#✨|sdxl

1 messages · Page 55 of 1

boreal bough
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yep! cause that uses 5 separate files. but the core tagging process uses only the single one 🥲

heady vale
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yeah I stop at 40

glad fulcrum
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I need SDXL generated images of WOMAN for my training on my gf

west breach
glad fulcrum
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is there any link with that done?

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well I don't know how many should I use either now that I think about it

nimble heart
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going around asking for woman is a good way to end up on a list buddy

boreal bough
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#priorities

trim orbit
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just go for it and figure it out on the fly. its actually kind of easy

nimble heart
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when you say "get other faces on the body" I just imagine elon musk's head on some plastic doll asian girl body

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bonus points is she has absolutely stuffed up milkies

boreal bough
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I'd joke about using 2 loras - but that's still a bad idea unless you've got your captioning down to a science

nimble heart
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sometimes I wonder what those civit.ai guys put in their datasets

lean knot
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We can't even train batch size 2 without gradient checkpointing?

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Damn

boreal bough
lean knot
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At least I've had no luck

boreal bough
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like what vram, what kinda training, and more

lean knot
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24GB of VRAM

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512,2048 res

heady vale
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GPT 9000 is alive

azure oxide
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aw caith you never responded to the sec tutorial guy, i had my 🍿 ready

lean knot
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From my quick testing it seems about batch size 1 without gradient checkpointing and batch size 4 with it

boreal bough
nimble heart
boreal bough
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link broken XD

lean knot
boreal bough
# lean knot 24GB of VRAM

10~12 is the theoretical maximum on 24gb vram with adamw8bit
I use 8 cause I still like using my pc

lean knot
#

with gradient checkpointing in your case? Or how?

boreal bough
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these settings should get you there.
except you can now use fp16

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(fp16 wasn't working in 0.9 - when I wrote that message)

vast narwhal
lean knot
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I'm not seeing big differences. I'm using bf16 and catching latents to disk, unet only

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I guess I should stick to gradient checkpointing

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But even that was around 23GB of VRAM and bs 4

boreal bough
lean knot
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on a linux PC that I access through ssh

boreal bough
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sure you vram cache is empty, and you're not running comfy or A1111 in background?

lean knot
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And has a usage of 99MB of VRAM without anything on it

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it's really weird

nimble heart
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is it just me or are the 2M samplers totally broken

glad fulcrum
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Is this okay, ? or I need to uninstall those modules? I don't understand what modules are that and if I can brake something..

boreal bough
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check your install. you probably missed something like xformers, diffusers, bits and bytes, or something

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also cudnn

lean knot
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dim or network alpha matter much for memory?

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It may be that

lean knot
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I'll check the logs

upbeat summit
boreal bough
nimble heart
boreal bough
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since linux and servers often dont work with the default install

nimble heart
upbeat summit
boreal bough
nimble heart
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all settings same except sampler

upbeat summit
boreal bough
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I'm on dpm 2m, and getting good results

boreal bough
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using the timestep for extra details on skin & background

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can be removed though, since difference is very minor

vast narwhal
lean knot
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I'll do a test run with bs 4

boreal bough
lean knot
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mmm it's using cu117

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It should be cu118 for torch 2 right?

nimble heart
lean knot
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CUDA SETUP: Highest compute capability among GPUs detected: 8.6
CUDA SETUP: Detected CUDA version 117
CUDA SETUP: Loading binary /home/bot/miniconda3/envs/kohya/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda117.so...

boreal bough
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odd

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you using kohya with gui?
send me your config file. I'll check if some weird setting is added or missing

boreal bough
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you can apply my minimal changes from the screenshot afterwards, to get a bit more performance out of it

lean knot
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I'm still with the old command line and variables. The only think I had to change was the catching latents, because if you use 1024,1024 by default the max res seems to default to 1024 anyways

accelerate launch --num_cpu_threads_per_process $num_cpu_threads_per_process $repo_path/sdxl_train_network.py
--pretrained_model_name_or_path=$pretrained_model_name_or_path
--train_data_dir="$image_folder" --output_dir=$output_dir --logging_dir=$log_dir --output_name="${train_name}-${versionname}"
--train_batch_size=$train_batch_size --unet_lr=$ss_unet_lr
--max_train_steps=$max_train_set --lr_warmup_steps=$lr_warmup_steps
--use_8bit_adam --xformers --mixed_precision=$mixed_precision --persistent_data_loader_workers
--network_dim=$network_dim --network_alpha=$network_alpha
--shuffle_caption --keep_tokens=1
--caption_extension=".txt"
--lr_scheduler $lr_scheduler --min_snr_gamma=5 --network_train_unet_only
--resolution=$max_resolution --min_bucket_reso 512 --max_bucket_reso 2048 --enable_bucket
--save_every_n_epochs=$save_every_n_epochs --save_model_as=safetensors --save_precision=$save_precision --seed=$seed
--network_module=networks.lora

boreal bough
# lean knot I'm still with the old command line and variables. The only think I had to chang...

here's mine for comparison

accelerate launch --num_cpu_threads_per_process=2 "./sdxl_train_network.py" --enable_bucket --pretrained_model_name_or_path="A:/models/SDXL 1.0/sd_xl_base_1.0.safetensors" --train_data_dir="A:/Datasets/Concepts/nier/2B" --resolution="1024,1024" --output_dir="A:/Datasets/Concepts/TRAINING" --logging_dir="A:/Datasets/Concepts/TRAINING" --network_alpha="1" --save_model_as=safetensors --network_module=networks.lora --unet_lr=0.001 --network_dim=8 --output_name="2B_v1" --lr_scheduler_num_cycles="40" --learning_rate="0.001" --lr_scheduler="constant_with_warmup" --lr_warmup_steps="50" --train_batch_size="8" --max_train_steps="35800" --save_every_n_epochs="2" --mixed_precision="bf16" --save_precision="bf16" --seed="1234" --caption_extension=".txt" --cache_latents --cache_latents_to_disk --optimizer_type="AdamW8bit" --max_data_loader_n_workers="0" --keep_tokens="1" --bucket_reso_steps=64 --mem_eff_attn --flip_aug --shuffle_caption --gradient_checkpointing --xformers --network_train_unet_only

since I also use cli

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oh right, buckets can escalate if you have too many of them

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no issue if you have a few buckets, but each one does add a small amount of vram

polar epoch
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When using loras and SDXL, would you need lora between both base and refiner?

