#🏞|general-with-images

1 messages · Page 75 of 1

dense tapir
wispy nest
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and this was my old border embedding, so much stuff half finished :P

dense tapir
dense tapir
dense tapir
smoky oak
sterile temple
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I'll check it out

smoky oak
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let me know how it goes!

idle crater
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Eye doctor logo

smoky oak
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@sterile templepleaselower the "sexy attire" score on the 13+ image, if you can lmao

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I am not sure how that green dress is "sexy attire" lol

sterile temple
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first pic 🙂

smoky oak
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o-oh lmao

sterile temple
smoky oak
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I mean

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go off lmao

sterile temple
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was it trained using 512 images?

neon crystal
smoky oak
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thanks :>

smoky oak
sterile temple
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tweaking the prompts to try to get images that don't look like a hot mess lol, now I'm getting action figures

smoky oak
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weird, I made it quite easy to use

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what strength are you at?

sterile temple
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0.8

smoky oak
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can you send your positive prompt?

sterile temple
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(funko) [[Donning a sleek, leather biker jacket with studded details and zippers, paired with skinny jeans]] atmospheric lighting depth of field <lora:Funko Test:.8>

smoky oak
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ah, specifying too hard with details tends to bring the results back to realism, just a sec

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<lora:Funko Test:.7>, Funko, leather jacket, jeans, zippers, woman, female, eyelashes, bokeh

sterile temple
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Alright I'll try that. I don't mind the action figures though 😄

smoky oak
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yeah, it can do some really cool action figures haha

sterile temple
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maybe it's my negative prompt?:: dull colorless blur logo packaging watermark branding (Box, mouth:1.3) (plain background:1.2)

smoky oak
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oh yeah, thats a very thin negative. I'd say just mess around and see if you can get some fun results

sterile temple
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my model was just being stubborn, I had to increase the weights

smoky oak
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OMG, it works with anthro models haha

sterile temple
sterile temple
neon crystal
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I'm just gonna leave this here casually and pretend I have nothing to do with it.

hasty nova
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you have got to be kidding me

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I trained all night

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and the model still isn't saving properly

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I need to reinstall dreambooth every time I want to train now or something?

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wait was it because I didn't save the lora weights or something, idk, might be that

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but I don't feel like retraining much

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But hey, from the samples I learned it doesn't really need to go past 50k steps before getting overtrained on specific images

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wait I just realized the last model in that x/y plot is the wrong model woops

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was not supposed to be deliberate

cyan snow
oak osprey
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nice

wispy nest
oak osprey
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uhhh my model can do jb

oak osprey
cyan snow
oak osprey
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no style keyword -> pointillism -> stippling -> legato

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grandpa and grandma sitting at the dinner table, playing with advanced alien technology

cyan snow
cyan snow
oak osprey
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SDXL still adds watermarks lol

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the fuck is with that hand

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most of its outputs seem to have watermarks. good job finding clean training data guys

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tell me it's all stolen without telling me KEKL

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@smoky oak so joe penna leaked (accidentally i assume) the details of the fine-tuning hw being used on SDXL and it cost around $15,000,000

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Granted, we're probably using a whole lot more images than you -- and getting it done a whole lot faster.

But that's what makes finetuning a lot easier for you later, eh?

cyan snow
oak osprey
cyan snow
cyan snow
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like 2.1 feels worse than 1.5

oak osprey
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SDXL is better than base 1.5 or 2.1 if that's your only standard for comparison, yes

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DeepFloyd is better than base 2.0 but perhaps not 2.1

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2.1 has better photorealism and its noise that remains in the image by default (base model) is more tolerable/beautiful than what DF does for photorealistic images

cyan snow
cyan snow
oak osprey
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it's entirely subjective, bruh

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you can get absolutely killer photorealistic images out of both. and when you fine-tune them, the differences are such that it takes essentially a photo editor type person that zooms in and stares at pixels for too long, to care about them.

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but you have to remember that SD1.5 has an internal representation of the 512x512 image, in 64x64 space

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it outputs a 512x512 image through "super resolution" skills that SAI taught it by pairing low res images with high res images

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so anything based on SD1.5 lives within that 64x64 space, which is nowhere near enough pixels to represent things properly

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there's far greater potential with the 768x768 2.1 model, or DeepFloyd which has subsequent layers that are trained more thoroughly on this super-resolution part

oak osprey
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yeah it has two variants, a 512x512 with similar architecture to the SD1.5 model's unet and a 768 that has a larger dimension internally, which means it takes more memory during inference and training

cyan snow
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like higher res

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huh, then why are most models on civitai and HF still use 1.5?

oak osprey
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people are lazy and do not want to re-train from scratch, there's more realistic models to merge endlessly for 1.5

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more people do merges than actual training now

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i literally can not stand looking at 1.5 anymore after fine-tuning 2.1

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like i'm a day or two away from simply deleting them all from my database of models my users can use on my bot

cyan snow
oak osprey
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uhm, nope

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they have different text encoders, different parameter count, different vocab size

cyan snow
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huh, so basically this community will start to finetune on the newer version eventually

oak osprey
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probably not

cyan snow
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then that means we will stay on the same level

oak osprey
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the loudest parts of the community will likely not change, and will probably just continue to shit on new models released

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once SAI removed art styles at the behest of authors artists, and nudity as a result of lawsuits and other liabilities, the community cries "censorship" and says "don't treat us like children, allow us to police ourselves" despite the self-policing not working being why they did that

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i went to the CivitAI discord this morning to request help, and the kinds of people and the content they allow over there. big yikes

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i would be cautious when you hear any kind of "opinion" of "the community" and remember these people's habits and tendencies, and then, balance their opinions against reality.

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ask General Awareness about his issues training 2.1 with Khoya and how the developer of that toolset, tailors it toward a certain "genre" of generative artwork, and how he does not care / is dismissive of anyone who suggests there's some issues with their approach

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interesting how Artius v2.1 removes some of SD's bias by generating females or males in occupations they're not traditionally known for. example. an elderly wizard prompt brought back a cute grandma wizard.

wispy nest
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this image is very cool, its from the movie beyond the black rainbow

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do you guys know how i can replicate it in stable diffusion?

oak osprey
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man apparently LAION is working on multi-lingual OpenCLIP

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that sounds really cool

surreal thistle
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Presenting… the Siak Dang.

oak osprey
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and you didn't even mention you're announcing the Siak Dang Fold today??? so humble

surreal thistle
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As well as the Siak Dang “os Thent Homy Parle” Edition.

oak osprey
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is this SD1.5?

surreal thistle
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Yep.

oak osprey
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nice

surreal thistle
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It also made these ones.

