL branch. just "download as zip", it will work with my workflow right away- if you use the right live preview or don't use any live preview at all
Still the same result using zip
and loaded your latest workflow
odd. are you using live preview?
that's the only issue I can think might cause this
What do you mean live preview?
I've seen that error before
that tensor is dense
can you go into your ComfyUI folder and than into /models/vae_approx and see if there are any files in there?
unrelated, but i've been using that new preview method in automatic's dev branch, maybe main by now. i lik eit
yes, taesdxl_encoder and taesdxl_decoder
can you share a workflow you used with this
workflow is here
Somehow I managed to get this working with ComfyUI
https://huggingface.co/diffusers/controlnet-sdxl-1.0/discussions/1#64d48d8fe143badbbafb5b43
shouldn't be hard right? the other controlnet i just wired up in comfy and it worked, but sucked
oh no theres all this patching and stuff
i'm relatively new to node workflows / Comfy and have learned to at least ask once before I sink 5 hours and end up wiping slate clean to start over 😄
same old shit i always see whenever i encounter diffusers
delete taesdxl_decoder and it will work 🙂 the high quality previews are currently not working
i still don't understand why diffusers are better from an end user perspective. people talk about them a lot since vladmantic started hyping them for his fork
It is the magic
ehhh. I mean that image posted at the end, literally has the workflow embedded
drag that into comfyui for the workflow
oh, i have it now
i hadn't opened the link , or had more than a sip of coffee when i asked
I haven't used it yet. I only posted the link.
the new TAESD preview. it's quite fast and better looking than approx (imo)
i'm using them right now. on a 4080 though so maybe it's an architectural thing
which one?
on automatic1111
on comfy however, are those canny nodes, is that part of this? https://github.com/Fannovel16/comfy_controlnet_preprocessors
i can't get that to install on my machine
ohhh hey no it's not. it's just in among the default nodes
someone should just rehost c.safetensors cause i'm not into the whole converting diffusers thing. everytime i've tried going that route, i've had to learn how to code and what diffusers are all about. btu it looks like a c.safetensors exists already and the permissive rail-m license is like "yeah go ahead and rehost that brother!"
So i personally vote that it's a good idea
Negative prompt: Mutated. Disfigured. Multiple Limbs. Disfigured weapon/sword.
Steps: 20 | Seed: 468068609 | Sampler: DDIM | CFG scale: 6 | Size: 1080x1080 | Parser: Full parser | Model: sd_xl_base_1.0_0.9vae | Model hash: be9edd61 | VAE: sdxl-vae-fp16-fix | Version: 0a7105d | Pipeline: Diffusers | Operations: txt2img | Lora hashes: "VoxelXL_v1: 796529775279"```
reduce controlnet strenght
theres an option you can add toyour startup (forgotten what it is now) that puts live previews on Ksamplers as they got though the steps, it does eat into VRAM though
we already resolved that issue, he got AIT working on the workflow I made.
base, refiner and controlnet fits into my 12gb 3060 so that's good news
4 GB seems to be not enough for ControlNet + SDXL for now 
can you stop posting these lovelies until AIT support for linux comes out? 😉
tease
it is patched, should work on linux in the same way me and Masslevel instructed them to set it up
weird... usually its the other way around and windows users are left waiting for whats supported on linux already
wait does ait change the output in any way? i thought it just improves perf
every seed changes the output
the vid @indigo carbon posted last night was incredible for the speed, aye
determinism is really just not that important outside of research purposes
actually, good question. I think it makes results slightly sharper and slightly more detailed. not only it's close to tripling the speed, also enhances generations by an unnoticeable amount.
sick
lol i just dug deep into chat to find said video, do you remember which it was?
like if this image settings and seed generate differently on another system, i dont really care. This is a good image.
people get so hung up on determinism but i don't think they're really following the thought through to a conclusion, if it matters or not
even then, in most cases where deteminism isn't kept, the changes are very minor
Determinism only matters when running side by side tests such as understanding the impact of magic words like "masterpiece". Otherwise why try to reproduce someone else's image. The image already exists. If you like it just download it.
AIT doesn't cause degradation, it's reproducible
even in that situation it matters very little. same seed on xformers is fine to get the understanding of how that token affects the generation. xformers is non deterministic, but only barely
thats good to know, but also, it doesn't matter 
Keep getting this error? Tried that SDXL branch also, any ideas? Error occurred when executing KSampler: ComfyUI/custom_nodes/AIT/AITemplate/modules/8ceef4c7e2f3884c7ef7e5834bc1bab9324d4b7f842c343b604839d0a68a4b74.so: file too short
at the end of the day those pixels are hot 🔥
let him cook
Linux?
Yes
seems to work good. getting ~12it/s with it
ah, ok. the file is actually empty. thanks 😄
sure would be cool if someone uploaded this permissively licensed rail-m controlnet as a safetensor for us folks who don't want to create a venv and ducktape together a python script just for one conversion
maybe we could call it c.safetensors because c is for controlnet
although, @urban breach you might be able to resolve this yourself. you can try going to the HF repo with the AIT SDXL modules, then replace them with the broken ones and rename them to what ever the broken ones were named.
oh oops. you're not doing a controlnet conversion
i've got tunnelvision
I tried doing that with the file it was complaining about yesterday and it didn't seem to work, but maybe I need more files
I see. than just wait like a few hours 😄
@trim orbit
not sure if you saw it, so I'll link it just in case
#🔧|finetune message
got a new fun preset going XD
awesome thanks
how many it/s were you getting previously, by how much did it boost for you?
before i had about 6.5s/it. so nearly 100% increase
6.5s/it compared to 12it/s is not a possible difference, do you mean 6.5it/s?
nice thanks! i've only got 16 😦 but i'll explore those settings.
i'm also going to train a lora for someone with the token "toyota" now. because that reminds me of an old handle i had "AtoyotasAtoyota" maybe i'll train me as a toyota token
yeah 😆
oh, nice
people kept assuming i was japanese and getting really racist towards me so i morphed
Sorry if I've missed it, where are these AIT modules/models?
