#✨|sdxl
1 messages · Page 27 of 1
where in the settings? I deleted venv and tried again, same error.
@floral island are you from the states?
from NL
friesland?
nope, the other way ^^ down south
OK, about webp. Firstly, it's only proprietary in the sense that google developed it (from an original On2 video codec); the license is BSD Open.
oh thank god. 😄 just jokin mate
lel
It also delivers better quality/filesize than jpeg, it supports alpha channels, and it supports animated frames. In other words, jpeg is shit in comparison. Just my 2 cents. 🙂
Ah love this diffusion from other inputs ,
Kamitani ATK had similar work around 2010 that was wild ..
— Eg. Using fmri to generate images :
[ https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006633 ]
Author summary Machine learning-based analysis of human functional magnetic resonance imaging (fMRI) patterns has enabled the visualization of perceptual content. However, prior work visualizing perceptual contents from brain activity has failed to combine visual information of multiple hierarchical levels. Here, we present a method for visual i...
oh cool
Its still a brute force process ..
— Plus they used DNN back then :
[ https://www.youtube.com/watch?v=jsp1KaM-avU ]
Reconstruction of visual images from human brain activity measured by fMRI
To reconstruct visual images, we first decoded (translated) measured brain activity patterns into deep neural network (DNN) features, then fed those decoded features to a reconstruction algorithm. Our reconstruction algorithm starts from a given initial image and iterati...
The later " hokusai " works like the " dragon " ..
Plus his animal paintings are staggering in technique. Made me have a renewed appreciation for his work towards the end of his life. To paint the way he did required working backwards from the base layer to the subject. So he had to visualise the entire image , composition , colours and how the paints would bleed in his head ..
— Then also have perfect execution :
[ https://www.britishmuseum.org/collection/object/A_1913-0501-0-320 ]
Perhaps delete Python and redownload (3.10.6 version)
I dont know who from the team is working on the auto 1111 integration but thank you. I love you. The .9 model and even the previous are great and Im having a blast experimenting with it with those tools.
why did you tag me?
Nice, I see quite a few papers using Stable Diffusion with brain inputs recently
Vlad's UI didn't use SDXL properly, it didn't follow prompts. I tried using SDXL on the new A1111 branch, it gives me this error, any idea why??
I'm busy right how but maybe because you are using loras that are not supported for sdxl?
I don't have loras on that UI
Can SDXL create multiple images of the same character
yes
also Vlad's UI isn't as good as A1111, lower image quality for no reason that i'm aware of =\
both fail compared to comfy's ui. for whatever reason, each vlad and auto have set up their ui to use just one of the text encoders. i suspect vladmantic hooks to the clip encoder and auto1 hooks to the openclip
Can someone please help me with telling that
Idk, I don't like ComfyUI because it's not as consistant, and I have to make a new workflow for every image generation. also, it's slower than A1111
i get that. but the technical implementation is the best for sdxl regardless
a jewelry design, jewelry collection, wood, metal, gemstones, future world style, 2030 year, dreamy, rendering by unreal engine
yeah, but it's not optimized. I get ~5it/s where I get 20it/s on A1111, also used same optimizations
you dont have to make a workflow for every image generations. you make a workflow and keep it. hence workflow.
Idk. I don't like how it wants 2 positive prompts, that's weird. and Vlad's UI just isn't as good as A1111
are you remaking a workflow every time you boot it up?
you're getting 20it/s on sdxl images? 1024x?
sometimes i think people just make things up
That's not weird. That's literally the correct way to use two text encoders
It would appear there's a lot about using ai I didn't know .. guess it's time to install confyui
yeah, on an A1111 extension. the only problem with it is that it's not that good at following prompts
Adjust CFG scale
20it/s for 1024x seems made up
it does require a bit of fiddling to get to grips with, but theres workflows you can download and plenty of youtube vids
On a 4090 maybe
What gpu you using
just made a highres fix workflow for wdxl due to the fact its not good at 1024 generation
i haven't built any workflows in comfy. i added roop to one. i been using it to great success
rtx4070TI
It's not really good at anything at the moment, but it was just a test.
also my A1111 is very optimized, took me a while to master
yeah tbh i use a1111 mostly out of familiarity. i know where all my stuff is.
my 4080 is putting images out in 10 seconds in both automatic1111 and comfyui. 1024 proper images.
20it/s for 1024x1024 on SDXL sounds like measuring it wrong
I gor a 3060 12gb (^~^;)ゞ I'm wondering if it'll be enough for sdxl
if you're getting 10it/s then you're not doing megapixel resolution
3080 gets about 3 it/s at 1024x1024
it sounds more like it's completely made up
Idk then, there must be an issue with the extension
Where can I get access to SDXL 0.9 API?
Yeah I want to grab it too and use it on auto or comfy
bruh, well, if the one on HF is fake, then yeah
I got research access, I doubt it's fake
It's probably auto recording it weird
The extension might be using some tricks then that hinder the true capability of sdxl
Is the extension official
I mean someone mentioned it only used one text encoder would that do anything
It's auto1111 nothing is official
what sdxl is fake?
None
None is
i think we've gone a bit davinci code up in here
I think the reading comprehension in ai discords tends to be minimal
I have no idea. I removed it because I couldn't outdo my old 1.5 finetune with SDXL, so I think it's just not implemented properly
Myself included
Well I don't know much about sdxl but if you're getting that performance out of that card it's either something erroneous somewhere or a silicon valley level software efficiency miracle
i couldnt even render a postage stamp at 20/s
I'll wait for A1111 to actually support it in the full release. SDXL on ComfyUI can sometimes outdo 1.5 finetuned models, but requires WAY more effort to get what you want. plus, it's way slower. So I'll just be patient for it to work properly on A1111.
first 6 epochs were at 1024 and then i ran it over night some more at 768
Terran?
the model already has good understanding of terran aesthetics, but my captioning data doesn't hook any of that. i didn't want it to be labelled with canonical names so that the style would be more generalized.
from starcraft
Ohh
what card are you using that you needed to lower res and train overnight?
- why is there always aversion to running style training over night?
Not an aversion, it just takes me at most an hour and a half to train a concept or style with SDXL lora's, so was confused
it won't be faster on a1111, it's probably going to be a bit slower until he implements all the optimizations that are in comfyui
Is it just me, or does SDXL 0.9 look worse with 512x512 than 1024x1024
Like much worse
Makes sense, it was trained on 1024x1024
What's happening to the coyote ? Pantheon? (• ▽ •;)
250 images on this style image set
Is she going to fight ...
