#✨|sdxl

1 messages · Page 32 of 1

molten gull
peak dove
spring fulcrum
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Family Photo 🙂

timid sonnet
clever verge
peak dove
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Thank you

chrome flicker
#

SDXL seems to do bad in anime character or scene generation, I hope it can have a special anime version with surprise performence like niji jour
ney。

amber fulcrum
dawn field
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Sdxl today?

peak dove
#

2moro 26th

paper phoenix
kindred plinth
peak dove
paper phoenix
peak dove
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What is closest Model I can use to get the MJ Niji look?

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I want to get this look (this is an MJ Niji Creation)

kindred plinth
peak dove
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ComfyUI Prompt = beauty in the style of basquiat, rauschenberg, warhol, hambleton, haring, jessie makinson, richard burlet, inuyasha, john caple, victo ngai

indigo carbon
paper phoenix
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kinda looks a bit jamie hewlett

peak dove
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n Ice

indigo carbon
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its that thing from fortnite

peak dove
paper phoenix
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by niji ish do you mean the stylised background?

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and geometry?

indigo carbon
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time machine

cinder elbow
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some questions:

  1. what version is running on this discord? 0.9 that will be trained to become 1.0?
  2. what are the settings that are used by the bot? steps, cfg... are them listed somewhere?
  3. will 1.0 be released in few days or will be released 0.9?

thanks!!

indigo carbon
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middle of nowhere

kindred plinth
peak dove
#

Hope this'll do something like Niji in SDXL?

ionic dragon
smoky patrol
#

I love all of these

peak dove
#

Getting Niji-er and Niji-er (is that a word?!) 😄

uncut steeple
#

I kinda love this prompt in SDXL
(Forced Perspective:1.2) Unveil a microscopic society thriving within the creases of a crumpled piece of paper. The inhabitants, agile and minuscule, use the folds as paths, navigating the mountainous terrain with their ink-drawn vehicles. Their world may be minuscule, but it pulses with stories writ large

peak dove
barren olive
#

hi can anyone help me to install art diffusion xl 0.9 on google colab?

final sun
#

Hello👋 Do you think that sdxl 1.0 would work with controlnet and deforum at the same time ?

upper sage
indigo carbon
#

happy birthday to someone

molten breach
#

Will there be a separate inpainting model of sdxl when it releases?

trim orbit
#

i made one in kohya's newest version and tested in in comfy. it works there. automatic tries to load it but fails.

trim orbit
trim orbit
# proper sorrel https://huggingface.co/hakurei/waifu-diffusion-xl

Cute thing to note about this project is they got permission to release it under the research license by Stability.

People who think stablity are trying to censor the model in order to oppress humanities and control populations, will conveniently ignore this massive gaping hole in the side of their argument. Or they'll see it and call it fine because it's gaping and they can't understand context.

hoary saddle
# ionic dragon

any chance you could remake that in 1280x512 version could ya? 😉

hoary saddle
#

was just trying to get something simliar on a1111 for the background of a blender scene i'm working on 🙂

ionic dragon
hoary saddle
floral island
hoary saddle
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cant even get an astronaut on deliberate lol

#

1344x768 would probably work fine

#

wanna stick it here

floral island
indigo carbon
ionic dragon
#

@hoary saddle

hoary saddle
#

those are perfect! if you wouldn't mind me using one, i'll tag your social for credit and put it on the art itself friend

#

gorgeous

indigo carbon
ionic dragon
hoary saddle
#

appreciate you kindly! came out great

indigo carbon
patent badger
indigo carbon
#

no funny embeddings. SDXL is by far the best model even without silly embeddings.

turbid osprey
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yo

#

does anyone know a fix to fatal: No names found, cannot describe anything.

eternal fog
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If you want help you'll need to give a bit more information than that. We don't even know what your talking about.

molten gull
young tulip
#

I've noticed that sdxl 1.0 seems to have gained very significant progress in the last couple days, no? Or is it just me? I have been judging many of the generated images every day and hopefully this will play a role in the improvement of the model. I'm sure sdxl1.0 will get better as we work together.

vale eagle
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sdxl1.0 is better than sdxl 0.9 for sure. But I don't think they would continuously update the models during the past few days.

sharp robin
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And those two may be better than 3

eternal fog
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Or they are tricking you and using SD 1.5 finetunes XD

sharp robin
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But iirc they haven’t altered the models

sharp robin
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Would be hilarious tho

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If they used 1.5 as a control of sorts

azure oxide
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as of 4 days ago they havent changed anything, i dont think theyd change anything still

vale eagle
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I don't think there has 1.5 behind the bot anymore.

eternal fog
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I was joking

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But yeah people thinking stuff has changed just shows how bias works

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They get a few images a certain way that they like

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Then they get a different type of image

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"It's horrible"

vale eagle
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may be

eternal fog
#

You can go from a decent to horrible image quite easily in the same seed, just by changing things like CFG, Steps and resolution

jolly creek
vale eagle
#

It is quite hard to compare because you don't know what going on behind the bot. Even using the same prompt, you could get a better then bot image and you also could get a worse than bot image using sdxl0.9.

hard fractal
eternal fog
trim orbit
indigo carbon
eternal fog
trim orbit
molten gull
clever verge
indigo carbon
clever verge
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I'm wondering if it's possible to write back to a field in a custom node, anyone know?

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Selection here should ideally update height and width.

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For flexibility reasons.

wicked frigate
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maybe with like sliders if you selected 'custom', yknow like the good ol

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shame that doesn't exist and i just made these screenshots up, oh well

wicked frigate
#

and workflow and etc

upbeat summit
novel birch
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is there a new release date for SDXL yet?

urban fjord
#

There is a stage event the 26th, if it doesn't get released then we'll probably get a release date instead.

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I hope the wait is worth it and the changes from 0.9 is actually significant.

nimble heart
#

guess I could probably just turn it into a node with 4 int outputs

eternal fog
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I've made a multiplier for an aspect ratio node that was posted in here to do that.

indigo carbon
molten gull
indigo carbon
eternal fog
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In case people haven't seen

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Shame it won't be ready for the 1.0 release though

solar tusk
nimble heart
eternal fog
nimble heart
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real baller move would be the ability to bake a custom node into a workflow so you can redistribute your workflow without them getting the big red

eternal fog
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That's a little sketchy though

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Embedding a python script into an image file

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No thanks

nimble heart
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it'd only be eval'd in comfyui

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could also convert it to bytecode so it can't be accidentally interpreted

eternal fog
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It would still make it more difficult for you to see what it did before running it, although it's not like most people actually look.

#

oooo

nimble heart
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?

nimble heart
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git pull time

eternal fog
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I'm guessing this is so we can do something similar to the [Thing1:thing2:0.5] that Auto1111 has

nimble heart
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yea I was just asking comfy about that yesterday

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or the day before

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something

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time

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do you know if nodes can reference other nodes?

So you can for example make a node that wraps two KSamplers together

eternal fog
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I think there's some custom nodes that lets you do things like that

nimble heart
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I imagine you could shadow the input types and feed it through eval(f"NodeClassName{NodeClassName.FUNCTION}(...)")