https://github.com/FizzleDorf/AIT/tree/sdxl, put this in custom nodes, load my workflow, boom chakalaka
lol i think i just figured out why i'm always lost in comfy ui when i load it default. sytan's workflow is offset above the framed page layout.
batch size to 1 should probably work - just didn't want to get peoples hopes up without testing
also as of now it needs windows, if you have Linux wait a few hours
theres a joke to be found there about cops and thin blue lines and problems, but i can't suss it out.
i'll buy a 24 and test it
Cool thanks, and I use windows so it's fine.
also, no adamw + full bf16 -> instead adamw8bit might save a bit too.
if it's still over, then text cache will solve it for sure - as it takes away the vram from TE training (so its same requirements as no clip training)
@indigo carbon So looking at your workflow its "just" to put the AITemplate Node between the Load Checkpoint Node and The Samplers (like with loras). I noticed though, that there is also a new AITemplate VAE Decode node, which u are not using. Are we supposed to also use it?
I'm curious to see if text encoder training helps significantly
oh and VAEEncode as well
it does - but it shouldn't be used randomly as there are a lot of taboo words that instakill your training
no, it's a broken node. also my workflow is set up in a way that benefits as much as possible from AIT, if there will be even more breakthroughs, I'll probably showcase it here.
So, I have been w o r k i n g on this document. S o m e of the links are current...messed up, but they will be fixed: https://docs.google.com/document/d/1BxdWqfBJ3QPggHnBCBx3QIkUpHnBWShd_s3zEt2dTLM/edit?usp=drivesdk As I update it, I'll let ya'll know
SUNNY’S SOLID PROMPTING LIST Ahahahahahahhahahaha, have fun :< Last Updated: 8/6/2023 Some of you might recall,not too long ago, that I made two installments of prompting for SDXL, with the first being here. This, dear friends, is the third, and I am about to open this jam jar right open and g...
Enjoy
This one @strong field
I can make a new one, it's faster now
rejoice! for as the night fades away, sunny turns it back into day
i have to download modules manually right?
no. if you get errors it's because you have an unsupported version of live preview
I like the energy in this document
The dawn c o m e s!
Thanks!
MWAHAHAHAHA!
its got those dr frankenstein vibes
"C:\Users\josef\projects\ComfyUI_windows_portable_nvidia_cu118_or_cpu\ComfyUI_windows_portable\ComfyUI\custom_nodes\AIT\AITemplate\ait\load.py", line 76, in filter_modules
raise ValueError(f"No modules found for {operating_system} {sd} {cuda} {batch_size} {resolution} {model_type}")
ValueError: No modules found for windows xl sm80 1 1024 unet_control
latest sdxl branch
Well, yeah, that's me, so there you go, LMFAO
tyvm!
weird. did you make sure you got the latest version of the SDXL branch?
Np! I will be continuing with updates, so you'll know more SDXL things, and I hope you guys will all enjoy and explore these vectors!
OOOOH comfy has a node for loading diffusers controlnets. no safetensors needed
pretty sure
you needed the zip file from that branch. also powershell is funky, I personally like to make a bat file to start Comfy
i knew that too cause i loaded the other depth model from sarge that way huduhh
OH WAIT i see the issue 😄
you are using Cnet
no Cnet support yet for AIT
ooohhh right 😄
I was talking about the AIT repo...
oh shit i got tunnelvission again
shoul;d have gone to specsavers
this has really been the reason i haven't bothered. controlnet will be here any day now
weird also that you used Cnet, I thought you loaded the workflow I built specifically for AIT
This was orginally written by: https://github.com/hlky - FizzleDorf/AIT
nope, that's for 1.5 models. the best current workflow for AIT is likely the one I made specifically for it
It should be fine to git clone the repo and switch to sdxl branch
they already got it working (I think) they are trying to use Cnet on it, which wasn't compiled yet
After 25 minutes and one failure because of bad nodes, I can confirm the ControlNet works, but for now it's on CPU. I'll make a remote copy to the other computer
during the release there was some talk of some slimmed down Cnet models
is that something that is still coming?
ah, you got it set up?
yeah still experimenting with quality improvements, looks like a couple tweaks needed
but initial results are phenomenal
ya if you think this is good just wait til comfy optimizes it himself
no need, I think we already did a good enough job to implement it efficiently. heck, I'm making 4k images in 10 seconds..
haha thats what we said about optimizations in general
then the optimizations between comfy and a1 were easily made plain
yeah it works, but for some reason with AIT for sampling, VAE decode with AIT causes OOM, 12gb is not enough?
lol. we can bug him about it live, today in 2 hours
i think it was joe who said that ppl suggested things and comfy was like "nah we can do better lmaoo"
the optimization improvements from a1 clearly show that and i think he can definitely do a better job in improving the implementation of AIT
not that this implementation is bad of course
I already told you, it's a broken node
I did not fully process your instructions earlier..."move your mouse around". I've only been holding space and trying to scroll left and right. I get it now.
sorry, i missed that
use the arrangement of nodes and resolutions I provided in the workflow, they are damn close to max efficiency
AITemplate reduced 50% time of my workflow.
it's an over 200% performance boost - on all (supported) resolutions
The bottleneck is vae. If we could use the AITemplateVaeDecode and AITemplateVaeencode, it could even faster
not sure of context - but just in case anyone forgot - there's still the fp16 fix vae from 0.9, which will run a lot faster on older cards
the VAE parts of my workflow take a few seconds. we are already getting like 10 seconds per image, speed is what's missing?
ya i was just about to mention this
2k images in 5 - 8 seconds what on earth
what if we go
EVEN
FASTER
I was using my custom workflow built on Sytan workflow. It contains multiple vae encode and decode
Ludicrous Speed.
