#๐Ÿ†•๏ฝœsd3

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dusky thistle
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and make sure that actually changes it

bitter hearth
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that was before we realised SD 3 2B was not gonna last

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june or july or something

dusky thistle
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idk what your prompt is, but try changing it to "an impasto oil painting of a nuclear explosion in a rose garden in september, vibrant radioactive shockwaves in a dark night"

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sd35 undrestands stuff well enough that if your prompt is too similar it's not gonna change much even at high noise levels

short thicket
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Do having custom schedulers and samplers like this actually improve the output of the model, or do they mainly offer extra variations of outputs to choose from? Is there a specific setup that generally gives higher quality outputs?

dusky thistle
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big improvement in quality

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and yeah more variety

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my entire goal with this stuff has been to improve quality as much as possible

short thicket
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Any specific settings other than the ones you've shown so far? Part of me want to play and expiriment, but another part of me wants to know which direction to head in.

dusky thistle
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ohhhhhhhhhh

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sdxl has much higher sigma values

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the equiv of 1.0 with SD3.5 is something like 14.26 with SDXL

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so try setting it to something like 3 or 4 for starters

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when i only wanted to make tiny changes with sdxl i usually set it at 2 or 3

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yup

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sdxl has a high sigma scale

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14.614642 = the equiv of 1.0 with SD3.5 or Flux

dusky thistle
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a few... i'm not sure what the max is for pixart sigma, but it's sometihng crazy like 150 for hunyuan DiT and something like 99.95 for stable cascade

bitter hearth
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is like 317 for NovelAI Diffusion V3

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no wait I misread

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20000

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https://arxiv.org/abs/2409.15997

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that's pretty funny

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closed source though

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someone on reddit pointed out that the red panda is a chinese animal

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maybe this is next pixart

short thicket
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@dusky thistle if you have SamplerRK hooked up the the Shark Sampler node do Noise Type, Alpha, and K do anything in the Shark Sampler node or do the settings in the SamplerRK node take precedence?

dusky thistle
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the ones in shark determine the noise in your starting image

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the very first blast of noise, so to speak

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your starting point

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the ones in SmaplerRK determine the kind of noise that is added after each step

sacred jewel
craggy crest
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prompt: professional studio photography in a commercial studio. commercial lighting, dynamic shadows, hard rim lighting. a dashing, debonair, male actor, a twinkle in his eye and a sly grin

winged seal
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kinda sorta seeing some mild improvements, but I don't think I am gonna be gettig good results out of SD3.5 any time soon with AIT. I might try out another trainer, but I am not sure if I wanna take on that whole project at this moment. Maybe

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these results are nowhere near good enough to make SD3.5 viable for me, so I will be just waiting until I can try out LucaTaco's trainer

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so far this has been a monumental waste of compute, but hey, I gotta learn some way haha

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Its gonna take a massive amount of compute to make SD3.5 really solid, but I think it will be done at some point. I also hope we get a pony version of it so it will be better for niche subjects

winged seal
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I think I am gonna take a break from training for a bit

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dumped 20k training steps into SD3.5 and it looks a littele less bad lmao

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I will find a better approach some other time

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I will say, SD3.5 is a lot faster on small GPU's cause the small 4 bit quants don't have to page out

dull star
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oh nice

craggy crest
winged seal
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I'm just holding on to the hope that its the trainer I am using, and that its not gonna be an uphill battle ๐Ÿ˜…

craggy crest
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prompt: classic western movie scene inside a saloon. close up on the bartender as he glares at a cowboy. high definition photography. backlit, diffused shadows, dark and moody

dusky thistle
craggy crest
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someone stepped on his biscuits, stole his gravy, an now he's mad

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prompt: hdr photo: red to gold to blue to green gradient, oil on canvas, hyperdetailed, intricately detailed, sapphire, volumetric lighting, mist

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that man looks seriously about to start trouble

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14 karat rose: hdr photo: red to gold to blue to green gradient, oil on canvas, hyperdetailed, intricately detailed, sapphire, volumetric lighting, mist

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sd3.5 large

winged seal
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@craggy crestscrew it

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i LIED

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I am gonna try to set up Luca's trainer lol

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I am kinda doing nothing anyways lol

craggy crest
winged seal
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I just had some food lol

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@craggy crestDo you have a link to the LucaTaco trainer? I am finding a bunch of like articles about it, but where's the actual code?

winged seal
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ohhh, so that WAS the right one, ok

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I didn't click on it cause it was replicate. I was on there before ๐Ÿ˜…

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I found the github link on it, thanks

craggy crest
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welcome

winged seal
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I thought that was just an online version

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@craggy crestWait a minute, am I crazy? Is this a cloud payment version? Can you not run it locally on hardware? I am not seeing anything on running it local

craggy crest
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it's not very much, however

winged seal
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Oh yeah, ok, nevermind. I don't do that

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thank you for the recommendation, but absolutely not lmao

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I will wait for better local options

craggy crest
winged seal
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I was looking through some just a little while ago. I have not seen a single one that mentions their LR so far, which is... interesting

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haven't seen too many tho

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but yeah, I don't do off PC compute or anything like that. I am not gonna be reliant on other peoples services. If I can't run it locally by myself, its not happening. Might as well be worthless in my eyes, personally

Great for people who like that sort of thing, but I have never and will never support that

patent cape
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guys can u help in the main chat lol

winged seal
patent cape
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idk man. i am as confused as it gets

craggy crest
sacred jewel
winged seal
# sacred jewel

aside from the faces/skin, these look really solid. Nice stuff!

sacred jewel
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Just a pixel space upscale and second sampling pass. I can't get Flux to give me great skin at upscaled stage ever... been struggling with it ... one day ๐Ÿ˜„

sacred jewel
winged seal
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Wait, are those flux?

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if so, that explains why I was impressed with their coherence lmao

sacred jewel
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sorry... I know everyone here went back to the true nature of the channel... but I am still struggling with SD3.5L ๐Ÿคญ

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Someone has identified Flux output of any human face as having a Butt Chin so they're easy to spot ๐Ÿ˜›

craggy crest
dusky thistle
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hey that's great to hear ๐Ÿ˜„

sacred jewel
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My workflow takes the default sampler output which for me typically is 16:9 1344x768, Euler/beta, 20 steps, 3.5 guidance ... That's around 2 iterations per second.