boreal bough
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I try to do all my loras with up to like 2~4 buckets - since that has multiple benefits

candid walrus
boreal bough
nimble heart
trim orbit
lean knot
candid walrus
lean knot
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otherwise the upper max was 1024 for some reason

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Now it's this with repeats:
bucket 0: resolution (704, 1408), count: 10
bucket 1: resolution (704, 1472), count: 5
bucket 2: resolution (768, 1280), count: 70
bucket 3: resolution (768, 1344), count: 30
bucket 4: resolution (832, 1216), count: 320
bucket 5: resolution (896, 1152), count: 10
bucket 6: resolution (1024, 1024), count: 5
bucket 7: resolution (1152, 896), count: 10
bucket 8: resolution (1216, 832), count: 25
bucket 9: resolution (1280, 768), count: 5
bucket 10: resolution (1344, 768), count: 140
bucket 11: resolution (1408, 704), count: 60
bucket 12: resolution (1472, 704), count: 85
bucket 13: resolution (1536, 640), count: 40

boreal bough
candid walrus
boreal bough
nimble heart
trim orbit
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the artifact is that the cat is brain damaged or hd a stroke

boreal bough
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XD

upbeat summit
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more like infected with VAE thomas

nimble heart
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I feel like the mimizukaris workflow uses so many steps the artifacts just slowly fade away

boreal bough
nimble heart
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but when you use an actual sane step count like 30 it shows fucked up

trim orbit
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it got the VAEds

boreal bough
upbeat summit
boreal bough
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bit big - but it shows exactly what you're experiencing

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I just take the performance hit and go for 66 steps now

nimble heart
dapper current
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For 2M are you using Karras or Exponential?

nimble heart
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maybe lms is just shit tho idk never used it

dapper current
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I always do with those

nimble heart
dapper current
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Try Karras

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Especially 2M_SDE

nimble heart
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karras ruins return noise for the refiner

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pretty sure exponent does too

dapper current
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You have to set both base and refiner to the same scheduler

nimble heart
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Y E S

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and it's fucked up

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with karras

dapper current
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Hmmm

boreal bough
nimble heart
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I'm not crazy I've tried just about every combo by now

boreal bough
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keep in mind, multiple setups used to rely on 100~150 steps in 1.5

trim orbit
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ok well, somethings broken, so like, double check

dapper current
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I'll give it a whirl when I'm back at a PC

nimble heart
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I use my Principled node which physically does not allow you to have different samplers/scheduler for refiner/base

boreal bough
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its why euler a, and other ancestral setups became so popular, because they run damn fast

candid walrus
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so what is everyone using for sampler/scheduler on a base/refiner setup?

nimble heart
nimble heart
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No

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Caith just confirmed the results my node is definitely programmed correctly

boreal bough
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20 steps 😂

candid walrus
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sad racoon

nimble heart
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I'm not about to render a bunch of 90 step test images or whatever to show that the artifacts are invisible if you put in 3x the horsepower

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gonna go eat

boreal bough
candid walrus
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yeah it looks like _sde without the 2m is the best at the low steps when using the refiner

lean knot
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@boreal bough Thanks for the help! It seems like I can do batch 8 with gradient checkpointing now. Added this:

--cache_latents --cache_latents_to_disk --gradient_checkpointing --mem_eff_attn --bucket_reso_steps=64

vale eagle
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I always use 100% base on 2m sde karras

heady vale
boreal bough
# vale eagle I always use 100% base on 2m sde karras

if you run base -> refiner
then you're essentially handing the refiner a chaotic unfinished image
meaning refiner does more - which has its positive and negative parts.

but for many artstyles & photos, refiner is just way too biased, so 2m sde stops being an option, since we want the base to do exactly 80% of the work

vale eagle
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Would we train the refiner to expand its scope to solve the biase issue?

nimble heart
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If you're using 2m karras ofc the refiner is gonna look like garbage. The karras scheduler ruins the partial diffusion technique and 2m has noise problems anyways

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if you're addicted to 2m karras coming from a1111 try unipc / normal. Does similar things but isn't broken

boreal bough
# vale eagle I think refiner kinda limited the output to its biase. Why would we use the refi...

ah no. not what I mean, I was only referring to control. Refiner is an expert at the last 20% of image generation - so ideally we want him to focus on exactly that - not more nor less.
2M SDE causes irregelar noise patterns which the refiner wasn't trained for. So it can end up causes some glitches to persist, and at the same time cause certain refiner bias to pass through, when it does too much work. (but on a positive note - it will significantly add detail if it works - albeit the details won't be varied nor very original.)
"photograph of a brown haired woman" essentially always creates the same face for the woman, if the refiner is given enough steps & chaos to do its thing. (this is a bit of an extreme example - but the thing is that you won't know if bias is happening or not)

nimble heart
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I prefer the refiner @ 15% tbh

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sometimes it overrefines @ 20%

lean knot
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I'm not up to the with the conversation, then which samplers are recommended?

nimble heart
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turns nostrils into eyes

lean knot
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I come from A1111 using sde karras

nimble heart
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that's without the reinfer right ^

midnight shuttle
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Seems there is a market for a really good GAN just for making people. SD is a diffuser which is somewhat good at many things but not excellent at anything. Instead of base and refiner maybe the next model should be art model + person model.

boreal bough
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yep - but refiner only adds 'details', it doesn't like change composition

boreal bough
nimble heart
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just upload that picture and it'll speak for itself

boreal bough
nimble heart
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Maybe

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Comfy would know if it is or isnt

boreal bough
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thought it was just the fact the weights got readjusted + pruned model (less accuracy)

autumn forum
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cool side effect of the lora im making. if you crank up the values. you get very liminal pictures...

nimble heart
nimble heart
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so I assume its an sdxl config issue

autumn forum
# boreal bough noice

also thanks to masslevel for helping me with this but my lora also improves coherence by a ton.

boreal bough
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meanwhile I feel like my lora guide is turning into 90% FAQ and 10% guide 🤣

midnight shuttle
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I don't see how it could be a Comfy issue. Seems to be more of a side effect of how the samplers work.

autumn forum
vale eagle
nimble heart
autumn forum
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before and after. look at the tiles on the ceiling

nimble heart
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not saying comfy's is but maybe 2m needs a compatibility patch for SDXL

boreal bough
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will take a bit though, as I'm doing a comprehensive guide - that mentions all the different kinds of loras that can be done with sdxl, and a full walkthrough of each type

nimble heart
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always fun seeing commits like this

boreal bough
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comfy: "I release and check sdxl chat if there are complaints."
also comfy: "there were no complaints again. nice."

