#✨|sdxl

1 messages · Page 184 of 1

vast galleon
vast galleon
vital ermine
vast galleon
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i had to try it 🙂

silk smelt
smoky shard
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Creature

brave inlet
eager prairie
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I just found this model called SSD-1B, it's amazing. Super fast, I loaded it for the first time so already some time spent there, and then even at 24 steps it did the whole image (combined with loading model) in 30 seconds

timid garnet
vast galleon
vast galleon
vast galleon
vital ermine
vast galleon
vital ermine
vital ermine
vital ermine
vast galleon
sharp scarab
shy kelp
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A1111 + SDXL

clever cave
eager prairie
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I use realvisxl but I do like how this one doesn’t always resort to like photograph quality

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Plus this is super fast still at like 30 seconds total, including upscaling

clever cave
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Try dreamshaper or the base lightning as they can do basically all styles. Lightning models usually take like 2-3seconds(no upscaling).

vast galleon
shy kelp
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A1111 + SDXL

shy kelp
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'Alien Species' LoRA (A1111 + SDXL)

steady grove
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new forge release will load sdxl as nf4 and supposedly makes it sd15 fast

vital ermine
lusty wolf
vast galleon
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Not expected, but I'll take it.

vast galleon
vital ermine
shy kelp
shy kelp
vital ermine
shy kelp
vital ermine
vital ermine
vital ermine
smoky shard
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random prompting sometimes does stuff

vital ermine
eager prairie
vast galleon
vital ermine
vast galleon
vital ermine
vast galleon
vital ermine
vast galleon
vast galleon
smoky shard
lusty wolf
shy kelp
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SDXL + A1111

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really nice

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which checkpoint model do you use?

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A special treated mix + some finetune. This is cleaned, removed random noise and many more

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ah okay yeah
I really love making sci fi with these models

shy kelp
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yeah its true it can be hard to make it work

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Finally it is working out of the box, i am enjoying it several weeks now 🙂

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This is the 3rd checkpoint i used this method to clean, denoise and detangle. Can't wait until some more tools for Flux are available, then i try it there as well.

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I like how contrasty it is

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Up to now, Flux lacks a lot scifi imho

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yeah Flux has a few issues with subjects

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The tech is insane, it just need more variety

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Until then, i like my SDXL 😄

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yeah I am still on SDXL

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Sure, it is the SDXL channel. I assume Flux images go to SD3, hehe (No offence SAI)

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lol

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yeah the SD3 channel seems to be Flux now

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and sadly the cascade channel is gone

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Cascade was is good too, but next to a Flux BASE model, a lot other finetunes look like ancient tech.

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flux is a next level yeah

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Funny thing, clarity comes with a price, random stuff like a Bolognese Sauce doesn't look right anymore. Too repetitive because random noise is removed.

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Or the Pizza,lol

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oh yeah that sauce is weird

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As long as it does other stuff without open ends or vanishing wires, i can live with that.

quasi badge
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American style house in red color with white background

sharp comet
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A piece of paper is burning, the burn marks are in the shape of a trumpet

vast galleon
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just needs a drummer and they're set.

vast galleon
vast galleon
loud glacier
vital ermine
raven elk
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hi guys!! how do you avoid these kinds of artifacts?

shy kelp
meager canopy
raven elk
meager canopy
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Then you need to use a mask to only change the main subject

shy kelp
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I'm not affiliated BTW

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I'm just a fan

raven elk
shy kelp
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also your image is 4k
you can just about get to this resolution using latent upscaling
if you combine all the tricks (SAG/SEG/PAG/FreeU/Res-adapter/Gradual Deepshrink or Hi-diffusion)
along with rescaling and tonemapping to allow very high CFG

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its a lot trickier than tiled upscale but its an option

meager canopy
shy kelp
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sadly the ComfyUI version of Hi-diffusion isn't quite as good as the Diffusers one

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it still helps though

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apparently full Hi-diffusion would require some modifications to comfy to work

meager canopy
# raven elk

I ran it through my upscaler, with and without a background mask

raven elk
meager canopy
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It uses controlnet and multiple latent upscales to recreate the image first.

raven elk
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latent to ksampler?