The image out is put through either a 4x model upscale or a 2x model upscale and then either down sampled to half if 4x or passed through the vae encoder straight if 2x

Depending on the model I select, the model upscale can be slow (SIAX) or fast (ESRGAN)

Then that's fed to ksampler 2 at 20 steps and .20 denoise... Same settings as first pass.
The second pass I get about 2.5 seconds per iteration.

Total time is typically around 100 to 120 seconds.

If using LoRAs, I have seen the generations on second pass go to 3 sec per iteration.

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RTX4090 BTW

sacred jewel
craggy crest
dusky thistle
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input, two outputs

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just yodeling over here

winged seal
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Currently training flux 8b lol

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I am shocked this is working

craggy crest
craggy crest
dusky thistle
craggy crest
dusky thistle
dusky thistle
craggy crest
dusky thistle
dusky thistle
winged seal
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@craggy crestAlright, full interest is lost in SD3.5 for me, after trying flux lite. I will come bac in a few weeks when SD3.5 has better experience, but now I am training Flux lite. It looks just as good if not better than flux dev, it runs faster than SD3.5, and it learns EXCEPTIONALLY well

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it works fantastic

winged seal
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some massive changes are gonna have to be made for SD3.5 for me to go from flux lite, since its even faster than SD3.5

bitter hearth
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I was talking about Flux lite on the Open Model Initiative discord
I'm gonna try and take their methodology further and shrink it some more, since its cheap to do this block skipping method
They also made it with BF16 in mind and I want to do it with FP8 in mind, to exploit the FP8 matmul speed boost

dusky thistle
bitter hearth
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They dropped blocks such that the quality only dropped very slightly, I would rather drop a few more blocks to lose slightly more quality and gain a bit more speed in exchange

dusky thistle
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output

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SD35L is fucking awesome

bitter hearth
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wow yeah that's nice

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the same unsampling workflows work on SD35?

dusky thistle
bitter hearth
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ah nice

dusky thistle
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most recently updated an hour or so ago

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really good results now

bitter hearth
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ah yeah the old face-feather method

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easy fashion

dusky thistle
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hah

bitter hearth
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I like how it keeps the colours could probably give it some low frequency rainbow noise as the initial and get colour transfer a bit

winged seal
bitter hearth
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not sure if it is better for training but seems possible

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that dropping blocks would help

dusky thistle
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flux dev forgets as fast as it learns

winged seal
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I've yet to see that, personally

dusky thistle
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we need a base that doesn't have taht problem

bitter hearth
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I found a lot of Civit Flux loras were very over-fit

dusky thistle
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well, you're the only one that hasn't seen it afaik

winged seal
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man, these results are making me very happy lmao

bitter hearth
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the brown leaves in the foreground look very real yeah

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Civit Flux loras also do the old classic of bringing the background with them

winged seal
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My dataset is specifically for very dense and detailed backgrounds and professionaly shot photographs.. Its only 30 images.. I have one with 150, 339, 1.7k and 3.1k

bitter hearth
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I have the same taste as you, I want much more dense and detailed photographic images ๐Ÿ‘
so I hope your project goes well

dusky thistle
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you're probably just giving it that big vector space shove with that stuff

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i've seen it too with that

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at a fairly high LR you can get it to cough up great photos in just 500 steps or so, far less than it needs to actually learn anything

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the real trick is getting ALL of that "flux style" out without the catastrophic forgetting kicking in

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which is really, really tough

bitter hearth
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latentmegamodifier was decent at getting rid of the background blur with pyramid noise injection
it stacks on top of whatever ancestral noise you have

dusky thistle
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interesting

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i've noticed high frequency noise can help

bitter hearth
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it also has a filter for the noise injection it does
can't remember if its low pass or high pass

dusky thistle
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what node pack is that? frequency filters are something i'm real interested in implementing

bitter hearth
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but crucially it has div norm
what you can do is add "too much noise"
and then div norm can save your image

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https://github.com/Clybius/ComfyUI-Latent-Modifiers

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the Spectral Modulation widget is awesome as well

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the Gated tonemaping option is good also

dusky thistle
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oh, yeah, that's right, clybius

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he does cool shit

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his implementation of RES is what got me started on all of this

bitter hearth
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haha yeah

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I need to go back to sampler supreme

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it had a bunch of options that did good stuff

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besides which, I wanted to explore his Spectral Modulation stuff in more detail and change the code around

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cos he doesn't have any variations for that technique and I think it has potential

dusky thistle
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i haven't looked into it at all, tbh

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still need to get a multistep node implemented here soon so i can delete like 5000 lines of sampler code lol

craggy crest
bitter hearth
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oh and his node has a good version of CADS as well

dusky thistle
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soooo cloooose to being able to clean up bigtime

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sweet

bitter hearth
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would be nice if res4lyf code got rly streamlined yeah

winged seal
bitter hearth
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I'm still trying SD 1.5 stuff I think I can do better than yesterday

dusky thistle
dusky thistle
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SamplerRK is a huge step in that direction

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i was able to add 20 different samplers to that thing just by punching in coefficients tables, with a little bit of dynamic calculation for them in the case of dpmpp and RES, and for those i was able to redo the math to have a single nice clean phi function to call

bitter hearth
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I think the community would really benefit from a general streamlined release with nice docs
cos you legit have the best sampling library in the world right now lol

dusky thistle
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so it's incredibly concise

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aww thx

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yeah that is def the goal now

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tinkering with samplers is so fucking addictive

bitter hearth
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I wanna go and learn sampling math properly at some point too
but my priority is training my first diffusion model at the moment

dusky thistle
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as in some custom architecture?

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i did a lot of screwing around with that with jupyter notebooks a few months ago, that was fun

bitter hearth
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its gonna be replications at first
gonna do one model for each of DDPM paper, DDIM paper, EDM paper, Peebles and Xie paper

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there's not much point in planning beyond that because after doing that my understanding will be completely different lol

dusky thistle
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sounds like a fun project

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yeah no doubt

bitter hearth
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there's a couple of nice bonuses of doing it yourself
you have all the images and captions that you trained with
so you can fine tune an LLM to prompt it, using the original caption data
and you can train an upscaler like ERSGAN, DAT, ATD etc, using the original image data

dusky thistle
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and the depth of the understanding you get from working with simple stuff from the ground up... ab initio, as we call it in chemistry... is extremely valuable imo

bitter hearth
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yeah you have to go back to first principles to learn it properly

dusky thistle
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pretty mutated but i'm excited about how well it's adhering to the structure of the source image

bitter hearth
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insanely good contrast

dusky thistle
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def

bitter hearth
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I do miss that sort of thing in SD 1.5

dusky thistle
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not burning or blurring