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“Could you please tell me the date?”
“09 Jerk.”
“K, thanks.”

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The rest of the text looks like Tamil, which is weird because I told it to generate “Spanish text”.

wispy ether
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e scooter just folded up at 25km/h for no reason i flew there

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🗿

surreal thistle
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Which style of girl do you prefer?

gritty cedar
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hahah all artstation does is tag images "NoAI" in the metadata lmao

gritty cedar
surreal thistle
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Well, it looks less like a plastic doll.

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The left one is Playground 1.0, the right one is SD 1.5.

gritty cedar
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ok but I can make a photoreal image with 1.5?

surreal thistle
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Can you?

gritty cedar
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yeah here one sec

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its not that hard really

surreal thistle
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It’s quite hard for me.

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For some raisón they don’t look too realistic.

wispy nest
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if you're using things like "face fix" then it might be the cause, other than that, it's mostly about the model and prompt you use. But that's like saying that grass is green. :P

surreal thistle
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I literally put “imperfect skin” there.

wispy nest
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define "not perfect," is it 99% perfect, or 10% perfect? ;P

surreal thistle
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Hmm.

cyan snow
surreal thistle
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Whatever the cause might be, the percentage is definitely a bit too high.

wispy nest
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it's a learning curve, and how one person writes their prompts might not be like the next person would do. And then it's the whole "what is X to me, and what is X to you." But those things are boring to talk about. :P

What I mostly thing about is, "if I want X, is the way I see X how the ai see X as well?" The way I write prompts wouldn't be close to coherent as english :P

surreal thistle
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They’re not as bad.

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But there’s still this unnecessary glossiness.

wispy nest
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there's many reason for everything, but over time, it gets easier to get what you want :D

surreal thistle
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I’ve been doing AI since 2021.

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Back then it was only good ol’ Artbreeder.

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In March I was still using Artbreeder, but in April I started using Playground.

neon crystal
wispy nest
surreal thistle
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Yes.

wispy nest
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creepy af

surreal thistle
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I put in “25 year old girl”.

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But it doesn’t look like the AI processed this info correctly.

wispy nest
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"girl" is, when used in news or research (using american english) as a "female under the age of 18," but in general speech we can use it for females below 30, and then there are people who have their own limits when to call them X or Y :P

neon crystal
surreal thistle
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So “25 year old young woman”.

cyan snow
wispy nest
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hehe, if you wrote it like that, then the people writing the "chicago manual of style" would complain that it's unnecessary to say the same thing twice ;P

25 year old is more detailed, but still similar, to "young woman" :P

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but the ai doesn't really use the dictionary definitions. It has its own "thoughts" what things are

surreal thistle
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Oh, NOW she looks grown up.

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Still looks fake though.

cyan snow
wispy nest
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is that a bad thing? I don't think I've seen many realistic images when it comes to the ai yet. They are all just "off" somehow, but I'm also not one who like those images in general just because they need a level of work far higher than anything else

surreal thistle
wispy nest
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yeah, I get that a lot as well, the image is super nice to me but then I notice something off and that thing, how little it might be, changes the entire image :(

surreal thistle
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This is a good one though.

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Probably one of my best ones.

wispy nest
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yeah, I like that one. Mostly because of the blush/freckles it always adds :D

surreal thistle
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This one is also not bad.

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These are also some of my best in a long time.

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I'm not sure which style to use, the painting/photo mix-up or the full-on realistic one.

wispy nest
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depends on what you want to use it on, and also: why not use them all? :D

surreal thistle
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I was thinking the same thing.

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But some styles are harder to get than others.

wispy nest
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as long as you don't forget or delete the prompts, then you can always save them forever :D
But I'm not someone who know much about realistic and/or photo stuff as my "limit" on realistic skin is this. :P

surreal thistle
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Mm.

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Is that Playground as well?

wispy nest
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no, it's auto1111's webui I run on my computer
I only use "my own stuff" and don't mess around any sites, mostly because I'm too lazy :P

surreal thistle
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I don't run anything locally because my computer is:

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Boil 'em, mash 'em, stick 'em in a stew!

cyan snow
wispy nest
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the real reason why I use my own stuff is because I want to get the images to be as sharp and unblurry (caused by noise, not by style) as possible.
And I learned that the only style that can do so, so far, is anime/cartoon style

surreal thistle
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The cartoon style CAN be pretty good.

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This is supposed to be a mother with her daughter.

cyan snow
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i done that myself many times

wispy nest
surreal thistle
cyan snow
surreal thistle
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This one is pretty fake now, I really don't like those eyes.

cyan snow
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this is the original one

surreal thistle
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With the Makoto Shinkai keyword it becomes better.

wispy nest
cyan snow
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it's an album that simulates dementia in the form of music

wispy nest
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Heh, I never understand abstract stuff…but I think that's also its definition ;P

surreal thistle
wispy nest
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This is what I like when it comes to anime sharpness, but I'd like something similar in general, but I don't really know how to explain "what it is I really want" hehe

surreal thistle
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I like either impressionism mixed with photorealism or Makoto Shinkai's style when it comes to AI.

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But it keeps generating two people when I want 1.

cyan snow
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also, many models of AI in general, make this kind of stuff

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photo-realism is very evolved in AI

wispy nest
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yeah, those things are examples of too blurry for me :(

cyan snow
surreal thistle
wispy nest
# cyan snow this is too blurry? its a 4k image, i made plenty of those

yeah, I'd say they are too blurry.
But don't get me wrong, I don't think they are bad images. They are awesome, but when it comes to photo real, then I want next to no blur whatsoever as if taken by a state of the art camera. You know one of those super refined, down to each pixel detailed.

