#🏞|general-with-images

1 messages · Page 47 of 1

smoky oak
#

I am now in the mood to compare AI image gens lol

dense tapir
#

I want to see what this does if it finishes as I will regen to see

smoky oak
#

once you wait, you don't have to anymore, so might as well see

dense tapir
#

this has potential if they will save it and reuse it as SHARK does

#

the reason shark is so fast

#

still waiting, lol

#

maybe it froze up

#

still waiting

smoky oak
#

with both, a 512x512 gen took abotu 1 minute 50 seconds to cache for me

dense tapir
#

well, my cpu is 12% and gpu 100%

smoky oak
#

just like mine

dense tapir
#

Yeah, I am so wanting to stop this

#

25m and counting

smoky oak
#

Yeah, I'd say just cut your losses

#

its not like this is something you can afford to wait every time you gen

dense tapir
#

must be those TCs

#

more you have the better this will be

#

it just finished

smoky oak
#

oh it worked?

dense tapir
#

there it is

smoky oak
#

nice

#

might as well use it for now then

dense tapir
#

LOL, not a single bit of speed up

#

actually is slower

#

ffs

#

know what? something is bad

smoky oak
#

lmfao

#

I don't understand what keeps happening to you 😅

dense tapir
#

same prompt, same seed, different image

#

I am genning again

#

wth?

smoky oak
#

A photograph of a snowy forest, realism, mountains, sunset, pine trees, snow, pretty

Lexica, Mage, Dream, Stable Diffusion

dense tapir
#

Well, I may have to go back to auto, damn it

#

far too random for me

kind quartz
#

pitty that hand 😄

dense tapir
#

Full Vlad Diffusion Install Guide + Best Settings
Here is my updated Guide for Vlad Diffusion Install. Navigating you through the Python 3.10.9 Install, Git for Windows and the Cuda CUDA Toolkit 12.1. Then we use the git clone to get all the Files and run webui.bat for the final Install. After that I guide you through all the best Settings to ge...

▶ Play video
#

I linked at the time for you

smoky oak
#

oh I did that a longgg time ago haha

dense tapir
#

Ahhh, orange is best

smoky oak
#

Hard disagree, but to each their own

dense tapir
#

anyway I am done with vlad as I can't handle this being at seed -1 all the time.

glossy herald
#

Yes CivitAI, in fact, I do love waking up to find your database so busted again that my profile comes back as 404
Thanks for such a nice welcome civit 🙂

smoky oak
#

That website is less stable than diffusion

dense tapir
#

overload is partially why

#

a victim of its own popularity

smoky oak
#

I wanna like vlad, but I am back on auto 😅

#

at least for now

dense tapir
#

I hate losing the speed gain

smoky oak
#

A pencil sketch of an old man, pencil, sketch, drawing, pencil sketch, pencil texture

Dream, Lexica, Mage, Stable Diffusion

#

I find it crazy that all of these services are based on SD, yet they have such a much lower quality on average compared to locally run

dense tapir
#

resources

smoky oak
#

I'm just surprised there isn't a service that offers high quality results at the trade off of taking a while

#

cause these results from the others were probably less than 10 second gens

dense tapir
#

some do but for pay I think

#

some were using colab free which is why we lost it

smoky oak
#

I did use high res fix for SD, but even without it

#

still the best for sure

#

and only 3.6 seconds for 512x768

#

which is the fastest of all of them

dense tapir
#

highres fix is the best one I read because it works in the latent space while the others work in the pixel space.

smoky oak
#

yeah, upscaleing in SD isn't a pixel thing, its a diffusion thing

dense tapir
#

I don't use it because it has always been far too slow for me

smoky oak
#

fair for sure

wispy nest
smoky oak
#

I just recently found out that highres fix works really good, the only issue comes from the latent upscaler, which is what causes those huge composition changes

dense tapir
#

Well, I was going to as I read about that as the -- option but xformers is non deterministic as well only it minorly changes this thing is just like I did a seed -1

smoky oak
#

on my hardware, xformers is 100% reliable

#

for same seed gens

dense tapir
#

it is still 100% non deterministic

dense tapir
#

on vlad's I can't use (apparently others can't as well) xformers so let's try this and see

smoky oak
#

enabling xformers for me on vlad made 0 difference at all

dense tapir
#

fucked me over and from that video I see it did many others too

dense tapir
#

way slower too

wispy nest
#

seems pretty deterministic to me

dense tapir
#

yep

#

I can't use it though as I get a black gen

wispy nest
glacial sand
#

An Apocalypse where people are running for their lives.

crystal deltaBOT
#
FAQ: How do I generate images? Is there a bot on the server?

Currently, there is no bot on the server that generates images. However, there are plenty of other ways such as the official https://beta.dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware! Check out #1080946152318443610 for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!

dense tapir
#

no, 2.1 without xformers has this same issue

kind quartz
#

i cant run 2.1 without xformers, having 8GB VRAM

smoky oak
#

general Awareness doesn't have an RTX GPU, which causes issues with tons of optimizations for AI

dense tapir
#

if you tried you would gen a black box

#

yes

kind quartz
#

i have 3070

wispy nest
dense tapir
#

like AMD gpus could not do 2.1 due to this since xformers is not for them so they had to do full 32bit and hope they had enough mem

#

--no-half

#

1.5, and 2.0 does not have this issue.

dense tapir
#

SAI is aware of it and tried to force xformers on people

dense tapir
tired basin
smoky oak
smoky oak
#

if there is an optimization, we have tried it lol

tired basin
#

no improvement with newer versions of xformers?

dense tapir
#

the problem is auto is MIA and needs to implement it whereas Vlad is present and did implement it

smoky oak
#

I even spent 7 hours installing VoltML through WSL and hypervisor, and it was for nothing

smoky oak
#

it was about 20% slower for me on average

tired basin
dense tapir
#

So, if I use pytorch 2.0 vlad I am forced to forever have random gens

wispy nest
tired basin
#

I just hope a1111 is OK, and that he's just having a break

#

as in the person

dense tapir
#

yep, until I get a card I have enough mem to do --no-half

#

someone said he is back to playing dota 2

tired basin
smoky oak
dense tapir
#

my god it does

smoky oak
#

I run at half, and my gens are rock solid reliable

#

running no half is just inefficient

dense tapir
#

you only half read what I said

tired basin
#

if you only have a 4gb or 6gb VRAM card, then loading a full fp32 model in is impossible

smoky oak
#

As you can see, half is pretty reliable in Vlad lol

dense tapir
#

I said, consider this like an AMD. They do not have xformers so they gen black boxes in 2.1. All over the net about that so the only other way to gen without xformers is --no-half

tired basin
#

Even some of the unpruned 1.5 models don't load (like one of the Protogens was 7.7gb)

smoky oak
#

ohhh, I see what you mean, alright

wispy nest
dense tapir
#

end of line

wispy nest
#

in any case. thanks for discussing the vlad fork, i will definitely be using it

smoky oak
#

on my 3060ti it was basically the same speed, but with more issues

#

There were some things I could do to get it faster tho

#

but they were kinda annoying

wispy nest
#

on my 3060 12gb it's substantially faster in model load and iamge finalization, about the same gen speed

smoky oak
#

yeah, same here

wispy nest
#

and all the extensions i was using transferred over perfectly fine, so pure win for me

smoky oak
#

the gen was about the same, other parts were faster

tired basin
nimble timber
#

Guys i have a problem installing automatic 111, where can I ask help?