Seems a bit overkill but it turned out good so you do you
why are large datasets for styles a bad thing?
heh.. 250 images called large. moderate sized
large datasets in general just introduce more chance for one of the images to ruin things. For LoRA's, the original paper used a small dataset. Finally, captioning that many images takes a lot of time and a LoRA learns well and can extrapolate even with a small number
It isn't bad, just abnormal
512x is not supported
no its not
you can do it but its not recommended
I mean you can make it output 512x512
yeah you can do it but they dont support it
Yes it does
loewst res is like 768x1168 I forget the exact resolution
no one is going to stop you, but it won't be good results
4090 local machine
i can crash my car into a lake, doesnt mean its supported
i think you misunderstood the paper. i often hit this criticism. that i'm using too many images. but i literally see better results with this larger dataset than my smaller one. i have reasons why, but you've already decided that it's a bad thing "according to the paper". And that's not a good way to approach this topic .
"You CAN'T do that" seems odd way to approach research. also, here's the paper. Nothing about dataset sizes in it. The paper was for large language models primarily. https://arxiv.org/abs/2106.09685
An important paradigm of natural language processing consists of large-scale
pre-training on general domain data and adaptation to particular tasks or
domains. As we pre-train larger models, full fine-tuning, which retrains all
model parameters, becomes less feasible. Using GPT-3 175B as an example --
deploying independent instances of fine-tune...
it's weird when people just straight up make things up, like they're chatgpt
No one said you can't bro, stop trying to argue
4090?
I said it isn't normal
Fair, I think 80C for 4090 is hot but not super hot
it's a lot of can't culture going on. and again, you're representing the paper to tell me it's abnormal, when you're way off base here
When I used 1080Ti, I got to 88C
the paper is about large language models
talking about Kohyas paper damnit
1080 Ti was old, I sold them off
lora was never meant for stable diffusion to begin with, yet here we are using it
kohya never made a lora paper
engineers crying in the corner
we're just making things up i guess
Github, sorry my bad for not using the proper wording for you
don't put negative prompts in the positive prompt field 😄
https://huggingface.co/blog/lora this was the original blog about lora on diffusion tech that went popular. it uses 100s of images in it's dataset example
yeah this picture was quite disturbing
i run into these criticisms a lot when i talk about my lab research. larger curated training sets produce better styles. but people come along and tell me i'm doing it wrong , with no good reasoning
no one cares
you made things up and got called out on it. don't sulk
lol I didn't make things up, the kohya paper is linked, no one is backing you calm down bro
Flowwolf likes to come in to channels to cause issues, its his MO
i'm calm. can we just stop pretending that made up informaiton is accurate though?
moderately sized datasets for lora are not abnormal. They're just not what youtubers and lazy tutorial guides suggest
Lol
Yes they work, we said that, agreed with you, and you continue to argue
Model training was made for large datasets, loras were designed for smaller datasets
wrong
I'm slightly curious why you believe this?
I mostly care about small datasets as you don't always have the luxery of a ton of examples to draw from and SDXL learns quickly from a few examples.
This was my point, but the dude likes to argue
i've noticed this too. image sets as low as 6
More data typically means the ability to capture the distribution better, regardless of model parameterization (LoRA, fc layers, hell even SVMs)
move on. you've descended to personal attacks. instead, just don't
lol this guy
I'm literally pointing out what you're doing, that is it. You left the discord because people kept blocking you and now you're back to argue with new faces
And LoRA itself is nothing special, low rank matrices just walk a restricted path inside the full space of the matrix
i've never met you before
So no reason why more data wouldn't help
You have no memory of 6 months ago then
You just lose the ability to model some of the covariance, and the matrices increasingly behave like a diagonal matrix
i replied to you twice. before today. no memory of it though. used logs to look that up. /shrug
no reason to suggest loras are designed for exclusively small data either. loras were designed for LLM
flowwolves were designed for micro datasets
Not replying directly doesn't mean we haven't interacted
Tacos were invented by hitler
Arguing is the cure for cancer
Indiginous people are not native to their land
false information is not being spread
TF is happening in here
Everyone calm down, were here to discuss SDXL and not to personal attack each other, spread some love 
This entire argument that won't stop between flowwolf and Damianos is literally over "false information being spread"
and it wont stop
please stop
youre both annoying
damoniano youre lightweight toxic
Nice hair color
and you have a false sense of entitlement
lol
Everyone, please, let's remember to treat everyone with respect, alright?
Huh
Weird
@rocky geode go fly a kite on the moon winner
Thats not the best attitude to have, since that wont change a thing ever
Literally a bunch of trolls in here this morning, moving on to images
so kite has two definitions
Let's move onto something else. 🙂
Little kids have kites, they fly them in the air.
Prisoners have kites and they fly them to eachother, but their version of a kite is a message written down on a small piece of paper
im not explaining it agaain
Third eye
Soup 
THAA SOUP
Is this in sdxl? If so how do you get the ultrawide images
Is there any training tool for refiner yet?
Yeah it's in sdxl and I use this extension https://github.com/bash-j/mikey_nodes
i wonder what youd actually train the refiner with since it's just there for tiny minute details
People will probably start by using the same dataset as the base model, but will likely find better ways
Ehh specific subjects? How would refiner know it without training?
it gets tricky because theres two models. you could train the refiner on something with a lora but at the same time, wouldnt it also make sense to train the other model on those subjects with a lora? it gets weird since we're juggling loras on two models
It doesn't need to be trained at the same time
v1 may drop with a different structure. loras may end up working with base and refiner. interoperability was hinted at
Has anyone figured out how to prompt a domed helmet visor where the visor is basically most of the helmet?
i havent had any experience with sdxl but from what ive been reading, the refiner isnt really there to make drastic changes to the original generated image, just to add small details
could you show me an example photo?
Oh, i really love how the light picks up on that. Gorgeous, really.
yeah as I understand it, it is only meant to work on the final steps of the latent image
They test with "stage 2" applied in the bots, so mostly likely will drop with the refiner, it's mainly the weight compatibility with 0.9, not architecture, just my opinion through.