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long as you can import the class directly from somewhere

molten gull
prisma wyvern
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I'm running SDXL 0.9 ON Vlad 1111 and after 47min it produced black square 512x512 🤔👎 Now I'm trying 1024x1024 it says 1085min 😱 Anyone had same problem and how have you fixed it??? Btw I run it with different model and it made 1 image in about 40min 👍

eternal fog
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What are you trying to run it on because that's obviously not working properly, unless maybe you are trying to run it off CPU?

prisma wyvern
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Yep on cpu

eternal fog
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Yeah, you aren't going to have much fun with that

soft zealot
#

any news on if any work on SDXXL has started yet ?👼

soft zealot
prisma wyvern
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I'm not concerned too much with time, more confused why it produced black square??

trim orbit
#

precision problems. try using xformers

thin nova
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does xformers actually change anything on cpu

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i expect the only precision available would be float32

soft zealot
molten gull
prisma wyvern
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All I tried to test on was sticker, vector puppy🐶

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Is it possible problem is with SDXL not running well on vlad or a1111?

eternal fog
nimble heart
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I didn't see the actual parser for [token:token:time] in that commit

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unless its earlier

eternal fog
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It's a node

nimble heart
#

Ohhh

eternal fog
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Two Text Nodes, 1 into it's own ConditioningSetTimeStepRange and then both those into a Conditioning Combine

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However @visual glade I would say, these new ConditioningSetTimestepRange nodes. The values on them seem backwards.

In my head I'd have it so 0 is the start of the step and 1 is the end.

So for a full generation you'd have start on 0 and end on 1. Or if you wanted to stop half way through you'd have start on 0 and end on 0.5, but the way you've implemented it, it's backwards, where Start 1 means it will run all the way through all the steps and end 0 means it won't do any.

Might just be the way I think about it though.

visual glade
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oh, yeah it's because the first timestep is 999 and the last one is 0

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so that's why I see it that way

eternal fog
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It's super confusing to me lol

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Works pretty well though, even if I can't get into my head exactly where it's cutting in

visual glade
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I guess I'll swap them then

prisma wyvern
#

Can I successfully generate images 256x256 on sdxl? When I run other models with 256x256 it takes less time 15-20min and than upscale with topaz

eternal fog
visual glade
#

no SDXL only generates images close to 1024x1024

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it works with other res but 1MP is the optimal amount of pixels

eternal fog
#

I'm sort of thinking that you'd be like ok I want this conditioning to start at the beginning so 0 and i want it to stop at half way, so 0.5 on end

molten gull
prisma wyvern
#

Which package will work better on CPU and with what settings? I have Invoke 3.0, vlad, a1111 and ComfyUI

sour obsidian
#

I am the other person that likes it going from high to low haha

eternal fog
#

Lol that just seems completely backwards to me

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I guess you could add a toggle, but I don't know if that would confuse people even more

nimble heart
#

node could have a tooltip explaining why it's backwards

thin nova
#

the debate between "noising" timesteps vs "denoising" timesteps

eternal fog
upbeat summit
molten gull
nimble heart
azure oxide
#

didnt we end up flipping clip skip notation around because the first way made sense behind the scenes but the current way makes more sense

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could be a similar case

visual glade
#

it makes more sense from how it works to have 1.0 as the start but I guess people are more used to 0.0 becing the start

azure oxide
#

ya i remember this was a good explanation of how clipskip worked

eternal fog
visual glade
#

I set the number for "clip skip" negative in comfyui because that's the only way it made sense to me

eternal fog
#

That makes sense I think because your using less clip layers.

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The only reason this is an issue is when I'm quickly trying to figure out where to make something cut in and for whatever reason my brain won't do it when it's backwards

visual glade
#

it's because in python and other languages -1 is the last element in an array, -2 the before last element, etc...

eternal fog
#

I think if your thinking about it from a purely mechanical stand point your numbering makes sense.

But I think if your just looking at the nodes and wanting to make sense of it procedurally, it's confusing.

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I think it's either that, or it's the "Start" and "End" words that don't make sense

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Because in the code you have "start_percent" and "end_percent"

visual glade
#

ok, I see the controlnet extension has it 0 to 1.0 so I guess I have to change it to match since that's the standard

eternal fog
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yey, easy enough then lol

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You can get some really cool effects with this though

visual glade
#

if you update now I swapped it

soft zealot
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having random thoughts/ If there are 11 distinct steps from 0 to 10 and there are 10 distinct steps from 1 to 10 why is the halfway for both 5 ?

eternal fog
inner ruin
#

is clipdrop using 1.0?

sweet wyvern
#

do we have a release date yet ?

eternal fog
lusty raptor
nimble heart
eternal fog
lusty raptor
#

just saw that

eternal fog
#

Going to need some playing with but you can get some cool stuff with this

nimble heart
#

rule 63 saiyan leonidas

eternal fog
#

noooooooo lmao.

I mixed the dog and the woman and it turned him into fur trim on her top 😢

eternal fog
#

That new node is awesome, I can finally get weird coloured skin to work

timid sonnet
primal nimbus
#

sd xl release on 26th event?

heady vale
shy kelp
#

okay so where are we with the release candidates?

autumn forum
#

apperently we are close becuase the bots got updated and we were told to make sure we pick which we like better becuase the outputs will be almost identical to each other

shy kelp
#

where can I go to vote?

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not that it will make much of a difference

autumn forum
#

the bots.. lol

heady vale
shy kelp
#

voted for a few but the images look close to each other.

autumn forum
#

i literally said it would be, pick the best in your opinion. we are deciding on which sdxl1.0 model we get

lusty raptor
sudden cliff
eternal fog
upbeat summit
eternal fog
#

Interesting

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What a strange way to use a bot, what's the purpose here lmao

upbeat summit
#

yeah

eternal fog
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Do they know this isn't midjourney

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They can't even spell it properly

upbeat summit
#

Thank you for the clean-up PES_Heart

trim orbit
#

comfybox i finally got around to making it work. cool.

upbeat summit
eternal fog
#

So if you've used auto, similar to the [thing1:thing2:0.5]

hard fractal
upbeat summit
hard fractal
#

oh that!

eternal fog
#

It's a lot more customisable than A1111 too

hard fractal
#

nice!

hard fractal
upbeat summit
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one of the features I really like. did some crazy stuff with prompt editing TI embeds in SD 2.1. a must-have feature for me 😊

eternal fog
#

The nodes in comfy can be a bit cumbersome at times, especially when you start doing more complex stuff. But there's comfybox that can get around some of that. And from what mcmonkey has been saying I think he has something cooking in that regard.

autumn forum
upbeat summit
#

like [(foo:1.2):(bar:0.75)]

eternal fog
upbeat summit
#

I see. so it's not working like {wildcards} in a prompt field. you need to build that for every range you want to add.

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much more flexible but could get wild if you prompt edit the whole prompt I guess 😉

eternal fog
#

Yeah

upbeat summit
#

maybe a custom_node might be able to integrate it in the same field

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if one would want that

eternal fog
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It's a mess on my workflow, but like this

upbeat summit
#

I see. need to do some conditioning experiments I guess 🙂

gleaming owl
#

is SDXL for auto 1111 out yet? like, not via web tokens, but for me to use my own GPU with"?

upbeat summit
gleaming owl
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damn

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will be real soon though right? Like next few days or something?

upbeat summit
#

that only automatic1111 knows

tribal magnet
urban fjord
#

Maybe the new node is useful, but way too tedious to actually use, while I'm glad to see ComfyUI getting more features, the nodes is holding it back instead of allowing for more complex usage.

upbeat summit
urban fjord
#

The problem is that you kind of need to write custom nodes to make it work well and now you're writing code.

upbeat summit
#

yeah and I think that's okay. you can build a really simple workflow but you can also build more complex ones and try out so many interesting ideas that you won't able to do in tool with a static workflow.