nimble timber
#

thanks

smoky oak
#

Vlad doesn't offer anything for me at the moment to justify a switch

tired basin
#

The two things for me were the lack of the switch height/width button, and the png info missing as a seperate tab

smoky oak
#

oh I didn't even notice the lack of switch button

#

I use that all the time

wispy nest
dense tapir
#

sdp determinsitic and no xformers for the first and the second is turning on --no-half (full precision) at about 4.92s/it. This is why AMD users said fuck 2.1.

#

I am regenning and I bet it doesn't change but at almost 5s per iteration I'll pass

tired basin
#

is that at 512x512 or 768x768

dense tapir
#

doesn't matter the rez only that it is 2.1 but this was 960x544

smoky oak
#

So I found out that the only issue with high res fix is using latent upscale

tired basin
smoky oak
#

Latent

dense tapir
wispy nest
#

i'm not sure what's going on under the hood with vlad...but i can tell you it does something much differently as far as memory management while genning goes. i can't run batch size 20 hires fix from 512x512 to 768x768 on auto1111, but i just got done running batch size 30 hires fix from 512x512 to 1024x1024 on vlad. i've got very little reason to do batches that high, but the fact that it can do it at all without OOM means it's doing something right

smoky oak
dense tapir
#

WHOA, it changed

#

wth?

tired basin
#

but 5s/it at that res is ouchies..

smoky oak
#

indeed it did

dense tapir
#

seriously

#

why is this changing like this?

#

I have determinstic sdp on

smoky oak
#

no idea man

dense tapir
#

512x512

smoky oak
dense tapir
#

pretty steady 3.08-3.1

wispy nest
tired basin
#

I was running a 1060...

#

--medvram and --xformers was giving 1.2it/s on 512x512 gens

#

I couldn't find a better optimisation combo

#

using Euler A

dense tapir
smoky oak
#

I made you a DDIM lover :>

#

I use DDIM 99% of the time

dense tapir
wispy nest
#

both are great

kind quartz
#

how about uniPC? got similar result to Euler but can on realy low numbers of samples

dense tapir
#

unipc demands tensor cores

wispy nest
#

the faster model loading is a large part of why i'm gonna stick with vlad. a lot of times i'll start a project by checking how my topic is interpreted in each model with each sampler. takes a while, but gives me the best base to work with imo

kind quartz
#

@dense tapir oh o.k. didnt knows that

dense tapir
#

turing, and higher there are no issues

kind quartz
#

it crashing ui from time to time, need restart

dense tapir
#

I seem to have blown out vlad's again

#

my speed is shit now

#

it is weird because there are settings that if you touch you can't untouch and have to start all over

#

happens to a lot where on the net they say to never save xformers

#

it got me now this got me

wispy nest
#

it seems i have to rescind my previous statement about speed being about the same on my 3060. i hadn't enabled bf16 and channels last yet on vlad. this is with DPM++ SDE Karras. first is stable diffusion with optimizations, second is vlad with optimizations. i'll definitely be sticking with vlad

#

sure, it's only a ~7% increase, but that'll add up

smoky oak
#

yeah, understandable

#

I can get about a 14% speed increase in vlad if I mess around fully, but its more annoying IMO

dense tapir
#

I have no idea but I saved the image and got the same image back

#

interesting

wispy nest
#

yeah...definitely switching lol

smoky oak
#

I probably will as well at some point, but I just don't like certain aspects of it

#

also it seems to be less VRAM efficient I believe, compared from my gens

#

but I did so many I could have misaligned the results

#

and there are wayyy more factors to vlad as well

dense tapir
#

512x512 euler_a 20

wispy nest
dense tapir
#

that is even going through a HN and a lycoris

#

I am not even running low, or medvram options now

smoky oak
wispy nest
dense tapir
#

one thing I hate is that in the sampler drop down I can't get rid of unipc or plms yet they are unchecked

smoky oak
#

I wish I could run A1111 and vlad at the same time rather than having to deal with the annoyance of switching between

wispy nest
dense tapir
#

a bug I hope it nips. probably a really simple 1 value bug

wispy nest
#

probably

dense tapir
wispy nest
#

it doesn't seem to switch the "generate" button over like auto1111 does as well, but i rarely use that as an indicator anyways(and could have something to do with me changing settings for preview and progress bar, haven't messed around enough with the settings menu yet)

dense tapir
#

switch the gen button?

wispy nest
#

change it to generating or whatever it was on auto1111. i think it greyed it out as well? i honestly don't remember

dense tapir
wispy nest
#

ah yeah. that's what it did

#

i would prefer that it did something like that in vlad, but haven't yet found an option for that. probably because the stop and skip buttons are just always visible

dense tapir
#

That is vlad

smoky oak
#

muahaha

#

I have both running at the same time

#

:D

wispy nest
#

also: it seems it doesn't clear the annoying image at boot...so i may have to check the code and find a way to turn that off

#

this thing

dense tapir
#

yeah

smoky oak
#

ok so, in side by side

dense tapir
#

I saw it

smoky oak
#

A1111 is faster gen, Vlad is faster processing

dense tapir
#

For me both are faster

smoky oak
#

A1111 for 1.52it/s at 512x512x8 (total 13.74s)
Vlad got 1.44it/s 512x512x8 (total 12.88s)