Halo example
There's a few science fictions that have these but those keywords don't help either
nothing that I've found anyways
don't care if it's shiny or not, just want the dome
Things like faces of specific persons are barely recognizable at moderate denoising level that refiner typically gets used at, you can try for yourself
ill have a fiddle with it too as im bored
i adjust when the refiner takes over often. it varies from subject to subject. right now i got it set to a total of 35 steps and the refiner does the last 7
I have a work meeting to attend to so I'll be gone 😄
yeah we're thrown another knob to work with by getting the refiner: do we finetune it with whatever subject we want using the other model, do we not, do we use both, do we only use one finetuning, etc
beautiful. reminds me of ocarina of time castles
Kind of depends on the content, like if the person is a bit far away etc
I really enjoy the abstract stuff
looks very gilbert and george
oh, the warping is pretty awesome
i think the trick is to not evoke the person and negative prompt out the features and the model will try and do its best to put the helmet visor in a way that covers things up.
so yeah i think its something thats doable with a lot of negative prompting
(this is 1.5 btw, i know sdxl has different negative prompt rules)
lunk
the manpages of kohya had me scared for lora training. needing to disable the text encoder training made me think captioning was pointless. but it works so well still with unet training only
just a half week of training experimenting on xl and i'm so austounded. it really just feels like it gets a better understanding of the content at a finer grained level
trying not ot be bias with testing but things look promising
drip vader
does anybody have a clue how to reproduce the arcade machine game like Cadillacs and Dinosaurs character Hannah,render as a photographic sexy woman?
Whats different about it?
train a lora
or just text describe her since she's a pixel art girl and any dark haired woman would be a candidate
Yeah I'm thinking 'helmet' is ruining things
evoking anything about the person's face though kind of puts any kind of visor to the back of the generations mind so to speak
how do i change undefined to my sdxl filename?
you need to place the model files in the models/checkpoints/ directory and if you click refresh you can click where it says undefined and you should be able to select it
is it possible to use sdxl for 16:9 and 9:16 images?
You will have lower quality images on average, but you definitely can get good results at these resolutions too
are there any known/popular workflows for comfyui or A1111? I wasn't able to find any so far for comfyui atleast
A1111 is pretty simple as it doesn't use the refiner, just select your resolution and run it. You might need the fixed vae though.
The workflow I use for comfy might be a pain to share due to the amount of custom nodes
My ComfyUI custom nodes and workflow were shared here before: https://github.com/SeargeDP/SeargeSDXL
thanks for your work, Searge! great tools 🙂
hah, I was just using this, maybe I'm dumb but I wasn't able to figure it out
There was a useful custom node for aspect ratio somewhere
There are install instructions in the readme, just remember to restart Comfy afterwards to get the custom nodes
I think that was this one :
https://github.com/bash-j/mikey_nodes
Yup installing is not an issue, I wasn't sure where to configure the ratios
I tested this out, it seems to be working! Thank you 😄 ❤️
@high skiff found an amazing trick to generate prompts
guess what, I had to REMOVE all mention of helmet from my prompt AND put helmet in negative prompt...
not perfect but these are ballparkish
i have no idea what logic makes that work
it's just a visor, I'd love if it still had that tight look with the bottom part of the helmet
sometimes prompt refining is like a cryptic nyt crossword
maybe I'll put 'mask' or something
any estimation to how long it'll take to have controlnet for sdxl?
About 5
They said they were aiming to have them at release or very close to release.
oh sh*t that's great
can't wait
6 days left
Until it's delayed again
💀
Until it's delayed again
If it gets delayed it is probably for a good reason.
should I share it with you?
i know it's a far stretch but is there a method or way to insert "product type" as a variable (which represents the base image) i want to include in prompt to generate the surrounding form it? I'm using image to image masking but i think it could be easy if i tell SD that hey this is the image type (as we did in dreambooth) that i want to generate the background for.
Id appreciate any help on this riddle.
when SDXL releases and the most advanced anime models start using it, I think the jump in quality will be so big that it will change the internet
anything that goes near or over eyes doesn't count. special rules apply.
like try making an eyepatch
I don't know what you're talking about, but if you provide the model of examples of what you're trying to do then you can train a LoRA model to make it more consistent.
Im interested 
open claude.ai
what was the prompt then?
not available outside US/UK
key is "person wearing a full face dome visor, hardsuit" <- hardsuit helps a lot
(and helmet in negative prompt)
ah!
'full face dome visor, hardsuit'
without hardsuit it usually sucks
but hardsuit is what I wanted anyways
these masks exist already
so how hard could it be
copy 400 prompts for this and make a txt file
https://huggingface.co/datasets/Gustavosta/Stable-Diffusion-Prompts
attach the file in claude.ai and ask it to generate prompts based on the data
use a vpn
@sharp robin here you go
run it through clip and see what it describes it as
Yeah I had done it, didn’t help
Even tried Bing img
Is there an A1111 branch that supports SDXL? The one that was mentioned here yesterday didn't work
@hard fractal hey Joe, I've been taking a little bit of a look at the bot today, and I will say it is recently looking considerably better than before. This is at least giving me hope that this delay was worth it, because at first it was pretty yikes haha
With that said, I could only imagine what we would be able to get out of it if we weren't as restricted as we are with the bot, so, pretty curious for that
yeah, the bot is pretty good rn]
Thank you!
it's tough to judge sometimes, with all the config randomization they do. The first leadup to 1.0 had craziness turned up pretty high, it was tough to vote sometimes
I wonder if they are sprinkling in some 1.5 checkpoints every so often to see what people vote
so wait, you need confy for xl?
not necessarily
but it has the lowest vram usage and you can use/control the refiner
also its for 0.9 for now
I think comfy is the most stable and has the correct setup at the moment.
Vlad I think is using diffusers so should be decent as well.
Auto1111 has some weird setup that doesn't fully work.
Does anyone know how can I achieve this kind of results? Which model and settings?
You know what, this is the best execution of this prompt that I've seen so far.
There is always a risk of cherrypicking with just one sample, but this even look better than my pre-0.9 results.
But other prompts still felt better in my pre-0.9 tests.
Like "a storefront with 'Google Research Cafe' written on it."
SDXL team: Have there been any signs of changes in bias in nationality when using generic terms like man and woman using the new refiner?
cant see how there would be an intentional bias. do you mean different races and body types?
takes in internet photos, farts out photos based on that, so GIGO.
I wonder if there has either been an effort to make the output more diverse or it happens naturally with further refiner training.
Is SDXL going to be official v3.0 of Stable Diffusion platform? Also, will it be directly comparable to Midjourney v5.x?