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don't even have cfgpp in here yet, though i'll be able to do it now

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took forever but i found a way to separate out the x term completely from the denoised/epsilon prediction and the guide

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which i needed to do cfgpp

bitter hearth
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cfgpp might help loads with unsampling accuracy

dusky thistle
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now that's a real frog

bitter hearth
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is this AI or garden photo

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I rly need to try SD35 more, the way it is blending fantastical with real photo background is really good

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since I mostly do scifi that might be ideal

dusky thistle
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hahah

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whoa just found a major fuck up with my third order for noise inv

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whooooops

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i actually love finding bugs like that

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it's like finding candy on the sidewalk: "yay, it'll be even better now!"

bitter hearth
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lol yeah

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if the unsampling code is working well, might not be that far off getting restart sampling

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seems that restart sampler adds the noise in a special way I was wrong to just spam k-samplers

dusky thistle
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it's def possible to implement

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prolly would work really well if you used this math i've worked out here

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yuuuuuuuuup

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before, after:

bitter hearth
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I should have saved them, the day I tried 300 restarts the images came out so nice

dusky thistle
bitter hearth
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wow yeah huge improvement in the froggy

dusky thistle
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no kidding

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god i love the look of sd35

craggy crest
craggy crest
# dusky thistle god i love the look of sd35

me too - and it's almost effortless to steer in the direction you want it to go, unlike flux which is an uphill battle to get it to do anything other than the very narrow range it's massivly over fit for

dusky thistle
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for real

bitter hearth
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hopefully SD35 comes to latent interposer soon https://github.com/city96/SD-Latent-Interposer
can send my SD 15 and SDXL latents there

craggy crest
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and that frog flower is hysterically funny

dusky thistle
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sai folks are real quiet on here now, probably some change in corporate policy on community interactions etc, but i'd imagine they're still reading... so yeah, hats off to you all and thank you

craggy crest
craggy crest
winged seal
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I am gonna keep training Flux Lite to get fantastic photographic results, then use an LLM to guide it to make a big dataset to train SD3.5 on when its more viable for me. I think thats gonna be a fun project

dusky thistle
craggy crest
dusky thistle
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SD35 is a gem

winged seal
craggy crest
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you can't call him a cool cat - is he a hot dog?

winged seal
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I suppose so?

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I'd accept it haha

bitter hearth
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I wanna do huandit but the control nets are pickles ๐Ÿ™ƒ

craggy crest
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needs some water, he looks ready for the beach

winged seal
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peekles

bitter hearth
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apparently Hunyuan-DiT inpainting control net is the best inpainting method out there

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not sure if that claim is correct though

craggy crest
dusky thistle
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yeah, unfucking my code def made a difference, lol

craggy crest
bitter hearth
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do you think your method would work for outpainting?
like make the square input image into a 21:9 image with outpainted details?

dusky thistle
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maybe? it's more something that tracks with a source

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so not having anything might not be ideal

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but if you could get an early outpaint-ish something there, even if it was some crudely photobashed crap... it might work really well

craggy crest
bitter hearth
craggy crest
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@dusky thistle

bitter hearth
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there's also this node pack https://github.com/Acly/comfyui-inpaint-nodes it does crude inpaint with small models

dusky thistle
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yeah something like that could def help

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so long as you had at least the lighting... you'd have a good starting point

bitter hearth
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kolors inpainting model is rly nice also

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especially since kolors has the strongest IP adapter currently

craggy crest
dusky thistle
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what time zone are you two on btw lol just curious

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EST here

bitter hearth
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GMT

craggy crest
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i'm in Arizona - we don't do daylight savings. it's 12:16am for me right now

dusky thistle
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so i'm the worst one in the room lol

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3:16am

craggy crest
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programmers come alive at night

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we're all vampires or something

gusty trail
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definitely vampires

bitter hearth
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I'm quite close to the building in Greenwich which GMT is named after
its the zero point for time zones

craggy crest
bitter hearth
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haha yeah the line isn't in the building

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the problem is that crazy hill completely kills you on the way up

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cardio challenge

dusky thistle
craggy crest
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they don't have tourbuses or shuttles?

dusky thistle
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GMT has been this alien thing... almost thought you were joking when you said GMT, like you live in outer space so you might as well use GMT

bitter hearth
craggy crest
dusky thistle
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lol

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cfg 5.0 vs cfgpp 1.5, first test

craggy crest
lavish sparrow
bitter hearth
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there's a college at the bottom of the hill, my friend went there
its cool cos the buildings look like this

dusky thistle
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don't think i botched the code for this as it's pretty similar... should be fairly similar at those strengths

craggy crest
dusky thistle
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wow, that's gorgeous

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i'm not using standard SD3 shift

craggy crest
dusky thistle
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this lil sucker allows you to pick between flux's and SD3's

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exponential is the flux one

craggy crest
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it's rather necessary

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yeah. and doesn't work well with sd3

dusky thistle
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ehhhh i actually think in a lot of cases it's much better

craggy crest
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a LOT of what they did for flux, to make it work, is jsut patching

dusky thistle
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with the unsampling, it's vastly better

lavish sparrow
dusky thistle
bitter hearth
craggy crest
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did you get a chance to play with APG at all?

dusky thistle
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not yet

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gotta get the sampler shit done ๐Ÿคฃ

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long march through a swamp

craggy crest
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what? you can't code with both your toes on one keyboard, your fingers on another, and split your brain in half?

dusky thistle
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lol

lavish sparrow
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usually i think ipndm_v is pretty bad, but with sd3.5 and high steps beta 0.6/0.9 -> it's pretty damn sweet actually

craggy crest
dusky thistle
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i've gotten SDE sampling working really well with rectified flow

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took a lot of fiddling with the math

craggy crest
dusky thistle
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cfg 5 vs cfgpp 1.5

craggy crest
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i don't like the look of the one on the right. it's blurry and the details are lost

dusky thistle
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yea it's hard to say how balanced the strengths are there at those numbers too

craggy crest
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do something very mundane, boring, and that looks like a phone photo

bitter hearth
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rather than using shift I prefer to babysit the high sigmas over the course of a few ksamplers with settings tweaked to minimise error
and then once the structure is done you can blast the lower sigmas with much less conservative settings

craggy crest
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there's a guy in tech support that might need help @dusky thistle

dusky thistle
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cfgpp 1.7

craggy crest
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still missing all the details in the face except the teeth