#

So Vlad was faster in the end

#

trying single

wispy nest
#

it's made a few of them lol

smoky oak
#

A1111 won the single image dra race

#

A1111 9.74it/s - 2.11s
Vlad 9.01it/s - 2.25s

dense tapir
#

for me there is just no comparison Vlad is simply faster in everything on my 1060

smoky oak
#

I wonder why its not for me

#

I am gonna give them 50 samples to drag race them harder

dense tapir
#

I am baffled

wispy nest
#

ah, changing the default temporary directory will allow it to clear it. that's a relief

wispy nest
dense tapir
#

sytan is a 3060ti

wispy nest
#

yeah, i know

dense tapir
#

seems so odd

smoky oak
#

A1111 10.5it/s - 5.20s
Vlad 10.1it/s - 5.44s

#

at 512x512 50 samples

#

They do produce identical results, which is cool to see

dense tapir
#

although I have seen about 3-5% of the comments saying it was slower

smoky oak
#

gonna try with high res fix

dense tapir
#

They never mentioned their card though

wispy nest
dense tapir
#

No, I meant the 3-5% who said it was slower for them too

wispy nest
#

ah

smoky oak
#

Interesting

#

👁️

#

Vlad is faster at high res fix

dense tapir
#

btw, the memory management is out of this world with this as my vram is full so it is paging it in and out (I can tell) yet I do not have lowvram or medvram on

wispy nest
tired basin
dense tapir
#

vlad even has the video extension too

smoky oak
#

A1111 - 10.6it/s 512 - 1.92it/s 1024 - 13.63 total
Vlad - 10.05it/s 512 - 2.06it/s 1024 - 13.17

wispy nest
#

i've personally only dabbled with it, but apparently it helps with memory for VAEs? i dunno

smoky oak
#

this is a very interesting result IMO

wispy nest
#

that may be why it doesn't OOM on vlad with high batch size while auto1111 dies

dense tapir
#

damn

smoky oak
#

512x768
A - 6.84it/s 7.94s
V - 6.6it/s 8.11s

#

very strange

dense tapir
smoky oak
#

let me try a full workflow run and see how they compare total time wise

dense tapir
smoky oak
#

oh. i haven't been checking VRAM

#

paying attention to that now

dense tapir
#

It seems slow so what is UniPC's claim to fame?

#

It messed this up at 30 steps

languid holly
#

Hikari

smoky oak
#

Vlad 512x512x8 batch = 1.56it/s 11.95s 4810VRAM 3143RAM
A1111 512x512x8 batch = 1.64it/s 13.41s 5794VRAM 3114RAM

Vlad 512x512 to 1024x1024 = 10.15it/s 512 2.07it/s 1024 9.97s 8192VRAM 4436RAM
A1111 512x512 to 1024x1024 = 10.6it/s 512 1.96it/s 1024 10.35s 8192VRAM 4390RAM

#

so yes, Vlad is faster here

dense tapir
#

I am not seeing the lure of UniPC as the images are rather, well, ugly.

smoky oak
#

UniPC has just been worse and slower DDIM form my testing

dense tapir
#

Yeah, same

#

it has to have some reason in being

smoky oak
#

feel free to take a look at the benchmark numbers above I just posted

dense tapir
#

my batch is slow when I tried it yesterday

#

over 3m for 4

#

ddim 30

smoky oak
#

512 to 1280 is 17.05s on A1111, 15.73s on Vlad

#

both ran out of VRAM at 512 to 1536

#

drag racing 150 DDIM steps

#

A1111 10.55it/s 16.58s
Vlad 10.11it/s 17.05s

#

for 150 steps

#

trying 768x768 to 100 to see the higher res perf

#

interesting

#

Vlad 4.30it/s 24.24s
A1111 4.30it/s 24.22s

#

HMMMM

#

time for 1024x1024

#

to 50

#

Vlad 2.06it/s 25.47s
A1111 1.96it/s 27.61s

#

A1111 wins at low res, vlad wins at high res

#

how bizarre

wispy nest
#

ok. i may have asked too much of the hires fix lol

smoky oak
#

bruh lmao

#

@wispy nestso in high res fix Vlad uses less VRAM, but in batch, A1111 uses less

#

512x512x6 A111 7921 / Vlad 8104

#

A1111 used less system RAM as well

#

2853/2880

smoky oak
#

@dense tapir Oh god, Vlad sucks ass for ultimate upscale-

#

Identical settings-

#

also, it doesn't use the upscaler you tell it to use

#

no matter what, it uses the super slow swinIR

#

Which means A1111 took 11 seconds to upscale, and Vlad took 49

#

ok, something is wrong here

#

its upscaling 2 times

#

Hmmm @dense tapir

#

Fixed the double upscale :>

sinful mirage
smoky oak
#

nice lol

sinful mirage
#

wasnt able to use hires fix much in auto, having lots of fun with it in vlad lol

smoky oak
#

unfortunately, ultimate upscaling seems to be really bad in Vlad

sinful mirage
#

havent gone past latent yet, hopefully its fixed by the time i get there

kind quartz
#

the fame of uniPC is that you can make 12 step and having quite good preview, and you can then render by Euler type of sampler not A version to know how final will look

smoky oak
smoky oak
kind quartz
#

i am not sure. I will send you 1 step

smoky oak
#

my gens I do are 15 steps in DDIM

sinful mirage
sinful mirage
#

eh pros to both, ty for the tip :)

smoky oak
#

I do tons of gens till I find one I like, and I don't like when high res fix changes it drastically haha

sinful mirage
#

ah ye i feel that, so many upscalers now, seems a few are pretty recent

sinful mirage
ripe cedar
#

Where are the denoise settings for upscaling?

sinful mirage
ripe cedar
# sinful mirage birb

I have an image already made in another folder, so I need to upload it into the UI before upscaling, so text2img won't work

uneven oar
smoky oak
#

That is pixel upscaling, not generative upscaling

ripe cedar
#

I can't upscale an image I generated and saved in another folder? I have to do it after its generated within the UI?

smoky oak
#

if you wanna do diffused upscaling, you need to use img2img

ripe cedar
#

Ok, I'll play around with that. Its a noob thing so I'll learn. But, a different issue:

#

I used an add-on to make a mask as a test

spiral hill
#

how to create pictures?

crystal deltaBOT
#
FAQ: How do I generate images? Is there a bot on the server?

Currently, there is no bot on the server that generates images. However, there are plenty of other ways such as the official https://beta.dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware! Check out #1080946152318443610 for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!

ripe cedar
#

I used these settings. For some reason it works when I do 512x512 but when its the same res at 1920x1080 I get OOM error Edit: ok hang on, it keeps showing that but in another area in the add on section it shows the generations perfectly, which managed to change the hair color as I was trying.

spiral hill
ripe cedar
# spiral hill ։

You have to download SD. There are lots of tutorials on youtube showing how to install

smoky oak
crystal deltaBOT
#
FAQ: How do I generate images? Is there a bot on the server?