Stability AI has said several times that Stable Diffusion 3 is something else.
like intentially modifing its output to be more inclusive? that's a bit of a weird idea. I mean I get it and how it would be more positive but why should a bit of software do that? Is it something you feel it lacks or something you noticed personally?
@urban fjord So sdxl is like v2.2 or 2.5?
They said they did something to the training to something to create more diversity
Something about a bug in the way they did it before that ended up with more white people than anything else.
It's just SDXL 1.0, it's created in a different way to the other SD models
Originally it was just a bigger version of 2.x, but it grew and changed a lot
I remember talking to devs about it months ago
Can probably do that with most models. I can get something sort of similar in SDXL without much effort
Not inclusive, diverse. You do not want your output to be too similar.
There is no need for you to argue against a question not directed at you.
adding more diverse people into the mix sure, but im not sure if its going to be biased to say, have two people of random genders or ethnicities appear if you type in "couple kissing". you'd really have to cherry pick and force the model to do that by default. there has, for years been an issue of everything being based around caucasian features. I'm not sure how I feel about this or if I'm imagining something different.
What do you mean, that's what discord is for isn't it.
When I've been playing around using Man or Woman still generally generates caucasian people, but it depends on the prompt you use. It definately generates a lot more people with black skin without you having to directly prompt it.
Like if I ask for a Man and then elsewhere in the prompt talk about something in Japan, more often than not the Man will be Japanese.
I've never really noticed that, its an even spread in terms of super genetic prompts for me. but then i use specific prompts rather than let the model do its thing.
It is odd to have to specify an <x> man rather than a white muscle dude being default i get you, but im sure thats also the majority of the trained data.
And nothing about that changes my question if the team has seen any change in diversity of output.
You know what is weird, when prompt say "blonde woman " and instead it generate black women with blonde hair 🙃
There's inherint biases all over the model. These are all the same prompt but with a secondary of "In America, In Japan, In Africa"
I'm honestly baffled by this convo and don't know if im going to end up in some weird cul de sac because of it. It'd be nice if i typed in "man standing in a room" and it was any chance of any ethnicity, bodytype, disability etc. I don't think its a major issue worth a panic over as yet.
Good for you, but there is no reason to rant about it.
are you of the mind that this is a direct line to god? its a chatroom essentially.
I get your point. It's just difficult, because they aren't going to go through an hand tag millions of images, most of them are from online sources. And if you look at how images are tagged online, generally if someone is white, it isn't mentioned. Whereas if someone is a different skin colour, espeically if it's from American Media, it always seems to get mentioned.
This is obviously a small dataset, but I just typed "A Woman Wearing Armor" and got these 4
@eternal fog i am using your workflow, muting the preview images is making the final output worst, i dont want 4 images to be shown on my timeline, i just want the final one, how can I do it?
Just remove the Preview images nodes
ok, will it still work if I just mute them
If it's making anything worse you've probably somehow disconnected a step
pretty much what i get too from non finetuned models. lots of finetunes are trained on swole athletes or kpop stars so they'd be naturally biased. it might be something up for discussion though, but i certainly dont think SD has run afoul of not being inclusive so far.
They were just there so I could track what was happening
Yeah the fine tuned ones are. Most of them I think rip images from Instagram models and the like.
if you ever want to feel self conscious run roop + your photo + a finetuned model 😄
I mean only if you have issues with self esteem, but that's another completely different discussion lol
Its terrible, i dont have a motorbike nor am i in space. its making unrealistic versions of me. 😄
ok, lemme try muting again
@eternal fog using claude.ai generates cool prompts
Werf!
Zoom Zoom
Wow it does an impressive nsx
Maybe more pictures in the dataset of the older. Everyone likes the older one😂
Which was not the case with 1.5.
SDXL surprised me several times with cars.
1.5 base I'm not sure, but finetunes did them fine usually
It messes up liveries a lot
@eternal fog is this workflow all right?
or is it decreasing the quality?
I mean I can't really tell without seeing the intermidiate stages. It's been doing fine for me.
That looks more like a prompt thing tbh
i am just talking about the workflow
the workflow is attached in the image
Does anybody know is 1.0 follows the prompt better?
Or is it more config stuff on the user side
I mean I've found 0.9 follows the prompt fine if you prompt it properly
Sometimes you need to turn up CFG if it's ignoring you
so, does it effect the output?
no
You should probably put something in the stylistic prompt though
so the workflow is perfectly alright
yes
i am not understanding how to divide the prompt
the output is great
It also does stance cars OK not great they look a bit off but super cambered cars it actually knows too. I typed in “clapped out civic” and it gave me a ricer civic, super cambered out😂
General style stuff seems to work if you put it in the positive, unless you want it to take over the entire image. If you aren't sure you can just copy/paste the same prompt in both
You can use the 2nd prompt to give a bit more emphasis as well. For example, I put parade float in both and it actually gave me one.
If I don't put Parade Float in both, it doesn't seem to give a shit that you've put that in
oh ok, would it make it better?
so like a single keyword in the 2nd prompt?
Depends what you define as "Better" play around with it, see what happens.
I'm sorry if this is abrupt, but is this Discord server for people that use Stable Diffusion on its own or is it okay to use the versions that are self hosted?
ok
It's for anything related to Stable Diffusion. This particular channel is for talking about SDXL
Thank you.
@eternal fog do you know how to run multiple prompts at the same time?
so it auto-queue's
Depends what you mean by that
oh
Just put in your prompt click queue prompt, put in another prompt click queue prompt
i have this big list of prompts
I think there's a wildcard type node somewhere
i have too many
@eternal fog do you know "Le Rallye des cevennes"?