I know it's a super high bar, but I just can't get past blur when it comes to the AI, I must have been bullied by a AI dev when I was young or something :P

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blur as a style is super nice and images like this have no issues for me because my eyes don't start of with "this is meant to be a realistic image" in the first place :/

sterile steeple
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how can i achieve something like this with stable diffusion also what model name can do something like this one ?

wispy nest
sterile steeple
wispy nest
sterile steeple
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i like cartoonish style something like digimon , and wants to try creating some creatures like them for fun ^^

wispy nest
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everything is possible, but it also might need as much work ;P

cyan snow
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2.1 models seem to be a bit more creative in general

oak osprey
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don't say that you'll upset them

cyan snow
wispy nest
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yeah, 2.1 has the ability to create much better details :D

cyan snow
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also, less ai monstrosities

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i didn't get even a single conjoined twin. i think that is due to more parameters

wispy nest
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aren't the two castles technically twins? :P

hasty nova
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@smoky oak @oak osprey I guess since you two have the best eyes for this... I have just created the first testing plot for DD v3. Keep in mind this one was trained from scratch unlike v2 which was trained on top of v1. What do you think? I know the colors arent as cinematic or dramatic, but it is more painting like which is in the prompt.

cyan snow
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and in this case 2 castles was in the prompt

tame wagon
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Does anyone know a tool that writes the title and tags for an image?

wispy nest
oak osprey
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@hasty nova it's interesting how this effect reminds me of paintings i have seen in museums where the photo-realism gets me wondering how they've pulled it off

cyan snow
oak osprey
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like their eyes actually look wet and reflective. i don't know if you're going to more realistic skin textures or if your prompt is asking for paintings

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the skin is still an issue if so, but otherwise to me, the hair looks very 'clean' aka not compressed artifact-laden

wispy nest
cyan snow
oak osprey
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at this level of quality it's highly subjective but i like this sample the most as its lines are well-defined and has good contrast

but a question is how do these results change across a larger sampling of prompts. do you see consistently better contrast at this ckpt etc

hasty nova
wispy nest
oak osprey
cyan snow
surreal thistle
cyan snow
wispy nest
hasty nova
surreal thistle
wispy nest
cyan snow
wispy nest
hasty nova
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I am going to try the exact settings of this image from v2

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It was one of my favorites

oak osprey
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his hair becomes like a shield of smeared paint in the last checkpoint

hasty nova
oak osprey
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probably the 3rd or 2nd to last

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but these issues can be resolved with prompting

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definitely can't say which ckpt i prefer unless i see more prompts 😛

#
    prompts = {
        "woman": "a woman, hanging out on the beach",
        "man": "a man playing guitar in a park",
        "child": "a child flying a kite on a sunny day",
        "alien": "an alien exploring the Mars surface",
        "robot": "a robot serving coffee in a cafe",
        "knight": "a knight protecting a castle",
        "menn": "a group of men",
        "bicycle": "a bicycle, on a mountainside, on a sunny day",
        "cosmic": "cosmic entity, sitting in an impossible position, quantum reality, colours",
        "wizard": "a mage wizard, bearded and gray hair, blue  star hat with wand and mystical haze",
        "wizarddd": "digital art, fantasy, portrait of an old wizard, detailed",
        "macro": "a dramatic city-scape at sunset or sunrise",
        "micro": "RNA and other molecular machinery of life",
        "gecko": "a leopard gecko stalking a cricket"
    }
hasty nova
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im working on it, got an oom though

oak osprey
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i like the third one again

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third new one i mean

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i wonder if you can bring out some of the old versions' character with prompt changes

hasty nova
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probably

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it probably uses slightly different prompting

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its worse at higher res

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not great :/ but the prompt is also pretty bad

stone cipher
stone cipher
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a dramatic city-scape at sunset or sunrise

oak osprey
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@hasty nova here's all my results for the top prompts on your page

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i used the same non-cherry-picked seed from each gen, but it's a different seed than you used

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in case that helps in some way

wispy nest
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hehe, those are the twins I remember :P

oak osprey
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i was surprised to see it duplicate

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none of the other prompts did

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oh, the owl did

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but i selected the malformed owl over the non duplicated output because it was cuter and had a hat

wispy nest
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yeah, it's random'ish. I've mostly noticed that happen at very specific aspect ratios, no idea why otherwise why it happens like that

oak osprey
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i am using 1152x768 which i found works very well

wispy nest
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good thing we're not paying a normal artist for this or we'd be out of a lot of money :P

hasty nova
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which is better in terms of "watercolor"

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I personally think the right

wispy nest
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first one because the background of the second one kinda make it look like someone has cut out and then glued the cat to it :P

wispy nest
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but I like both of them :D

hasty nova
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Ok, I have decided the model isn't any better.

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Not sure what to do differently other than a different learning rate.

wispy nest
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at least you learned stuff? :D

hasty nova
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Although I may not have tested thouroughly enough

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I just decided it kinda started losing some things

wispy nest
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there will always be such reason, the important part is to know when to continue and when not to. :)

hasty nova
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Yeah. v2 is ok but I felt didn't have a diverse enough datset.

wispy nest
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that's also the normal response in the end. :P
But yeah, now you know more what to do in the future :D

oak osprey
#

some people have found that it helps to train for 1 epoch with the TE unfrozen and then stop, create checkpoint, and re-train again for your full run with the TE frozen

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finally, create a new pretrained checkpoint and run training again from that for 1 more epoch, to "bring the weights up" and make it more coherent

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but i'm not sure what training data they use for each run, if they break it into chunks or potentially repeat

hasty nova
oak osprey
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disable text encoder training

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i'm so tempted to just stop generating class data where i'm at now and begin a training run to see what happens with something like a 1 to 1 ratio of training to class images with a diverse tag set of training data

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oh man

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i'm not there yet

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i have 17,252 class images so far, and 22,976 training images

hasty nova
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yeah that makes sense

wispy nest
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That's enough for now, I'm not much for landscapes but even I can tell that; yes, this is one :P

oak osprey
cyan snow
oak osprey
#

4k steps is super creative, understands prompts very well. but when at 13,000 steps it takes more work to get images but they have more style when you can get what you want. it kinda sucks, because the text encoder clearly went Alzheimer's once the polynomial rate rose too high, and you can tell if it hadn't, the 13k model would be far better than the 4k one

hasty nova
oak osprey
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i save every 1,000

hasty nova
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I don't have enough space to do that

oak osprey
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😭

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lmao push each one to hugging face hub via git

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that'd be wild

cyan snow
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also, this is with a 2.1 model

smoky oak
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just look at that beard detail improvement

hasty nova
smoky oak
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I will just start off with saying V3 looks considerably better on a detail vs artifact level

wispy nest
smoky oak
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uhhh

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you mean the right?

hasty nova
#

Thanks! But I ultimately decided it has too many other negatives to release in its current state. I am going to try @oak osprey 's advice next time I have the ability to train.

smoky oak
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the left is a smeary mess compared to the V3's

oak osprey
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that advice is to freeze the text encoder after 1 epoch of pre-training warm up and then frozen text encoder for like 25 epoch and then unfrozen for one more

wispy nest
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almost, it's the top left corner of the right image that breaks the "realism" for me, while the left one doesn't have that "smooth" skin. :P

smoky oak
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the V2 is just crusty

oak osprey
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yeah i agree Sytan the new eyes are like glassy and wet looking

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ever been to a museum and seen amazing paintings?

smoky oak
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this one looks like a crusty filter on a photo

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this one looks like an intricate painting

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to me, at least

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the details are lower and higher in the areas that should be lower and higher

hasty nova
smoky oak
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I would have to say at least a 40% increase in the issues I saw in the model

hasty nova
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or painting-like

wispy nest
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while the second image didn't look as much as the same "close up of a photo," probably because of it being a painting :P

smoky oak
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this one looks fantastic, great work @hasty nova

smoky oak
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you are def heading in the right direction

hasty nova
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I think it's the dataset improvements

smoky oak
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oh! I wonder if my new mouse is here :V

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WOOO it is!