100 - 8k images every second isnt fast enough!
that is inefficient in my opinion. the workflow I built is designed specifically for AIT. if you use AIT that's likely your best bet
nothing wrong with implementing AIT into his workflow tho
sounds like he did it as best as he could
also this graph from a while ago looks insane
for a100s
12.8x increases for batchsize 1 training lmaooo
woof
jesus they wrote this almost a year ago, i wonder if theres been improvements to it since then https://ai.meta.com/blog/gpu-inference-engine-nvidia-amd-open-source/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog
Hmm @indigo carbon I get this error when using your workflow
Error occurred when executing KSampler:
Input type (torch.FloatTensor) and weight type (torch.cuda.FloatTensor) should be the same or input should be a MKLDNN tensor and weight is a dense tensor
It is because you enabled tae preview.
like me
You can't use preview?
@vale eagle had the same problem, they fixed it
remove files in ComfyUI\models\vae_approx
I can't use the preview with this?
you can if you use the preview of the ComfyUI_manager, works FLAWLESSLY
You could preview but not that one
What preview is this?
i remember reading this, there could be a reason for it lol
different context at the time but could be the same reason
I honestly don't know, but it works, and it doesn't effect speed at all
ok do not accidentally set Keep Loaded to enable
Seems to have a memory leak issue where it keeps loading it over and over
yes, there is a reason I built my workflow the way I did
I'm tired of explaining this over and over again.. can anyone else explain?
I've not seen it written anywhere and I don't see any documentation unfortunately.
your gfx card is designed to do this, youd probly only hurt it if you tampered with it physically or kept using it past the temperatures that its rated for
I think AITemplateVAE is not supported yet for SDXL
it's a broken node, just use the workflow I made in the arrangement I provided it
if there will be more breakthroughs, you can trust I'll update my workflow and share it
Yeah I've got that, was just seeing what the other stuff did
without a doubt, the last commit was an hour ago
AIT custom nodes break controlnet support even without using AIT nodes anywhere, is it known bug?
waits for 2k gpu support
14.28 seconds for regular, 9 seconds with AITemplate. Not bad.
I rarely use Cnet, so idk
cnet for sdxl is giving me that trick or treat feeling
the boost should be even more powerful than that
That's what I'm getting on a 3080
That's just 30 steps on base
oh, 3080- that makes sense. the newer gen your card's CUDA cores are, the bigger the boost you get from AIT.
100%ish improvement on 3060
Interesting, so these modules work for specific image sizes?
yes, what's so special about AIT is that it handles that on its own, and it's not checkpoint specific- it's architecture specific.
So if I want a different image size I need to make my own module then
no, it will do that itself
only canny is out?
Doesn't seem to
No modules found for windows xl sm80 1 2688 unet
2048x2048 is the current max for a native image - at least it was earlier
this makes sense, so yeah, if you do absurd resolutions like that when you can just do half of that then upscale it x2, so yes- you need to compile yourself.
Can't use it with my upscale pipeline then 😦
you can still scale it up after that
Yeah but I run a pass over it with the base, which I can't do. I'll have a look at making my own module.
yeah, my workflow already does that on its own =]
Yeah I know how to do all that, I just had it setup so it would do a base pass to get rid of certain things
The copy of the ControlNet has finished, and having both LoRA and ControlNet seems to work
has anyone run into issues with ComfyUI and Preview Image panels not working? i've spent the last two days doing different installs on Ubuntu in AWS EC2 g4dn.xlarge servers and everything works fine except the Preview Image panel and i can't figure out what to do
also can't find anything on the internet about it
you mean the preview on the samplers?
the speed of generating HQ concepts is uncanny
any preview, ive tried to get samplers working with manager also but that doesn't work either
hq?
high quality i think
have you launched it with python main.py --preview-method auto?
just doesn't show anything
yeah i have tried that
that is only for the sampler previews
the image still saves
the preview image should show up after you have decoded it with the VAE node
yeah i have it tied into the vae decode node, but only save works, not preview
@soft zealot for random prompt, it doesnt log the prompt it fetches?
Do you have Manager?
hmm I run it on Windows. the save image node can also show a preview. maybe it's something related to the gpu driver on linux.
yeah i have manager installed and have it set to auto here
huh, the speed is exactly the same when I run my full pipeline with the refiner.
It seems like the speed it takes to load and unload the refiner kills any extra speed boost.
Do you see the preview at the bottom of your ksampler?
Did you implement the AItemplate to refiner?
no, basically no previews work
Try restarting your instance if you haven't
i've connected to my ui from my mac on Chrome and Safari and from my desktop on Chrome and preview doesn't work on any browser
i've actually fully uninstalled and reinstalled probably 10 times now with slightly different config
Yeah the timings seem a bit variable though, sometimes it's about the same other times it's a few seconds faster
I don't. It worked for me to speed up 2 pass latent with refiner.
I can't wait to try controlnet
I think it might be my 16GB RAM causing issues
^
it starts to pool into your Swap (or 'pagefile' on windows)
when I use both models I hover around 16.5 or maybe even 17GB RAM usage
what is that thing manager
I updated Automatic1111 but I cannot load SD XL model, 0.9, followed some guides
Also seems like img2img with the AITemplate doesn't work as well
The peak is 17.2 vram in my 2 pass workflow
custom nodes?
Does anyone have a benchmark with the AITemplate improvements? Is it really significant or just 10% on a 3060?
Does ComfyUI runs on AMD, RX 6700 XT?
linux?
Windows = directML
I have ARch
ok yeah it doesn't work very well with img2img it seems
bummer
I have 100% speed up in very high steps 2 pass latent workflow using 3090.
Arch Linux
here is a bench on A100
i am seeing 100% improvement on 3090 at least
what is that? care to explain, A100?
a100 is massive 80gb gpu
Do I need to do something to activate it in ComfyUI?
Hmm actually something odd is happening, sometimes it's fine, othertimes it's not.
i noticed that when trying to gen people
still trying to figure it out, not sure if its prompting or otherwise
It was adding this horrible fuzziness to the bottom part of images, but then it suddenly stopped
Yes, the fuzziness was a prob for me on a few gens
I hope someone prunes the controlnet model for sdxl, I aint downloading a 5 GB file 💀
Sometime, comfyui moved the model to ram? and the error prompt said it should in same device. It might due to my workflow
This is why SAI didn't release controlnet straight away and are working on something different.