I generated these using claude.ai, they are great
No I don't watch a massive amount of modern Rally. Usually watch F1, WEC and GT World Challenge
you could try variations from
Linguistic Positive :
tradional house in urban japanese city in the background in the style of cowboy bebop, anime style
Supplementary Terms:
intricate details, minimal details, calm, sunny day, bright, artwork by jeremy lipkin and giuseppe dangelico pino and michael garmash and rob rey and greg manchess and huang guangjian and makoto shinkai, sharp edges, simple form, 1 0 0 mm
That's where I live, it's pretty well known in France
Ah cool. Only big rally I know of here we have is WRC in Wales
Embarquez à bord de l'Alpine A110 rally RGT du Team Bonneton-HDG avec Cédric Robert et Matthieu Duval pour 14 minutes intenses et le titre de Champions de France Pilote Copilotes deux roues motrices 2022
which one's better?
trying to get my old PC working os I can test the 3090 in it
Wanna see if the GPU is the issue, or if its maybe the mobo
I prefer the 2nd 1 with the 1 person in it
what's the problem?
thats the one with same 1st and 2nd prompt
Everything is the problem honestly, it's so much to explain
In an insanely cut down version, the GPU crashes my computer whenever it's done computing something intense
Just installed a 4090, it's faster than my previous 2060S 😄
It's not a crash because of core clock, and it's not a crash because of VRAM
No kidding lol
Let's see if I need to upgrade the CPU, hope not but you never know.
I mean if it's not the latest gen CPU you'll be leaving performance on the table
Display crash and Windows saying that the card is messing up?
Yeah, gaming performance is not that important so it's the AI stuff
Display crash and blue screen of death
Not sure if the CPU is a bottleneck in SD or the LocalLLMs
It shouldn't be honestly
For gaming and stuff it will be, but not for generations
I mean, it depends on what CPU you have
9700K
You'll be fine with that
It's not going to get you very good performance in gaming, but you'll be fine for SD
They games I play is totaly overkill with 4090 anyway
I would love to be using my new 3090, if it was functioning
Pay attention to PSU. The damage caused by a graphics card under power is terrible, it is sneaky and takes a long time to appear. In this genre, unfortunately.
Capacitors and VRM no longer do their job properly, and no software means to see that
Fair enough, same here, even my 3060 TI I used to have was more than enough for any of the games I play lol
It's not the power supply
I hope you get it sorted soon. It's not fun not to have enough hardware to troubleshoot on.
Agreed
I had to replace the PSU and chassis, too little power (550 -> 1000W) and too little space.
I have until August 8th to get this GP working, otherwise I have PayPal on my side to dispute the transaction already
But yes, I can confirm that it isn't a power supply related
It's not driver related, it's not temperature related, clock speed related, software related, BIOS related, VBIOS related, RAM related
I have a huge list of exactly what it's not
Compability or just plain semi-broken.
At this point my guess is either the core files of window on my computer are ruined, or the GPU is just flat out dead
what is your GPU?
There's a possibility that it could have gone bad in the handling or shipment too.
Zotac 3090 Trinity OC
Hmm, it's not a badly designed version
The air I am receiving in blue screen is basically synonymous with a dying graphics card, but all of the things I have seen on the matter state that if that's the case, then it should be failing when clocking up, not clocking down
My GPU will be rock solid for hours and hours while sucking almost 400 Watts of power, and have absolutely zero issues
And then within a couple minutes of the training finishing, then it blue screens
It only ever does it when it's at idle
If your older GPU works and this does not, sounds to me like it's broken.
Since you have ruled out power supply.
Both of my older GPUs work, so it's very confusing
totally disagree, a BSoD can be software, it can and, and often is also caused by disks that are failing, like shitty SSDs.
However I have talked to some people who have been in tech for a long time, and they have stated that there could be a problem with the motherboard, and this GPU is just more susceptible to it
All of this stuff is brand new, and it all works with every other graphics card I have so, it's not going to be that
It's not software cuz it's a brand new install, and I've redone all of the drivers several times
Yeah, motherboard usually one of the things that breaks first.
I did buy the motherboard certified renewed from Amazon from their second life program, and it does come with a full month warranty if something does go wrong, so I'm kind of trying to see if I can get either of my other graphics cards to trip on that motherboard
All I want is to be able to use this GPU to work on SD
But I don't find it plausable that it's the moderboard that's broken now.
If you manage to systematically reproduce your BSoD, you have to start with a minimal config, and try to reproduce the same bug, replacing it piece by piece.
The problem is that it's very inconsistent, the only consistency is it does it when the GPU is at idle
Sometimes it does it right as my computer gets into boot, sometimes it does it hours later
Sometimes it crashes so hard my GPU falls all the way off the PCIe bus and I have to trick it to read detect it in the slot using BIOS
What stop faults do you get when it BSoDs? Same every time?
Last I counted, 63 blue screens of death, every single one of them the exact same error
I did get one different one actually, but I think that was my fault for booting the computer weird
I think it was some form of issue with the XMP profile I selected, and it defaulted back
I'm currently trying to figure out why the hell it's taking so long to make a Windows install USB
It's consistent, that's good. Probably not memory related.
It's been working on this bad boy for almost 30 minutes, and it's not even done
Once again, the only piece of hardware that it's going to be is the motherboard if it's not the GPU, because everything else works perfectly fine with the other two GPUs
And also, the issue always states that it stemmed from the graphics card, now that could be something else like the GPU triggering that, or it could just straight up be the GPU
Sorry if it seems like I'm shutting everything down that you guys are suggesting, I've just been working on this for over 20 hours A cumulative across several different communities, and we've all ruled out a lot of these things
I have new theories to test with SDXL LoRAs but the problem is is that I can't run them until this GPU is working
My homework flow research and everything is on pause as well, I'm barely even halfway done with my documentation because of this
Hard to believe it's anything other than the GPU
I agree, however, once again
The error that is associated with GPU death is the one that I'm receiving, however my computer falls out of the criteria of which it's true in
Normally, it happens instantly when you try and have your GPU hit higher clocks, as the GP was dying and can't sustain those clocks
But I've gotten an almost 200mhz overclock on this GP and had it run for hours with no problems, it only happens when the GPU down clocks, which is not consistent with any body I've talked to
Yeah, but I guess a GPU can fail in different ways so I would not be worried about that.
Yes, but also kind of no
I mean, I personally can't think of any situation in which a GPU loses the capacity for its silicon to be low clocked, but only after being high clocked, but not having it related to power, and not benefiting from an overclock/under clock
It just seems to turn off, not related to any specific clock speed or power or anything
Is this thing still under warranty?
There's the idea that it could potentially be the VRAM, but the VRAM would also fail at high clock speed, not low clock speed
No, there's no way to get warranty on this GPU unfortunately
Although I can likely get my money back through PayPal, as I've already submitted a claim
Should get that sorted, once for all.
Is it normal that a GPU change changes the generated image? All things the same except GPU. I'm running with xformers disabled in both cases.
does anybody know what happens with a prompt in ComfyUI if you exceed 77 tokens?
the extra tokens get encoded in another block and that block gets appended
Was just searching for what you said about it yesterday 🙂
ah - gotcha. thank you, comfy!