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brb

wispy nest
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and my test of a "castle on a hill" is not going well at all :P

smoky oak
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ok, so my new mouse AND my external m.2 bay are both here

wispy nest
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I think this was the best result I got, very much castle... :P

oak osprey
smoky oak
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I don't need one now that I undervolted lol

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this 3080 draws about the same as my 3060ti now

oak osprey
#

Vincent Castle painting

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then i learnt his name is Cassel

smoky oak
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awesome, new mouse feels great :D

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its wireless, so I don't have to worry about wires anymore, thank goodness

wispy nest
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is vincent the artist who makes such paintings? I've noticed that castles have a larger chance to have those disney/triangle tops, even being blue more often than not :O

oak osprey
#

was that, uh, a big issue? wires?

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you replaced the permanence of a wire with the ever increasing entropy of batteries

smoky oak
oak osprey
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idk what the hell that means lmao

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its like reading a different language

smoky oak
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my front middle monitor is usually my main, its a 34 inch 75hz ultrawide

But if I am gaming or watching a show, I use my left monitor cause its a much brighter and more responsive 165hz 27 inch monitor, and it requires me to move my mouse and keyboard over, which is a huge pain with a wired mouse, cause the cable is so stiff that it starts putting back pressure on my movements from the cable touching the monitor stand

stone cipher
stone cipher
past pelican
#

Anyone up for a historical challenge? I've been trying to recover the SD image source of googlecat for a long time now. It was generated a long time ago, but I am pretty confident I know which model was used. Unfortunately I no longer have access to the source of the image to check.

I do have a pretty good estimation of the prompt, the sampler, the steps, the model and even the seed. The problem is that this was created back when the stable diffusion bot would spit out 4 images at the same time. The image produced was index 1 so the seed isn't exactly the same seed.

Here's the original image data:

#1008107175715012669 message

The name of the image is:
"my_husband_puts_googley_eyes_on_everything.Googley_eyes_stuck_to_our_poor_cat_mixed_media.-n_4_-i_-S_2120710778_ts-1659937824_idx-1"

However when trying to generate it from scratch you don't get the same image.

#

Here's what I do know about the image:

-The timestamp is: 8/13/2022, 2:02:08 PM which means the model was either SD 1.3 or SD 1.4
-It also means that the sampler was probably LMS / K-LMS with a default step count of 50.
-The seed is probably: 2120710778

oak osprey
#

new optimizations totally change the output, eg. xformers

past pelican
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I hadn't considered xformers. You're right.

oak osprey
#

torch wasn't using Generators for a while. people were doing torch.manual_seed but might not have set the numpy seed, and the seed was likely generated on CPU

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in fact that bot might not have even used Diffusers

past pelican
radiant plinth
radiant plinth
wispy nest
# stone cipher

nice pete. looks like a still from a 60's french historical film to me

smoky oak
#

Alright, I got my new mouse working

wispy nest
#

noice

#

I usually just need to plug mine in to do that

smoky oak
#

@dense tapir Look that this jokery lmao

wispy nest
#

control net? her posture looks decent at least

wispy nest
#

noice. looks pretty professional.

#

Gonna be honest and say that I have no idea why those images have better pose. It's 100% luck, somehow :P

smoky oak
smoky oak
#

woo, and now i have 4.5TB of solid state drive available at all time s:>

dense tapir
#

I came in with Solidworks-09 back in 2011 then 2012, on up (2015 was utter shite). Those other programs are ancient too.

smoky oak
# dense tapir WTF? Why all those ancient versions?

These are now part of the spec view perf suit cause they are old enough to license or something like that

Either way, they show relative performance as the tools still use most of the same SDK's and stuff

dense tapir
#

Ahhh

#

so old as to be useless for anything but this

smoky oak
#

they are standard test suits now

smoky oak
dense tapir
#

the first HUGE advancement of Solidworks, for instance, was 2009 to 2012. People still use 2014 version too

oak osprey
#

what about Houdini

smoky oak
#

I forget which one, but there is a workstation software where AMD destroys NVIDIA

dense tapir
#

Houdini on a 4060 anything would be laughable

smoky oak
#

most serious houdini work is done with CPU's anyways

dense tapir
#

I still can't find what I need for actual 7k series cards infering and training. I even go to the AMD SD discords and I just flat out asked " I just wish I could see some actual numbers of 768x768 for inference as well as training lora/lycoris on a 7900XTX even though ROCm is not yet made for it. Why has no one shown this, or is it really so bad it is an embarrassment?" No response.

oak osprey
#

i wish i had one i could test for you

#

is there a place that rents time out on them?

dense tapir
#

Ceres has one

#

but he is silent lately.

#

Nope, not that I know of.

oak osprey
#

The output on a AMD 7900XTX would look something like:

Average step time: 47.19188690185547ms/it
Clip Inference time (ms) = 109.531
VAE Inference time (ms): 78.590

Total image generation time: 2.5788655281066895sec

dense tapir
#

All these rental places are in third world countries and will only put up what is best so Nvidia. I don't ever doubt they are better but by how much for the ungodly prices they are charging.

#

I hated Shark

oak osprey
#

they published figures for it

#

that's all i'm pointing to

dense tapir
#

Yes, for them not for general automatic1111 type stuff.

#

Shark is really weird

oak osprey
#

it should be pretty much the same. the inference speed is roughly the same across different models

dense tapir
#

compiles everything then runs off that but change the model, or the rez and it has to recompile that. As they said we are for speed not space so several 100 TBs might be needed for special cases where you change models, and resolutions a lot.