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and it's starting to look like Stitch without lilo

bitter hearth
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very cinematic vibes

dusky thistle
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tbh kinda like the look with the face lol

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freaky

bitter hearth
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I noticed cinematic checkpoint tend to be blurrier

lavish sparrow
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@dusky thistle dammit, why did it have to make pennywise

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aight, new try ๐Ÿ˜„

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they just take a while to make

dusky thistle
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cfgpp 2

lavish sparrow
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however, with sd3.5 good neg prompt abilities, lets see what happens

craggy crest
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someone please go talk to the guy in tech support who is looking for an 'sdxl model for extreme violence'

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cause i'm done with him

bitter hearth
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not sure it would be ethical to give them tech support

craggy crest
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can we feed him to one of clownshark's creatures then?

bitter hearth
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my viewpoint is that the average person should use Dalle 3 in Chatgpt
if they are not a technical person

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or other tools like that, where an LLM "helps"

craggy crest
dusky thistle
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cfgpp 2.5

bitter hearth
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texture is coming through

lavish sparrow
craggy crest
dusky thistle
# lavish sparrow

idk if you grabbed those nodes but if you do this is something i'd recommend to start with

lavish sparrow
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@dusky thistle dis u?

craggy crest
dusky thistle
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cfg 5 vs cfgpp 2.5

bitter hearth
craggy crest
bitter hearth
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this is the biggest dormand-prince for example

craggy crest
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oky but why is euler showing up funny?

dusky thistle
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it's like watcing an ant follow a parade of tanks on victory day

craggy crest
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oh. okay. if i wasn't this tired if would probalby seem funnier

bitter hearth
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its probably not actually funny I've just been laughing at eulers method for about 30 years at this point

dusky thistle
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try not going to bed for a day or two, then everything will be hilarious

craggy crest
dusky thistle
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cfg 5 vs cfgpp 2.5

craggy crest
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CROKERS!

dusky thistle
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now that one is def better on the right

craggy crest
bitter hearth
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yea I really have to remember to always use cfgpp stuff

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the gains are big

craggy crest
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the ddim_uniform scheduler seems to warm the images up

lavish sparrow
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@dusky thistle this is missing from your requirements.txt ๐Ÿ™‚ just a headsup โค๏ธ

dusky thistle
craggy crest
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course i'm using the recommended settings

dusky thistle
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opensimplex... i forget what it was, but putting it in requirements.txt caused something to break

craggy crest
bitter hearth
lavish sparrow
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ah, it won't play nice in requirements.txt?

craggy crest
bitter hearth
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ok maybe it was just a flux thing

dusky thistle
bitter hearth
#

if you use Display Any from Matteo's pack and connect the scheduler to it
you can check if the first number is 1 or not

craggy crest
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after what robin did to flux? i'ts a wonder you can change any of the settings and have it work

dusky thistle
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tbh i'm tempted to just take it out and provide instructions on how to put it back in

craggy crest
dusky thistle
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i did, and there wasn't any solution

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other than doing it manually

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just don't care enough to put much more into it, it's only one noise mode out of many, got much more important things to fiddle with

winged seal
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@craggy crestTraining flux lite is improving its prompt adherence a lot. I asked for harsh lighting from the right side. I am really serious about automating some image gen using flux lite to generate positional training data for SD3.5

bitter hearth
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if it only affects the simplex noise, that wasn't a great noise anyway

craggy crest
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someone else'll figure i8t out and come looking for tech support ;)

bitter hearth
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simplex noise gives Flux grid in SDXL lol

craggy crest
dusky thistle
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yeah that's crazy, the grid

bitter hearth
craggy crest
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@bitter hearth

bitter hearth
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hmm

craggy crest
#

prompted for it: a grid of small dots and crosses in the center of a symmetrical heart

dusky thistle
bitter hearth
#

it was a mistake to show clownshark a building that I like LOL ๐Ÿ™ƒ

craggy crest
#

especially when he's already lighting stuff on fire

#

night guys. please don't munch on each other

lavish sparrow
#

@dusky thistle yup, liking your sampler ^^

noble coyote
dusky thistle
lavish sparrow
#

or that one not yours?

dusky thistle
#

that's mine

dusky thistle
#

the img2img stuff

lavish sparrow
#

@dusky thistle

dusky thistle
#

res is a lot like dpmpp, except some of the math is fixed

#

it should edge it out a bit overall, i think

lavish sparrow
#

song lyrics + LLM t5 + sampler RK. -> that's some scary coherency

sage burrow
winged seal
#

its a pruned version of FLux Dev from 12B down to 8B, and it runs faster than SD3.5, and trains better than base flux dev for me. Its fantastic!

#

they removed a bunch of blocks that do very little, and it so dope. Flux Dev LoRA's work on it perfectly, and you can train it

noble coyote
#

RFI is totally rad ๐Ÿ˜„

winged seal
#

so its 8B, it uses less memory, and it needs less steps than SD3.5, so I can get a much higher quality Flux image in less time. Its awesome

#

I wanna train it to generate super high quality random and diverse photographs to train SD3.5 on later

dusky thistle
#

i totally redid the math

#

cfgpp is supported now, it's using RES sampling which is top notch for diffusion models

dusky thistle
# dusky thistle

WF should be in this nice building that neoninjastro likes that i casually set on fire

lavish sparrow
#

when a demon says: "you're the apple in my eye" ...

dusky thistle
lavish sparrow
dusky thistle
#

sd35 is a joy

winged seal
#

it ROCKS

dusky thistle
#

so much better than being stuck with a distilled model like flux imo

radiant ledge
lavish sparrow
turbid grotto
dusky thistle
#

i think it blows away flux tbh

winged seal
lavish sparrow
#

it's more fun/creative, and i feel it can do more complex prompts

dusky thistle
#

flux is pretty boring

winged seal
turbid grotto
dusky thistle
#

you can't just cut out parts of a model

#

you gotta distill it again, so it's redistilled i'd imagine

winged seal
#

oh no its faster cause you can get well refined images in about 25 steps, vs 40 for 3.5

Any less than 40 for me looks super melty and messy

lavish sparrow
#

never got flux to do this...