ComfyUI uses CPU for randomness and not GPU. Auto1111 uses GPU for randomness I think so there you can get differences.
since I only know how it works a bit in a1111 before SDXL, in ComfyUI I suppose the negative is separate from this and what about CLIP_G and CLIP_L? will they be summarized or does each CLIP has a 77 token limit?
This is in ComfyUI, just replaced the GPU.
Maybe it's some setting in Comfy that changes based upon GPU resources
each clip has a 77 token limit and the embeddings of each get appended so instead of 77x768 and 77x1280 it becomes 77x2048
thank you! much appreciated
which sampler?
Got a new PC and got ComfyUI working with SDXL 0.9, so that I can test how RAW paintings look without refining or any other enhancements, and they are good.
maybe its the refining process that makes them look much softer and everything
these look as good, if not better than 2.1 paintings.
holy crap
can someone link the post about the various resolutions corresponding to different aspect ratios for 0.9?
the resolutions in the paper are different from the ones used in the bot
if you use ComfyUI I can highly recommend Mikey Nodes by @west breach https://github.com/bash-j/mikey_nodes. it includes an Empty Latent Ratio SDXL node that has many presets build in for it
if you don't use ComfyUI here is the list of presets that should fit inside the model's 1024x1024 resolution:
1:1 [1024x1024 square]
8:5 [1216x768 landscape]
4:3 [1152x896 landscape]
3:2 [1216x832 landscape]
7:5 [1176x840 landscape]
16:9 [1344x768 landscape]
21:9 [1536x640 landscape]
19:9 [1472x704 landscape]
3:4 [896x1152 portrait]
2:3 [832x1216 portrait]
5:7 [840x1176 portrait]
9:16 [768x1344 portrait]
9:21 [640x1536 portrait]
5:8 [768x1216 portrait]
9:19 [704x1472 portrait]
thanks a bunch!
Mikey Nodes also features an additional Custom Latent node where you can enter your own image size and aspect ratio and it will make it fit under 1024x1024.
you can also add your own ratios with Mikey Nodes by placing a user_ratios.json in your main /comfyui/ directory. these are my own custom ratios and sizes I do experiments with - all higher res and out of 1024x1024. you will get lots of non-coherent images with those, but if it converges nicely the fidelity and details of images can be really good
Masslevel Experimental Hi-Res SDXL image sizes for Mikey Nodes
on windows?
a second hand Nvidia GTX1080ti for under £200
I haven't tried yet; I just want to know if anyone else has had luck running sdxl on an 8gb amd card
I heard 16 gb were necessary, but I was hoping I was wrong
my guess that amd card isn't best option to take step into generating images.
you can google: rocm, stable diffusion or visit r/StableDiffusion to find out how many troubles users get while trying amd card.
tho i must admit rocm 5.6 looks promising in terms of generating pictures.
my bet is that lowsest amount of vram is like 12 GiB
@visual glade Hi, i just got a 3090 what would u recommend i do to maximus speed / results for ur ui for SDXL?
currently getting around 3.6its
for 1024 img
for what resolution
batch size, used sampler
try add to params ``--gpu-only`
Careful, you need a 24GB GPU for that
Not sure what they have
Just popped in
3090 is 24gb
Cool, you do have a 24GB
GPU only is way faster
The difference was more than 2x as fast as my 3080 when I went to a 3090
Just cause of GPU only
yeah, i am chiiling in channel for a bit, so that's why i gave such advice to happy owner of fresh 3090 😄
I have a fresh 3090, but it's likely dead ._.
should look into more GiBs if you itend to use gpu more for generating images
dead from inside, because don't want to generate cool images -- only dlss ones? 😮
Dead from inside, likely
Still desperately trying some extreme measures to really determine if not, but it's very likely
Dang, that sucks
so, on serious note, it's hardware issues?
Likely, but I still have a few things to rule out
meaning need to return to manufacturer to switch (forgot thow it called)
Yeah, it does
The seller is working with me hand in hand to try and figure it out, obviously he doesn't want me to RMA, but he has until August 8th to figure it out
If he doesn't, PayPal is going to get my money back for me
atm i am on 6700xt (xfx) and on linux and i can't say that i have pleasant experience with SD
That sounds like a tricky claim to handle lol, would not wanna be the guy in charge of that one. The GPU was working when you received it, hard part is how much of it was failing and how much of that the vendor was hiding
Within less than 1 hour I got my first blue screen
And I have screenshots of when I originally messaged him asking if he had ever had issues with that before
And I also have 63 blue screen of death events logged in my Windows event Manager if they want to see them
coil whine is problem for most of gpu nowdays ^_^
Ooooh you have a paper trail, that's good
yes, i am talking about amd cards, cause i switched on them for some quite a while
absolutely, because i am making quite setup
why is it 5s/it on my 3060 12gb sdxl 0.9??
re the partial diffusion, for the Comfy KSampler Advanced, is the End_at_Step inclusive? Or exclusive? like if I wanted to split 30 steps, would I do (just example): Start 0, End 25. Start 26, End 30. OR: Start 0, End 25. Start 25, end 30? or end 31?
Been searching for a while but not sure where to get help on SDXL "error loading model weights" on Vlad Automatic install on 4090 system with 128gb ram. Any suggestions?
Does 0.9 sdxl run (start) on rtx 4060 8gb ?
Start:0 end:25, refiner- start:25 end:30
ok thanks
the 4060 does have a weaker memory bandwitdh, so that might hurt the speed, but it should hopefully run
which sampler, and noise schedule are pple having the most luck with? or what is meant to be used?
DDIM, DDIM uniform for most cases is a good safe sampler
I'm trying out the karras scheduler
it makes smoother results as expected, not sure if it's objectively better
Another solution at a similar price would have been 3060 but, 4nm sounds great on 4060
Karras - Right
ddim_uniform - Left
4060 has a ""generational leap"", it's easier on the energy bills, but the memory suffered
like 3060 12GB both has MORE vram and STRONGER vram if I remember correctly
hmm, interesting
just run it normally and yes you can use --gpu-only for slightly lower gen times
I guess I'll keep on using ddim uniform
@visual glade where do I put command line arguements like --gpu-only?
Can you take a screenshot of an example?
also is there a way to set a specific IP instead of localhost?