#

I mean it's great there are many different tools. I started with ComfyUI a couple of days ago and I really like that I can build a workflow to my liking

urban fjord
#

The issue is that it is horrible to use for any complex workflow, I've tried. It becomes rigid and failure prone. If you want to develop a custom workflow in a good way your only option really is code.

upbeat summit
#

sure you can always go more hands-on with the tech. but from the current time I've spend with comfyui I'm thinking differently about a lot of the stuff I've been doing before. I mean it's great that there are other tools so you can pick and choose what is important to your own workflow.

high skiff
#

Alright, I think I might be stopping my SDXL research indefinitely

upbeat summit
#

nothing is perfect and I can see limitations in every workflow

urban fjord
#

GPU failture Sytan?

high skiff
#

Yeah, it's back to failures

upbeat summit
#

damn

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power supply?

high skiff
#

It was working fine, one of my temps was hot, I meticulously took it all apart and reapplied everything, even optimized the mounting pressure, now the card is just as useless as the day I got it

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Rebuilt it 4 different times

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Sick and fucking tired of this card

upbeat summit
#

is it your new or old one?

high skiff
#

New GPU

upbeat summit
#

hmmm... damn

high skiff
#

I really wish I could just sell this card off to somebody else and have it be their problem, but that would be shitty of me

urban fjord
high skiff
#

So I should just scam somebody else by selling them a GPU I know is faulty? I couldn't be that shitty of a person

urban fjord
#

Return it to seller and get your money back

high skiff
#

Can't

boreal bough
high skiff
#

Yeah, but I won't win

nimble heart
#

may as well try

boreal bough
#

180 days / as long as you have documented proof

high skiff
#

Already am, but it's just a waste of time

boreal bough
#

I think you wrote him about the issues

high skiff
#

I actually might be able to fight him now that he admitted negligence on his end

upbeat summit
#

if you bought it from a commercial seller the buyer has a good chance to get the money back in a paypal dispute. if you have send the money to a person it would be different

hearty ginkgo
#

Did you try a clean windows boot?

azure oxide
#

ya paypal usually sides with the buyer from what ive read and in my experience (twice) its true

ornate elk
#

is there a workflow for getting past the 77 token limit for CLIP?

azure oxide
#

idk if comfyui does it automatically but you can use the combine or concatenate nodes in there to achieve that

ornate elk
#

I am using automatic1111

azure oxide
#

it should be automatic in that case

ornate elk
#

it's strange, it's not an issue for anything but sdxl

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noep

azure oxide
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oh its for sdxl and a1111 huh
ya thats a tricky one

ornate elk
#

ohh were you talking about 1.5 etc

azure oxide
#

nah the nodes im talking about are in the gui itself, you can create them

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no just comfyui in general

ornate elk
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gotcha

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been using automatic1111 for about a year, but I've been away for a while...are otehrs catching up?

azure oxide
#

comfyui has always been toptier imo but from the looks of it, its coming out on top with how sdxl is turning out

ornate elk
#

orly I thought automatic has always been top dog

azure oxide
#

ya it was always the most popular

ornate elk
#

but again I've been out of SD practice for several months

azure oxide
#

a1111 was pretty slow to implement sdxl

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a workflow for it i should say

ornate elk
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it's not even really implemented

azure oxide
#

ya

ornate elk
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it's clunky as

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moreso than usual

azure oxide
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we dunno how its gonna work* with the refiner model too so its gonna be weird

ornate elk
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I mean I don't a1111 for teh elegance...I use it because it has so many things

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wait is the "refine" process not actually a refiner model?

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that guy

azure oxide
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oh looks like he did find a way to implement it

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from what i read in its early "sdxl compatible" debut, the refiner wasnt working

ornate elk
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yeah. super annoying tho, you have to find the file and bring it back in by hand

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like idk why you can't just copy it from the other side of the ui

ornate elk
spring fulcrum
#

I really like ComfyUI a lot... I have been getting amazing results... It seems way more customizable and I think its the way to go

ornate elk
upbeat summit
ornate elk
#

thanks

upbeat summit
spring fulcrum
#

So actually it can go above 75 tokens. It puts the info into blocks of 75 tokens and appends them..

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It doesnt even average them either which is good because you dont see a drop in impact

ornate elk
#

I am very confused by that thread. First they say that it uses more tokens, then they say that SD can't handle more tokens, then someone asks about that, and there is no answer

ornate elk
upbeat summit
ornate elk
#

seems like it's not a limit if more can be added?

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like, why would a user care about the difference between these things?

upbeat summit
ornate elk
spring fulcrum
upbeat summit
#

it works the same with sdxl in comfyui. I don't know what a1111 does with sdxl. but I would think they handle it the same as with SD1 and SD2

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most users won't care. most users even use more than 75 tokens per prompt

ornate elk
ornate elk
#

(only for sdxl)

upbeat summit
#

well they will probably implement the same functionality they're using for the other model versions

ornate elk
#

off to dig thru the issues list ig

upbeat summit
#

afaik there is no problem using SDXL in ComfyUI right now. at least I'm using more then 75 tokens a lot 😉

spring fulcrum
#

I have some pretty long prompts in ComfyUI... All of the text from those 3 boxes count as 1 prompt

ornate elk
#

and maybe install comfyui...I assume there's no overlap between the massive amount of crap that needs installed

spring fulcrum
#

I actually think comfyui is easier to install and get working

ornate elk
#

oh and one other thing...there's a facility in comfyui to install it on a host and use any client right? just checking before I start to dig. my art slave lives in a closet.

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ah yeah, I see, it's browser based, so this should be the case

spring fulcrum
#

you would have to set the command line arguement to --listen 192.168.1.43 for example so it doesnt use localhost 127.0.0.1 and you can point it at your monster in the closet

hearty ginkgo
ornate elk
hearty ginkgo
#

then you should be good

queen ferry
#

Will sdxl explode enough to make people shift from 1.5 to sdxl?

ornate elk
#

most of the annoyance of installing a1111 is just waiting for crap to download

queen ferry
#

Cause my database seems reaaaaally dumb right now.

spring fulcrum
ornate elk
queen ferry
#

Damn.

ornate elk
#

but I like to make weird looking shit, not glistening perfect waifus

queen ferry
#

Alright time to make a lora list for SDXL now

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Sigh.

upbeat summit
# ornate elk

well it depends how experimental you are and if you want to try building your own workflows, but you can build some really interesting processes in comfyui that help you build very weird looking and cool shit 🙂

ornate elk
#

nice, I am keen

queen ferry
#

So comfyui is better I'm told?