Otherwise every single controlnet model will be 5GB
why something different, is there something wrong with pruning
It seems Automatic1111 still running on an old Python version, I need to uninstall and install Python again, delete the automatic1111 venv
Sorry for being the dummy to ask, but what does AIT mean?
like the original controlnet model here for example takes up 9.6GB, but the pruned version can go down as low as 728 MB!
not going to pretend like in know: https://ai.meta.com/blog/gpu-inference-engine-nvidia-amd-open-source/
unless they can make a new solution that takes up even less space then idk what's holding them back
the use a neural network to transforms something smart and im lost
Yeah it seems more likely to do it on larger images. Left is with AITemplate, Right is without
it does if you have the txt output working correctly, if you've fiddled then unfiddle
what upscaler are you using
plan to try an iterative upscale when i get the time to sit down with it and see where it breaks
It's a pixel upscaler, so it shouldn't make any difference.
I have no issue with this in multiple gen
was goign to try latent upscaling
I'm trying a different resolution, but 9:16 it does it every time when I pass an image through IMG2IMG
havent gotten aroudn to it
That's always been complete shit for me on SDXL
let me try 9:16
did that, get this message
This program is tested with 3.10.6 Python, but you have 3.11.4.
If you encounter an error with "RuntimeError: Couldn't install torch." message,
or any other error regarding unsuccessful package (library) installation,
please downgrade (or upgrade) to the latest version of 3.10 Python
and delete current Python and "venv" folder in WebUI's directory.```
but it is installing
gotta use 3.10.6 as far as i know
That would run SD XL models?
Tried a 1:1 image AITemplate still does weird stuff. What's interesting though it that the top left corner of the image is fine, but around that gets wobbly
That's what I change it, but it didn't work
Left is normal right is AI Template, look how everything has gone all blurred to the right
i had the manual text prompts in the text boxes, so they might have interfered, gotta test by removing them
_lzma.LZMAError: Input format not supported by decoder
Joy... (From running the custome module)
you download the zip of the SDXL branch?
Now that is a happy accident
v
AITemplate is a lot faster yes, now I just hope Auto1111 implements it too
glad you got it working
yeah, it's so fast I'm generating images like this under 10 seconds
zoooooooom
oh, shit, there was just an earthquake
trying a latent upscale workflow instead of pixel
Well when you got speeds like that, what do you expect?
i've drilled so hard for this. i want to believe i'd run for cover and stand in a structural supported area or hoddle under a desk. But in reality i'd probably post about it online while it was happening
I usually just go, "oh an earthquake".
Then be not surprised why my dogs were acting weird before it
all my life we hear about "the big one!" and how geologic records show there is a megathrust event that breaks the scale, and that we're way over due for one. so while they do always happen here smaller ones, they always put me on edge and got me considering "is this one it?.... nah i'm good"
jesus, this was crazy
If the "big" one ever happens, ain't nothing much we can do. I'm pretty close to Yellowstone. If that goes, it'll just be a lightshow until poof
UT
cause everything will be alaska
haha
impending doom is a fun topic. i got on it the other day acidentally too.
I live along the San Andreas fault line…every earthquake is an “oh shit” moment ha
yeah, there is a giant volcano there waiting to wake up
yeh i'm just a little north on the cascadia subduction zone
I used to be there
everything alright?
SAF
its active it's a wake
she's just hanging out tho
yes, It was just shaking for a few seconds
if I would not be used to it, that would make me feel very uneasy
not really shaking, like, you know when on a roller coaster goes down? similar sensation
low end rumble
that sub sound that can't be heard but plates of the earth rubbing on each other can create
The rolling ones are pretty wild to see if you're outdoors and can see it coming through
your intestines act like an antenna an vibrate with it
science you crazy
@indigo carbon thanks so much for posting on the AIT stuff, just cut things in half, what a win
i cant get people i was getting grotesque level with an iterative pixel upscaler
other styles, 2d, vector art, fantasy do SO WELL
I don't have any issues with generating people.. are you using my workflow?
yes, changed widths and heights
ah, makes sense
ill go back to yours to see if i broke something along the way
Use 576:1024 for 9:16 and do the upscale
I think you can go a little higher. I just have a rule of thumb that the resolution value should stay the same in total, only changing ratio
i'm at the exact place this guy is, will wait 🙂
https://github.com/FizzleDorf/AIT/issues/12#issuecomment-1672155839
I tried 768:1344 but out of context
oh snap, i didnt think about that
i am for megapixel on the first pass. if i do a 2x pass setup then i'll sometimes go around 700k pixels
high denoise on the second pass in that case though.
trained a lora on 50 variations, of the exact same image 🤣
and how versatile is it
?
eivor, a girl standing in starbucks, getting a coffee | eivor, a girl in the middle of a crowded metallica heavy metal festival
hahaha
I mean, it keeps them sane I suppose
eivor, a girl standing at wall street
ahhhh thats more accurate.
in a street anyways. Cool results!
I mean. I'm not sure what I was expecting XD
Really not wanting to post this question since I don't want people thinking I'm into weird fetish stuff. But I'm trying to get a video game Icon for an item of poop.
Not able to get anything, are things of that nature not trained on sdxl?
poop shaped like food. ui asset Trending on artstation, award winning.
voxel syle, lora:VoxelXL_v1:0.9, None a couple is playing game console on a sofa, miniature, tilt-shift, film, bokeh, professional, 4k, highly detailed
ewww poop !? you're gwoss!! ||poop is a palindrome||
i dont think poop would be in.. the training data
awwww my fun poop fact was blocked
as disgusting that is, controlnet would help with that maybe, having an outline of a pizza for example and then just typing poop, but really, that's probably censored out of the dataset 😬... try maybe 1.5 or 1.4
one variation of the original image - so I wasn't exactly working with prime material here 🤣
dangerous fun facts
did you solve it?
😄 thanks for the suggestion, I think at this point I'm just going to hire an artitst for some things 😄
I'm good with python debugging since i wrote a blender addon, let me have a look
negative
stuck at the same place too?
wonder how many people are saying "poop" outloud rn
didn't even start, will let you know if i solve that
eivor, a woman posing for a picture, model photoshoot, studio
What other parameters did you train it with?