Like this...?
yes
When I want to close Stable Diffusion, can I just close my google tab or I need to do something in my command panel ?
probably close the command prompt
O
@visual glade I'm not sure if I have this setup wrong but going from prompt to upscaled image with my RTX 4090 takes about 10 minutes... Is that normal or do you think something is setup wrong?
can you load lyco on lora node?
yes
That Ultimate upscale node does lots of 1024x1024 passes in tiles over the image you've upscaled 4x. I'm guessing it's just doing load of passes, which is why it takes so long.
you are upscaling to 4096x4096 so
Try increasing the tile size, then it won't have to do as many passes
so maybe a 64 or 128 tile size?
upscaling to 4096x4096 at 50 steps is going to take a while even on a 4090
That would be even worse, make the tiles bigger so there's less of them
Or just don't use the ultimate upscale node
You could just upscale and then pass to Img2img
That's what I do and it can do around that size in a couple minutes on a 3080. So 4090 will be able to do it easy
This is what it goes through with just 1 image
Yeah because of the tiles
And yeah 50 steps is rarely needed
which also will make it take longer
Yeah 25 seems to be a good step spot.
With tile size be a little careful you don't go too high, as it will take longer and longer for each tile. And you can start getting artifacts or extra stuff in your images.
I upped the size to 2048 each just to try... I was already getting extra stuff in the images and sometimes banding.
you have to zoom way in to see the extra stuff but the band is usually right across the middle
Can you upload an image that you did with your workflow?
Yeah, or alternatively, just stick it in a KSampler and do an img2img to try clean up any edges
My workflow is a mess, but sure.
I just wish I could start with a 40964096 generation. and not 10241024... no upscaling necessary at that point
hey
Yeah you'll get repeats and stuff then though
just double upscale lol
If you generate at 1024x1024 and then img2img pass at 4096x4096 it should work fine as long as you don't go too high on the denoise. Warning though at the moment SDXL has a tendency to wash out background details when upscaling.
It will make the eyes better, but it will remove skin texture and texture on background objects
scorp you have a 4090 right?
ya but something just aint right. its slooooow as hell
go to dm
How much System RAM do you have?
64gb ddr5
That's not the issue then
with an i9 not sure if that makes a difference
same
same only difference is prob out gpu
whats you upscale speed for the its when you do 1 batch size
so 1/4th of speed basicaly when double the tile height and width
it took 10minutes 37seconds for that one
as far as i know just 1
Your actual iteration times are like 90 seconds
one image 1024 width and hieght for upscaler and the image resolution for sdxl and 4x upscale is
So where the fuck is that extra time coming from
Is it sitting there for ages once the bars stop moving?
Are you using any launch arguments?
yes
which ones
so I take it the bots are still running a bit slow?
Is it the same without --gpu-only?
I'll take it out and find out
still slow as dogshit on a cold winter morning
check dm
What's your GPU usage look like when it's running
Is there a hard date yet for the 1.0 launch?
it doesnt seem to use it much it goes from 5% to 15% GPU usage and thats about it... Which I also don't get..... With A1111 and the first few itterations of SD 1.5 2.0 2.1 etc it used to use the whole card and I could do a ton of shit... with ComfyUI I like the results with SDXL but it is slow as shit.
Just to make sure, you have your monitors plugged into the GPU don't you and not the motherboard?
this is at 20 steps
I have a 47 in ultrawide and yes its plugged into the graphics card... I promise
no gpu usage check the
ok just making sure. I've seen people do that before.
when the dedicated gpu memory maxes out it dosnt necesary increase gpu usage my memory go to around 8gb max but my gpu usage barely change
try removed all the arguments i use none of them
it that one image?
now it seems to be cooking... yes one image
dam
Is this when using GPU Only?
Your eating all your VRAM, so its going into system memory
That's why it's taking ages
is there a way to set specific amounts of vram
i prob go into system memory also bc i only got a 8gb vram card but one image only takes around 300 secs for me
at 4096x4096?
me and scorp uses the same upscale settings we basically got the same workflow
oh ok your using SD Upscale ok
I was going to say there's no way you aren't going OOM if you were running that res through img2img
ye and scorp is to?
yep same setup
I thought you might have been trying it on it's own.
So yeah I have no idea why you are using so much VRAM
Especially without --gpu-only
I dont really know how to mess with the comfyui setup I just get setups from other folks I used to use A1111 that seemed to be easier to work with and not break things
is there a arguement for low vram?
yeah
wait were is your comfy ui stored a hdd ssd or m.2?
I could do vram split or medvram i think..... its on m.2
try medvram
With regards to the negative and positive aesthetic scores, what does it mean to set a low or high negative ascore?
i have no idea tbh
Not a lot really that I've noticed
I think it's supposed to do something to clamp the aesthetic rating of the refinement
--lowvram scorp try
The only thing I've ever used it for was when I was making an image of a zombie
I turned down the ascore on the positive and it made it look more nasty
Man my eyes are pretty today
I wonder if I could use eyes of people in my family to make a LoRA for detailed eyes
Not sure how I would do that, but maybe
but the negative ascore is especially confusing. Am I setting a lower bound? Am I saying that's the number to avoid? Am I saying 'do the opposite of the negative prompt when ascore is that number'?
take ur camera and just start taking photos lol
remember when those people kept saying img2img doesn't work
It's not that easy, other things need to be considered
do lowvram
like
I honestly have no idea. Maybe it's like anything negative would be below this score or something?
That would be interesting, if it was like 'only apply negative prompt below this ascore'
With lowvram argument
I don't think that's listening to you
lol me neither
are you using the docker or docky thingy
nope
Guys, do u know if it's okay to release a 0.9 SDXL LoRa?
It does go a lot faster now less hanging and only took 146 seconds
change tile back to 1024
trying it now
So is mine lmao
when i change my tile size to 2048 i do 3s a it
I would need close up images of eyes, but I wouldn't want the LoRA to produce super up close images of eyes
So I would need an appropriate dataset of close, medium, and far for just eyes, encompassing different colors and shapes and stuff
My mom and I have very uncommon eyes, in 2 different shapes, so that could be cool maybe
But the biased would likely push the images to look like us
Okay so that was even faster:
try 512
My eye
My mom's eyes are a very similar color, but she has much rounder eyes
My camera makes my eyes look crusty lol
maybe they are
I'm curious about what other people have set here:
This camera way over sharpens everything up close lol
one sec ill check
I mean that's for system memory which you are no where near maxing, so shouldn't be a factor
Also Windows gives you a big warning if you run out of page file space
how much RAM do you have
whats your ram speed and ram ordering as in 4 16gb or 2 32gb or 1 64gb
2 x 32 DDR5 at 4000mhz
what ram did you buy do you remember the amazon listing?