#

might have to re-run my old prompts, again. see how much they improved

dusky thistle
dusky thistle
#

yeah and we're just using a base here

#

anyone that thinks this isn't great should go compare zavy v7 to sdxl 1.0

winged seal
#

they cut out blocks of the model after finding out some do very little

dusky thistle
#

oh, i see what you meant

#

i though tyou were referring to knowledge being ablated/removed

winged seal
#

8B actually does text better than dev by a lot across the board from what others and myself have seen

#

oh no, they removed sections of the models process

lavish sparrow
#

also, not overloading the clip-l and clip-g seems to work wonders in terms of image cohesion

winged seal
#

and applying my dev LoRA's on it, they express and look even better on lite, and lite trains faster and more robust it seems

lavish sparrow
turbid grotto
winged seal
#

yeah, for sure

#

just like how SD3.5 is nowhere even remotely close to full potential of 8B

#

image gen models are exceptionally low density

#

more params do help with some things, but these models could be trained so so so much more

lavish sparrow
#

same as in LLM world -> you could hardly have a coherent conversation early 7b models, now they are plenty capable

winged seal
#

like, with LLM's, the density of smaller LLM's is insane.. They are reaching the limits of transformers, hitting the loss threshold of what can be encoded in human language

turbid grotto
#

we need Meta to do img model waow

winged seal
#

it blows mistral 7b out of the park in terms of knowledge haha

dusky thistle
#

img2img, WF in second (output)

winged seal
#

and gemma 2 27b continues to be the single smartest fine information model I have tested. When asking questions about celebs, shows, or things from fandoms, gemma 2 27b leaves even the best closed models (4O, Gemini ultra, claude 3.5 sonnet) in the dust

#

but, its all about fine information retrieval, its not nearly as broadly functional

#

but like, my best friend is an accomplished producer. When I asked Claude 3.5 sonnet and 4O for info for an essay, they averaged 12-16 points with about 30% accuracy between 10 responses each

Gemma 2 27b averaged 14-22, with about an 85% accuracy

remote holly
#

is sd3.5 q5 gguf good ?

winged seal
#

yeah, should be fine

#

I use the 4, and it looks great

lavish sparrow
#

i'm using the hybrid fp16 which just fits in 24gb, 3090 XD

remote holly
#

i use fp8 sd3.5 but is slow , if i use a quant model it should run faster ?

lavish sparrow
#

quants are slower, actually

remote holly
#

or quant is just for low vram ?

lavish sparrow
#

quant is for lower vram, correct

remote holly
#

ha

winged seal
#

Yeah, ggufs get slower the lower accuracy they are

remote holly
#

i should stay in fp8

bitter hearth
winged seal
#

I hope we can get exl2 support for image gen models, cause that would be insane. Its a little more size efficient, its faster for inference, and it also gets faster the lower the precision

#

like llama 3 8b is about 70t/s for me at FP16 but at 4 bit exl2 its closer to 140t/s

lavish sparrow
turbid grotto
#

it is crazy long rn

#

btw, sd35m will be about 5gb fp16, so it is ~2.5gb q8 and ~1.25gb q4 ๐Ÿ˜‚

sage burrow
dusky thistle
winged seal
noble coyote
dusky thistle
winged seal
dusky thistle
#

you'll need my res4lyf repo to use em

winged seal
#

flux dev LoRA's also wor great on lite. I am training on lite and it trains faster, and seems to be gathering info faster as well too

lavish sparrow
#

just milk.

sage burrow
sage burrow
dusky thistle
#

i have a few image manipulation ones like stuff for frequency separation

winged seal
#

I saw tons that worked for NSFW dudes, but thats all I look for. 90% of LoRA's are poorly made straight NSFW get off slop LoRA's lol

dusky thistle
noble coyote
#

CSBW Nodes Missing - Manager Cannot Locate

#

๐Ÿ™ƒ

dusky thistle
#

this was the source image

dusky thistle
sage burrow
noble coyote
#

OK, update RES4LYF

dusky thistle
#

If you are using a venv, you will need to first run from within your ComfyUI folder (that contains your "venv" folder):

Linux:

source venv/bin/activate

Windows:

venv\Scripts\activate

Then, "cd" into your "custom_nodes" folder and run the following commands:

git clone https://github.com/ClownsharkBatwing/RES4LYF/

cd RES4LYF

If you are using a venv, run these commands:

pip install -r requirements.txt

pip install opensimplex --no-deps

Alternatively, if you are using the portable version of ComfyUI you will need to replace "pip" with the path to your embedded pip executable. For example, on Windows:

X:\path\to\your\comfy_portable_folder\python_embedded\Scripts\pip.exe install -r requirements.txt

X:\path\to\your\comfy_portable_folder\python_embedded\Scripts\pip.exe install opensimplex --no-deps```
#

for anyone that hasn't used it

winged seal
dusky thistle
#

yep, new stuff there

lavish sparrow
#

love the coherency in the image

sage burrow
turbid grotto
#

sd35m still tomorrow?

dusky thistle
#

afaik

#

tuesday

turbid grotto
#

curious how they'll make it work

sage burrow
#

2weeks

#

๐Ÿ˜‰

turbid grotto
dusky thistle
winged seal
noble coyote
#

Updated RES4LYF, added OpenSimplex - still Missing the Nodes

dusky thistle
#

did it actually load the node pack

noble coyote
dusky thistle
#

check the console

noble coyote
#

Console?

dusky thistle
#

yeah

noble coyote
#

Guide me towards the console - do you mean the terminal? Ah, OK

sage burrow
dusky thistle
#

most often you just need to reload your browser window

noble coyote
#

Says RES4LYF failed to load

dusky thistle
#

comfyui is pretty annoying about it

#

k can you paste the error?

noble coyote
#

Gotta go disable a few nodes ...

sage burrow
#

Does anyone on here use replicate for lora training? I can't tell if it's my HF setup that's messing every one up, or?

noble coyote
dusky thistle
#

you'll want to go farther up

#

that only says it failed but not why

sage burrow
dusky thistle
noble coyote
bitter hearth
#

I think Fal might be a better choice than replicate

#

in general

sage burrow
#

I have $10 in credits on replicate tho! Will go look at fal lol

dusky thistle
# noble coyote Here's the Console

Cannot import X:\ComfyUI_windows_portable\ComfyUI\custom_nodes\PyramidFlow-ComfyUI module for custom nodes: No module named 'tensorboardX'
Traceback (most recent call last):
File "X:\ComfyUI_windows_portable\ComfyUI\nodes.py", line 2001, in load_custom_node
module_spec.loader.exec_module(module)
File "<frozen importlib._bootstrap_external>", line 940, in exec_module
File "<frozen importlib._bootstrap>", line 241, in call_with_frames_removed
File "X:\ComfyUI_windows_portable\ComfyUI\custom_nodes\RES4LYF_init
.py", line 1, in <module>
from . import extra_samplers
File "X:\ComfyUI_windows_portable\ComfyUI\custom_nodes\RES4LYF\extra_samplers.py", line 11, in <module>
from .refined_exp_solver import _refined_exp_sosu_step_RF
File "X:\ComfyUI_windows_portable\ComfyUI\custom_nodes\RES4LYF\refined_exp_solver.py", line 12, in <module>
from .noise_classes import *
File "X:\ComfyUI_windows_portable\ComfyUI\custom_nodes\RES4LYF\noise_classes.py", line 12, in <module>
from opensimplex import OpenSimplex
ModuleNotFoundError: No module named 'opensimplex'