#

I get what they are doing, and why they are doing it because all the thinking is done one time then it only needs to be concerned with the more minor things. Does help in speed but 100 to 1000s of models is crazy too much for me.

#

Also it doesn't train 😦

#

For me that is my biggest metric

oak osprey
#

i compile my models

#

i've basically stopped using any models but my own though 😁

dense tapir
#

compile does not mean train

#

Be nice if Shark could train, but I don't see how with how it is set up.

oak osprey
#

compile as in put it through TorchDynamo

#

make a compiled binary

dense tapir
#

ahhh

#

yeah, screw that for most we just use safetensors and are happy

oak osprey
#

i run mine on a discord bot, so, the trade-offs are well worth it to use Diffusers

#

the number of generations that thing does

dense tapir
#

right, for most running locally that is a headache

oak osprey
#

yeah unless you're batch generating class data for training

#

then you really should try that

dense tapir
#

Joe Penna's has always used diffusers and the quality is bar none the best but needs 24GB cards. Hence my need for 24GB.

oak osprey
#

yeah. training 2.1 in 16bit mode was found to cause catastrophic loss in the text encoder

dense tapir
#

yep

oak osprey
#

it needs at minimum bf16 but at the ideal place you're using fp32

smoky oak
#

this new mouse is growing on me

oak osprey
#

someone call a doctor 😦 help my friend

#

he has a mouse growing on him

dense tapir
#

yeah, and no BF16 on any sub Turing card so T4 couldn't do it, nor could I locally.

oak osprey
#

have you ever tried DeepSpeed?

dense tapir
#

No, because I have never heard of it before.

oak osprey
#

oh, it's used to get DeepFloyd vram use down to like 6gb

dense tapir
#

is that the 4bit thing?

oak osprey
#

i honestly don't know what it does

#

i just wanted to get good basic results first and reproduce them before i start experimenting like that

dense tapir
#

suddenly, everyone is running around wanting 4bit because it allows for much larger models.

oak osprey
#

i could see that working

dense tapir
#

I see 4bit and think ZX87

oak osprey
#

the internal dimensions of the image in SD is 64x64

#

you could do more with 4bit

#

work in multiple layers that get blended, so that you can make more than 4bit worth of colour or smth

#

idk

dense tapir
#

I still think 64x64 is a source of some issues, but others can disagree if they wish.

dense tapir
#

it is plenty big enough (53x64) reminds me of "640K is all we will ever need".

native stag
#

what software do you use ?

dense tapir
#

one of my extensions I updated and is now wigging out. 😦 total error.

#

yep, a ticket from 10h ago seems the dev broke his shit and published it anyway.

sterile temple
#

You can usually delete the folder for that extension if it's causing issues

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

Currently, there is a public bot on the server that generates images available as a research beta for SDXL, you can find the current status of the bot in #1047610792226340935. There are plenty of ways to use Stable Diffusion such as the official https://dreamstudio.ai/ website or by running Stable Diffusion locally using your own hardware - check out #1080946152318443610⁠ for more details! You can also stop by #1025467151206854736 for any issues you experience while using DreamStudio or #🤝|tech-support for any problems you encounter while installing it locally!

smoky oak
#

most of us use local installs of A1111 tho

dense tapir
smoky oak
#

IDK if you guys saw, but we have access to

#

BIG TEXT

#

now

sterile temple
#

Now new users can try and send prompts here with big text?

dense tapir
#

I wonder how good this is - Sampler: DPM Solver++

sterile temple
#

do an x y chart

dense tapir
#

We do not have it in automatic1111

sterile temple
#

oh

dense tapir
#

hence my asking

dense tapir
#

Well, lol

wispy nest
#

do you need this model v1-5-pruned-emaonly.ckpt for automatic1111 web ui or can I run any other model instead of that?

dense tapir
#

any, that is just the default one if you have none it downloads I think

dense tapir
#

lack of skin texture is alarming. 😦

sterile temple
#

too much cocoa butter

dense tapir
#

eating it or rubbing it on?

sterile temple
#

rubbing it on

#

and maybe eating too 😄

dense tapir
#

hehehe

#

I am surprised at the lack of texture to be honest

#

As if a rubber balloon.

#

Those vinyl blow up ones

sterile temple
#

well it seems to have a base, so maybe it thought it was making a vinyl figure

dense tapir
#

Yeah.

#

I am noticing openai follows prompts better

#

This is nuts

#

I don't get why it is cut off like that

#

dang, another prompt cut off

#

I find stable diffusion loves doing that

sterile temple
#

the wing bone's connected to the.. tit bone

dense tapir
dense tapir
#

Maybe it is this seed doing it

sterile temple
#

I find some seeds can be pretty strong, and you will get the same composition no matter the subject

dense tapir
#

Same

#

which is ironic and makes one wonder

#

A different seed

sterile temple
#

like if you're trying to get particular pose and the model just gives them broken arms or three legs because the seed is trying to draw something else?

oak osprey
sterile temple
#

and sometimes you just get a picture of a steam train, just cause

dense tapir
sterile temple
#

colourful even if it is a hot mess

dense tapir
#

Candyland gone wild

sterile temple
#

Central American volumetric lighting depth of field bokeh Double Exposure lens flare Vignetting Chromatic Aberration
(one central figure:1.3) Candy land, sweet treats, colorful confections, whimsical atmosphere, delightful fantasy (Piece of Mind:0.0) An artwork consisting of soothing, harmonious color gradients, creating an aura of tranquility and peace

#

I'm just mashing together wildcards I've made with chatGPT to see what it spits out

tame wagon
#

Does anyone know a tool that writes the title and tags for an image?

sterile temple
dense tapir
tame wagon
#

@oak osprey I googled ''captionr'' but didn't find anything

sterile temple
oak osprey
#

first result....

dense tapir
#

SD 😦

tame wagon
dense tapir
#

3 wheels in the back and only one in the front

#

looks like six wheels so missing 2

sterile temple
#

It needs the extra wheels on the right side to stop the truck from tipping over when the extend the lead canopy

dense tapir
oak osprey
#

using 8x A100's now to get the training time for this down from 340h to 45h

dense tapir
#

shit

#

wouldn't the H100 be a ton faster?

oak osprey
#

a) yeah of course, b) if i had them, c) if you could get access to more than one at a time right now

dense tapir
#

yeah, only 1 at a time but how much faster would it be than 8 A100, or would it be?

oak osprey
#

my batch size is 64 right now with 64 gradient accumulations, so, BS-4096

#

that's a big boy training batch size

#

can't do that on a single H100, i don't think..