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I have been using a1111 for too long too long to know

honest flint
#

it depends on what you are wanting, comfyui is way more flexible, a1111 is just point and click

ornate elk
#

and yeah I like to get experimental. here's a barbie inspired one

honest flint
#

its like a dslr vs a phone camera

ornate elk
#

or rather barbenheimer

honest flint
ornate elk
boreal bough
#

SDXL in nuke would be a dream come true

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now that's a true node setup

upbeat summit
# queen ferry I have been using a1111 for too long too long to know

give it a try. I've been an a1111 power user for the last year. there are some QoL features and workflows you may have to rethink - some stuff is certainly different or not available yet, but I really enjoy building my own workflows. but that is just how I use it and work with - mostly txt2img.

formal jasper
#

Is rtx 3060ti compatible for sdxl??

ornate elk
#

but I will try

honest flint
#

for me i mainly use a1111 for my goofing off, training prep, etc.... comfyui i tend to use if i have a few images I need to need to iterate on and get super high quality proofs

upbeat summit
ornate elk
#

substance

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bet adobe's working on a diffusion implementation in substance

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but it will be crippled like all commercail models

upbeat summit
upbeat summit
honest flint
#

comfyui is a bit combersome to use when im goofing off... sometimes i just want it to work and a1111 does a good job of that

ornate elk
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I mean, it's kinda pointless to use their diffusion stuff. it will cockblock you constantly

ornate elk
honest flint
#

i just symlink the model directories between the two

upbeat summit
#

photostop's AI implementation is great for fixing things, in- and outpainting, but for creating images it's not so much fun.

ornate elk
#

venv alone was like 25g last I checked

upbeat summit
honest flint
#

goofing off mode... dont want to dig through folders looking for the workflow json... i just want to load it up and click go

ornate elk
boreal bough
#

photoshop is great for real life work situations - since that's what its supposed to do

ornate elk
honest flint
#

if comfyui ever gets a collection of preset workflows similar to A1111 scripts like prompts from text box, outpainting, tiling, matrix's, simple render, i could switch over

boreal bough
upbeat summit
ornate elk
#

even though it's the feel I want often

boreal bough
#

yeah. 'lovecraftian' in the style prompt is the most I go for

cunning geyser
#

Who does loras for sdxl?

cunning geyser
#

As of right now?

ornate elk
#

i find mashing together a bunch of weirdos works better than adjectives. or in conjunction anyway

cunning geyser
#

Just want to ask a time estimate for making a lora if you got 12 gb vram. REM_think

boreal bough
ornate elk
# upbeat summit

that is dope as shit dude, you got an ig or something like that?

cunning geyser
#

12 gb vram nvidia

ornate elk
#

love me some pop surreal feels

upbeat summit
cunning geyser
upbeat summit
#

the word is that SDXL 1.0 will be much easier to fine-tune compared to 0.9

boreal bough
#

^use these settings to get it to work

#

offset noise = 0 (cause then it auto sets it to the correct value)

urban fjord
#

I've managed to train LoRA with fp16 too.

boreal bough
#

its working now? 😄

urban fjord
#

Last time I tried yeah.

boreal bough
#

noice

urban fjord
#

Though my settings gives me 4 s/it because I run out of VRAM.

boreal bough
#

though I'm curious to check kohya changelog if it just ignores the flag XD since the recent code updates have been a bit hacky

#

with fp16 working, it should work on all 12gb vram cards though, so thats good

cunning geyser
#

So this is how I make a lora in generally 15-30 minutes?

hearty ginkgo
urban fjord
#

RTX 3060

boreal bough
#

• good captioning is still relevant
• Dataset size of 30~60 to avoid typical issues. 10 or more will work fine if you know what you're doing. under 10 works if you really know what you're doing.
• set repeat to 1, do 40 epochs. 20 epochs will prob be your 'ideal' lora. so save every few epochs

hearty ginkgo
cunning geyser
#

Can you explain that last one

#

dafuq is setting to 1 and 40 epochs do

#

Dont we want an image to repeat usually around 20 times?

upbeat summit
#

does anybody know a comfyui node that has a text input and saves the field in the metadata? I want to save a processed wildcard prompt in the file.

I build a metadata .txt generator to save the processed prompt in an image companion file, but I would like to have it in the image's metadata as well.

right now only the unprocessed prompt is saved and the processed prompt is lost.

boreal bough
cunning geyser
#

..

#

So wait i just want 20 steps?

#

I do not think I follow at all with this logic, since this seems like so little steps

boreal bough
#

image count x repeats x epochs = steps

honest flint
#

it depends on what you are doing, some lora's i had to bake for 200 epochs, some needed 20

cunning geyser
#

OHHHHHHHHHHHHH

#

OK OK my bad

boreal bough
#

keeping repeats low, only helps you save the model more often. so you can save it like every 2 epochs, to later compare results

cunning geyser
#

So basically I don't need to overdo it with steps like 1.5?

#

I can just do 20-200 steps and im fine with lower end based on complexity of design of character/idea?

boreal bough
#

exactly

#

1.5 needed precise acupuncture.
sdxl can take shotgun treatment XD

cunning geyser
#

So 20 for a simple char -> 200 for a stupidly high accessory char or style based gen

honest flint
#

the 200's tended to be multiple object lora's

cunning geyser
#

Yeah like asset based world morphs is what i mean

#

or style based on artstyles in case

#

Gotta make sure it do be accurate or like it

#

Tyvm for the help on that.

#

Kind of have to fall behind since I have to work on the lora database/spreadsheet of all 1.5 loras

#

So i'm trying to ge tin as much sdxl prep i can while listing

boreal bough
#

as long as you stick with the settings I gave you, same steps regardless of complexity. steps only need to go up if you use significantly bigger datasets - which can be used for training multiple concepts into 1 lora

hearty ginkgo
vale eagle
high skiff
# thorn lion noooooo

Things may have potentially just changed, I have a possible opportunity to get a different 3090 relatively soon depending on my luck in sourcing sellers

cunning geyser
#

Wait now i got a question

urban fjord
cunning geyser
#

Wait question

#

Though this is moreso for lora training

#

How do people do a certain tag for the dress of a character vs a tag for the character itself

#

Cause its weird how some people can 'tear' them apart and make one usable on another character.

boreal bough
#

have a dataset of multiple people wearing the dress, then do a trigger word for the dress, shuffle the rest. Make sure the 'person' is mentioned in the shuffled tags

#

if you want to train just the dress from one person, then do the trigger word for it, do not mention the person, nor any body parts, then ideally you'll get just the dress in the lora is sdxl

#

if it works on the first try, good. else tag the clothing pieces that didn't get absorbed into the trigger word. (like specific boots)

#

fyi, if you tag the boots from the start,then it will almost never be absorbed into the trigger word

vale eagle
#

As I know, the trainning dataset separated into multiple subset. 1_dress, 1_swimming_suit, 1_fullbody something like this.

boreal bough
#

it can be done with just one folder though without issues

#

just helps organize, or have irregular repeats

#

my biggest sdxl test, was 5k images trained into a 41mb lora.
it successfully learned over 100 concepts - including multiple dresses

#

would not recommend though, as it took my rtx4090 a total of 18 hours, and was still a bit undertrained. will rerun it on 1.0 release for a full 40 hours

urban fjord
#

Nice

#

Do you know how much of it was the LoRA and how much of it was helping SDXL doing things it already knew?

honest flint
#

its going to be interesting tossing my 1million image dataset into a lora, dunno how well thats going to work tho, might have to do what dreamshaper did and just release a custom refiner model

boreal bough
# urban fjord Do you know how much of it was the LoRA and how much of it was helping SDXL doin...