#

there's your culprit

turbid grotto
dusky thistle
#

in your venv you gotta run this

pip install opensimplex --no-deps

noble coyote
#

pip install tensorboardx

dusky thistle
#

If you are using a venv, you will need to first run from within your ComfyUI folder (that contains your "venv" folder):

Linux:

source venv/bin/activate

Windows:

venv\Scripts\activate

Then, "cd" into your "custom_nodes" folder and run the following commands:

git clone https://github.com/ClownsharkBatwing/RES4LYF/

**cd RES4LYF

If you are using a venv, run these commands:

pip install -r requirements.txt

pip install opensimplex --no-deps

Alternatively, if you are using the portable version of ComfyUI you will need to replace "pip" with the path to your embedded pip executable. For example, on Windows:

X:\path\to\your\comfy_portable_folder\python_embedded\Scripts\pip.exe install -r requirements.txt

X:\path\to\your\comfy_portable_folder\python_embedded\Scripts\pip.exe install opensimplex --no-deps``**`
#

look at the escond half there

#

depends on if you're using a portable or not

noble coyote
#

Says I already have OpenSimplex ... mebbe I didn't install inside venv

sage burrow
bitter hearth
dusky thistle
#

so you either activate your venv and run:

pip install opensimplex --no-deps

#

or you just run this

X:\path\to\your\comfy_portable_folder\python_embedded\Scripts\pip.exe install opensimplex --no-deps

#

and then you should be good to go

bitter hearth
#

fal have a rly fast endpoint for SDXL and Flux Dev
is why I was recommending them

dusky thistle
bitter hearth
#

bird has come to defend the naval college that got destroyed

noble coyote
#

Doesn't like me updating inside Scripts

#

Where is that '"D:\a\ComfyUI\python_embeded\python.exe" coming from? I don't have anything on my D:\ drive?!

sage burrow
bitter hearth
#

they mentioned it at some point the the last month or so
I hope the offer didn't expire

noble coyote
#

๐Ÿฅณ

turbid grotto
#

but not as slow as flux12b

lavish sparrow
raw shadow
#

Are there any authors of sd3 or sd3.5 here?

sage burrow
gusty trail
bitter hearth
#

they also make auraflow, which is nice

sage burrow
#

lol

lavish sparrow
bitter hearth
#

lol auraflow is nice its just not done yet

rapid pivot
muted dove
lavish sparrow
#

dragoncat sleeping in cozy hot spot

remote holly
noble coyote
#

RF Inversion for Flux - Prompt = Angry Boy Cartoon Style. Input Image on left

turbid grotto
noble coyote
#

I need a TensorRT for AuraFlow ...

gusty trail
winged seal
gusty trail
winged seal
#

@gusty trailwhat trainer are you using? I don't remember if you have said

gusty trail
#

I used my t2itrainer

bitter hearth
#

lower sigma_noise (s-noise) and possibly also lower eta

dawn spindle
#

hey yall, what's the most powerful model with the best speed to quality ratio to use on say an 8gb vram card? are there any nf4 bnb models like with Flux? Thanks

noble coyote
#

Anybody want Corel Painter 2023 for $28 (legit on HumbleBundle)

noble coyote
sacred jewel
lavish sparrow
#

i love sd3.5 more and more each day

#

concidentally ๐Ÿ™‚

#

the OG prompt was "an abstract creature made of shadows and mist" -> gets fed into LLM, which then makes 3 prompts for clipl, clipg, and t5

#

for flux, it didn't matter that much tbh, but i notice that sd3.5 REALLY likes if you do that

pseudo owl
#

Yeah flux doesnโ€™t even need the clip text encoder really, it has very very slight impact on the image.

lavish sparrow
#

overloading the clip gives the images the SD3.5 instability, so keeping that one short and concise helps a lot

lavish sparrow
lavish sparrow
noble coyote
#

SD3.5L Turbo 25 seconds, Flux.GGUF_Q8 90 seconds

lavish sparrow
noble coyote
lavish sparrow
#

now trying res 3s, but that's gonna slow it down even more

noble coyote
#

450 seconds

lavish sparrow
#

but, it does get results โค๏ธ

#

now experimenting with noise samplers

lavish sparrow
dusky thistle
#

what settings were you using

dusky thistle
hallow lion
noble coyote
#

Ten Hag - Ten Gone! S a c k e d at last!!!

#

"Generate marzipan and custard"

fossil pagoda
proven pecan
#

SD3.5T โค๏ธ

noble coyote
#

Hello

#

SD3.5L Turbo LLM

noble coyote
noble coyote
lavish osprey
signal shuttle
#

Oh right, SD 3.5M is releasing tomorrow, shame i can't test it out tomorrow because of work ๐Ÿ˜ฆ

craggy crest
dusky thistle
#

should be fun testing out all these sampling nodes with that... SDE works fantastic with flux and SD35L

craggy crest
turbid grotto
noble coyote
#

How will it cope with marzipan hegemony?!

#

Or herringbone custard?