Currently, there is no bot on the server that generates images. However, there are plenty of other ways such as the official https://beta.dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware! Check out #1080946152318443610 for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!

ripe cedar
#

I used Segment Anything to more precisely select a mask of hair from the original generation. However, you can see it draws hair within the mask, rather than changing the color in a normal way. How to do it properly?

smoky oak
#

Does anybody happen to have a recommendation of where to start learning python? I have a potential job opportunity and it is paramount that I start learning python as soon as possible

wispy nest
#

but i think the kind of tutorial you want depends on your background and context

#

if you know other languages you may just wanna read a syntax sheet

#

and get the quirks

#

if you're new to coding in general you need a tutorial that has all the basics

smoky oak
#

I know 0 code, but I am an extremely fast learner. I need to learn how to properly interface with diffusers, which my friend is telling me is extremely easy, and his place of employment is hiring, so he's offering me a sort of suggestion of what to learn to apply

wispy nest
#

python is very easy to learn because it has a very intuitive syntax

smoky oak
#

He said my experience with SD and image generation in general as well as model training is already a lot of positive things, and if I can prove myself useful with basic diffusers interfacing, I could land myself an extremely well paying job

wispy nest
#

it is like a gold rush right now

#

the last one

dense tapir
#

@smoky oakI am losing my patience with Vlad.

smoky oak
#

That was short lived-

dense tapir
#

I gave everything I was given about the OOM issue but it apparently wasn't enough. I can't shit information I wasn't given.

smoky oak
#

That was a real rude response from him

dense tapir
#

Yes

smoky oak
#

big yikes IMO

dense tapir
#

Hence, my response. Seriously, he was given all the information I was given.

#

I have to hand it to the InvokeAI devs they were top notch with a bug as I gave them the info and they remoted in to my machine and saw it then fixed and a PR all in under an hour.

smoky oak
#

Thats the type of development we as a community need

dense tapir
#

I agree

smoky oak
#

I'm currently taking the very anxious dive into python

dense tapir
#

good luck. Python isn't hard it just demands formatting that is beyond stupid. If you never programmed before you shouldn't have an issue with it.

smoky oak
#

I haven't, luckily

#

I have heard from many people that python is quite easy to get into. Here is hoping. I have a once in a life time opportunity being hinged on me learning python

dense tapir
#

As I said it is super easy and why we have the majority we do in this community merely script kiddies. It was actually written to be just that so monkeys could use it, no offense. Make it super simple so you idea(s) could be tested. The rapid prototyping of the computer programming world.

ripe cedar
smoky oak
#

Gotta love when you have a python error before you even start the tutorial

#

._.

dense tapir
#

Don't get frustrated and take your time.

smoky oak
#

I am doing a tutorial that does the typical "hello world" thing

#

and before I even type anything, I have errors lmao

dense tapir
#

probably that tab/space shit that bites me hard

smoky oak
#

no like, making the project threw errors lmao

#

I wasn't even able to type before it was already giving errors

dense tapir
#

coming from c++/C background we aren't that strict about whitespaces.

#

well, damn

#

no clue about that

smoky oak
#

I click on debugger and I get an error saying it can't load lmfao

surreal thistle
#

Benedict Cumberbatch as Genghis Khan.

wispy nest
surreal thistle
wispy nest
#

no how the AI sees

#

because it is a clever way of data compression and we are extracting data from it by decompressing it computationally

#

and it probably sees similar to us, by abstraction of perceived patterns into components that in combination can recreate a much broader set of patterns than the originally perceived ones

#

it compresses the information but also expands the space of possible perceived patterns

surreal thistle
wispy nest
#

right, so we explore latent space with our clunky word input

#

but in the full latent space, there are more things to describe outside of the word input

#

because the way it is stored or compressed, the model itself, it allows for a much broader application because it is abstract

#

so how do we access that through just words, it is a very specific combination of words that opens access

#

holy shit just had a stroke writing that

surreal thistle
#

Get a life. /s

wispy nest
#

the more words we use ,the more precise the location in latent space we explore because it is like an anchor

#

or something, i'm not a datascientist

#

i'm just imagining things thomas

surreal thistle
#

AI conjures images out of nothing, they didn't exist before.

#

So they can't be mapped onto a specific location in the latent space.

wispy nest
#

no it just abstracts the essence of the data we feed into it and generalizes it

#

and we explore the space of possible images based on the concepts it learned from the data

surreal thistle
#

Now that makes sense.

wispy nest
#

and the sentences we put into it, or edge data, or pose data, etc, it just serves to move around that abstract space

surreal thistle
#

你很聪明。

wispy nest
#

maybe some math genius can elaborate if there are sets in the output of these models that are not accessible via the input methods we have

wispy nest
wispy nest
#

we have less than one year until AI has juiced out every smart person on the planet and we have nothing more to add to it

wispy nest
#

maybe it knows

worthy bobcat
dense tapir
#

@smoky oakVlad informed me that his fork uses more vram than auto's does.

smoky oak
#

ok, so I was RIGHT

#

it used more in all of my tests

dense tapir
#

He said that my 6gb and smaller are too old.

#

I am lucky, then, that sdp uses less mem but that is why xformers no longer works for people.

#

not sure how, or why, his would use more vram since he is a fork though.

smoky oak
#

no idea

dense tapir
#

he said people who said rez 1234 will now have to use 1233 (iow they will have to reduce their resolution).

#

if they wish to use xformers that is

#

I know I will not be submitting tickets henceforth, that is for sure.

smoky oak
#

hmm...

#

seems very weord

#

*weird

dense tapir
#

What is the default interrogator in auto?

#

I can't use this one in vlad

smoky oak
#

I don't recall

dense tapir
#

There is a new game in beta people are complaining about as it uses up to 19GB of vram on normal settings and on a 4090 can't even get 30fps at 1440p

#

as others have said 16gb is the new min and you must have DLSS/FSR to make the newer titles playable.

#

engine is Unreal Engine 4 I think he said

smoky oak
#

hmm

#

weird

dense tapir
#

devs who design are saying be prepared as it is what it is and expect these demands going forward as no one optimizes now

smoky oak
#

I know cyberpunk 2077 OD is extremely hard to run, but for good reason

dense tapir
#

we have gone back to the 1980s and 1990s where the mantra from software devs was "just buy better hardware".