#🔧|finetune message
plug and play of my new faces preset
although, I did add keep n tokens = 1
and made sure my trigger word was the first word on all captions of my images
Thank you!
yes, it was auto-flagged and blocked, try to stay away from too explicit language, keep it civil people!
I think one of the LoRAs I trained has "learned" something I did not try to train at all, every time I ask for a car, it's an old car
It's because of the clothes that the "default" car is old?
sdxl tends towards older cars I've noticed
did you train clip?
cause that has a tendency to shift a lot around
you could probably convince people these were controlnets they're so consistent
when i try to have it make real people, it just does the exact pose XD
so yeah. I'm gonna call this the poor mans high effort controlnet
When you dont zoom it look to real
it twas minefield territory. will keep it better
sdxl loras really catch poses from the source so well i've noticed
oops i pasted the prompt in twice on that lol
I set no option to disable it, so I guess the answer is yes
this new canny model from diffusers team is great stuff
--network_train_unet_only
a lot slower so i can understand why stability is opting to explore lighter weight options
This is the thing that was not set
sounds lovecraftian when put that way
On Civi , does the Workflow: 18 Nodes, relate to ComfyUI?
My 4080 is dead
Looks like I'm just watching everyone have while I get an RMA issued
this is so sad
Tried reseating all cable connections, different cables, different monitors. Couldn't even get it to detect. Fans weren't spinning. Power light was on at the cable connection site. Replaced with my old 2080FE and here I am.
wow, this controlnet works great!
I TOOK YOUR IDEAS
you sir are an inspration
its un canny.... 😮 see what i did there? cause it was the canny model that came out
ooooo
Thank you, glad you guys enjoy the workflow I built.
does anyone know if there is a way to get StableSwarmUI to work with an AMD GPU?
Or just any way to run sdxl 1.0 with AMD GPU
install arch
prob best way is via linux
i tried and failed many times on windows, wsl, ubuntu, rocm, HIP
theres directML but its slow and buggy
Wait, how are you using AIT then?
LOL
i pulled out my 6950XT and bought a 3090 FE
Ah, I see.
I was confused because I know as of now, AIT doesn't like AMD
It's the other way around.. in terms of hardware - AMD are not that far behind. But man, their software is a nightmare
thanks for the answer
direct ml might work
it was decent, but there is no comparison to xformers and now AIT
has comfyui added AIT or is it a manual process?
Yeah, AIT is now sooo fast I spend most of my time coming out with new prompts. The generation time is as fast as my brain can imagine stuff
I dont think it came out
canny is out
Oh my.
I'm running batches of simple prompts with no processing and getting such good results. This one popped up in the middle of basically (very innocent) "elf lady reading a book in by a tree"* and it is so... suggestive. In the best way
She's definitely flirting. XD I'm so impressed.
*not the actual prompt
not for sdnext
exactly this, im spending way more time coming up with better prompts
no it's not
the weights are published
It's a it will soon be available for SDNext
i'm using it in comfy right now
is AIT it just for Linux for now or also windows?
right, and will soon be implemented in SDNext, Nowolf
doing a 2x pass with it too
let's see a result
i dont think comfy added his own implementation of it yet, he mentioned it would be something that you just turn on simply as opposed to using a custom node
le dafoe
Just windows, no Linux yet
geeze. again. last time controlnet came out you kept badgering me for more hands everyday insisting it didn't ever work
it works
You said it works, so I asked to see a result/example
keeps crashing at the Ksampler node (windows)
no here
why is that unreasonable? I am curious to see how it works
it's just silly. the model came out and there's people here showing it off all day. and you're like "NO! It's NOT out"
hands are still borked
all this can't and speaking with such "i'm right" about it really make it a problem for those of us trying to spread news that isn't so fake
Preview is on, it's a know issue. You need the preview feature of the ComfyUI manager
I didn't claim it's not out. I correctly stated it's not yet implemented in SDNext
then I asked to see a sample so I can see it in action
i said its out and you started baiting arguments. come on now
sooo in love with this controlnet, results are incredible
it's so hard to get info here when peole like Flowolf attack every time someone asks a question
helps to try to keep up to date a little bit
you dont need to keep diggin the hole, we can move past this in the channel lol
Ill ask somewhere else
setup if someone wants it
you mean this?
There is no hole.
i've helped you for hours and it's always an argument about can't. stop mischaracterizing things
You've never helped me one iota
damn flowwolf, youve blocked people for less
he spreads misinformation OFTEN
i have to counter
Yeah
please stop harassing me. Block me so you don't see my comments. Let me chat in peace.
I've going to have to read this whole thread, so I can understand what I am doing wrong
still insists that hands absolutleyl can't be done right. when we have 100s of examples even before controlnet came out. he went on quite a crusade about how bad hands are and made sure to answer everyone looking for help to let them know how impossible they are
for what it's worth, i didnt convert the pickle to safetensors, it just worked as is
Nope, never said that
as a tutor, he drags people back
I correctly state that hands are often bad in generations
the preview image node is incapatible with the workflow that tdg8 gave us is really all there is to it, he suggests using the comfyui manager to get around it
often jumps at the chance to help those who are looking for help, but douses them with just bad misinformation and a lot of "you can't do this" mentality
nope...I help people with good info, constantly
it's a toxicity that immunity must be taught towards
there is no toxicity.
the key is for people to become aware of the "can't" nature. awareness of it is 90% of the immunity
there is not a way to generate good hands every time.
I get like bad hands every 20 or so gens..
people must be aware of this attack people who ask questions nature. It must be combated and stopped
i started puttin gloves on every prompt lol, helps some
no reason to argue and air this out here-- maybe block one another if you cant see one another's messages without spinning arguments or taking it to DMs if you really would like to. Let's be productive and kind and move about our days.