#

it has HBM memory but it's not a golden panacea, i'm pretty much nailing each a100 to the wall in terms of GPU util

#

should have about 30 checkpoints to check out tomorrow if i haven't totally wrecked everything

#

i'm using 8bit ADAM so there's a lot of oscillation in the loss value

dense tapir
#

Conflicting info is out there

#

The H100 is the successor to Nvidia's A100 GPUs, which have been at the foundation of modern large language model development efforts. According to Nvidia, the H100 is up to nine times faster for AI training and 30 times faster for inference than the A100.

oak osprey
#

according to nvidia

dense tapir
#

Tom's says H100 is 54% faster so wth?

oak osprey
#

training in what

#

some training pipelines are more or less python-heavy

#

the more python-heavy it is, the less performance difference

#

i'm CPU bound a lot of the time, i think

dense tapir
#

yeah, that would play a big factor for sure. Now if the entire dataset sat in GPU mem there would be no bottleneck

oak osprey
#

the traditional wisdom is to try and fill your GPU memory

#

batch size goes pretty high when you try to do that. like with sd2.1 768 on an a100 80G (one) it's BS=7 without gradient checkpointing or accumulation

#

and 8 will regularly OOM from CUDA

#

so the wisdom is now, use something like BS=4 and 16 gradient accumulation steps which is roughly approximal to BS=64

#

but this brings memory consumption way down

#

so my next step was to try and increase the BS again to bring memory up to the max

dense tapir
#

This is a good read and from it I get H100 is a bit more hype than reality, which Nvidia is doing right now with their consumer lovelace cards- https://silvertonconsulting.com/2022/09/22/nvidias-h100-vs-a100-the-good-and-bad-news/

Ray

Turns out only the current MLPerf v2.1 Data Center Inferencing results show both NVIDIA Hopper H100 and prior generation NVIDIA A100 GPUs on similar workloads so that we can compare performance. Ho…

oak osprey
#

but it goes so damn slow i don't know if i'm actually gaining anything

#

look at it this way, the cost of training goes up to $60,000 when i fill the memory, and $6,000 if i don't

dense tapir
#

damn, wth?

#

I wonder how to turn that off? which damn program is doing that?

#

I don't even have a radeon

oak osprey
#

loss=0.192

#

so General i'm discovering the trick to tuning 2.1 is to not use regularization data, it boosts the loss really high somehow

#

something about 2.1 or the sampler my class data is using, i guess, they interact very poorly

#

i need to investigate that sometime and try some hyper fast learning models and see what i can do to improve that situation 😦

#

the workaround is to simply have a few thousand training images, all varied and captioned

#

don't train for too long, or don't train the text encoder at all

#

or train text encoder for 1 epoch, and then, freeze it and keep going

#

i have now done ^ this

static tusk
#

Not a fan of images per minute metric, but at least one outlet covers SD benchmarks

oak osprey
#

man i need to help Tom get a good benchmark going for SD

#

or whoever that is

#

that chart is missing the XTX and the 4090

static tusk
#

yeah its comparing mid range only

oak osprey
#

so i'm getting 15s for 4 images generally, at 32 steps, on my A6000

#

my A100's do a lot better for generating images and i get more like 3s for 4 images

dense tapir
smoky oak
#

Unfortunately, the toms hardware info is really bad for comparisons

oak osprey
#

that chart is a "well, duh" moment and doesn't get into higher res issues etc yea

smoky oak
oak osprey
#

i'm doing 32bit, you

smoky oak
#

oh wait, 32 steps, nevermind

oak osprey
#

and at 32bit

smoky oak
oak osprey
#

full precision training

smoky oak
#

Alright, I was gonna say

oak osprey
#

😦

smoky oak
#

:>

oak osprey
#

it's Total Recall

smoky oak
#

:C

oak osprey
#

ARNOLD

smoky oak
#

Oh, did you see discord has big text now?

oak osprey
#

no because i wrote my own discord client

smoky oak
#

ARNOLD

oak osprey
#

that just looks weird here

smoky oak
#

can you SS it? lol

#

I wanna see what it looks like for you lol

oak osprey
smoky oak
#

oh wow lmfao

#

They have support for formatting 4 different sizes of text now

oak osprey
smoky oak
#

lmfaooo

#

how do you even send images on discord?

oak osprey
#

im kidding

#

i copied the discord text into Notepad

smoky oak
#

I was gonna say

#

I HAD A FEELING

oak osprey
#

those are just screenshots of Notepad

#

they're AI generated

smoky oak
#

Cause I was gonna say, you send images and view images all the tim elmao

oak osprey
#

DeepFloyd, yo

smoky oak
oak osprey
#

my friend calls ristas "dying seal laugh man" Sad

static tusk
#

etuu

oak osprey
#

one time i put a brick inside the water tank of the toilet to reduce its use

smoky oak
oak osprey
#

changed my dad's thermostat programming so he spent less on electricity

#

he NEVER found out who did it

smoky oak
#

when my toilet exploded (yes, you read that right) we got a new toilet with a super efficient water tank, and 2 flush sizes

#

it uses like .3 gallons on the shallow flush, and its great

#

I still can't believe my toilet exploded lol

oak osprey
#

well my family took me to therapy because they found out i'd been peeing in the top part

#

i was 8 and the doctor had me play nintendo 64 as he talked to me and he realised i was just trying to be efficient and use the water twice

#

i needed to offset the times i was sitting in the tub with the shower head running pretending i was in a hit submarine

#
travel illustration in the style of jon klassen with whitespace  
elegant fox with six eyes and 3 tails a lot of colour like a beautiful painting  
galaxychat anniversary 16 birthday rocket cake  
the allegory of the maiden and the three night goblins style of cranach the elder wide angle forest background landscape  highly
timeless logo for a architectural studio with the letters a and c minimalistic elegant white background with text in it black le
someone walking down a sidewalk with a cute laughing devil following them  
alluring stoner eyes yoda magician tophat  
ralph fiennes as lucifer angel of light long blonde hair golden armor baroque  
boho illustration of dahlias  
a small seedy little green goblin man that is secretly really friendly and devoted to his wizard lover knee height unreal engine
disney style chibi full body cute smiling unreal engine detailed ultra high definition 8k
sylvana windrunner with cyberpunk hair  v5  ar 23  
a single large cylindershaped bacteria with flagella swimming in a pipe full of water hyperdetailed realistic  
with a huge heteroideus red metal net cave in the middle of the road  
#

some of those are like, what

#

prompts from my training data set

#

what my model made for the goblin one KEKL

lethal burrow
#

Thanxx to the voters...u are appreciated ❤️

dense tapir
dense tapir
dense tapir
smoky oak
#

@dense tapirI have discovered a new favorite thing lol

#

Generating a nice image, then swapping the pos and neg to see its antithesis

#

Nice and pretty image

#

swapped pos and neg lol

sterile temple
#

is that how she really feels inside 😦

dense tapir
#

Damn, lol

#

Well, I have watched a lot of vids and the 4060/ti is DOA. Almost all retailers around the world say it is a flop and they will not be ordering more of this turd of a card.