#

leave it to their devices we will all be needing 128GB vram cards within 10 years

#

which isn't going to happen

smoky oak
#

I'm wondering why most people abandoned texture streaming

#

it works damn good, and didn't cost really any extra time or money

dense tapir
#

I don't know

#

I am still wondering why the industry just will not optimize now. I think laziness since they now have hardware to take up the slack so it will keep getting worse and worse

#

then they will hit a brick wall

smoky oak
#

The ones that do still optimize are not employed at major studios anymore it seems

#

although, there are still really good games being made, just not by the studios with big history in their names

dense tapir
#

agree

#

yep, I cannot use interrogate using the exact same model in Vlad's as it simply is OOM. In auto's no issue

#

I really need at least 8GB for vlads

ripe cedar
dense tapir
ripe cedar
dense tapir
#

the extension problem is not vlad's issue it is poor programming by the extension authors. For instance WD14 tagger had to have 1 line changed and one removed/commented out because of the way he wrote it.

#

Now I have an extension (SAG) that just doesn't work. I suspect it has to do with how it hooked into auto. Stuff that hooked probably ceased to work.

dense tapir
#

He said it worked on an older commit but on the latest it ceased to work. I let him know.

#

Hmmm, I had a 4090 check and this worked in vlad. Must just be vlad and my old card

#

might be a pytorch2 and old card issue or something /shrug

sinful mirage
dense tapir
sinful mirage
#

blueberry

dense tapir
#

@smoky oak

smoky oak
#

peeng

#

I have no idea man

dense tapir
#

look above at the two images

#

see, wtf?!?

#

auto was never this random

smoky oak
#

I will say, when doing all of those owl gens, they actually did have very small variations in Vlad, even for me

#

which is weird cause in auto I have pixel perfect recreations

dense tapir
#

if they minorly change for you would explain why they drastically change for me

#

Got it.

static tusk
#

Guessing here, but its likely the variation seed - strength 1.3 ?

dense tapir
#

no the -1 variation seed

#

set it to 0

static tusk
#

in auto thats under the extras tick box

dense tapir
#

yeah, I never use it as it was for batch work and I never click the extra box for eons

#

that leaves just the SAG extension so I hope he can help figure out why it doesn't work even after I just reinstalled it

tired basin
#

you got a url for the SAG extension?

dense tapir
#

@tired basinhttps://github.com/ashen-sensored/sd_webui_SAG

GitHub

Contribute to ashen-sensored/sd_webui_SAG development by creating an account on GitHub.

sinful mirage
dense tapir
#

Tat watermelon looks sus

surreal thistle
#

Some of my best girls today.

dense tapir
surreal thistle
dense tapir
surreal thistle
#

At least give me some feedback, like what do you like and not like.

dense tapir
dense tapir
#

Not sure how to answer that

surreal thistle
#

Public opinion is important in all cases.

echo terrace
#

a cat

dense tapir
#

First one has more feminine features

surreal thistle
dense tapir
#

These two are the most feminine with the first holding the crown

sinful mirage
#

I saw some images made with sd that combined 2 prompts by having it do the first half of the render with one prompt and the 2nd with a separate keyword, does anyone know what this is called or how to do it? ty :)

surreal thistle
#

These two aren't as feminine.

dense tapir
#

No, they aren't.

#

@hasty nova

surreal thistle
dense tapir
#

First one for me then 2 then 3

#

3 a bit more masculine

surreal thistle
#

Is there a combination of words to give them more feminine features?

#

Cause I'm sure I gave the AI enough information that they're supposed to be girls.

dense tapir
#

not sure

surreal thistle
#

They're still all fine though.

#

Tomboys are appreciated as well.

sinful mirage
dense tapir
surreal thistle
#

That's basically all of the good ones.

sinful mirage
#

([portrait of a skull | beautiful valley with trees]:1.1), highly detailed, photorealism, concept art

dense tapir
rain gazelle
#

evenin'

dense tapir
#

Fem with a streak of tom boy you better look out in her

sinful mirage
dense tapir
sinful mirage
dense tapir
hasty nova
#

Looks good @dense tapir

#

Wait is that clown one dd?

dense tapir
#

which one?

hasty nova
#

I guess the last two you just posted

dense tapir
#

They all are

hasty nova
#

Damn

#

Those are things I didn't think it could do, are there embeddings?

dense tapir
#

Why I can't wait for V2

#

1 HN and 2 locon I made. I need to check them out with my old embeddings

#

I never leave home without my HN I made

hasty nova
#

I see, that's how you are getting that style

dense tapir
#

I guess

hasty nova
#

Looks awesome

dense tapir
#

I miss making embeddings

sinful mirage
dense tapir
#

trying that last one with one of my embeddings

#

I don't think I made this one but can't remember

#

No, I didn't I remember now

hasty nova
#

Still looks cool

dense tapir
#

the thing about embeddings is you just never know how they react with different models

#

same, now, with lora/locon

#

This is my embedding

#

My embedding folder is a hot mess

hasty nova
sinful mirage
#

i need some positive embeds, only have the neg ones

dense tapir
#

Why not?

hasty nova
#

Digital Diffusion used to be an embedding

#

Because xformers causing issues and such

dense tapir
#

then move over to pytorch2 and SDP

hasty nova
#

I am but I'm not sure that's working with training? I'll have to test it again, but I tried once and oom

dense tapir
#

I do not know but it should. The problem is the devs. Embedding inside Vlad is SDP

hasty nova
#

Oh, well then I might try again

dense tapir
#

Yeah, I could train in auto using xformers but so damn slow

rain gazelle
#

evenin'

dense tapir
#

AMD is about to follow in the Nvidia footsteps and do a stupid release for over priced 8gb card

#

7680 I think it is

#

You see no one out here gives one damn how much it cost them to make so if you can't make it for what people are willing to pay then don't make it. They are starting to wise up to that. A VERRRRRY hard pill to swallow for them.

#

using my wolverine embedding I made last year

#

back when all this was fun and people were making all kinds of embeddings on here

sinful mirage
#

ye i remember u from months ago, still havent gotten into any sort of training myself

dense tapir
#

Well, I miss those times it was damn fun for us all.

#

Now it just seems to be all cloud based, or going that way, with porn galore and if it isn't anime related no one cares.