#

Will we ever know?! googlecat

lavish osprey
mortal mesa
#

if you guys trained a cnet also ๐Ÿš€

somber briar
#

Hello everyone. Have any plans to realese 64ch vae for SD3 L?

bitter hearth
#

oh nice its the SD3.5 2B\

#

looks great, this level of high frequency detail would be good for tiled upscale

#

upscale pass doesn't need as strong a model

craggy crest
bitter hearth
#

the original SD3 paper ablated VAE size and found 16 a good compromise

#

if I remember rightly

lavish osprey
#

holy hell, even 16ch is already overkill

#

and it's basically underused most of the time

#

also how slow would that be uhm ๐Ÿค”

dim geyser
bitter hearth
#

Sana is trying to go the other way and make VAEs more efficient

#

at high res and low step count (I mean like 1-4 steps) VAE decode is an issue currently with existing models

sacred jewel
noble coyote
somber briar
# lavish osprey holy hell, even 16ch is already overkill

That may be the case. I tested with sdxl when training a model for anime, the vae was a bottleneck and really broke the characters eyes if they were not up close. I haven't tested the new 16-ch vae yet, but on reddit I think it was written that the sd3 8B model will have 64channels vae for the sd3 8B model

lavish osprey
#

sd3.5 Large (8b) is already out and has the same 16ch vae as sd3m

#

also sd3.5 Medium (2.6b) is made to reach 2k resolution and still uses the same VAE

bitter hearth
#

as far as I know there is a cost to beefier VAEs beyond just their size and execution speed, because they make the diffusion model harder to train
so the juice has to be worth the squeeze

mortal mesa
craggy crest
pseudo owl
craggy crest
bitter hearth
#

16ch VAEs will allow better quality at 1024 though

craggy crest
#

commercial photography studio shoot. soft, diffused lighting. spotlight on a table. on the table is a crystal perfume bottle full of pale pink liquid. a gold label with the words "Rose Touch" adorns the bottle

cunning lintel
pseudo owl
#

basic but ok

craggy crest
lavish osprey
lunar canopy
cunning lintel
# lavish osprey cool effect, prompt?

There in lies the problem :p SD3.5 is lovely chaotic, but in this case doesn't really follow the prompt, the effect doesn;t repicate at all for other prompts

A textured, tempera painting style on white ricepaper, the textured tempera painting is digital anime themed and depicts a close-up shot of a woman's hand, holding a paintball gun, the gun is small and compact, with a bright yellow paint splattered on its side, a vibrant splash of color against the muted tones of the background, the woman's face is out of focus, a soft blur in the background, but her eyes are determined, her gaze fixed intently on some unseen target, her lips are set in a firm line, a resolute expression that speaks of focus and resolve, the background is blurry, but the faint outlines of trees and a road are visible, creating a sense of movement and action, as if the woman is poised on the brink of something, ready to take the leap.

lavish osprey
#

I was thinking it could have been just very low cfg

#

you get crazy stuff like that

#

thanks!

cunning lintel
#

is 3.5 low?

lavish osprey
cunning lintel
#

Cool, hadn't noticed a whole lot of consistency loss going below 4.5, but i'm biased towards crazy looking :p

lavish osprey
pseudo owl
lavish osprey
craggy crest
#

jedi musk

sacred jewel
lavish osprey
sacred jewel
pseudo owl
lavish osprey
patent acorn
#

its the dayy

lavish osprey
patent acorn
dusky thistle
lavish osprey
dusky thistle
#

dormand-prince SDE with SD3.5L

lavish osprey
dusky thistle
#

they're pretty great

craggy crest
#

the superheros gather for a groupshot under a tree at the park. they are: iron man,spider-man,deadpool,batman,wonder woman

lavish osprey
dusky thistle
#

i had to rework the math but really happy with the results

craggy crest
dusky thistle
patent acorn
dusky thistle
#

currently building this node that will have as many explicit samplers as possible implemented as a butcher tableau:

lavish osprey
dusky thistle
#

i'm working toward a much more general release, once i implement a multistep version of that, should be able to delete like 80% of the code bloat from screwing around in my repo

#

def cuts down on the mutation/artifact rate, having just the right amount of noise

#

SD3.5L is real consistent once that's dialed in

lavish osprey
dusky thistle
#

fantastic model btw!

#

can't say enough how glad i am 8b was released

craggy crest
dusky thistle
craggy crest
lavish osprey
craggy crest
craggy crest
dusky thistle
#

first model i've been truly excited about since cascade

#

flux is really limited and boring, just no soul, 8b has life

craggy crest
lavish osprey
#

but if they were 3 different "names" that would be easier, like a woman, a dog, a plant, or a woman, a man, a cat

dusky thistle
#

i've had my eyes on 8b since day one

lavish osprey
dusky thistle
craggy crest
#

i think i work on this one for a bit

lavish osprey
#

uhm I'll try to find the one from my image

#

anyway maybe remove first, second and third and don't use 3 beings

#

I'd rephrase it completely with 3 different entities

dusky thistle
craggy crest
#

artist at work

#

Vibrant, iridescent, swirling scales-inspired mosaic, shifting colors in response to light, with shimmering turquoise, emerald, and sapphire hues, evoking the luminous beauty of opalescent glass, intricately arranged in a mesmerizing, fractal-like pattern.

dusky thistle
lavish osprey
#

prompt Portrait of a female rocker, expressive eyes, tattoos, attitude, sultry, pictorialism, dystopian, grim dark, goth, chiaroscuro, contrast, surrealism, gritty background, , grunge, graffiti, photorealistic, professional studio lighting, extreme photorealism, epic insanely beautiful, on the beach, (ultra-wide angle:1.3), pale skin, shadow, underexposed, polaroid color sx-70 instant film, faded, blurry, motion blur, ((grainy)),nicolas delort, light silver and turquoise Fujifilm X-T4, Sony FE 85mm f/1. 4 GM --ar 51:91 --style raw --s 750 --v 5. 1

craggy crest
lavish osprey
dull star
bitter hearth
cunning lintel
bitter hearth
gritty steeple
bitter hearth
patent acorn
bitter hearth
#

I think we have finally caught up to dalle 3 yeah

#

and midjourney for that matter

#

at the moment open source is essentially ahead, feels a bit weird

dusky thistle
craggy crest
bitter hearth
#

oh yeah I forgot about video completely this summer/autumn

craggy crest
#

an impressionistic painting of people having lunch beside a lake

cursive frigate
errant dust
runic tusk
winged seal
runic tusk
cursive frigate
#

Does anyone know of a way or a node that can either schedule to run a queue or pause a queue at a set time say right around midnight so when the date changes it will start the queue again on the new day for folder naming purposes?

runic tusk
craggy crest
craggy crest
winged seal
craggy crest
runic tusk
winged seal
#

That read is very accurate for me ๐Ÿ˜…

I have spent an absolutely absurd amount of time and energy on AI. Probably one of the most dedicated people in the scene, in my own way. I wasn;t kidding when I said I have trained over 1k LoRA's for SDXL for research purposes

craggy crest
craggy crest
winged seal
winged seal
#

no idea if a LoRA was used or not

craggy crest
winged seal
#

I know, I know, but Lykon trained 3.x

SD 3.0 Medium was basically a dreamshaper model lol

craggy crest
craggy crest
winged seal
#

3.5 seems to be much more neutral, but its dreamshaper aesthetic roots pop out very intensel sometimes

craggy crest
#

pictures of your new training?