I used Vit-H + the typical (but not ideal) preprovided flavor chain
due to that, all the concepts trained either already existed, or were 'retrained' from similar enough concepts that it got all the details right.

I know that you can bend it to your will with enough steps, to adapt to any wording you want, but for now I'm willing to use the existing clip knowledge since it makes things infinitely easier

urban fjord
#

At 1 million images it sounds like you just want to do a full fine-tune and not a LoRA.

honest flint
#

lol, yeh

boreal bough
#

I'll also need a custom refiner model, and I hate it
I'm genuinely dreading that the refiner retains it flaws.

honest flint
#

at least with 0.9 most of the concepts in my dataset are grossly undertrained or just absent so still want to do it... originally built the dataset for 2.1 and had a model mostly ready to release but decided to wait with this new shiny around the corner

boreal bough
#

refienr is extremely biased when it comes to faces, eyes, and face accessories - which makes cosplay loras especially hard, when they have eyewear like 2B from Nier Automata

#

hopefully we'll get refiner lora support - as that would solve the issue as well

boreal bough
#

oh, or you mean finetune

honest flint
#

2.1 was a full finetune and pretty low lr (1.97e-6 mostly then 3 epochs of polynominal descent to -9)

#

lora's i usually do at 1e-5 tho

boreal bough
#

sdxl lora doesnt need to be that low anymore. would highly recommend to try your datasets first at 1e-3 - since not one of my attempts at that rate has failed so far

#

also unet only

boreal bough
# thorn lion Why not use prodigy?

my original argument was, that I'd try other methods once one of my datasets failed
since a lora now takes me around 10 min to train on rtx4090, and works flawlessly, I've yet to try other methods XD

thorn lion
#

If I use the search bar and your name, will I find that you have mentioned the method you're using?

boreal bough
#

• good captioning is still relevant
• Dataset size of 30~60 to avoid typical issues. 10 or more will work fine if you know what you're doing. under 10 works if you really know what you're doing.
• set repeat to 1, do 40 epochs. 20 epochs will prob be your 'ideal' lora. so save every few epochs

thorn lion
#

You got gud at dataset prep. I'm going to assume that's why you can run with a static LR. Is my assumption accurate? Consequential assumption would be that shitty datasets require LR adjustments but there should be an optimal LR if your dataset is of a minimum quality. How to quantify dataset quality is a different question but you musta got gud at qualifying the quality. Assumptions correct?

thorn lion
upbeat summit
nimble heart
upbeat summit
urban fjord
#

For instance, if you find settings that is very good at replicating your face that doesn't mean it's good for general concept training.

#

If you want a model to learn from drawings without turning everything into a drawing you might need different settings. Though the settings Caith posted looks pretty much like the ones I've used for 1.5 with the exception of dim.

boreal bough
# thorn lion You got gud at dataset prep. I'm going to assume that's why you can run with a s...

ironically enough, sdxl is much more forgiving, even when using bad settings, or outright wrong practices.
You know you got your settings/practices right, once you can use your lora at weight 1, and 4/5 generated images are of 'good enough to post' quality <- mostly just a matter of getting your captions right

If you wanna do good manual tagging, I can highly recommend hydrus network. It's high effort to learn the first time, but it scales well. I do manual tagging for around 30~500 image datasets using that app.
above that size I switch to automated workflows.
below that size I just use vit-h to write me captions only, and then add the remaining tags manually in a text editor (Sublime 3) like a barbarian

rancid tundra
#

AUTOMATIC1111 WebUI now supports SD XL

boreal bough
#

7 mins XD you're fast

urban fjord
#

Does it run as well as in Comfy?

rancid tundra
heady vale
boreal bough
rancid tundra
boreal bough
#

bet he was in a rush since it's almost 1.0 time

#

oh god how much I longed for this

cunning geyser
#

.

#

MY SHEET, IT HAS BECOME COMPLETE

#

now it doesnt matter wtf they are everything in the sheet works in a1111 now

#

gee gee

nimble heart
#

I've read your words 3 times and I still can't understand them

cunning geyser
#

Oh its

#

trust me its a passive ability

#

I confuse everyone

boreal bough
#

...so does A1111 not use the refiner, or am I too oblivious to see it

nimble heart
#

lemme check

vale eagle
#

It should have it

boreal bough
#

I mean it works if you manually switch model, then img2img it, but at that point... yeah XD

#

whelp. its definitely not a good sdxl experience

nimble heart
#

off to a good start

boreal bough
#

🤣

#

I predict a massive influx of new 'halp me' users in the next 12 hours

autumn forum
#

im gunna try the new update of a1111. if it doesnt work first try. then yeah i can see that being true lmao

boreal bough
#

hopefully sdxl gets full released with their internal inference tool / or a very big shoutout to comfy
cause A1111 is gonna make a lot of people sad

#

I did a fresh install for the new version, since a lot changed

dusk mica
#

a1111 is also super slow for sdxl, if compared with comfy

nimble heart
#

ripgrep for 'refiner' only showed that the UI has the configs to load the model. didn't see anything about 2-stage processing

boreal bough
#

it works if you do the whole process manually

nimble heart
#

so you can do base 20/30

boreal bough
#

gen image, take half finished image into img2img, then change to refiner model, wait an eternity, then do the refining part

nimble heart
#

but t2i can't return noise

boreal bough
#

10/10 user experience 🤣

boreal bough
nimble heart
#

damn

#

so they're right back to square one

#

when sdxl first leaked

boreal bough
#

but that was already known

nimble heart
#

and no one knew wtf they were doing

boreal bough
#

but that it would be 'released' without 2 stage process is... well...

#

guess he just wanted it 'finished' in time for

nimble heart
#

wonder if vlad implemented noise return yet

#

he uses Diffusers or something doesnt he. the shrek guy and sytan made a PR to get it implemented there

boreal bough
#

technically seen, its in diffusers now thanks to pseudo. so vlad should automatically get it due to using diffusers?

nimble heart
#

is it an automatic thing or does he still have to manually use noise return

#

from the screenshot of the PR psuedo sent it almost looked like he just added the ability to noise return

boreal bough
#

the function is there. but if you call it, or give ui access to enable the function is still his thing

dusk mica
#

whats noise return?

nimble heart
dusk mica
#

i see

boreal bough
# dusk mica whats noise return?

rather than fully making 2 images, you send the half completed image into the refiner model directly. Has the advantage of massive speed increase, and due to the noise, you add just the right amount of chaos to literally add details to the final image

nimble heart
#

denoise half in base, return early with leftover noise , refine the last half

#

or really it should be like 2/3 1/3

sand idol
#

@spark pewter I've been trying to get the 8gb training to work. My command is:

accelerate launch --num_cpu_threads_per_process=2 "./sdxl_train_network.py" \
  --enable_bucket \
  --pretrained_model_name_or_path="<path to sd_xl_base_0.9.safetensors>" \
  --train_data_dir="<stuff>\img" \
  --resolution="1024,1024" \
  --output_dir="<stuff>\model" \
  --logging_dir="<stuff>\log" \
  --network_alpha="0.5" \
  --save_model_as=safetensors \
  --network_module=networks.lora \
  --unet_lr=0.0001 \
  --network_train_unet_only \
  --network_dim=8 \
  --output_name="last" \
  --lr_scheduler_num_cycles="10" \
  --cache_text_encoder_outputs \
  --learning_rate="0.0001" \
  --lr_scheduler="cosine" \
  --lr_warmup_steps="260" \
  --train_batch_size="1" \
  --max_train_steps="2600" \
  --save_every_n_epochs="1" \
  --mixed_precision="fp16" \
  --save_precision="fp16" \
  --cache_latents \
  --optimizer_type="AdamW" \
  --max_data_loader_n_workers="0" \
  --vae_batch_size="2" \
  --bucket_reso_steps=32 \
  --min_snr_gamma=5 \
  --gradient_checkpointing \
  --xformers \
  --bucket_no_upscale \
  --vae="<path to sdxl_vae.safetensors>"