nimble heart
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both

wicked frigate
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cause 2m_sde and lms are just bad samplers

nimble heart
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dpm++ 2m and its sde version

wicked frigate
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regular 2m should work well (with karras scheduler)

nimble heart
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with normal scheduler it produces super broken images on SDXL.
karras scheduler doesn't work well when using the refiner

boreal bough
nimble heart
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sd 1.5 you can use dpm++ 2m normal without any goofy ass artifacts

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so I assume it's an sdxl base model compat issue

wicked frigate
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i mainly use dpm++ 2m, without issues

brazen patrol
wicked frigate
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i do not use sytan's workflow

boreal bough
wicked frigate
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... i also rarely use the refiner at all lol

nimble heart
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turns everything into stained glass

brazen patrol
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I am using Comfy's basic Base+Ref

rich coral
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Is there some sort of 'Interogate Clip' image reverse lookup thing that is more applicable to SDXL?

boreal bough
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works especially well for real life photos. works okay for most artwork/renders

rich coral
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Hmmm, is that something I can use on a site?

boreal bough
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can't help there - as I run it locally

upbeat summit
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dpmpp_2m_sde karras 20 steps (just base)

wicked frigate
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oh yeah. 2m x normal is pretty fucky. But karras is fine.

vale eagle
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just use the base is ok.

rich coral
west breach
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I tend to use simple for everything

boreal bough
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a1111 + "interrogator" extension

rich coral
upbeat summit
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dpmpp_2m_sde normal 20 steps (just base)
uff 🙂

boreal bough
azure oxide
lean knot
nimble heart
boreal bough
nimble heart
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mabye it denoises in a weird pattern that the refiner isn't built for

boreal bough
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karras does things differently - which is good when it works alone, bad if you try to interrupt it midway

brazen patrol
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So what is the test? 2m+karras at 20+5?

nimble heart
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never when refining

azure oxide
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does sytan do anything funky with noise? his workflow looked fairly simple to me

nimble heart
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his workflow stops the base before it finishes denoising and has the refiner finish the noisy image

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which is how the refiner is supposed to be used iirc

zealous horizon
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Rainbow colored nodes in Comfy 🙂 ❤️

Because those default colors just don't satisfy me

nimble heart
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yea in the latent preview it always looks more or less fine till the last step

boreal bough
nimble heart
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think he reduced it so it's not 2/3 anymore for 1.0

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only like 20% now

rich coral
boreal bough
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yeah now it's more like 4/5+1/5 - which checks out for how the refiner was trained

boreal bough
nimble heart
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20% is nice for photoreal

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but on artwork it keeps turning my dragon nostrils into eyeballs

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so 15%

upbeat summit
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dpmpp_2m_sde
normal
38/40 steps

nimble heart
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yea I think something near the last step rogers it

west breach
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92% base, 8% refiner also works well

nimble heart
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do 39/40

boreal bough
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I've essentially gone the mcmonkey route and base only.
since that works best when messing with loras

only when I do film like prompts do I switch back to full setup

azure oxide
upbeat summit
boreal bough
upbeat summit
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I mean we had that issue in a1111 before

nimble heart
#

10/10 vs 10/9

west breach
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try doing a few steps with a low cfg like 5.5, then passing to a base sampler with a high cfg of 9.5 - 10.5

livid basin
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Hi, is there any advice on the VAE for SDXL 1.0?

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Should we use the reverted VAE on hugginface?

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Or use the default VAE in SDXL 1.0

boreal bough
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0.9 vae

upbeat summit
nimble heart
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uhhh I did dpm fast for 10 steps wtf

west breach
upbeat summit
queen ether
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Dors anyone know why sdxl makes a .npz file during lora training? What does it even do? Just curious

digital shoal
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any way to change font size on comfyui for my prompts?

queen ether
#

@west breach ooo

nimble heart
digital shoal
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that just zooms in and out, i was wondering if there was actually a way to change it

brazen patrol
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2m_SDE Karras 20+5

livid basin
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Thanks for the advice @upbeat summit @west breach @boreal bough

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I'll overwrite my save file of SDXL with the reverted VAE on hugginface

nimble heart
brazen patrol
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Since you mentioned dragons:

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samurai with sword fights white dragon, epic, legendary, award-winning illustration

livid basin
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Although I am surprised they haven't fixed the SDXL 1.0 checkpoint with the reverted VAE

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Seems like it would make sense to just replace the VAE in the hugginface SDXL 1.0 repo as well, rather than just the VAE repo

midnight shuttle
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Probably taking a few slow days after sprinting to get 1.0 released. They'll probably fix it once they definitely identify the issue.

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It doesn't happen to everyone.

livid basin
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Fair

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The artifacts are not super obvious

nimble heart
#

also used the non-2m sde since the 2m version is borked

brazen patrol
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I don't normally use Karras. I was merely doing so to see if something strange happened

nimble heart
# brazen patrol

I'd say the dragon scales and his face looking like soup is pretty strange

livid basin
#

No love for the UniPC scheduler?

nimble heart
#

unipc is good

west breach
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what does the Epoch setting mean here? I usually just set it the same as the max epochs

nimble heart
livid basin
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Ah I see

nimble heart
#

unipc looks like this on that seed

livid basin
#

UniPC converges I think

brazen patrol
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It is one of my top 3: euler, 2m_SDE_GPU and uni-pc-BH

livid basin
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Does UniPC not converge when using the same seed?

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As in, same seed, same pic

nimble heart
#

against itself yes. not against other samplers I don't think

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maybe needs more steps

livid basin
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Ah I see yah

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I think UniPC looks similar to DPM++ 2M

vast galleon
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I got inpainting working if anyone wants to try. Just upload the image, take it to mask editor and save a mask, then run. Still rudimentary, but it works.

digital shoal
#

looks great

upbeat summit
nimble heart
west breach
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what does the Epoch setting mean here? I usually just set it the same as the max train epochs

vast galleon
#

anyone know how to properly feather a mask?

nimble heart
#

vaseline

zealous horizon
livid basin
vast narwhal
nimble heart
livid basin
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I was using 2M with the diffusers library, and it seems to look fine

#

Perhaps broken in AUTO?