#

I expect it to pick up with SDXL then fast die back down especially if it is going to have near to, or the the same, hardware reqs of that dumb deep floyd

#

We'll see though

sinful mirage
#

im at 8gb so im pretty much stuck here lol but i can do a lot with a little these days so who knows

#

the optimizations have come a far way lol like 5x

dense tapir
#

10-16gb for SDXL expected and 16-24gb for deep floyd

sinful mirage
#

i used it a lil and the img2img is pretty good, gotta try it more

dense tapir
#

well, I can't run it and I refuse to touch web based

sinful mirage
#

same other than some huggingface things to try the new chatbots, nothing too crazy so far

dense tapir
#

Here we go. Let's go to the circus

hasty nova
#

And tons of embeddings that are of decent quality, one even has almost 9k downloads.

#

So yes, you can do a lot with a little.

dense tapir
#

You know in Vlad's I just can't get inpainting to work right. I dunno if there is some setting or what is up

hasty nova
#

What's wrong with it?

dense tapir
#

I use it to fix faces in auto but here I do the same and it doesn't work. really weird

sinful mirage
hasty nova
#

Just look up Adventure Diffusion, it's a 1.5 embed with a bunch of dls

#

The model general is using is my latest creation, a checkpoint (not the embedding) by the name of Digital Diffusion

dense tapir
#

it doesn't even match the colors

#

inpainting needs its own set of settings

rain gazelle
sinful mirage
hasty nova
sinful mirage
#

([advntr | clrs | skull]:1.1), paint splash, dripping ink, photorealistic, tropical colors, highly detailed, Greg Rutkowski

dense tapir
#

yeah, it is broken

#

changes the color and all

#

You can see it happening in the live preview

sinful mirage
dense tapir
#

that prompt was "along came a spider"

#

I'd play that video game

#

Probably need a 48GB gpu though

#

in times of need one always has death

sly gazelle
dense tapir
ripe cedar
#

Anyone use ComfyUI? It's pretty reliable, although nodes aren't for everyone and some functions are cumbersome

dense tapir
#

@ripe cedar I love nodes having used DaVinci Resolve a lot but comfyUI is far from comfy. I wish he would look at how resolve did them as they are more in the background if you want the power while giving you a basic interface at the same time.

brazen anvil
dense tapir
ripe cedar
#

I've been trying to combine ControlNet with GLIGEN (basically a regional prompter) but can't get the ControlNet node to connect, as the KSampler can only accept 1 positive input. If I connect it, thenit loses one of the GLIGEN nodes input. It's a lineart ControlNet with multiple characters; I'm trying to see if its possible to give each character specific colors on hair, clothes, etc.

dense tapir
brazen anvil
#

for example,, this is my playground xD

ripe cedar
#

Like this? I think discord takes out metadata from images, and also removes json files

tired basin
#

Nothing about that looks simple/user friendly 😛

ripe cedar
#

Its also quite fast, and rarely bugs out

brazen anvil
#

Have you made images with multiple characters before? I think the easiest way would be using an AreaComposition, either in the "vanilla" way that comes in the wiki examples or using custom nodes, let me review Daveman's nodes and I'll tell you

ripe cedar
#

Yes. However, I wanted enough control to make consistent characters, which is why I used 3d and extracted line-art to use an input for ControlNet

#

The composition is easy to make with ControlNet; I just need a way to ensure color control on each thing like the hair, shoes, etc.

#

I was trying to use the regional prompter extension in Vlad, but it got errors

#

I also tried to use Segment Anything with GroundedDINO in Vlad and I got OOM errors and others

brazen anvil
ripe cedar
#

I also tried to use instruct pix2pix and it changed the hair color to what I wanted at one point, but then changed the entire picture's color for other stuff

#

I didn't download it

brazen anvil
#

im having dinner atm, im going to check it in detail in 20 min and try gen something

ripe cedar
#

K ty

#

I'm having treatment at the doc tomorrow and it's late here so I'm off the PC. If I'm awake I'll see what's up in bed

#

If there's a way to use img2img with ControlNet for the colors, then that could work too. I can flat-shade the 3d characters and the result would be a direct overlay on top of the line-art (if need be) because the image is if the same scene, just rendered differently

#

For example, this image was made in Maya (nothing to do with SD). However, it's a combination of line art and color, each which can be its own layer. So if I could use that line-art and it's base flat colors, SD could add its own shadow, clothing folds, style, etc.

#

I used that character (on the right) to make a pose, then line-art, and then feed the line-art into ControlNet. But I just can't control the color with prompts alone. But I'm impressed with how ControlNet kept the hoodie strings, hairstyle, etc. I didn't clean up the line-art (lines were messed up because I didn't do the weight painting properly in 3d) so there are some messed up parts, but it's really good in what it does. What's why I only did color prompts, no compositional prompts.

dense tapir
wispy nest
#

for reference, that is exponential growth on a logarithmic scale, meaning it is double exponential

#

i'm sure that we will solve a lot of problems very fast

wispy nest
kind quartz
wispy nest
#

i'm testing a prompt engineer

#

so far pretty good images

kind quartz
#

cant get godzilla to work properly and sudently nothing but it.

wispy nest
#

maybe i can help

kind quartz
#

no thank you, i modified it, but should be part of name of image 🙂

dense tapir
kind quartz
#

she is going forward unstoppable as Terminator 😄

dense tapir
#

🙂

edgy shard
#

From this and me wanting my original character art design remade

#

To this, which took me quite a while but was WELL WORTH IT.

#

this took me about 3 hours? i'm not sure if i'm doing good yet or not lol

distant cloak
#

niceee!

edgy shard
#

i am losing my mind at how incredible this is

distant cloak
#

its magic fr

edgy shard
#

wow that's crazy

distant cloak
#

hehe thx

edgy shard
#

orangemix?

distant cloak
#

this is ghostmix

edgy shard
#

looks like it could be a merge

#

Huh.

distant cloak
#

u havent tried ghostmix??

edgy shard
#

no i am trying to go for more "anime movie" production quality visuals

distant cloak
edgy shard
#

counterfeit

#

freaking love counterfeit, whatever it sourced from is just nuts

#

i get huge consistency from it

distant cloak
#

it is pretty good. but imo I like MixProV4 better for anime

edgy shard
#

yeah i downloaded mixprov4

#

it was very aggressive

distant cloak
#

ya thats true

#

for your character are u specifying each color and clothing in your prompt?

edgy shard
#

i inpaint color.