I got the train command to be as similar to yours as possible.

nimble heart
#

50/50 is way too much refine

#

also pointing out the noise return only seems to work properly on certain samplers

#

like euler and ddim

#

without karras

#

which is extra bonkers that ddim errors out in auto

boreal bough
#

and where's my 2nd clip model! XD

nimble heart
#

tbf I still just use one text input fed to both clips

#

hard enough prompting for one as it is

autumn forum
#

confused why a1111 sdxl says sdxl doesnt support ddim but comfy it works very well..

nimble heart
#

someone else said that ddim isn't implemented properly in a1111

#

supposedly multiple samplers are semi-broken

boreal bough
autumn forum
#

ah

nimble heart
boreal bough
#

'2 stage process patchwork code of sdxl'

dusk mica
#

i mean only one and a half day left

boreal bough
#

it's gonna release, while I'll be playing DND 🥲

nimble heart
nimble heart
autumn forum
chrome flicker
#

train anime lora for sdxl should include clip model?

chrome flicker
#

now it seems that sdxl not have too much train on anime character, so if we want to use it train anime character model , it means we should train also clip model because of danbooru tag is not in sdxl?

boreal bough
#

UNET only for default sdxl0.9 model

#

if you're using the waifu xl model, you'd have to try if the text encoder messes things up or not

nimble heart
#

someone should train an LLM to convert booru tags into actual prompts

chrome flicker
#

train two clip model is enough i think

boreal bough
chrome flicker
#

I see, waifu XL is now training based on sdxl 0.9, maybe a further work to train after sdxl 1.0 release. Because 1.0 may have different structer

boreal bough
molten gull
#

when i start a1111 i get this error:

#

any idea what i must do here ?

boreal bough
#

disable the extension

#

its cause A1111 added proper metadata support - but that also means that all/most metadata extensions need to be updated to work with the new version of A1111

molten gull
#

how do i tell in A1111 to first use the base model and then the refiner ?

rancid tundra
boreal bough
sweet wyvern
#

the 1.0 model gonna be this tedious too ?

molten gull
#

hmm, that's a little bit clunky, isnt it ?

boreal bough
#

if you want a good sdxl experience, use comfyui

rancid tundra
#

Yep, it is

boreal bough
#

A1111 full release of sdxl, really isnt a full release

vale eagle
#

I am trying to produce the same result using comfyui and a1111 with same parameters. But they are just different

molten gull
#

can i train embeddings with a1111 and sdxl ?

#

(or with comfyUI and sdxl ?)

boreal bough
molten gull
#

i dont really want a lora, i want an embedding, and i want to save an image every 5 steps

boreal bough
#

then no

molten gull
#

well, i would be fine if i could train a lora and save an image every 5 steps, but that somehow doesnt produce images in the same way as embeddings would back then

boreal bough
#

keep in mind, sdxl is not SD1.5
so many experiences made using one will not transfer over to the other

molten gull
#

true

boreal bough
#

SD1.5 was using 1 clip model, which was easy to train
SDXL uses two separate clip model - which makes everything much more complicated if you want to retrain them

molten gull
#

i m not even really sure about the theory of how to do an embedding here

#

do you have to train a lora both on the base and refiner, too, by the way ?

boreal bough
#

for now, we can only train lora for base

molten gull
#

is that the reason why the end images are always a bit blurry/unfinished ?

boreal bough
#

they shouldn't be blurry

#

A1111 does that, but that's because its not fully implemented

#

nothing to do with SDXL

molten gull
#

what would be a good set of training images ? all of a very similar appearance ? and how many pictures ?

ebon magnet
#

Isn't SAI working together with a1111?

boreal bough
molten gull
#

i do have it working in comfyUI

boreal bough
#

the images really shouldn't be blurry though

vale eagle
#

A1111 with hires fix. Not bad.

molten gull
#

with comfyUI from yesterday

#

not from a lora training though

#

my question wasnt really regarding settings though, but more like "what kind of images should i take to create a good lora"

#

like, if you want a photorealistic portrait, is it better to have people from all angles, are all the same angle, with different poses or rather same, rather 6 pictures or 100 ...

boreal bough
#

@molten gull the only blur here is bokeh in the cat & burning man image, which I specifically prompted for

molten gull
#

i quite probably made something wrong with creating the lora itself, yes

boreal bough
#

the 2B image, is from a lora I made

vale eagle
molten gull
#

but what kind of images would be good to use for a training @caith ?

boreal bough
boreal bough
molten gull
#

if you want a photorealistic portrait, is it better to have people from all angles, are all the same angle, with different poses or rather same, rather 6 pictures or 100 ...

vale eagle
#

they have similarity

boreal bough
#

"photorealistic" should also never be used - not for training nor prompting. since a photo is never tagged with 'photorealistic' on any website. only drawings are marked as photorealistic, when they try to look real. so that prompt alone would cause blur, since its a 'drawing' prompt

vale eagle
#

I kindly think a1111 more emphasis style

nimble heart
boreal bough
# molten gull if you want a photorealistic portrait, is it better to have people from all angl...

more angles = good
dataset size =
1~9 <- hard
10~29 <- good enough, if you tag properly
30~60 <- ideal. Will help correct some mistakes you could make while tagging.
60+ <- also good, but training takes longer. good if you want to teach multiple different things at the same time.

Tagging:
• always caption the background!
• have a trigger word, shuffle the rest
• **dont **tag the parts that you want to show up when you use your trigger word
• **do **tag everything else, especially background

vale eagle
#

prompt: a lineart painting of a banana. No refiner using comfy. Steps: 20. Sampler: Euler. CFG: 6.5. Seed:1

nimble heart
#

That's way too much of a difference. Using 1.5 models I can 1:1 reproduce images in both a1111 and ComfyUI

#

Something's different

vale eagle
#

left is a1111 right is comfy

boreal bough
#

maybe A1111 uses style prompt with a different weighting?

#

also, sample size of 1 is too small. at least 9 grid to make it a fair comparison

vale eagle
#

Opening both ate up my memory. LUL

inner ruin
boreal bough
#

(during training)

nimble heart
#

oof

craggy agate
#

It's supposed to be tomorrow

#

My bae

#

Bad

#

I thought it was the 26th 😭

boreal bough
#

feet/neck/torso/ears/hands/legs <- words such as these shouldn't be used during training. If you do, you mess up the anatomy, and bodies quickly turn into lovecraftian horrors. You can train anatomy, but it's done differently from normal training.