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Or comfy

nimble heart
#

I'm using comfy

upbeat summit
west breach
#

Can you rename a custom node without breaking an old workflow? E.g. If I improve a node and I want to use the same name, but don't want to break an old workflow that used the old version of the node

nimble heart
brazen patrol
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so here is an image with 2M_SDE and 20+5

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and this is with 25 and no refiner

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I prefer the one with the refiner

upbeat summit
nimble heart
upbeat summit
brazen patrol
#

Look, as much as I sympathize with whatever issues you are having, I am not seeing it

west breach
brazen patrol
#

Certainly nothing that screams: refiner is broken, or 2mj is broken

upbeat summit
#

most just update their nodes

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so if it breaks, it breaks

nimble heart
upbeat summit
#

WAS updated his save image node and than all my widget settings were like:
Quality = PNG
Format = 100
because he added a widget parameter

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so the queue wouldn't run, before I fixed it

brazen patrol
west breach
brazen patrol
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(the second being with no refiner

upbeat summit
west breach
#

@upbeat summit with V3 you can use multiple styles and multiple loras by using the lora:lora_filename style:style-name syntax instead of selecting them. was starting to find the very long list of styles annoying to scroll, and you can only pick one

boreal bough
#

fun idea. comfyui could be turned into a factorio like experience if you're willing to program an insane amount 🤣

west breach
#

oh and you can select a image size or set a custom one

nimble heart
#

all the small details look substantially worse on the karras

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like look how the dragon's beard is soupy on the karras but clear individual strands on normal

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scales are uneven in karras as well. Lumpy and mis-sized in some places

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poor dragons were in the fukushima reactor meltdown

brazen patrol
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Both with refiner?

nimble heart
#

yes

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you can open the images in comfy to see

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50 steps, 42 base 8 refiner euler sampler
only difference is normal vs karras scheduler

boreal bough
nimble heart
#

but will it work

boreal bough
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would insta solve face issues, and only doubles training time, rather than x6, while avoiding overfitting

thin nova
#

bold claims

boreal bough
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it will work if we use it exactly like the refiner model - with denoise set to 20%

upbeat summit
nimble heart
#

interesting

autumn forum
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is there a purpose of fitting all training lora images to 1 size or if they are different sizes that okay becuase of buckets?

crude sparrow
#

whats the difference between the 2?

boreal bough
#

would also save vram funnily enough

nimble heart
boreal bough
crude sparrow
#

whats the error

nimble heart
#

vhs lines

crude sparrow
#

dont think ive had it

upbeat summit
timid sonnet
midnight shuttle
boreal bough
upbeat summit
timid sonnet
crude sparrow
autumn forum
boreal bough
#

you dont want bucket 1 to have 60 images
then bucket 2 & 3 with 1 image each

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other than that, all good

crude sparrow
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also what about these

midnight shuttle
boreal bough
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have at least as many images as your batch size, in each bucket

midnight shuttle
timid sonnet
#

@upbeat summit

rich coral
# boreal bough remember to use Vit-H in the clip selector!

ahh very cool... I had some images I made with MJ using a text prompt and three image prompts. I ran the three image prompts through Vit-H and then copy/pasted all three results from the image prompts along with the text prompt into SD and it is giving me some really close looking results.

upbeat summit
brazen patrol
#

what is Vit-H?

trim orbit
rich coral
trim orbit
#

i think there's gradient checkpointing / batching code that solves those issues

boreal bough
trim orbit
#

in my experience its safe to just throw all the images in a folder with whatever AR they got, an go for it

brazen patrol
#

ah cool. I am on Comfy due to performance @rich coral

trim orbit
#

i can't find any evidence in the current code that it's doing that

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i'm no expert coder but i can comb through and find out whats happening to some extent

visual glade
timid sonnet
#

@upbeat summit check your messages

upbeat summit
timid sonnet
trim orbit
#

my assumption is that early versions had it and it became engrained in the lexicon

boreal bough
#

kohya is releasing updates at a rate where no gui can keep up 😭

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I can't just tell people "don't use the gui cause its old"

trim orbit
boreal bough
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I don't blame him either

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I mean kohya is damn productive

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(dev branches - since main is ancient, and sdxl branch still has the typical flaws that are all fixed in dev)

half ivy
#

in simple terms, what is ascore?

boreal bough
half ivy
#

oaky im just not gonna play with the values and hold thumbs 😅

rich coral
trim orbit
#

well i mean, if you mean dev branches, don't recommend those to people in the first place. lol. if people want those they'll find them. they should get experienced enough with main branch to have to want those

#

the kohya gui has a dev branch too. dev2

boreal bough
trim orbit
#

i hadn't checked out the dev branches though. what's good about them for sdxl?

half ivy
#

i see o0

boreal bough
#

at the very least the sdxl branch

half ivy
#

so, a score positive 8 is more real but less creative than a 1

trim orbit
boreal bough
half ivy
#

tx w00t

boreal bough
trim orbit
#

i use main. works for me fine. no errors. finishes without nans. /shrug

#

i been doing it that way since about a week before 1.0 dropped

#

lora training.

#

an 2 TIs

boreal bough
#

dev has TI working, clip working (though I still wouldn't recommend it), sample generation, speedups, better bf16 support, full bf16 support

nimble heart
#

auto dev?

trim orbit
#

full bf16 only works on linux with updated bits&bytes last i checked

vast galleon
#

No need for control net with this workflow. It creates an edge detection mask and blends with a handmade mask in mask editor.

boreal bough
vast galleon
trim orbit
#

no but i mean, i've never left main and i trained a ti like, over a week ago

#

on the gui

#

while 0.9 was out

boreal bough
trim orbit
#

hmm. i still don't see any good reason for recommending a dev branch to people, or for saying the dev branch of the common gui isn't kept up to date.

it would be more encouraging to people to hear how accessible all these methods are now and today instead of saying they're not, when they are

boreal bough
nimble heart
#

is it possible to reproduce a single image from a batch in comfy?

trim orbit
half ivy
#

/installmissingcustom nodes

trim orbit
half ivy
boreal bough
#

so yes I'm pretty damaged from those experiences

trim orbit
#

are you sure it wasn't a configuration issue? you don't seem to have speant much time on it if you can't recall

boreal bough
trim orbit
#

switching branches usually comes with deleting the venv, right?

boreal bough
#

exact same setup

#

yeah, I always create everything from new

trim orbit
#

and why on the dev branch to begin with?