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or latent to usdu directly?

meager canopy
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to ksampler

raven elk
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i didnt realize upscaling is this complicated..

meager canopy
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There are many ways to do it, but avoiding the unwanted hallucinations is the tricky part.

meager canopy
raven elk
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this is looking really nice..

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do i have to use tile control net?

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@meager canopy

meager canopy
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Up to you, I use multiple

raven elk
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it removed the bg

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i masked the subject but it completely removed the bg

raven elk
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how do you actually use the latent upscale?

meager canopy
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The whole workflow is on my Patreon.

silk smelt
vast galleon
mighty zealot
vital ermine
heady kraken
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armageddon training camp

vital ermine
rugged crow
ebon ether
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A DSLR photo of a portrait of Groot head, 3d asset

raven elk
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hi guys Im having this error while trying to load flux cnet.. any ideas?

ebon ether
raven elk
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where can you find this controlnet 5000.bin?

shy kelp
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.bin is weights

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there's a format that looks like .bin and .param as an alternative to .pth

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.ckpt or .safetensors are more common for comfy

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.bin/.param is what I used to use for NCNN in chaiNNer

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.safetensors files are safer, would recommend them where possible

exotic umbra
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Hello! can anybody tell me why openpose isn't working at all here? i am using xinsir/controlnet-union-sdxl-1.0

peak dove
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My SDXL w/f with Face Detailer is giving this error (no controlnets, all models are sdxl) - error = mat1 and mat2 shapes cannot be multiplied (77x1280 and 2048x640)

fringe quartz
timid garnet
rugged crow
eager prairie
shy kelp
timid hearth
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Generate anime animation expression package

peak dove
shy kelp
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Updating a checkpoint soon.
A1111 + SDXL

shy kelp
desert lion
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Create a brush cutter monster

shy kelp
shy kelp
shy kelp
shy kelp
smoky shard
shy kelp
shy kelp
shy kelp
steady grove
shy kelp
steady grove
glass forge
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Dots are tiny balls.

lusty wolf
lusty wolf
glass forge
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Joyoive. I too prefer Joyoive over Sony.

vast galleon
vast galleon
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trying to get a man to ride a giraffe... at this point it's comical

vast galleon
vast galleon
shy kelp
vast galleon
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So I think Mangled Merge Matrix is ready. 3850 total loras. With this new one I used 3 different block combinations depending on the types of the loras being merged. 1 for concepts, another for styles, and a 3rd for text, although I'm not sure how much it benefitted from that one.

shy kelp
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probably the most loras merged of any checkpoint

vast galleon
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I'm interested to see how far I can take it. I'm surprised it's held up this far into it. Although going from strictly 2D for the Magic version to strictly realism was tricky. But I learned some new techniques in the process. I'm putting more focus into building up the clip for the next one.

shy kelp
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Something like that will occur

shy kelp
shy kelp
olive wasp
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🙂

shy kelp
serene fog
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#dream

shy kelp
vast galleon
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from "grids, lines and a circle" to "a circle with grid lines in it"

shy kelp
vast galleon
shy kelp
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So, why merging 4k LoRAs?

vast galleon
# shy kelp So, why merging 4k LoRAs?

Just to see if I could and to learn and experiment with different merging methods. This version I explored block merging more and used Mateo's prompt injection for block references.

https://github.com/cubiq/prompt_injection/discussions/1

GitHub

I'm currently experimenting with SDXL and the nodes are dedicated to SDXL but this technique also works with SD1.5 and I'll release more nodes for that too but I believe SDXL has a stronger...

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I wanted to see if merging into specific blocks could improve merge quality.

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The lora merging process is automatic with code that utilizes the comfy API. So it's not such a tedious process.

shy kelp
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merge quality.. do you mean prompt following quality or visual quality? Versatility?