#

at least, dont casually try to train anatomy while doing anything else, like training clothing, faces or artstyles

inner ruin
#

I built custom attention masking on the kohya script to disregard the background so no need to caption that

boreal bough
#

and it still works in sdxl?

inner ruin
nimble heart
#

@vale eagle if you're comparing images seed by seed in a1111 and comfyui make sure you change a1111 to use cpu for seeds

inner ruin
nimble heart
#

settings -> stable diffusion

inner ruin
#

I think it might be because I also trained TI in 1.5

vale eagle
nimble heart
#

left comfyui, right auto

vale eagle
#

Should it be the same?

nimble heart
#

yea it's just the seed

#

--gpu-only affects model loading

boreal bough
nimble heart
#

I hope the official 1.0 vae is fixed for fp16

boreal bough
inner ruin
boreal bough
#

but it will make lora training a real pain. since faces dont train at the same rate as literally everything else

nimble heart
#

make a separate face lora and run them in series

inner ruin
#

But SDXL gets similarity insanely well.

#

adherence is the pain

boreal bough
#

face/body shape/and clothing were trained in this lora. I can call each of them separately. I even got the eyepatch working, which was my greatest pain so far

vale eagle
inner ruin
vale eagle
#

left is a1111. right is comfy

boreal bough
nimble heart
#

small differences still, probably just Xformers or autocasting differences

digital tinsel
vale eagle
nimble heart
#

and i2i is the "wrong" way to use it lol

half ivy
#

any1 got an sdxl img2img workflow?

nimble heart
#

Like from a .png type image? or a hiresfix?

boreal bough
#

didnt read properly. img2img

half ivy
#

inpaint
control net

#

these are the things i seek

nimble heart
#

controlnet no go

vale eagle
#

a1111 vs comfyui base vs comfyui base+refiner. prompt: a banana in an anime style

half ivy
#

keep getting weird crashes

nimble heart
#

yea controlnet doesnt work on sdxl yet

half ivy
#

lol wasted the whole morning then 😂

nimble heart
#

inpaint should work fine in a1111 or comfyui

half ivy
#

im talking strictly sdxl

nimble heart
#

yea

#

inpaint is just i2i with a mask so it should work fine

half ivy
#

only txt2img is sdxl

nimble heart
#

No idea what you're trying to convey with that screenshot

half ivy
#

have a controlnet setup for comfy (not sdxl)
same for highresfix
same for img2img
same for infinite zoom
same for inpaint
I have sdxl fo txt2img
wondering if theres any sdxl workflows for these that are out there

#

or at least wanting to know if its possible for these to be done with sdxl, controlnet we know not..

nimble heart
#

don't know what infinitezoom is but the rest are possible 100%. just gotta add the nodes for them

boreal bough
#

those are the only ones I can link to premade stuff. rest, while possible, we have no link for. so either search, or needs to be selfmade

half ivy
#

happy to try make them, super fun process, just dont wanna waste a morning like i did today on control net 😂

nimble heart
#

they work fine

half ivy
#

k cool thanks for bumping the links, will check them out now

nimble heart
#

controlnet uses models trained specifically for 1.5

#

so the models need to be retrained for sdxl

#

same for loras

#

and inversions

vale eagle
#

SAI seems to try to improve controlnet for SDXL (reduce the size of it). Hear from reddit

sour obsidian
nimble heart
#

idk what deforum is either

nimble heart
sour obsidian
sweet wyvern
#

the refiner, is that gonna be separate ?

#

if so, doesn't the refiner count as an inpaint model?

nimble heart
#

looks like masked inpainting kinda kerfuffles the refiner in comfyui

heady vale
#

are you meant to inpaint with the base or refiner model?

nimble heart
#

base I assume

#

refiner can't i2i very well so I'd imagine inpaint would be worse

sour obsidian
# sweet wyvern the refiner, is that gonna be separate ?

yea still a second one, but as Beinsezii said the base is likely going to get you better inpaint results as inpainting is typically a full generation task and the base is a much smarter model. That said, go ahead and try all the things 🙂

soft bone
nimble heart
#

refiner sure has a field day with tattoos and jewelry

sour obsidian
thorn lion
# boreal bough ironically enough, sdxl is much more forgiving, even when using bad settings, or...

I wrote my own gradio app for tag/caption editing and I have an automated workflow that does 85% of the work. I could get it to do 100% of the work at an acceptable quality by using papers/tech that stands on the shoulders of BLIP/CLIP but I need a decently sized high quality high variety training dataset with near perfect captions/tags. It may be stubbornness but, because I'm not using (I think they're generally called) booru tags, I typically classify anything related as unrelated to my purposes.

I could see a benefit to using a combination of single word tags and phrase based captions together but, since I am only observing a divide in protocol and not directing it, I have to choose a side.

Like, I've read a lot of tutorials (for v1.5/v2.1) and the advice for training a drawn person and for training a flesh person is similar but different. Slightly different optimal hyperparameters, from step count to batch size to data augmentation options. The adaptive optimizers are gonna hand wave a lot of that complexity away but it was quite annoying for someone to assert with such confidence that their way is the way when it couldn't apply to......a lot of diverse situations.

Example: there was a Forrest Whittaker LORA that someone trained with flip augmentation on. 🙃

thorn lion
# boreal bough ironically enough, sdxl is much more forgiving, even when using bad settings, or...

The thing I'm struggling with would be inventing a standardized flexibility/complexity test to determine if the LORA subject can do everything from stand and look at camera to...uhh...a yoga pose while riding a bike with skis down a muddy mountain side being chased by a bear(the bike has skis. Not the subject or the bear. Let's give the bear a Sherlock Holmes hat though) in the style of some obscure not well known artist that is within the base model /knowledge/

nocturne dove
#

I was just training a spider-gwen lora, and I think I need a few more screenshots from spiderverse (I have a few movie stills, a few comic art images, a few cosplay, and a few of emma stone because why not?). In this first attempt, sdxl is like "you still want a little spider-man though, right?" Silly images 🙂

#

Oh well, live and learn. Don't caption anything as "spider-man pose" that's not explicitly spider-man unless you want to train it a lot longer.

sweet wyvern
#

it's not an AI, it's priditctive algorithm, so ofc if you type "spider man" in there you're gonna get something related to spider man in return, and i bet you most of the images in the data set contains a spider man suit.

nocturne dove
#

Sure, I was hoping to get this kind of pose trained as "spider-man pose" and I didn't think about how strong "spider-man" waould be in the model. It's an easy fix to the training data.

sweet wyvern
#

you're gonna want that pose without the suit to train on 😛

nocturne dove
#

Yeah I can fix the issues. just thought it was funny to see 50% spider-man 50% spider-gwen combos the model came up with.

#

I guess base sdxl knows what "spider-woman" looks like pretty well too. Since, without prompting for "spider-woman" or training the lora with similar images, sdxl comes up with the mask that that character wears.

oblique tartan
#

How well does SDXL handle hands compared to previous stable diffusion?

nocturne dove
#

Somewhat better but not what you'd like it to do.

violet totem
uncut steeple
boreal bough
boreal bough
#

I really really hope its a parallel release with sdxl 1.0

boreal bough
oblique tartan
west breach
#

What's a good amount of loss to stop training a lora?