#

testing which feature?

boreal bough
#

turns out not just me having the issue

trim orbit
#

moral of the story, why the dev branch?

boreal bough
trim orbit
#

people recommding dev branches to newbs concerns me is all

vast galleon
trim orbit
#

i'm just saying, for me personally, it's been fine the whole time on the main branch kept up to date. same install i've always used. same venv even. it's kept on keeping on. i run the setup.bat file when ever i pull and the venv gets kept up to date. if there were a bug i were having, you'd best believe i'd figure out why before i deleted and rebuilt that venv. If only to avoid it in the future.

sometimes we can read "issues" and find our own. Then we delete the venv and rebuild it, albeit on a new branch, and it works again. 😮 . when really just staying on main and rebuilding the venv would've been fine.

#

i've had most issues when installing other guis and they screw with something in the global scope that breaks things.

#

i asked specifics about the issues you were talking about. that's all i ever wanted. not vague "i don't knows" and "lookmans"

boreal bough
#

I did give kinda useless answers XD

trim orbit
#

i have a tendency to not beat around bushes. i'm bit of a bushwacker kind of guy

boreal bough
#

🤣

trim orbit
#

chicken signifies nothin it was just first good bushwacker gif i picked xD

timid sonnet
#

what setting do i use in khoya ss to train SDXL models? 1.5?

cerulean bobcat
crude sparrow
#

offtopic but does anybody have any good controlnet workflows?

#

cant figure it out

#

(comfyui)

trim orbit
#

there is none for sdxl far as i know

#

hope i'm wrong

crude sparrow
#

was asking for pre xl modeles

trim orbit
crude sparrow
#

alr

trim orbit
#

sorry dont mean to argu i'll go

timid sonnet
vast narwhal
# vast galleon

I really like the inpanting process, thank you. I want a node to do batch tries, you know where and which node i can change?

vast galleon
vast narwhal
vast galleon
pallid sail
#

Trying to use SDXL to make some cyberdeck concepts for a physical one I want to build. Fun to dig into what sort of future tech images live in the model

timid sonnet
pallid sail
timid sonnet
late marsh
#

Morning from the depths!

timid sonnet
vale eagle
#

@visual glade Sorry for bother you, but I don't know who should I ping for the question. After having multiple conversations with different users, the custom fine tune of the base model should have custom refiner to achieve the best result. The lora which trained on base also should has a refiner version. Otherwise, the original refiner would ruin the base lora output. The original refiner has it limitations and it is not universal. How should we train the refiner? Would SAI release a proper training tools? Might be my precondition is wrong, the refiner is designed for universal and we just misunderstand the workflow. Please correct me if we were doing wrong with base+base Lora->refiner workflow.

late marsh
young mantle
#

Hey could anyone tell me how I can use SDXL? Please

timid sonnet
late marsh
late marsh
young mantle
wicked frigate
#

better/best are relevant concepts

timid sonnet
wicked frigate
#

clipdrop/dreamstudio might be faster or have quality advantages from using experimental new models

late marsh
timid sonnet
#

@late marsh

wicked frigate
young mantle
wicked frigate
visual glade
vale eagle
visual glade
#

but really it depends on what you are training

late marsh
young mantle
timid sonnet
# late marsh

the second one is amazing, the third one has a perfect photo filter on it

high skiff
#

99.9% sure I just cracked high res fix

timid sonnet
#

like as if it was edited in Luminar AI

high skiff
#

@visual glade got a better upscale workflow, and it only uses stock nodes!

late marsh
timid sonnet
#

wewll they wowrk lol

late marsh
#

Yeah

visual glade
#

cool

high skiff
#

base vs 12.5% fix vs 25% fix vs 50% fix

#

base image

#

50% fix

#

2048x res too

#

sending to some colleagues to test

half ivy
#

hi i am here

timid sonnet
half ivy
#

why do ya'll homies put 10k?

timid sonnet
#

10k*?

half ivy
#

yea

timid sonnet
#

because we set the total steps with an integer

vale eagle
#

just end with total steps

timid sonnet
#

and we set the start and end steps as welwl wiwth an integer

half ivy
#

okay thnx thnx thnx

timid sonnet
upbeat summit
visual glade
half ivy
young mantle
#

hey which do you guys recommend me the most, ComfyUI or SwarmUI?

half ivy
#

dissecting all of yr workflows 😆

wicked frigate
#

i'm biased but i'm also right

pallid sail
hardy cipher
#

be a big dawg and get comfyui. your powers will become limitless

wicked frigate
wicked frigate
half ivy
#

nope

wicked frigate
#

you should really look at what swarmui is

half ivy
#

i dont trust that link bro 😂

wicked frigate
#

here's a hint

wicked frigate
half ivy
#

jkkkkiiinnnggg animeLuv

soft zealot
hardy cipher
#

tbh I actually don't know a lot about swarmui. I was an a1111 peasant until recently

wicked frigate
#

SwarmUI = the full power of comfyui, including node editor, with the ability to use an easier UI mode (similar to auto in a way) and bonus power tools like grid gen, and also multi-gpu support for ultrarapid generation

soft zealot
hardy cipher
#

hmm. I'll have to look into that. so I can do all the comfyui stuff though? it's not restricted?

timid sonnet
hardy cipher
#

awesome. I'll check it out

vast galleon
hardy cipher
#

I do miss some of the features from a1111. but it just got too restrictive. I very much prefer the ability to put together a workflow. but I do miss some of the plug and play aspects. and using both is a hassle since my video card can barely handle running one of them

vale eagle
half ivy
#

i feel like im so close to figuring out something good with comfy, just need to push through the pain and frustration a bit longer

wicked frigate
vast galleon
timid sonnet
wicked frigate
vale eagle
young mantle
#

help

#

the "install-windows.bat" doesn't do anything

half ivy
young mantle
#

it just closes without going further

young mantle
#

I'm trying to install it

half ivy
#

i am not here

young mantle
#

thanks anyway

magic dawn
young mantle
#

@wicked frigate

#

Are u here?

wicked frigate
#

hi

young mantle
#

hi!!!!

wicked frigate
#

did you install DotNET?

young mantle
#

yep

#

I did

#

Do I have to reboot my pc?

wicked frigate
#

try running launch-windows.bat?

hardy cipher
wicked frigate
#

uh, maybe, i don't thiiink so though?

high skiff
#

new high res fix workflow I am working on seems to be fast, efficient, have controlable levels of fix/faithful, and also considerably fixes faces

hardy cipher
#

does the job though. to a degree

high skiff
#

its not perfect, but

hardy cipher
#

can't really train stuff. but easy to do online

young mantle
#

I'm following this step

#

but

#

it doesn't work

wicked frigate
#

try running launch-windows.bat?

young mantle
#

I don't have it

#

where is it?

wicked frigate
#

is there a StableSwarmUI folder?

half ivy
young mantle
timid sonnet
pallid sail
#

Anyone had longer generation times using the base 1.0 VAE 0.9 combined model than using the normal base 1.0 model?

wicked frigate
young mantle
#

lemme see

heady vale
young mantle
# wicked frigate can you... open a command prompt window, and run `install-windows.bat` through t...