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All, sure.. but you can't have the cake and eat it all.

vast galleon
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Both 🙂 Although I'm learning more about the importance of the Clip I don't think I have that part perfected just yet. Gonna tweak and test some things for the next one.

vast galleon
glass forge
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Lol Mangled.

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Wow you merged everything...

vast galleon
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Merge it all! That's my moto. 😂

glass forge
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once i merged about 20 SD15 models

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I think it improved the overall output

vast galleon
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It most likely did. I'm excited about seeing what comes with Flux merges or any improvements that will come down the line to the entire merging process. I'm sticking with working with SDXL for now though until I decide a good time for a video card upgrade.

shy kelp
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you guys should try training the checkpoint its way more rewarding and some of the outputs in training crease you up lol

vast galleon
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I have with SD2.1. Found the whole process of building a database and labeling each image to be pretty tedious. Not to mention the time and money spent on the failures. I did enjoy making a loha with 71 different planes. But OMG the process of putting it all together ...

https://civitai.com/models/117088/plane-helper

Introducing Plane Helper! A multi-concept LyCORIS (trained as a LoHa) for v2.1. Plane Helper is trained on around 2300 images of 71 different plane...

shy kelp
vast galleon
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Maybe once I get a 24gb 9080 I might look into training again. I'm sure by then you will need 10 A100's for whatever latest model is out.

shy kelp
vast galleon
vast galleon
shy kelp
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i have 2 RTX 4090s

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duel flow watercooled rig

vast galleon
shy kelp
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I GET ASKED A LOT ABOUT WHAT SYSTEM SET UP I HAVE. SO I THOUGHT I WOULD PUT TOGETHER A VIDEO OF THE PHOTOS I TOOK WHILST I BUILT IT. ITS A TOTAL BEAST OF A DUEL WATERCOOLED RIG. THERE IS A VIDEO OF THE FULLY BUILT UNIT AT THE END OF THIS VIDEO TO.

I HOPE THIS ANSWERS YOUR QUESTIONS ON WHAT I RUN FOR USING THE AI TOOLS YOU WERE ASKING ABOUT...

▶ Play video
vast galleon
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3090's i mean. Didn't get much sleep last night.

shy kelp
timid escarp
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444

timid garnet
shy kelp
smoky shard
lusty wolf
vast galleon
vast galleon
copper kraken
shy kelp
copper kraken
shy kelp
shy kelp
vast galleon
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Looks great! I'm, giving it a dl now

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First 2 look really nice

shy kelp
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From the description to the trainingset prompts, later the captioning and scoring, down to the example prompts and images, all AI.

vast galleon
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what do you use to caption?

shy kelp
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lama 3

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llava llama 3

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or the like

vast galleon
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utilizing an api to run images through?

shy kelp
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comfyui

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and then api to ollama

vast galleon
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Interesting. I haven't done much with llms other than chatgpt. as far as captioning. Is what your doing possible on 8gb vram?

shy kelp
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short description up to..

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long ones, just ask for it

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i have 24gb vram, i don't look very often how much is used.

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Ollama nodes are cool

vast galleon
shy kelp
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lava lama 3

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not sure about where all 'L's belong

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😄

vast galleon
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ok cool. cause I got buzz to use but just hate captioning manually lol

shy kelp
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You have to play with it a lot. sometimes if you ask for keywords seperated by comma you get 40 images fine, but then it starts writing essays.

vast galleon
shy kelp
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  • alien lora
vast galleon
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I had to compare. Exaworld is on the left, Mangled Merge on the right. Both look really good. I think yours captures the essence of hollow knight a little better.

shy kelp
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You are too kind. Yours has more details and color, mine is a bit faded because of the depth. Whatever one prefer, it is different.

shy kelp
vast galleon
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These are from a quick merge of Exaworld + MM Matrix 50/50 merge, messing around.

shy kelp
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Those look very cool

shy kelp
vast galleon
shy kelp
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I really miss the 'multi image' feature from my other checkpoint.