@gloomy barn @trim orbit
WHAT
I get 9 out of 10 bad hands
depends on workflow ALOT
I am magic =]
I try, but every time I try to ask a question or discuss, flo buries my comments in onstant attacks, constant criticism
block
hey fruit while youre here, completely unrelated to the drama above, is there a new method of reporting messages to the mods? the apps selection menu hasnt been working for a while
seriously. People often have way more success than he's alluding, but he pretends it doesn't happen because of his personal experience. I tried to help. so honestly tried to help him. at this point i feel like it's a bit he's committed to.
/final thoughts
It doesn't matter if I block. My comment/question gets scrolled off the screen
have you tried restarting discord? It's usually on discord's end, and pops back up once fully restarted
restart discord client itself
in this case, I mentioned that controlnet is not yet available - only one model is for one ui. Then when flo said he was generating, I asked to see one to see how it looks. I didn't keep claiming it's not available.
Okay, you two can come back once you're past it and not too emotionally invested
also, @azure oxide
we've been getting reports today!
interesting, so im the outlier 😭
so i'm not sure.. most times it's fixed when restarting the discord client 
in the bot channels it doesnt appear?
let me check
ohh i see. was it simply for the bot channels? it works for me there
I must've incorrectly assumed that it was a feature for all channels
some channels it can be a bit wonky-- but should always work in bot chans!
gotcha 👍👍
Is --medvram necessary for 12 GB on A1111?
Does anyone have any good information or resources on instance & class tokens for training SDXL? I have seen things such as "ohwx" recomended because its unique & 1 token? but also seen people say with SDXL just use the name of the person or something else? really trying to understand better.
You could find more information in finetune channel
thanks i will ask there
Elden Ring returns
Very appreciate your work on prompt engineering. But most links of the document direct to discord attachments which I couldn't open.
As I said, I'll be fixing those--they're just broken for the second, but they all actually work. It's just because I copied some links wrong but I'll be adjusting them.
Thanks for reply. That would be amazing
It won't take me too long--I just gotta go through and find which ones aren't the correctly copied images. (I have all of them.)
All links direct to discord attechments is failed to load. I could only open DS examples
Oh wait. The ds example also is dicord attechments
There are some broken before page 13.
I able to open after that
Strange. There are many that work before that, so I can't tell you why they don't work for you.
But you can see what links I'm working on, but I'll remove the warning when I'm done 🙂
@smoky patrol Roughly checked. Page 6, 7, 10(v4) 11, 12, 15, 18, 19, 20, 22, 23, 24, 26, 28, 30, 31(Marker lineart: 2), 33. This pages have broken links.
Okies! Yeah, it's cuz I accidentally had copied the bot links instead of the DM'd ones, hahahaha.
Ty!
(I'm on page 6 rn; pages before that should, in theory, work)
Your document is a great work. I could learn a lot from it.
Hey all, I switched from A1111 to Comfy last night for SDXL and it's just amazing. I've searched here and Google and I can't seem to find if there's a way to interrupt Comfy during sampling. If so, it seems like maybe it's not a great idea? I'm doing 12 steps at 1024x1024, then sending to latent upscale by 2x and then sample for 12 more steps. If I see in the Image Preview after the first sampling session that it's way off base, I'd like to stop it if possible. Do I need to just find my zen and wait it out?
there should be menu on right with button "view queue.
After pressing it option to cancle generation would be available
Sheesh. 👴 Thanks!
I am new to all of this, just installed Comfy with SDXL 1.0 but I have no idea what workflow to use. The SDXL Examples (bottle) doesn't give me very good photo realistic images. Any pointers?
yeah see the images people are posting, if it's a png in many cases you can drag and drop right into Comfy
like that hazmat image
except you'll have to install a bunch of addons from the manager menu, not sure if you have that yet
Yes, this. Keep in mind that some people have weird workflows that are not immediately runnable, like Flagg implied.
I have manager yes. Thanks, I will try that!
That made it sound like I was saying that you (Flagg) implied that they were immediately runnable. I meant the opposite.
yeah for the most part, if you update comfy and fetch updates with that manager, then install the "missing modules". a lot of the workflows will work. what's the popular one called?
Zartan or something
here it is, this one's really popular: https://github.com/SytanSD/Sytan-SDXL-ComfyUI
if you set things up right you'll be making photorealistic images like this in no time
Not sure if this is the right place or if it’s tech support, but will I know (via console output or other warnings) if I’m running into memory pressure issues, or will things break “silently?”(ie, slowdowns or lower quality output). The TLDR here is I’m trying to decide if I want to seriously consider replacing my GPU or building a new system but told myself I’m not allowed to unless I run into specific issues
First AI generated images was like that, i remember, deep dream
If you run out of vram space to process the image in one go, it will automatically switch to a tile vae process
is it a real image ?
real
nop
What would that look like in terms of console output?
real
real recognizes real
It'll say something along the lines of, "unable to process, trying tiled vae"
Awesome Ty Ty
I know I hit it on my final upscaled decode, so I just put a tile vae in place instead of waiting for the console to recognize I need it.
gives me a few seconds back
like right now it's using it haha
When you can't help yourself and do an img2img of a guy on a zoom call....
we truly live in a society
now i get why ppl said the new version of the little mermaid was bad
Truly terrifying
real
cloudy with a chance of nuclear fallout
AIT VAE decode now doesn't crash but produces black image
Lads, is there an easy way in compy to save a filename as uuid?
Or would I have to code that?
uuid ? What is that ?
Basically random string
dont know,
that's opposite
The eyes are odd.
Use the comfy websocket example on GitHub and use python to name the output with uuid string
So you're just suggesting:
def get_images(ws, prompt):
prompt_id = queue_prompt(prompt)['prompt_id']
output_images = {}
while True:
out = ws.recv()
if isinstance(out, str):
message = json.loads(out)
if message['type'] == 'executing':
data = message['data']
if data['node'] is None and data['prompt_id'] == prompt_id:
break #Execution is done
else:
continue #previews are binary data
history = get_history(prompt_id)[prompt_id]
for o in history['outputs']:
for node_id in history['outputs']:
node_output = history['outputs'][node_id]
if 'images' in node_output:
images_output = []
for image in node_output['images']:
image_data = get_image(image['filename'], image['subfolder'], image['type'])
images_output.append(image_data)
output_images[node_id] = images_output
return output_images
``` and save the image myself?