#

No one is even coming in and asking about it so Microcenter will not be opening early for this one.

#

People can say whatever in the fuck they want to about the moore's law is dead channel but he has the connections and will go on record with things long before those things are done. He said the AMD 7600 could go as low as $269 and they will still show a nice profit so that is where it should be released at. Sure enough the MSRP is $269.

#

Is it a great card? No

smoky oak
#

$269 is a reasonable price I would say, especially compared to what NVIDIA is offering lol

dense tapir
#

It's issue is 8GB too

smoky oak
#

yeah

dense tapir
#

I think it was hardware unboxed who just tested the 4060 and even at 1080p you could see, on older games mind you, textures being uncompressed before your eyes.

#

the 3060/3060ti did not have that issue

#

so much for filthy Jensen's claim that the new 32mb buffer chip will help.

#

I cringed as I remember those days when 256MB cards were going bye bye to 2gb cards.

#

*1 gb so I grabbed a 2gb

#

@smoky oak

dense tapir
#

SD glitched with shoulder and the hair. Seems to do that a lot

#

moons, and round objects glitch when something is infront of it

#

Upped the ddim to 30 steps (so 31) from 20.

dense tapir
smoky oak
#

@dense tapirdid you see that SDXL has reached 50% training completion?

dense tapir
#

Nope

smoky oak
#

It looks amazing already

#

These are all 50% trained SDXL images, and my god do they look good

#

SDXL is gonna be something insane

#

A base model that is already generating as good, if not better than some of the best finetunes is insane

#

It also has proper brightness fixes (not noise offset, its better)

dense tapir
#

Matters not to me though until I have more memory, even then if I can't train it then I want nothing to do with it.

sterile temple
dense tapir
#

I am so close to my Avatar since he isn't real.

static tusk
#

https://youtu.be/Sp6K3qpVFO0 Adobe didnt take long to add generative tools in Photoshop with Firefly tech

Learn the basics of Generative Fill that is now integrated into the Beta version of Adobe Photoshop. This technology allows you to write simple text prompts to enhance your own images directly in Photoshop. It is truly magical!

Learn More: https://www.adobe.com/products/photoshop/generative-fill.html?sdid=Z662FMZ2&mv=social&mv2=paid-owned

Subs...

▶ Play video
dense tapir
#

Was in beta for a long while

#

Last Nov, or Dec I was introduced to it. Was very good but still needed tweaking on some of them.

#

Whoa, I am so damn close

smoky oak
#

@dense tapirCan I delete my pip cache to save space?

#

Wanna make sure I don't break anything lol

dense tapir
#

Yes

#

I do all the time

smoky oak
#

awesome, 14GB freed

#

thanks!

dense tapir
#

WOW

#

shit, lol

smoky oak
#

I have cleared like... 900GB off my PC so far

dense tapir
#

how many did it say it removed?

smoky oak
#

I am still going

#

it says there are 4,134 itmes in 1,015 files

dense tapir
#

fuck, lol

smoky oak
dense tapir
#

that is a laugh riot, no offense

smoky oak
#

Hey, I had no idea lmao

dense tapir
#

it's cool

smoky oak
#

finally got my 2TB NVME set up as well

dense tapir
#

all that happens is it goes back out on the net to regrab it if needed, and sometimes that is exactly what you want as yours is corrupted (happened to me once)

smoky oak
dense tapir
#

Nice, my 1tb 970 evo pro is very nice, and the old 512gb WD Black is all for Auto

smoky oak
#

my D drive has 240 GB of SD files lol

#

I will need to nuke my outputs soon lol

#

I am at 81,553 images

dense tapir
#

Well, I have over 100 models and most of that is 1.4/1.5 so that stayed on the old mechanical as I hardly touch them.

smoky oak
#

I have 102GB models apprently

#

oh, across everything lol

dense tapir
#

it gets insane

#

I absolutely love the roasting Nvidia is getting from 99% of the reviewers over this trash 4060.

#

There is one ass kisser reviewer I don't watch much and even he had neutral to say about it. For that ass kisser that was remarkable.

#

give an example. 960 vs 1060 6gb was 100 more MSRP and had a 72% generational improvement. 3gb version was 35%.

#

You saw the image I pinged you earlier showing 4060 vs 3060/3060ti.

#

another thing is my 1060 6b has a 192bit bus not 128. 128 was like for the 1050 or some such crap

#

When I was buying that is what sold me was the 192 as I was coming from a 7870.

smoky oak
#

@dense tapirYou know what is HILARIOUS?

#

The

#

GTX

#

550

#

has a 192bit bus

#

lmfaoooooo

dense tapir
#

I know

smoky oak
#

and the GTX 450 had a 128 bus

dense tapir
#

I really do not understand what in the hell Nvidia is doing. I really do not.

#

As I have said I can only think they are trying to burn us all then close down their gpu gamer division

smoky oak
#

I am pretty sure the 4060/ti are the first 60 branded teir GTX/RTX cards ever to have 128 bit

dense tapir
#

It is their worst, absolute worst, generational improvement.

smoky oak
#

But the hard thing is its not consistently the worst

#

once again, the 4080 and 4090 came out sooo strong, if a bit pricy on the 4080

#

its insane how far you fall from the 4080/4090

dense tapir
#

I got into a fight with some jackass about the 4080 because I said it was a fantastic card if not overly priced. He comes back and we had a lot of rounds. Idiot refused to listen when I said "on a technical standpoint the 4080 is fantastic, while on a price view point it sucks." He says "you can't have it both ways it either sucks or not". FFS!