vast galleon
lusty wolf
lusty wolf
vast galleon
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Got it working. Thanks @shy kelp!

shy kelp
vast galleon
shy kelp
vast galleon
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working on finding a good style to train a flux lora with.

shy kelp
glass forge
rain aspen
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My stomach and thighs are so thick, I can't keep my clothes open

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So to illustrate what I meant about Pro and Dev, here is an image by Pro (note that 2 out of 4 times it fails to produce any text at all), and the images are all in these lines

steady grove
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member for 6 months just to troll so weak sauce like that? disappointing

copper kraken
shy kelp
shy kelp
cinder agate
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how do i test a sdlx model using only promts? only safe for work pls.

shy kelp
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Prompt themes you want and if you like the output, the model is good. If you don't like the output, search harder or modify the model.

shy kelp
shy kelp
limber kindle
copper kraken
copper kraken
lament sinew
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that one almost looks like a civil defense poster

lament sinew
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trying to inpaint/outpaint in fooocus and I can't get rid of the phantom fingers

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the way I see it, my setup is a great tool for manual artists if you wanted a piece to be 90% done and you can photoshop or draw the rest to your liking

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my files are fcced though 😂 I'm trying to get everything in the same folder and it's impossible

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I think I lost the logs on some images

copper kraken
copper kraken
shy kelp
shy kelp
shy kelp
shy kelp
shy kelp
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Everyone on Flux? No one posting SDXL?

glass forge
shy kelp
tight tulip
shy kelp
shy kelp
vital ermine
sick wigeon
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1 girl

copper kraken
vital ermine
copper kraken
vital ermine
vital ermine
lament sinew
vital ermine
lament sinew
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Trying to think of some lore where these airships make sense

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It's like if some propulsion method was accidentally discovered in the 1800s

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So this is maybe like a WW2 era aircraft carrier but with advanced levitation

tight tulip
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like a starship u boat

shy kelp
shy kelp
meager canopy
shy kelp
serene fog
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#dream logo for a page named Animal rescuers Algeria

half sundial
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#dream

shy kelp
shy kelp
lusty wolf
sharp scarab
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Recent research/experiment done in TouchDesigner and SD: https://www.youtube.com/shorts/VyZFzKAuqsk (more info in video's description)

After a deeply introspective and emotional journey, I fine-tuned SDXL using old family album pictures of my childhood [60], a delicate process that brought my younger self into dialogue with the present, an experience that turned out to be far more impactful than I had anticipated.

What's particularly interesting about the resulting visuals, is...

▶ Play video
smoky shard
copper kraken
shy kelp
copper kraken
sharp vector
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gril

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cat

final notch
vital ermine
shy kelp
violet radish
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a mountain have many trees

lusty wolf
shy kelp
copper kraken
lament sinew
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I don't understand what difference the guidance scale slider really makes in Fooocus, but turning it up seems to have blown out the pictures with very high contrast.

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she looks like she's about to tell you something really bad lmfaooo

lament sinew
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"anon... that was my dad at that party last night."

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you don't remember???

shy kelp
pliant flint
#

tes 1

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test 1

glass forge
#

Testing.

copper kraken
vital ermine
copper kraken
copper kraken
vital ermine
lament sinew
copper kraken
vital ermine
copper kraken
vital ermine
shy kelp
#

A1111 + SDXL

shy kelp
shy kelp
lusty wolf
rare condor
tender umbra
#

A peaceful, quaint village nestled in a valley, with simple houses surrounded by lush greenery. In the foreground, a teenage girl with a bright smile and hopeful eyes stands in traditional clothing, looking out over the village.

shy kelp
shy kelp
lament sinew
#

looks like a real edited artwork

slender coral
tight tulip
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cant see very well but try first one set noise to enable and maybe try different int nodes

copper kraken
gloomy lark
torpid stag
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hi guys, does anybody know exact model/LORAS/settings that stablediffusionweb.com uses?

for some reason their outputs are so much. better than anything i try.