I'll do it but is there no quicker way?
I'd have to write a propter as well, you can't subscribe to the portal if I query my own prompts.
I know this is their save file manual, that's about it on that front
https://blenderneko.github.io/ComfyUI-docs/Interface/SaveFileFormatting/
That's how I'm doing it for my web app scripts that use the comfy API. If you're have some python knowledge you could probably write a custom node yourself or wait and I'm sure someone else will.
Yeah I can write it but I don't fully know the system, wouldn't I just be able to update the save? Or does everyting have to be nodes?
Sending requests to the server doesn't give me the portal, so saving a file that I prompt with the ws that way woud defeat using the ui.
filename = new UUID4() that's the code 😄
yes and according to WAS this is a bug !!!!
Cpomys OOTB S& R only works with ComfyUIs image save (as far as I can tell) and WAS's Tokens only work with WAS nodes
Its frustrating
https://github.com/comfyanonymous/ComfyUI/issues/1057
https://github.com/WASasquatch/was-node-suite-comfyui/discussions/129
as per title would it be possible to get some Text nodes to allow use of S&R variable insertion functionality please. Even a simple Save as Text File where they could be used in the Path name s...
Yeah that is a frustrating thing, ran into that as well
@visual glade soz to put you on the spot but any comment onthe above please?
hey I've seen that before heh
exposing S&R to all nodes would be so helpful for data processing
Could probably just add a new variable for it in the existing save node, but everytime you git pull it'll probably get overwritten since it's a default comfy node. Could duplicate it and call it something else
Links should all be fixed now 👍
my initial thought was a parser for WAS Modes that could read the S&T and pass them into a WAS Token as thats already quite a wide ecosphere howere WASasquatch is clainming th ehwole S&R thing is a but so he wont hence tagging @visual glade
This is the fiurtsrating part of opensource and github stuff.
Its both a blessing and a bloody curse
thank you for sharing that. I'll have a proper go at it tomorrow 👍
Gotta read more to understand the issue. Hope it's not too bad
All the info is in the two discussions I linked too. That’s all I’m aware of.
why don't my loras work in auto? it spits out thousands of lines in console and then ignores the lora and generates without it
this is my first time trying auto since xl0.9
with sdxl 1.0?
i looked quick at uuid in python. import uuid
str(uuid)
pop that into an example node an you're golden. fire that into save prefix and tada.
Np!
If you have suggestions/things/styles you would be interested on hearing on, let me know
started playing with AIT. It seems to love Euler sampler, but DPM is half speed or less of Euler
yeah, I've not done any detailed runs but I need to test different samplers with AIT for sure
its still fsater than no AIT. its amazingly good
from my first tests I get a 100%+ speed improvement with dpmpp_sde_gpu
2m looks like a winner
it's fast - that's for sure
dpm gpu isnt as fast for some reason
yeah that's normal
Is that in relation to S&R or something else?
@soft zealot send you a msg
no i dont think so? earlier was looking for a uuid in comfy. useful tool but i guess it's not a node yet.
I can't figure out if I like all these prompt prettifiers and things
or if they just make wacky stuff
I told it to make me a meme and it made this
tbh pretty meta because that's how I felt when I saw it
my honest reaction
I might max out the aesthetic score setting to see how that works otu
have barely ever made anything in python, let alone a comfy node.
nice
its pretty straight forward tbh
the node building?
yeh
I was looking at the sample node
i cobbled it from that file
thinking of making a pipe that better suits my needs
I'm currently using refiner pos ascore 10 and refiner neg ascore 3 - getting got results but as usual - it's a work in progress
and/or samplers that can be daisy-chained
seems inefficient to run 10 foot long noodles when I don't have to
how high does it go? I want it so beautiful it sucks
I think 2500
aesthetic score 2500, steps 10,000
I forgot - it caps out at least in the node at some point - or was it 9999?
this is the way
but I could see differences between 6 - 10. so I've been since at 10 pos ascore
supposedly you're not supposed to go over 6 if you want ideal photo-realism
supposedly 
I switch between 8 and 10
negative ascore is at 3 for now in my workflows
I feel like the AI is on a different meme plane than I am
ah a sports car spotted in the wild
so lush
it could be performing on some sort of rain man level meta meme plane that I can't even wrap my head around
those typos. anyway
the latent space is a strange place
I'm also doing weird things with the prompts. no idea how that's impacting things.
that's how it should be. you might find more coherence, push fidelity or break it completely hehe
send pos neg prompts to a styler, have that sent to G, have the G prompt sent to another styler, have that output to L, then back in and styled again for refiner
it probably makes no real sense to do this
love those setups 🙂 it needs to be super simple or I process stuff with very elaborate (and convoluted) pipelines
I just need to find something that trims them when they get too bulky
I like that ape man. what checkpoint/loras did you use?
woo
nice water interactions
melympia
there's a string trim node in the WAS package
I saw that, wasn't sure how it works exactly. I'll build huge elaborate things and then I'll knock them down like sandcastles and start over
also look at those. you can make a lot of string replacements with regex
https://github.com/pythongosssss/ComfyUI-Custom-Scripts#string-function
had a setup with one prompt thing running into another prompt enhancer and all sorts of other things. but it felt like too much so it's gone now
well it's still in the images I made
No matter how much is done in the workflow, everything eventually turns into weights for the model. The question is if there is any logical connection between the prompt and the weights after all of the steps are done.
also tried to work out some sort of cfg scheduling setup, but lots of fail there. I need to figure out what "mimic cfg scale" means
yeah. this is true. haven't ever used that stuff before, so thought I'd mess with it. I have had gpt-4 or short bus bard write me prompts before
exactly and you can also choose from different types of weighting methods. there a couple of text encoders that offer stuff like comfy, a1111, comfy++ etc
I'm surprised no one has introduced a random weights extension yet. That could generate images that would otherwise be impossible with normal prompting.
yeah, I thought about that
I wonder if any smart people are doing this sort of thing with sdxl https://engineering.purdue.edu/ChanGroup/ECE595/files/chapter3.pdf
they use the term "attack" but really just seems like you're pushing the model to weird places
I've seen that paper. It refers to tricking a classifier into misclassifying an image. Not really SD related.
well yeah, but couldn't it just be done in reverse to a degree?
misunderstanding input. it can be done with LLMs
What would be the reverse of tricking a classifier? Making a classifier more accurate?
don't know if it can be done with normal words
Do you mean finding prompts that generate completely unrelated images?
well classifiers identify images right? isn't that just text to image in reverse to a degree?
image to text, text to image
Not really. The way they operate is very different.