#

I hate knuckle draggers like that.

sterile temple
#

was curious, can still see dell are ripping people off

smoky oak
#

As is ALWAYS said in Electronics, there is never a bad product, only a bad price

#

(unless its like blowing up lmao)

#

drop the price on the 4060ti 16GB to $350 and suddenly its not nearly as bad of a deal

its the price that makes it bad

#

cause in that case, its about 12% faster than the last gen with 2x the VRAM for $50 less. I would be hard pressed to say thats a bad deal, though it still would not be a particularly good one, but you get my point

dense tapir
smoky oak
#

it was just a spitball example

#

if you lower the price enough, the other logistics don't matter as much

dense tapir
#

If it had a 192bit bus, 16gb, 350 USD it would be no issues with it at all for most people.

#

even $399 for some

smoky oak
#

I find it funny saying that the 4090 is a good deal for what it is (i would say it is honestly, especially compared to the 3090), and then following it up by how everything else is just objectively bad for one reason or another

dense tapir
#

that bit bus hurts worse than the price. Oh, and the damn 4 lanes only

smoky oak
#

I thought it was only 8 lanes, not 4

dense tapir
#

I mean for gen 3

smoky oak
#

Yeah, on gen 3 its only 4 lanes of gen 4

dense tapir
#

yep

smoky oak
#

equivalent

dense tapir
#

which people at the 60 pricepoint the majority is on gen 3

smoky oak
#

yupppp

#

I liked LTT's super condescending review of the 4060/ti lmao

dense tapir
#

I loved it

smoky oak
#

I love when they get real snarky like that lol

dense tapir
#

Jensen is persona non grata right now and he better get a clue real fast.

#

even if the price were lower for the 4060 gen 3 at 4 lanes of gen 4 speed, 128 bit bus, that has to sting no matter what. Gamers gonna get that card and immediately return them.

#

they did to the 4070/ti

sterile temple
#

I can only find 4060s in laptops here

smoky oak
#

the 4070 to 4070ti gap is genuinely hysterical to me lol

dense tapir
#

I wonder if they are even going to attempt a 4050?

smoky oak
#

probably

dense tapir
#

4GB?

smoky oak
#

probably 6

dense tapir
#

64bit bus?

#

probably 6, and 92bit

smoky oak
#

I would guess 6 GB and 96 bit

dense tapir
#

Yeah, I meant 96

#

I am a bit pissed at the moment from one of the extension devs

smoky oak
#

@dense tapirCan I delete my Python Lib's?

#

specifically site packages

dense tapir
#

Python has a clean too but I forgot what it is.

smoky oak
#

I'll leave it for now, its only 4.8GB

dense tapir
#

Working for everyone, dev pushes an "upgrade" and we all update and it is broken so we can't use it. Yep, dev closed as duplicate of an already closed duplicate and said it is all our faults we didn't download something and make sure we are on the right Python.

sterile temple
#

I would leave site-packages, that's what it uses to run

dense tapir
#

Good, the dev quietly updated his fuck up

#

works now

#

I love how it is all our fault, closes the tickets, has an update, and I didn't do anything different yet the newest update works. smh

static tusk
#

which ext was that?

dense tapir
#

Dynamic prompts as I use it for my wildcards of all my previous prompts

#

So close 😦

storm badger
dense tapir
smoky oak
#

I have officially cleaned over 1TB of data

dense tapir
#

Sheesh

smoky oak
#

feels good haha

#

still goin

#

here is my WinDirStat

#

(one of my favorite apps BTW)

dense tapir
#

nope, this thing doesn't work right

#

Hopefully he fixes it 100%

#

These no longer work

earnest solar
#

Whompst is it that said SD can't furries?

sterile temple
#

Is that from Morrowind?

dense tapir
sterile temple
dense tapir
sterile temple
dense tapir
earnest solar
sterile temple
earnest solar
smoky oak
earnest solar
#

fair

#

I forgot

#

suspiciously wealthy furries are a thing.

smoky oak
#

Yup lol

#

I have yet to see another model that can do concepts half as good as some furry models

#

Hope this retrain of this LoRA works well

earnest solar
#

I'm just over here trying to appreciate how much I've improved over time.

smoky oak
#

I love SD specifically for that

earnest solar
#

from this

dense tapir
smoky oak
#

you can visibly see your improvements

earnest solar
#

to this

smoky oak
dense tapir
earnest solar
dense tapir
#

done

smoky oak
#

I really hope this LoRA finally works

#

REALLY gotta monitor my CUDA lol

dense tapir
#

You know on mine CUDA disappeared and now it is under 3d

earnest solar
#

christ

#

don't think I'll ever get into training models or rejigging loras

dense tapir
earnest solar
#

I'm not gonna be able to afford a 30xx series or equivalent or higher until at least next year.

dense tapir
#

At current prices, and my hatred of Jensen, I am 99.9% sure I am team AMD again and I don't care how slow it is.

smoky oak
#

So far, based on loss, this LORA doesn't seem to be working

dense tapir
#

what kind of loss?

smoky oak
#

1/3rd of the way through the second epoch and the loss is only 0.003 lower 😭

dense tapir
#

you save every 100, or less, steps, right?

smoky oak
#

getting close to half, and now its at 0.004 lower

smoky oak
#

this model is 2 epochs

dense tapir
#

epoch saving is too far out

earnest solar
#

nsfw af

smoky oak
#

ok, now its 0.005 lower

earnest solar
#

Have an adorable palate cleanser

smoky oak
#

so it is at least lowering

smoky oak
dense tapir
#

100 would be better

earnest solar
smoky oak
#

I will just have to adjust my regularization data

dense tapir
#

when shit fucks up you can go back very close to the point it was at its best

smoky oak
#

My values are probably too high and limiting it from lowering

dense tapir
smoky oak
dense tapir
#

Some reason these are all plastic doll like

smoky oak
#

its almost done

#

I just hope it shows promise

earnest solar
smoky oak
#

and the loss went up a bit, alright, definitely something wrong here

#

I am not sure if reg is gonna work when the base model is so damn bad at the subject

#

alright, its done

#

second epoch only went from 0.114 to 0.111

earnest solar
dense tapir
earnest solar
#

Now someone else post her legs

dense tapir
#

2.1 sucks for camera stuff

#

openai clip is renown for its camera work tokens

#

when they switched clips that all went bye bye

sterile temple
earnest solar
dense tapir
sterile temple
#

reminded me of this

dense tapir
#

yeah. Where is that from?

sterile temple
#

portal

dense tapir
#

THought so

oak osprey
dense tapir
oak osprey
cyan snow
wispy ether
dense tapir
#

@smoky oak btw, it appears the 750 is better in benchmarks than the new 7600.

wispy ether
#

People who use intel cards belong to jail

kind quartz
#

try play on it older game 😄 Thats the card that doesnt support dx9?

sterile temple