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@copper kraken im dead serious. i don't really know how to use AI,. i just setup InvokeAI and downloaded SDXL turbo which is supposdely what they advertise to use, but my results are fucking garbage.

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and when i prompt it on their website the results are incredible

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i use same steps count and CFG scale, not sure what else i should do to replicate the results from there.

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same seed too.

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if someone could help me get close to that, would be super helpful

copper kraken
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you might want to try SD3 2B Medium

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it's the newest model

torpid stag
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look at the one generated on their website vs the one generated locally, lol

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prompt for spongebob battle royal game logo

copper kraken
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or a custom workflow

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in either case, i'm sure they won't share it

torpid stag
copper kraken
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look up comfyui

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and diffusers

torpid stag
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looking it up rn

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btw does it matter if i run it on my M1 mac?

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or does that only affect speed

copper kraken
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no idea don't have a mac

lament sinew
copper kraken
lament sinew
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wow that's actually beautiful and solemn

torpid stag
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IDK why but on my local the model insists of giving spongebob 2 mouths lol

lament sinew
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the second one is a half decent rendering of Spongebob, idk what's happening behind him though

torpid stag
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for now its enoguh for me, i just want to replicate these outputs locally

lament sinew
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what are you running, Fooocus?

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I only really have hands on experience with Fooocus to a degree but that is SDXL based

lament sinew
torpid stag
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but completely different results

lament sinew
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the double spongebob on the first one could be a resolution issue

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other than that check your styles

torpid stag
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This is what i can see going out to their API from their UI

This is my local settings

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This is their output (with the missing eye) (it's not perfect ofc but u can clearly see it's higher quality, this is what i want to achieve for now)

And this i get with the same prompt and the above (looks the same) settings (will send in few mins once it stops generating)

shy kelp
lament sinew
#

that's actually amazing

shy kelp
lament sinew
#

you're now in my top 5 favorite ai artists

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it also stylistically takes advantage of the glitches

shy kelp
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Oh welp.. it is just the model and some bugs in A1111 which lead to such images. I am only an explorer

shy kelp
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The whole style was design around these

lament sinew
#

genius

torpid stag
#

i dont understand why my local model insists of giving two mouths...

lament sinew
#

@torpid stag man I think your prompt leaves the program in full control of the scene and arrangement since you didn't specify anything like that; try being a little more specific.

shy kelp
torpid stag
lament sinew
#

"perfect" but different every time

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with the same seed??

copper kraken
lament sinew
#

I'll admit I'm really new to this stuff man; I've just been a little obsessed with SDXL the last few days but take what I say with a grain of salt

torpid stag
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i just tested out different ones between their UI and local to see if anythings diff

lament sinew
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the 3 unique ones at the bottom are the best by far

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imo

torpid stag
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it's just that im trying to replicate their results locally

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even their worst result is better than what i get locally

copper kraken
torpid stag
copper kraken
#

turbo is 512x512

shy kelp
#

Try 512x512 as Clownshark recommended. Upscaling is at a later stage.

copper kraken
torpid stag
#

btw does it matter what "Scheduler" i use?

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it's set to euler

shy kelp
#

Let it there and experiment later with them. Lock seed and change it from image to image and you will see, which work good and which work better 🙂

copper kraken
shy kelp
torpid stag
#

no double mouth but low q

shy kelp
#

it is 512x512 and a turbo model.. i am not familiar with them, maybe experiment now with steps and the sampler.

copper kraken
torpid stag
#

is turbo model just "faster" then the base SDXL?

shy kelp
#

try 10 steps

torpid stag
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or is it supposed to yield better results

shy kelp
#

Turbo is just for speed, not quality

torpid stag
torpid stag
shy kelp
#

try 10 steps 🙂

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When i was trying them, i remember 4-8 step will suffice for SDXL turbo

torpid stag
#

i am trying now 10 steps

copper kraken
lament sinew
# copper kraken

this feels like a super cinematic version of Streets of Rogue if you turned on the random environments mod

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SoR is a procedurally generated game that loads one map at a time but it's broken up into different styles

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if you put on that mod it mixes them up

shy kelp
torpid stag
#

with 10 steps...