I got it from bestbuy... Im checking right now.. I thought it had an xml profile for faster speeds than what its using now
it most definintlly do that why im asking you have to go into your bois and enable xmpII
Ya maybe it reset to factory the last time i flashed the bios
Time to restart and fix that profile
xmp
CORSAIR VENGEANCE DDR5, optimized for Intel® motherboards, delivers the higher frequencies and greater capacities of DDR5 technology in a high-quality, compact module that suits your system. Tightly-screened high-frequency memory chips power your PC through faster processing, rendering, and buffe...
thats what i have i think
well when I bought ram It was like twice that price.. It was peak covid price gouging
That feels really slow for DDR5, are you sure it's not DDR4?
windows default ddr5 speed is 4000 i think
It was some of the first ddr5 that came out
This is way overpriced, I got 64 gigs of RAM at almost the exact same spec for 160
I should probably replace it with newer ram
i didnt care about price i did my motherboard and cpu and ram and coolor all same day shipping
were?
Ah, price went up
TEAMGROUP T-Create Expert... https://www.amazon.com/dp/B0BPHSL93T?ref=ppx_pop_mob_ap_share
Still less tho
mines 6400mah
This is what I paid at the time I bought it and its way worse than I remembered it being
my speed is 1200 faster
im running at 6400mzh
Mine is 6000
i could prob push mine more never bothered though
Not usually much of a benefit on Intel honestly
Did you guys see that price?
Its 159 right now for the same thing
Overpriced Imo
I cant believe I paid over 500$ for that RAM at the time
Have you guys had the chance to try the UniPC scheduler?
It is better than DPM++ for me
is there a DDIM_ETA setting in Comfy?
Hi can you resize the sdxl models ? i cant use them its too much for my system i only have 6 gig vram 😦
You lose quality if you don't use 1024x1024
As in the pictures will come out worse in my experience
think they mean prune
i cant even run it 😦
Are there 8bit variants of SDXL?
No but you can half the model to FP16
I'm using the 4090, so I use 23GB ram with 1024x1024 with pytorch compiled fp16
Diffusers library btw, no attention slicing
i mean the model size is too much then my vram so my system cant use them at all .
Buy a 4090
I'm pretty sure if you use comfy it should sort it out for you so it fits
i tried to do that get errors too
What GPu do you have and is it a laptop?
Error occurred when executing KSampler:
'
BaseModel' object has no attribute 'encode_adm'
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\execution.py", line 141, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\execution.py", line 68, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\nodes.py", line 990, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\nodes.py", line 960, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 88, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar)
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 583, in sample
positive = encode_adm(self.model, positive, noise.shape[0], self.device)
File "D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 472, in encode_adm
adm_out = model.encode_adm(device=device, **params)
File
`
`
"D:\Games\SSSSSSSSSSS\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1614, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'BaseModel' object has no attribute 'encode_adm'
`
gtx 1060
what are you doing to get that error, that doesn't look like a VRAM error
its not all the error its like 1/5 of it i could not put the whole error here
Where did you get the SDXL Model from?
^
#ComfyUI is a node based powerful and modular Stable Diffusion GUI and backend. This UI will let you design and execute advanced Stable Diffusion pipelines using a graph/nodes/flowchart based interface. In this video I will teach you how to install ComfyUI on PC, Google Colab (Free) and RunPod. I will also show you how to install and use #SDXL w...
If you got it by the way of pirates, that folder is like 90GB
Or like 30 GB if you just use the safetensors
Can you copy the entire error into a txt file and stick it on here?
what do you mean pirates ? dose it not free ?
SDXL 0.9? Nah it is a gated model
the installation page from this video :
https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/How-To-Use-ComfyUI-On-Your-PC-On-RunPod-On-Colab-With-SDXL.md
So everyone sharing SDXL 0.9 weights is a pirate
i downloaded these 2 models
https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9 (you can download safetensors from this link - watch video to learn)
https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-0.9 (you can download safetensors from this link - watch video to learn
it leaked then after they let anyone who signs up for it at huggingface have it
so they wanted to sell the models ?
no it was just released early were still waiting on v1 . 0.9 wasnt spose to be public
nah, just that SDXL 0.9 was research only
what stable diffusion make not going to be free after a time ?
i thought they are just like blender 3d
but if they do its ok 
considering they are hosting an event its more of a push to actually release it? we need more votes!
Speaking just for myself, I'm hoping more people vote for landscapes/objects/concepts, currently showdown & pantheon are dominated by people/people-like animals/robots/monsters
There's like so many robot mechs
Can SDXL currently support model training?
Can lora be trained on SDXL?
no. base models were never going to be charged. a beta version was released under a restrictive license
I like the first one
Lots of fine detail
To be super frank, AMD support for machine learning is still really bad compared to Nvidia
For the least problems, just use Nvidia + Linux
This does horror stuff really well
I don't think I'd be allowed to post it though as it's pretty bloody
send image to me I love horror stuff
just put a spoiler on it and a warning?
Nah, I'll still get banned lmao
hey whats the best way to share my comfyui setup right now on here
the image
no leg
the metadata won't be srubbed?
If you just post the image people can drag that into their comfyui page and it will load your setup
ohhhhh it is in the IMAGE itself?
yep
can also create a json
unless you copy and paste from your browser. i do think that doesn't provide the metadata
can someone look at that and tell me if that is a 'usual' way of doing SDXL
since we don't have the recommended ways yet
plz
take it from your output folder, or you can send the json
image looks great though
looks good from what I see. Some people also use a second positive prompt, the l prompt, for image details, but you don't NEED to
something like that, I don't actually know the specifics myself ngl
I just know that it is used to prompt image details, etc. I'll send the image I just created with the metadata as well, you can see
like a separate prompt box that connects to the clip text encode for the refiner, vs the base
ignore the custom node plugin, it's just an aspect ratio selector. The workflow is based on @high skiff workflow, with styles in a textbox from @west breach
^ @trail bay
ty looking
oh, and the upscaler was put in by someone else. You can tell because I didn't change the name of the output folder lol