#

I just started training something today to learn how it all works. Spent ages captioning images. My hands are sore from typing all the captions 😆

boreal bough
#

I know the feeling xD

peak dove
west breach
#

results so far from my 'grumpy style' 😆

strange mist
#

they're so... grumpy 👀

#

are you using a TI?

west breach
#

training a lora based on images i created with a 1.5 model

strange mist
#

ah, I see. looking good so far 🙂

shy kelp
#

I won the pantheon what does this mean? Also what is this even for? Picking the best fine tune of SDXL?

strange mist
ionic dragon
#

@sour obsidian how well the does the new controlnet work for qr codes?

shy kelp
#

I used the same exact prompt that used to get front page in 2022 with Midjourney V3

#

Pretty sure it’s an overfit image or concept

#

As V3 and SDXL makes roughly the same image

#

Open source finally reached midjourney v3-4 levels

strange mist
# shy kelp lol

that's not nice 😒
that's kinda cheating, I'm telling the mods on you 👀

shy kelp
#

Going to jail for Stealing prompts

strange mist
shy kelp
#

So SDXL does beat it in terms of everything except “beauty” in my opinion

#

Like I think midjourney V3 has some secret sauce that makes all of its images beautiful

craggy agate
#

does anyone know how to use the refiner model for sdxl with a1111

shy kelp
#

I really wish they shared their secret sauce for V3 because V4 is just generic photographic model and V5 is something else entirely

#

But oh no our profits

#

I think SDXL beats V4 and is close to V5

#

It doesn’t beat V3 aesthetic though. Neither does V4 to be fair

strange mist
#

sdxl has a problem of stuff bleeding into other aspects of an image
so in mj, the universe is wholly contained within the bottle. in sdxl it has bled to the background 🤔

shy kelp
#

There was another just like the MJ one

#

Wait new winner already?!

#

What is this 5 minute pantheon??

strange mist
#

oh? ok. but in general sdxl tends to do that.
well, you had your 5 mins of fame. let someone else shine now 🤩

shy kelp
#

I kinda wish there was a platform like Midjourney for stable diffusion where people actively made Upscaling and voting decisions which can be used for finetuning

#

Oh also SDXL beats V5 for text but I bet V6 will also have text

primal nimbus
soft zealot
#

same prompt, same seed, same sampler & scheduler settings etc the nonly difference is the number of steps.

On the left was 25 total , the right was 150

heady vale
heady vale
#

sometimes you can use 30 steps then 31 steps and bam, different image

soft zealot
#

nice to know (and I wasnt complaining lol)

#

mind you it is interesting what remains the same

#

and what chnages

heady vale
#

yep thats one reason many like it

soft zealot
#

although I only had the ancestral on the Refiner step

indigo carbon
ionic dragon
#

and its way far away in terms of concept design

indigo carbon
ionic dragon
indigo carbon
indigo carbon
ionic dragon
#

just got back from work

#

im tired

#

SDXL doesn't create good abstract images too

#

but its way better than 1.5 or 2.1

indigo carbon
ionic dragon
#

we never know the situation after finetuning

uncut steeple
ionic dragon
uncut steeple
#

I see

ionic dragon
#

like a pattern

uncut steeple
#

So more like this

indigo carbon
ionic dragon
# indigo carbon ..

i mean, something like waves, lines, geometrical figures, or miniature things

soft zealot
soft zealot
uncut steeple
#

Repeating patterns

indigo carbon
#

yeah, SDXL destroys MJ

uncut steeple
ionic dragon
uncut steeple
#

This isnt a competition between those or any other, its more like a mutual evolution and each can learn from the other

ionic dragon
#

i dont know how to describe but like this

ionic dragon
indigo carbon
ionic dragon
uncut steeple
ionic dragon
#

like for example,
if I say someone is bad, it doesn't mean that the other person is good
i am just saying that the 1st person is bad, irrespective of 2nd person

ionic dragon
indigo carbon
ionic dragon
#

i have many times said that SDXL is very good than MJ bcuz of the flexibility

indigo carbon
#

idk man, when I use SDXL on A1111 it reaches a level of detail I never saw other AIs get to

uncut steeple
#

I dont like it in A1111 atm, I prefer comfy since the workflow is more straight forward

ionic dragon
#

sdxl is best in comfy

#

its shit in a1111

indigo carbon
uncut steeple
#

Thats more what you had in mind?

indigo carbon
uncut steeple
indigo carbon
#

it's better for me on A1111 than on comfy because I mastered my A1111 inference, so this isn't a fair comparison

uncut steeple
#

I still dont really know what you mean by that

indigo carbon
#

I'm probably not the right person to ask because I'm very experienced with A1111

uncut steeple
ionic dragon
#

you'll start to hate a1111

#

its pretty frustrating to use it at the start

uncut steeple
#

Nah A1111 still has a lot of uses

west breach
#

I still used A1111 for inpainting

ionic dragon
#

but trust me, after using it for a week, you'll love it

ionic dragon
indigo carbon
uncut steeple
#

Please dont ghost ping staff

ionic dragon
#

oh wait

#

i am trying to send something but i sent by mistake

#

i am trying to ask comfy

soft zealot
#

It could be worse, it could be like over on the civitai discord where everyone was given the permission to use "at everyone"

ionic dragon
#

@visual glade can we expect user friendly controlnet and inpainting in comfyui after the release of 1.0?

soft zealot
#

also I think given that ComfyUI is only 4 or 5 months old that its quite amazing already

indigo carbon
indigo carbon
west breach
indigo carbon
#

also I bet that you can use SDXL's clip to interrogate photos in comfy

soft zealot
indigo carbon
#

both are amazing UIs, but it's just that one suits me better

soft zealot
west breach
indigo carbon
soft zealot
indigo carbon
west breach
#

using a lora makes things a lot slower, and extra 12 seconds for each gen

smoky patrol
delicate grotto
delicate grotto
west breach
indigo carbon
delicate grotto
#

i think it must add at least a few layers, just because you add a new word to the collection, and it also might affect the weights during the process as to override them

smoky patrol
indigo carbon
delicate grotto
#

so yeah, additional time makes a lot of sense because you use the same model with the new weights(adding them on top of the current ones) or something

wary moth
#

does anyone know if AMD gpu's are supported at launch? or do we have to wait for support?

#

tho i have an rx 580 so idk if it'll even work

delicate grotto
wary moth
#

@delicate grotto i haven't tried yet, i've been holding out

delicate grotto
indigo carbon
delicate grotto
#

you can also use collab for that with au1111

#

colab*

wary moth
#

yeah it's quite painful lol, if i use controlnet it takes ~3 mins to generate. but i dont mind long waits if it means running SDXL locally

indigo carbon
delicate grotto
#

should be ~1m for a 1024x1024 image, and you can pay ~12$ to get 100CU(im not sure how much is it in pictures)

smoky patrol
#

I love water in SDXL, or water in general

delicate grotto
smoky patrol
indigo carbon
delicate grotto
#

mind sharing the prompt?

indigo carbon
delicate grotto
indigo carbon
delicate grotto
#

not really, you can press the paste button and it will paste your style

#

it usually places that after your original prompt

#

lets say you had
pos:
prompt1
neg:
prompt2

the style is prompt3

the output is:

pos:
prompt1,pos prompt3
neg:
prompt2,neg prompt3

indigo carbon
delicate grotto
#

there is a button to paste your current style

#

near the save image icon

indigo carbon
#

but sure, feel free to try it =]

delicate grotto
#

using the same seed you will get the same output

#

im just afraid to load a1111 since it started to BSOD sometimes when i load the models

#

dk it if is fixed, but i don't want my drive to die