distant cloak
#

im wondering how i should do it cuz it looks fun to try something similar

edgy shard
#

sure let me show you

distant cloak
edgy shard
#

sec

dense tapir
edgy shard
#

turn your volume down a bit i get loud (haven't hooked up my compressor yet)

distant cloak
#

wooow i didnt even know color inpainting was a thing! thx sm for showing me this

edgy shard
#

sure man :D

distant cloak
#

now i wonder if there is some way to "save" these colors and apply them automatically to another prompt

edgy shard
#

not sure, inpainting saves the headache and takes seconds

distant cloak
#

mhmhm

dense tapir
thin roost
edgy shard
dense tapir
thin roost
#

I like the idea of a warrior character with a party hat/favor

dense tapir
thin roost
dense tapir
#

Pretty much

tired basin
dense tapir
kind quartz
#

would be fun to add some empty speech buble and fill it with anything 🙂

dense tapir
smoky oak
#

@dense tapir I'm making pretty rapid progress in python IMO

dense tapir
#

told ya

smoky oak
#

been doing it for about 2.5 hours now, I am already doing stuff like this

#

I made this, then googled cause I knew there was a more efficient way to do it

#

found the while command and boom

#

Pretty proud of that haha

dense tapir
#

a never ending loop while 1=1:

smoky oak
#

what do you mean?

kind quartz
#

if you try ask AI, it should help you even more

dense tapir
#

I mean it is always 1 therefore the loop never ends

smoky oak
#

I am not gonna rely on chat GPT for code. Even a beginner like me can see how inefficient it tends to be

smoky oak
dense tapir
#

while 1 = 1: is a never ending loop

smoky oak
#

oh, I thought you were saying I made it wrong and it would never stop, my bad

#

yeah, its never ending while that value is outside of the range

dense tapir
#

It is used when another input will break it out

#

of course you add a sleep in it else it will bog your cpu down

#

doing a while 1 = 1

wispy nest
#

the magic is not just in the data

#

you can have infinite pictures about a pencil and would still know as much as if you had 10 pictures of pencils

dense tapir
wispy nest
dense tapir
wispy nest
#

A systematic probing framework is introduced to explore the abstraction capability of deep learning models from a transferability perspective, providing strong evidence that two probed pre-trained language models, T5 and GPT2, have the abstraction capabilities. Abstraction is a desirable capability for deep learning models, which means to induce...

#

and this

#

A set of controlled experiments are conducted based on this framework, providing strong evidence that two probed pre-trained language models (PLMs), T5 and GPT2, have the abstraction capability

#

so we probably dont need massive amounts of data but sufficient amounts of data to find out how to create architectures that perform better at creating abstracts and translating them into concrete hallucinations from input vectors

dense tapir
tired basin
kind quartz
#

They usualy have two rows of teeth

wispy nest
#

synthetic data

pulsar jackal
#

logo

wispy nest
#

novel architectures

#

we just need to make smarter models that need less data

#

and not just models, but also ways they can interface with themselves for even more accuracy

#

there is a project that managed to increase accuracy by allowing the model to reflect on outputs before sending them, evaluating them in a self-conversation

#

like a thought process

#

its not all that black and white

#

ofc real data is needed

#

and who cares about copyright to learn concepts

#

if people don't want others to learn anything from their content, they should not release them

#

cannot prohibit thinking and learning

kind quartz
#

AI and programing is very effective. Just one must have some level of programing ability, asking right question and as said, knows how to program

ripe cedar
tired basin
#

Im guessing you didn't get to the comments - the claims made down in the comments were not the sourcing of the images, but the quality of the tagging/captions that dictates the "quality" of the database

#

and thus the eventual quality of the resulting model

#

You were discussing the database, not the technology...

#

Agreed, only those with access to the tech have the massive advantage, but in terms of image databases those are much more available

#

Dunno, but I'm guessing you're about to tell me....

#

There is already a hand pose database..

kind quartz
ripe cedar
smoky oak
smoky oak
#

A YOU IT WETTHEY YOU OHE FOUBET

#

Truer words have never been spoken

#

brings a tear to my eye

kind quartz
#

it was because some arguing and any picture was needed 😄

smoky oak
#

👁️

#

💧

kind quartz
#

it is general with images, and wasnt needed. o.k.

delicate sedge
#

yo guys my friend is making a live 2d model and asked me to make the art for the character itself and i am not really sure how to make it, anyone got any ideas if there is anything i can add to the prompt or a lora or something that can help?

smoky oak
#

it can code, but not as good as many people think

#

I was told and now realize that using chat GPT is a good way to get inefficient code

#

and learn inefficient workflows

ripe cedar
# delicate sedge

What do you need to add? There is Char Turner which helps make a character sheet

kind quartz
#

have you in your code things agains wrong input? 1000 included or not?

kind quartz
#

what if somebody pressed M instead of number?

#

also < or <=?

smoky oak
#

the code chat GPT returned only asks 1 time

kind quartz
#

nothing is easier, just properly ask

smoky oak
#

mine keeps asking until you answer correctly

kind quartz
#

If you check code from AI, you can lear something as well.

smoky oak
#

it uses far more operations, and doesn't ask again for an input, I am not sure its better lol

#

it doesn't prompt a second input

delicate sedge
#

also i dont need different angles

#

just her standing should be enough

#

some examples of the what the aim is

#

can this char turner make similar results?

smoky oak
#

I stand corrected, I see how its doing it now

kind quartz
#

because it has things like except ValueError for example

ripe cedar
delicate sedge
#

thanks

#

let me know if you got any other suggestions too

ripe cedar
delicate sedge
#

oh good idea i will look into that

ripe cedar
kind quartz
#

AI suggested some prompts, curious if example or always different 🙂

neat echo
#

#🏞|general-with-images (full body visible), (thick thighs),ultra realistic 8k cg, masterpiece, pink bodysuit,shiny clothes,((ultra detailed background, delicate pattern, intricate detail)), formal, serious, queen, goddess, divine, (hair over one eye), absurdly long hair, very long hair, blonde hair, looking at viewer, nsfw, breasts out, lace, lace trim, lace-trimmed legwear, (displeased:1.5, anrgy, upset, head tilt, glowing red eye),white background, huge breasts, pussy peek, ocean

kind quartz
#

that is suggested to me

#

what is difference in prediction models?

lament halo
#

Cyberpunk guy

#

Hands still looking weird

kind quartz
#

@lament halo i got similar einstein 🙂

lament halo
#

Cool

#

Yeah I’m gonna try putting Einstein into something

kind quartz
#

einstein is well trained

smoky oak
#

uhhhh

#

what happened to /faq?

kind quartz
#

curious as well

smoky oak
#

tried to send it for the guy above, but all that comes up with table flip

#

hmmm

kind quartz
#

@stone cipher dont worry, same here with context

#

not sure if real like but like it 🙂

#

if no fingers, i cant say

#

i meant if is posible to see from outside to inside of spacesuit

#

i think this isnt real, because it reminds me one picture, where somebody looks over shoulder, but i can be wrong, one cant be sure

#

this is common problem, not sure how and if posible to solve it

#

planet on right and left side

#

yes got such pictures. But if you put something in front of horizon, it happen not sure how frequently

#

no i know have i been pawned 😄

#

This prompt work,
An astronaut floating in space, with a breathtaking view of Earth in the background
but those thing apears in midle ages as well as anywhere else.