'winget' is not recognized as an internal or external command,
operable program or batch file.
'git' is not recognized as an internal or external command,
operable program or batch file.
The system cannot find the path specified.
'.\make-shortcut.bat' is not recognized as an internal or external command,
operable program or batch file.
'.\launch-windows.bat' is not recognized as an internal or external command,
operable program or batch file.

wicked frigate
young mantle
#

yep but I'm in a modded one

wicked frigate
#

oh. Well. Your mods broke important things? So... maybe don't do that?

#

But uh

young mantle
#

alr I'ma install it

#

and then what I do next?

wicked frigate
#

then run install-windows.bat again

young mantle
#

Which should I use as Git's default editor?

wicked frigate
#

eh doesn't matter you're extremely unlikely to ever use that part lol

young mantle
wicked frigate
#

defaults are all good, only 'add to path' needs to be on

visual glade
#

so, how long until you just start shipping a standalone?

wicked frigate
#

they're installed through winget aka the free automatically enabled built-in windows installer magic tool that just does it magically. And somehow Zutamy modded that out of his windows install???

#

aaaaaaaaaaaa

young mantle
#

I installed it

#

lemme see what happens

wicked frigate
#

:D

young mantle
#

oh

#

it's working now

wicked frigate
#

:D

young mantle
#

now I have

#

a StableSwarmUI folder

#

that's what u did say

#

and another .bat in my desktop

sharp flame
#

Any Comfy users know the right way to use the base/refiner models to do an upscale or img2img? Wondering if there's a way to effectively manage denoise since there isn't a denoise parameter

#

Am I supposed to configure the steps a certain way so that it makes less changes to the original picture?

timid sonnet
visual glade
#

and give it an image instead of an empty latent one

#

I mean increase the start step

sharp flame
#

Will the base be doing anything prior to its start_step? For example, if there are 30 steps total and I want to start the refiner at 20, and I set the base to start at 20, will it be doing anything?

late marsh
young mantle
timid sonnet
#

@late marsh they finally took him down

young mantle
#

everyone is inspirating now XD

late marsh
young mantle
young mantle
#

Now the models are downloading

#

thanks!

upbeat summit
wicked frigate
sharp flame
wicked frigate
#

base starts above 0 only if you're using base for img2img

young mantle
visual glade
#

on windows? very badly

wicked frigate
#

iiddunno. I assume y ou're about to find ou-

#

oof

late marsh
#

Well, I'm just happy if my images inspire others 🙂 Take a couple more!

#

Just the raw output

young mantle
visual glade
sharp flame
young mantle
visual glade
#

for your card it's going to be very painful on both

young mantle
visual glade
#

but if you can handle linux that's probably going to be faster

pallid sail
#

Finally managed to get a LoRA to load. Seems as though Diffusers SDXL might not support LoRA scale yet as I get an error about the scale property not existing in the __call__ function when using StableDiffusionXLImg2ImgPipeline. It normally gets added via cross_attention_kwargs

visual glade
#

it's just going to be painful because that card isn't officially supported by ROCm and and not sure how well it works unofficially

young mantle
vale eagle
#

Just tried. Kohya script doesn't support the refiner training yet.

sharp flame
#

Posting an example of an upscale where I ran the base for 1 step and the refiner for 10 steps

#

Its definitely similar but its not quite as much control as you can get from the normal method of setting a low denoise

jolly creek
half ivy
#

dayum

young mantle
young mantle
#

Now I'm downloading the models

half ivy
young mantle
#

I'm gonna sleep meanwhile

#

thanks for everything guys

half ivy
#

knollingcase SDXL waow

molten gull
#

how do you get steps and end_at_step as parameter in the ksampler ?

#

and how/where do i get that brown step-control nodes from ?

vale eagle
#

convert input as weight

molten gull
#

i dont understand, how do i do this ?

vale eagle
#

right click at the node

molten gull
#

ok, i found, thanks

#

do you know what the guy in that example is using in the brown nodes called "steps" ?

molten gull
#

how do i make one in my comfyUI ?

sharp flame
#

Would it make sense to add a parameter that sets the amount of noise added per step by the base refiner? Wondering if that would allow for a bit more control over how much the picture changes (functionally a denoise param?).

molten gull
#

can one of you tell me how to make a primitive number in comfyUI pls?

pseudo summit
#

hey, dumb question, but is it possible to train an SDXL Lora in Comfyui? (automatic1111 doesn't work for me)

molten gull
late marsh
# molten gull can one of you tell me how to make a primitive number in comfyUI pls?

Here is a few tutorials from the inhouse dev: https://www.youtube.com/watch?v=AbB33AxrcZo&ab_channel=ScottDetweiler

Today we cover the basics on how to use ComfyUI to create AI Art using stable diffusion models. This node based editor is an ideal workflow tool to leave how AI art is generated, but also how you can really mess with the internal elements much more than you can with any other AI Art interface out there today. #comfyUI #stablediffusion

Install ...

▶ Play video
upbeat summit
molten gull
#

how to i make one in comfyUI ?

upbeat summit
molten gull
#

thx, that worked

hardy cipher
#

there are also several node packages with all sorts of numerical nodes

#

I need to figure out how to use all that boolean nonsense so I can automate things

heady vale
hardy cipher
#

nice

charred zealot
#

I'm using stablediffusion-webui with DreamshaperSDXL model - first it generated image of this quality. And after some time it generates only images of low quality (second example for the same prompt). I haven't changed any settings/prompts, already tried to reinstalled venv. All other non SDXL models work fine and produce same nice results as usual. Does anybody know what may cause this and how to fix it ?

half ivy
#

im sure ive experienced that too on comfy

hardy cipher
#

are you getting any errors?