craggy crest
winged seal
#

was messing with a mix of old trains on flix. Left is Lite, right is full Dev

Not too serious of a test, just a random assortment

winged seal
craggy crest
#

not too bad. is that the same black couger/cheeta prompt you used last night?

winged seal
#

yeah, but at a different aspect ratio, so it changed considerably

craggy crest
winged seal
#

its not bad, just very very strong in that image is all

#

like dreamshaper turbo

#

like this

#

just soooo much everything

I get why people like it, its just not for me

#

the people in my researchgroup refer to it as "Aetheti-slop" lol

craggy crest
#

what do you think of this out of curiosity?

winged seal
#

Its a specific type of digital image/processing/aesthetic

Just had dreamshaper get really popular with that aesthetic specifically, so I and a lot of people refer to it as the dreamshaper aesthetic

winged seal
craggy crest
winged seal
#

here like this

Sooooo much texture and "detail" and tonal contrast to make it more visually interesting, but it just passes a threshold, and ends up lookig super cheap and ugly, at least to me

#

just so visually messy, to the highest degree

winged seal
craggy crest
winged seal
# craggy crest

this doesn't look even remotely like what I am talking about, if thats why you sent it

craggy crest
winged seal
#

ah ok

#

well it looks cool ๐Ÿ˜‰

craggy crest
#

the thing in the back of your fridge when the light's off

dim geyser
craggy crest
dim geyser
#

ah maybe he'll see tomorrow

winged seal
craggy crest
craggy crest
dim geyser
#

ahh 3.5M isn't out yet until tomorrow right? he must have access I guess?

winged seal
#

That leads me to believe that medium will be a lot less coherent, but more "detailed", like the original refiner

Curious to see

craggy crest
winged seal
#

haha, good point

craggy crest
dim geyser
craggy crest
#

the developers and programmers usualy have access to the code

craggy crest
dim geyser
#

he does have a role for it

craggy crest
dusky thistle
craggy crest
dusky thistle
dusky thistle
turbid grotto
#

today is the day gonnabegood gonnabegood gonnabegood

dusky thistle
remote holly
#

Will sd3 medium have a decent inference time ?

turbid grotto
#

it's the size of sdxl

#

The only thing I am worrying is that it being advertised as refiner

flat oracle
lavish osprey
lavish osprey
turbid grotto
#

hope bytedance will make hyper lora for sd35l ๐Ÿ™

lavish osprey
dusky thistle
craggy crest
dusky thistle
#

oh it works great

#

just going to take a bit to reduce the math back down to something portable

#

and easier to manage/modify/etc

craggy crest
dusky thistle
bitter hearth
dusky thistle
#

yeah like how turbos are used for upscales a lot now

bitter hearth
#

yeah my upscales are usually TCD or PCM and 2-20 steps

#

whereas the initial image was often 60-1500 steps

turbid grotto
bitter hearth
dusky thistle
#

just get pair of 5090s, one for positive and one for negative conditioning

#

thats pretty much my plan

bitter hearth
#

I think SDXL/SD1.5 are still strongest models overall, given their amount of libraries

dusky thistle
turbid grotto
#

I am always using hyper lora 8steps

bitter hearth
dusky thistle
#

yeah

turbid grotto
dusky thistle
#

but for inference, dual 5090 will be insane

#

gonna have to modify the comfy code a bit to get it on separate devices but it'll be wort hit

bitter hearth
#

it would be insane yeah

dusky thistle
#

will be insane, i'm totally gonna do it lol

#

43520 cuda cores for inference

bitter hearth
#

H100s/H200s aren't even that much faster than 4090s
dual 5090 will likely be faster than a single H100 lol

dusky thistle
#

prolly eah

turbid grotto
dusky thistle
bitter hearth
#

I thought that not having ZTSNR and 16 channel VAE would make SD1.5 and SDXL not useful any more
but if you have done tiled upscale up to 8k+, the VAE artifacts are minimal with SD1.5 and SDXL

#

plus SDXL actually has ZTSNR I am just too lazy to set it up
you can merge CosXL with each SDXL model you want to use, and you get your ZTSNR

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I don't know if using CosXL would break a ton of SDXL comfy nodes or not

dusky thistle
#

it does i think

#

it's too bad cosxl came out so late

bitter hearth
#

at some point Emad said that CosXL nearly made it as the original SDXL release ๐Ÿ˜ฟ

dusky thistle
#

i really wish it had been it

bitter hearth
#

we could have had good blacks and colours since July 2023

dusky thistle
#

yeahhhh

#

first we got was cascade

bitter hearth
#

wait, cascade is ZTSNR? ๐Ÿค”

#

I might have made a mistake by skipping cascade tbh

dusky thistle
#

i think?

#

it's great with it

#

well, just like cigarettes, it's never too late to start ๐Ÿ˜›

bitter hearth
#

is there a best setup that you guys worked out for UltraCascade?
I remember there were some fine tunes and a tiled ksampler or something

noble coyote
#

SD3.5L Turbo

dusky thistle
dusky thistle
#

got some real good WFs in the thread somewhere

#

the most aesthetically plseaing shit i've ever generated was with ultracascade, zero question

bitter hearth
#

somewhere in the thread someone layed out the folder structure that is needed, I've gotta go digging

dusky thistle
#

it's really simple now

#

just need everything in models/unet

#

where it normally goes

bitter hearth
#

ok so I can just take this one Intriguingly, the ultrapixel_t2i.safetensors file available on the original HuggingFace repo is not actually a safetensors file, but rather a pytorch save (a pickle). I converted it to a legitimate safetensors file: https://huggingface.co/ClownsharkBatwing/ultrapixel_convert/blob/main/ultrapixel_t2i.safetensorsand this one I finetuned stage B lite and highly recommend using it, even in place of the full weights. I've found it generally leads to sharper, more coherent details, with a significant reduction in "nasty Cascade noise": https://huggingface.co/ClownsharkBatwing/Cascade_Stage_B_CSBW_Refined/blob/main/stage_b_lite_CSBW_v1.1.safetensors
and then install ClownsharkBatwing/UltraCascade to custom nodes folder?

remote holly
#

Same

livid plover
#

medium 3.5 drops today?

bitter hearth
#

not sure

cobalt moon
#

In 2-4 hours ig?

#

UK just reach midday

noble coyote
#

3.5L dropped at 16.15 UK Time ...

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Flux/Florence2 i2i

gusty trail
fossil pagoda