The closest analogy would probably be finding some type of prompt that sounds right but generates a totally unexpected image.
well how about the visual transformer model/models? they're involved in both processes right? I mean, I can't say I know the specifics of how it'd work
and it's a thing https://arxiv.org/abs/2208.04135
Text-guided image generation models can be prompted to generate images using
nonce words adversarially designed to robustly evoke specific visual concepts.
Two approaches for such generation are introduced: macaronic prompting, which
involves designing cryptic hybrid words by concatenating subword units from
different languages; and evocative pr...
not sure what you could gain from it
Yes, that's an example of generating images based on nonsense words. I wouldn't really call it an attack though. It's just a function of how language tokenization works.
I don't know why any of them are called attacks tbh
You could give a prompt of sdmlefrjweoijsdfokjoks and you would get some type of image.
unless you're literally trying to do something malicious and damage things
my cat slept on my keyboard once and put in a nice string of randomness. the image it made wasn't bad tbh
Tricking a classifier can be an attack if you can trick the Tesla into thinking that a wall is open road or a car is a driveway.
The second one isn't an attack. They just call it that to get more attention for their paper.
yeah. I'm just curious about the liminal space so to speak. the out of bounds areas in these models that exist but really aren't accessible with normal approaches
like clipping in a video game
I'd have to look at the raw output of the encoder and figure out how to produce random values instead.
I've messed with LLMs a bit and figured out how to bypass a lot of the guardrails and things. but not sure there's an equivalent with image generation models. and it's really not all that exciting
Bypassing the guardrails is more a function of tricking the business logic. There aren't any guardrails in local SD.
it's really not as interesting as I thought it would be. I got bing to talk about sentience. and tell me how to hotwire a car. that was about peak excitement in that realm
And to be clear, not training the model on NSFW content (SD 2.1) isn't a guardrail. A guardrail is business logic that checks and filters the output to avoid getting the maker of the model in huge trouble.
yeah, omission vs censorship essentially?
problem with those guardrails is they're overarching and essentially make the models dumber. not sure how that's going to work out in the long run
well I guess the models aren't dumber. they just have to play dumber
Some call it censorship. Some call it safety. But the difference is between what's in the training data and what's done with the output after it's generated.
The big companies will have models without guardrails, or with their own guardrails. ChatGPT was just a tech demo. It was never intended to be anything more than a toy.
what if we add a monitor software to force all of the gpus to always connect to nvidia db and check if you are not doing anything illegal
Show average people the output from SD 1.5 and they just might vote for that.
is that real, baughn?
Consider the channel I'm posting it in. 😅
Show average lawmakers the output of SD 1.5 and they just might vote for that.
they might or maybe they wont ill ask schummer tonight
Most people don't even know SD exists and they definitely don't know it can be run in an unsupervised unaccountable environment.
A lot of people wouldn't like that idea. They want accountability.
yes, hello, I'm corporate person
id vote for jack johnson over john jackson any day
smile
look at that clean bathroom
Are those the good hands I was told about?
look at legs of the statue
true chad legs
the statue is a wreck
I mean, depends on your perspective
these food images are really getting me hungry
That color palette, yet...that f o r k
using "sdxl prompt styler" forget which node package it's from. anyway, has all sorts of style alterations it can make to a prompt
I think that one was food photography/dystopian/enhance
I don't know what is real anymore
sensei 🙇
Amazing.
Any great warrior is also a scholar, and a poet, and an artist
- Steven Seagal
Stud!
I didn't realize steven seagal was also an accomplished musician
songs from the crystal cave
one of his albums
I feel like the people that hate on it are the people that hate on everything
whatever their youtuber tells them to
It's early. The only reason 1.5 is what it is has to do with how much time and effort everyone invested to improve the capabilities.
The myriad of LORAs, etc...
controlnet
Give SDXL time and it'll surpass.
Alright! Coding is tested and ready for release. 4 custom nodes for inpainting, automatic face fixing, and color transfer
Here's my controlnet if anyone wants it
indeed. it's like getting an untuned supercar or something. but what I really don't get is if people are so disappointed in it, why not just keep using 1.5 and remind yourself it's all free for us anyway.
i think its clear and it does surpass now already
yes
people getting bad results are cherry picking them to say "see!"
they are mad because big majority cant run it
i guess that's anyone's but their own fault
I'm running on a laptop, just barely, lol
like most things in life its all about money
if I couldn't use it I'd probably just not use it. or just use colab or something
as I do anyway for things
https://youtu.be/LJDyr3xiDrE for reference
#blackdogmovie #blackdog #trucks #movie #top #1998 #patrickswize #truckmovie #peterbilt.
Patrick Swayze Talks 'Black Dog' 1998
https://youtu.be/qOT-2xnn8As
I think I saw that movie
If you're going to use an image to show off a model, you'd think you'd fix it up, make sure it was good.
perfection 👌
I want to see the rest of that face
It looks like Segal crossed with Tarrantino
it makes him extra asian in all the pics I've done
try "asian" in the negative
yeah, problem is I just set it to run a bunch and went to do other things. so came back to asian style seagal
maybe it's the model
that's most likely the case
Ive been going through images I made last night. as always, oy those hands
I saw that controlnet is up and running to a degree
for xl
probably lots of vram though
that's exciting news
on comfy right now. The SDNext folks say they will have it working soon
just a canny model but its working well
vram i can't confirm anything. it is slower to use
is it canny or cammy?
what does canny mean?