west breach
hardy cipher
#

sometimes when my images do that I'll look and it'll be just an endless stream of errors in the terminal window

high skiff
#

@wicked frigate ok, its officialy

#

I think i found high res fix for SDXL

charred zealot
high skiff
#

the results are so far, damning

hardy cipher
upbeat summit
# high skiff

sharpness looks really good. it might get a bit too "hot" if you check the color levels

charred zealot
hardy cipher
#

yeah, I'd pass that back through and blend it with the original

#

maybe overlay or something

high skiff
#

2048x images, reliable, high resolution, consistent, mended deformities to a certain extent, all stock comfy UI nodes, running in sub 40 second times on my 3080 from initial prompt trigger

west breach
hardy cipher
#

I like to get the difference between the original image and the over-sharpened image, then use the result to do a dodge or burn on the original

high skiff
high skiff
high skiff
hardy cipher
#

fair enough. looks sharpened to me. but I'm not that smart

high skiff
#

also, you can choose how much "fix" is in your high res

#

I have tested from 10% all the way to 50%

#

with no considerable deformities

hardy cipher
#

what do you think the fix is doing other than sharpening and adding detail?

crisp owl
#

I assume you'll be putting it in your github once determined what's best?

woeful patio
high skiff
#

Base 1024x crop vs 12.5% fix vs 25% fix vs 50% fix

high skiff
hardy cipher
#

I see

upbeat summit
high skiff
#

so as you can see, you can choose how faithful to the original it is, or how much it changes it

hardy cipher
#

how does it work?

high skiff
#

All of my best finds always come from a leap of faith lol

high skiff
#

not much more to share ATM as I find better values for it

charred zealot
high skiff
#

its even very good at fixing faces

hardy cipher
high skiff
#

these are both crops, but you can see here

not perfect, but its a lot better

#

fixed her shoulderblades very nicely as well

#

even more extreme example here

#

by changing how much "fix" is in the high res

hardy cipher
#

I really go nuts with these nodes. I've spent years doing random weird things with photoshop so I can bring all sorts of things out of images beyond just the ai aspect

#

not so hot in the bottom left, lol

west breach
#

we were all stuck on the A1111 workflow before, plus any extensions we added. now we can experiment with all sorts of crazy workflows

#

I need a workflow to make me a coffee in the morning 😄

hardy cipher
#

I just need to figure out how to do more cfg stuff with comfortui

#

scheduling, rescaling, etc

#

comfort, lol. close enough

high skiff
#

did I mention my new high res fix has the potential to help text considerably as well? Only tested one time, but after seeing all of this... I have hope

hardy cipher
#

you're going to be like that dude from csi miami when he has the techs upscale license plates

#

I used to make fun of that

crisp owl
heady vale
hardy cipher
#

mr cyberpunk over here

normal bridge
#

I am using Lykon's Greg Rutkowsky LoRA, but using his way of upscale fix results in the upscaled and refined version looking much less crisp... any suggestions on how to get it as crisp as the base version?

high skiff
heady vale
naive goblet
#

The refiner often produces a blotchy effect

hardy cipher
west breach
hardy cipher
#

I can't decide what to think of the refiner

#

I certainly can't say I know how to use it correctly

west breach
heady vale
hardy cipher
#

I guess that's more steampunkish

heady vale
#

the future of shooting your weapon.. lol

west breach
sharp flame
#

I'm not sure if there's a good way to use the refiner as an upscaling method, using it with the base XL model changes too much and using it standalone doesn't seem to work (just makes the image blurry)

#

maybe I'm not understanding something

#

Obviously I can just use the base model with a regular sampler and just lower the denoise, so I'll probably just do that for now and only use the refiner during the low-res image gen

high skiff
#

I am messing more with my upscale workflow... and Midjourney should be genuinely scared

#

for realism specifically

#

2048x2048

urban breach
#

i can feel the fur from here

high skiff
#

if all goes well, expect this 1.0 workflow out tomorrow

#

on my github, and the official comfy wiki

west breach
heady vale
#

yep 768 is the sweet spot

sharp flame
#

What exactly does sd ultimate upscaler do? Its a tile based upscaler?

high skiff
#

yes

#

cuts the image into tiles at a more standard size, does them individually, then stitches them together

#

its what I first used for mmy SDXL upscale workflow, but my new method is faster and yeilds much better results

sharp flame
#

Would the sd ultimate upscaler be doing base+refiner for each tile?

hardy cipher
#

sytan, do you have any suggestions on how to implement the refiner model properly in comfyui? I can get it to work, but I have no idea if I' doing it "right"

normal bridge
heady vale
naive goblet
high skiff
#

a more refined version should be out late tomorrow, if all goes well

hardy cipher
high skiff
#

@boreal bough Wanna play with my beta upscale workflow, see how it works? :p

half ivy
#

yes

normal bridge
#

looks very comic like

high skiff
hardy cipher
#

I've been using the searge nodes to do the sampling, but not sure if it's necessary

#

I feel like I've barely scratched the surface of what I'll be able to do with comfy. and I'm probably doing things very inefficiently at this point. but the nodes satisfy me so I must keep going

woeful patio
#

anyone know how to fix this within kohya?

#

No data found. Please verify arguments (train_data_dir must be the parent of folders with images) /

ornate elk
#

❤️ sdxl

boreal bough
heady vale
#

wake up Samurai, weve got lego to build

ornate elk
#

also that's the first time I've ever seen a recognizable signature...that's definitely the cyberpunk logo

heady vale
ornate elk
#

yeah I am seeing more variation in that effect

hardy cipher
#

I got a signature on one of mine earlier

normal bridge
hardy cipher
#

hmm, let me check. probably some randomness,

normal bridge
#

my explosions are floating away :(

woeful patio
#

can you train loras with 8gb vram?

hardy cipher
# normal bridge whats your prompt on that I am curious

that's one I made on dreamstudio. I like to mess with that on my phone when I can't get hardcore on my computer.
Positive
"Bach's infinite analog synth symphony in a subatomic singularity
Negative
Mundane, earthly, blurry, smudged, cgi, low resolution

normal bridge
#

wow interesting xD

hardy cipher
#

I thin I used one of the filters too. but I have to see which

normal bridge
#

ah don't bother too much, don't want to give you work ^^

hardy cipher
#

either way. it was either the line art or analog photograph style. those two might be my favorites

#

analog photograph can make some really uncanny stuff

#

rainbow goblins in analog

heady vale
#

tele-goblins

peak dove
#

I'm using Scott Detweiler's Base-then-Refiner setup at ComfyUI - here is the Base photo, and then the Base+Refiner Photo - much much more detail and definition in the Refiner!!!