#

curious if asking next time for prompt suggestion i get different words from AI

open sun
#

hey ppl, just wrote batch metadata remover script, It's easy to use, put images with gen data or any other metadata in "images" folder, run main.py script and it will clean all images and place them in "_processed" folder.

no plans for UI, if anyone chimes in and adds it, that'd be swell.

kind quartz
#

trying pseudo pixel art

brazen anvil
tiny wharf
#

Does anyone know how to generate videos like these. Ive download sd locally and tried imgtoimg and interpolation with diff. Settings but unable to achieve something like this

ripe cedar
#

I actually posed the example on the anime chat here

tiny wharf
kind quartz
#

Monkey with nicely enhanced M, love it

crimson dawn
kind quartz
#

thank you, dont take it negatively from me, i cant correct it (because i know nothing), but good there is a way.

brazen anvil
#

(masterpiece), (best quality), (official art, extremely detailed CG unity 8k wallpaper), (highly detailed), ((absurdres)), night, sky, a [tentacle moon|(red eye:1.2):.25], light particles, lunar light, looking at viewer.
It's not what I was looking for but I liked the result

glossy herald
#

A little favor/challenge I wanted to post to the artists around here.
I'm trying to finish/complete this oil painting my mother did and never finished.
I do get some results, but nothing really great...
I wondered if someone wanted to take a go at it, see what they manage to do. It's an important piece for me, and I've never managed to really make anything that satisfies me.
I have no specific criteria though, except staying close to the original style maybe ? To be honest, even a tribute is something that does feel good on this, but yeah, I was trying to "finish" it when I started on it

smoky oak
#

Oh whaatty

#

Deepfloyd?

#

That looks sick-

outer spear
#

Deepfloyd making some rather scary faces

cyan shoal
robust path
kind quartz
#

where are you taking images IF?
Try text on perspective something, for example skyscraper 🙂

kind quartz
pseudo aspen
#

Can someone help me with face heading using controlnet and openpose?

#

I want two characters looking at each other but I keep getting them looking at viewer

pseudo aspen
#

lyco:EnvyBetterHands-LoRA:1 , looking at another, masterpiece, sunlight, light shafts, best quality, perfect hands, nice hands, (perfect shadows, perfect lighting:1.3), (extremely beautiful and detailed eyes:1.4), 2girls, AND takao, ((standing)) schoolgirl_outfit, lora:Takao_Schoolgirl-1.0:1, looking at another, lying, smile, (golden eyes:1.4), AND lora:atagolora:1, atago, stunning_speedster, cute expression, perfect eyes, (golden eyes:1.4), light smile, ((standing)), looking at another

outer spear
#

sure is alot of stuff

#

did you trying putting "looking at viewer" in negative

pseudo aspen
#

I'll try, one sec

outer spear
#

I would start with a simple no other stuff prompt like "2girls, looking at each other" then at stuff on top

rain gazelle
brazen anvil
glossy herald
edgy shard
edgy shard
glossy herald
#

this is using Deep Floyd, that just got out

#

generated here

smoky oak
#

so deep floyd is gonna be a model we can download and run evenetually, right?

#

its different to SDXL?

oblique nimbus
rain gazelle
wispy nest
#

was a lot more excited about deep floyd before i saw this

dense tapir
rain gazelle
dense tapir
#

No Windows support and, of course, that page is full of hate.

#

It spilled over into a different post on github is the only reason I know.

dense tapir
#

What I know now about what is coming nothing less than 24GB will suffice for me. Let me know how it goes with training and speed etc...

#

SDXL I might be able to run at 256x256

wispy ether
smoky oak
#

I wonder if that stable vicuna model can be run on normal hardware or if its an unoptimized mess like stable LM 😅

dense tapir
wispy ether
smoky oak
#

but I was talking about the large language model

dense tapir
dense tapir
#

I know you were but I am only concerned with SD.

smoky oak
#

3.0 is not as big as SDXL

#

I talked with devs about it in this chat before

dense tapir
#

Ahhh, cool but either way most people will stick with 1.5

smoky oak
#

SDXL is a bigger version of 2.x with new adaptations that are being tested to be implemented in the new and even more impressive release of 3.0 which is not as big

#

Thats what the devs told me at least

#

SDXL models are 2.5x as big as 1.5, cause they have 2.5x the params, however the dev I was talking about it with said there should be ways to optimized by pruning params for dedicated models

#

like if you want a realism model, you should be able to prune all the params not associated with that, is what they made it sound like

dense tapir
#

Aye

#

the problem is that has negs to it as well. No matter

smoky oak
#

Also, they did mention about the fact that SDXL/3.0 do use a drastically new text encoder

lyric mica
smoky oak
#

The way they talked about it SDXL is just a random offshoot of 2.x with an XL size parameter set

And SD 3.0 is supposed to take the benefits of that and then combine it with a much better data set as well to produce drastically even better results, from what they said

smoky oak
dense tapir
#

All I am seeing is more of a bitch to train. Sad

wispy ether
#

ok this one looks better

wispy ether
#

nvm its 2

dense tapir
wispy ether
#

:I

#

any ideas how to fix the sword dissappearing

#

or the hand

dense tapir
# crimson flower Asking about WD14 tagger.

from pathlib import Path
from argparse import ArgumentParser

default_ddp_path = "C:/Users/omega/.cache/huggingface/hub/models--SmilingWolf--wd-v1-4-vit-tagger-v2/snapshots/1f3f3e8ae769634e31e1ef696df11ec37493e4f2"

def preload(parser: ArgumentParser):
# default deepdanbooru use different paths:
# models/deepbooru and models/torch_deepdanbooru
# https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/c81d440d876dfd2ab3560410f37442ef56fc6632

parser.add_argument(
    '--deepdanbooru-projects-path',
    type=str,
    help='Path to directory with DeepDanbooru project(s).',
    default=default_ddp_path
)

make your preload.py in the tagger folder this, but with your location for the hugging model. The dev, that guy is never going to fix tagger, hes abandonned it for real, so atleast the hard ref to the location is set...i think i might even move the model directly into the tagger folder.

wispy ether