#

I'm just going to add a second Refiner stage - so the whole ComfyUI process will be Refiner-Base-Refiner - don't know if it'l be any better ... but here's hoping 🙂

high skiff
#

first successsful 4096x upscale

#

extremely reckless on a 3080 lol

#

but on a 3090, very pratical

#

base 1024x image crop

#

vs the 4096x crop

#

so much detail

half ivy
#

stahp

high skiff
#

zooms into the atoms

#

16.666 million pixels

#

my kinda demonic number

#

curious how practical the middle stop is

normal bridge
#

somebody said atoms?

high skiff
#

trying 3072x3072

#

ok, still too high res for 10GB VRAM

#

maybe 2662

#

WOOO

#

looks like barely lmao

#

9.8GB VRAM

#

that is 7x the pixel count of base 1024x1024

late marsh
hardy cipher
dense chasm
high skiff
#

my mind is indeed blown, not sure if in a good way tho lol

dense chasm
#

LoRA training for sdxl is always CUDA out of memory even run with deepspeed VRAM saving.

hardy cipher
#

need to get an a100

dense chasm
hardy cipher
#

I tried to get gpt4 to tell me how to build a laptop with dual a100s

normal bridge
#

hope you got a strong lap then xD

ember cargo
hardy cipher
#

it started going on about how laptop cases were too small. I told it that I wasn't looking for reasons it couldn't be done, just to tell me what to do. I think I'd need to carry around an external lithium battery to keep it running

ember cargo
woeful patio
#

Does a higher batch size in lora training use less or more vram?

hardy cipher
#

surely more, right?

ember cargo
#

more

woeful patio
#

cool, thanks

ember cargo
normal bridge
#

my dude got some serious medical condition

woeful patio
#

is it even possible to train lora with 8gb of vram?

hardy cipher
#

that's just the moon's gravity distorting your view

heady vale
vital wolf
#

What's strength model and clip for loras in comfy? Do I set value for both? I know how loras work in a1111, can someone 3xplain?

ember cargo
#

maybe with some heavy gradient checkpointing

woeful patio
ember cargo
#

try with 4 accumulation steps

#

go higher and se what works or not

hardy cipher
#

so concensus is we shouldn't be running loras on the refiner model?

ember cargo
woeful patio
ember cargo
#

in your case always batch 1

hardy cipher
#

I just ran the same thing through without refiner loras. it's slightly different, but can't tell if better or worse, lol

peak dove
#

Detweiler's triple Refiner-Base-Refiner - works, but as I do a lot of art - I'm not convinced that the extra Refiner-B4-base does any good? 🙂

hardy cipher
#

where is this detweiler triple refiner?

peak dove
lilac wren
copper inlet
lilac wren
hardy cipher
#

if you dropped the cfg by one or two I think it'd pull out more detail there

peak dove
#

Yes, --medvram is no use on my rig - always warned High Memory Usage - VRAM AVailable 8Gb - VRAM Used 8GB 🙂

hardy cipher
#

or maybe not, but maybe

dense chasm
woeful patio
lilac wren
peak dove
#

I have abandoned A1111 for SDXL - now using ComfyUI 🙂

vital wolf
#

What's strength model and clip for loras in comfy? Do I set value for both? I know how loras work in a1111, can someone 3xplain?

ember cargo
peak dove
#

I have just implemented Scott Detweiler's triple-process of Refiner-Base-Refiner - and its producing some stunning results

pallid sail
hardy cipher
#

we know, bud

pallid sail
hardy cipher
#

I guess I should google that name

crystal forge
#

anyone have problems with ComfyUI running out of system memory? my 32GB has a tendency to run out and --gpu-only runs out of VRAM (RTX 3060 12GB)

peak dove
#

If I post a photo, and if it holds its metadata - you can drop it onto the ComfyUI Desktop?

lilac wren
hardy cipher
#

nice

crystal forge
peak dove
#

This was done using Refiner-Base-Refiner - I hope the graph comes up when you drop it onto your CUI Desktop?

#

Here are some more Triple-Process R-B-R

#

As a general Rule - the base photos look as if they need a good sharpening; while the refiner photos are crisp and clear

pallid sail
#

Are these use different denoising percentages for each step? Like 0%-20% then 20%-80% and 80%-100% or something similar?

crystal forge
amber pecan
#

why is it that the service can do portrait similarity and the SD has to be trained on the face?

peak dove
#

OK, will save the 'json

#

Hope it works?

ember cargo
#

my compact LoRa workflow with Ultimate SD Upscale (you may need the aspect ratio custom node)

crystal forge
peak dove
#

Oh! Silly me, I should have used 1.0 as well --- I will try again 🙂

hardy cipher
#

hmm, I guess I'll try it out

normal bridge
hardy cipher
#

could anyone tell me what "clip text encode SDXL Refiner does?

crystal forge
hardy cipher
#

some of this stuff still goes over my head

peak dove
heady vale
normal bridge
lethal tusk
#

What sampling method should I use for SDXL 1.0

hardy cipher
#

I think I read ddim might not work well. maybe just try a few out and compare

#

is it possible to modify existing nodes so I can do things like have seed numbers sync up in all the samplers? is there some obvious method I'm missing?

peak dove
hardy cipher
#

and what about iterative functions? is it possible to run it through the same sampler x amount of times? or is it easier to just copy the sampler and repeat it?

lethal tusk
lilac wren
peak dove
#

If you have Image Browser in A1111 you can find the SEED there

hardy cipher
#

gotta git pull a1111. it doesn't do that for you

lethal tusk
vital wolf
#

Dpm 2m sde

lilac wren
lilac wren
peak dove
#

A1111 - go to Extensions/ find the URL and direct d/load Image Browser

lilac wren
#

TErminal?

lethal tusk
lilac wren
#

Ah, right

vital wolf
lilac wren
#

personnally i didn"t changed my habbits

peak dove
#

I got to admit I like 0.9 much better for artistic output - 1.0 is so faded and pastel-like 🙂

hardy cipher
#

if I'd known I could run it on my subpar 6gb video card I would have tried to get 0.9. but read it required 16gb

vital wolf
hardy cipher
#

all good though. I'm figuring it out now. tbh I can make things at almost the same level with 1.5. but it takes a lot more, and there are a lot more misses

woeful patio
#

trying to create a more rugged look, not exactly what I'm looking for yet

hardy cipher
#

liminal spaces

vital wolf
#

What's strength model and clip for loras in comfy? Do I set value for both? I know how loras work in a1111, can someone explain? Man someone tell me

upbeat summit
woeful patio