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where can i find the normal sdxl model (none turbo)? i would like to try it

copper kraken
#

any reason you really want to use turbo

torpid stag
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no

copper kraken
torpid stag
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simply thats what i saw written on their website and i wanna replicate it

shy kelp
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Not normal, but i use it now for several days

torpid stag
shy kelp
torpid stag
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i mean

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the UI website thing that generated the good results

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is called

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and i just setup invoke.ai locally to run the models via local UI

shy kelp
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Ah, you don't generate locally?

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Then you have to stick with their model. I never used any online service.

torpid stag
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because i initially used their service to test, i liked it, then i tried to gen locally with same params from their UI and the results are way different locally

shy kelp
copper kraken
lament sinew
copper kraken
shy kelp
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I would forget the idea of pure replication anyway and start prompting what is in your mind. 2 days, and you are heavily addicted 😄

copper kraken
lament sinew
#

lmaoo

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no

shy kelp
lament sinew
#

honestly, I can see AI art getting more accurate and less prone to glitches but I don't think you will ever be able to get exactly the result you want with no skill. There are so many options and things to configure that I think it will always take a degree of skill to generate the right picture unless the computer can read your mind.

shy kelp
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Then examine 2 different, maybe a third checkpoint and examine the difference. In style, quality and prompt following.

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From taht point, you will know what you want and need. Don't run from checkpoint to checkpoint every half an hour. 'Learn' at least one checkpoint.

lament sinew
#

but I will say I like a lot of AI art styles because of how imperfect, random or glitched they are, and when people use models like Flux to get indistinguishable results I think that is bad for humanity because people will get lazy and use tools like that in place of real photography or exploration, or it could be used as propaganda. I'm not extremely biased either way but you need to be open minded to the pros and cons of this technology.

lament sinew
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of course I'm a damn idiot and moving files around I lost the log for that whole project so I don't have all that info anymore

shy kelp
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That is alreadyy too much for me 🙂 I just play around the last 2 years with this tech, hardly watched any video.

lament sinew
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it was a really easy tutorial and because it's just fooocus I think anyone could wrap their head around it

shy kelp
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I am pleased, if the image 'looks' good.

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And enough to explore, 20sec later i need another one. 😄

shy kelp
vital ermine
vital ermine
copper kraken
molten gull
#

all with flux

shy kelp
shy kelp
lament sinew
#

he looks like an automaton

copper kraken
shy kelp
strong anvil
#

H

lusty wolf
lusty wolf
smoky shard
#

IP-Adapter adapts. A very powerful tool to push an SDXL models to a certain output honestly.

shy kelp
shy kelp
shy kelp
shy kelp
#

For users who still only use SDXL models, I've Created a SDXL checkpoint that runs on the Turbo base. Its hyper trained to a Maximum 100%. The adherence isnt that of flux but its very very good and the output image is the best youll see from any SDXL checkpoint. See what you think of the images posted in the gallery. Cheers https://tensor.art/models/751494452436224082/TWIN-TURBO-Dream-Diffusion-By-DICE-v1 https://www.shakker.ai/modelinfo/3ed729873f034271bef568cfc92176aa?from=personal_page

1.8K runs, 33 stars, 2 downloads. TWIN TURBO Dream Diffusion Collection that brings total realism to life.I've had a lot of requests on how to use and add th...

shy kelp
shy kelp
lament sinew
#

@ me if you know how Fooocus metadata works

shy kelp
shy kelp
hybrid tusk
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#✨️ Mickey mouse

shy kelp
nova oxide
sage lichen
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#bot

slim wren
toxic wasp
shy kelp
vast galleon
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Working on a latent upscale workflow to squeeze the most out of Mangled Merge Lighting for a Flux dataset. These are cherry picked. Still some kinks to work out.

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For instance ....

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Might need controlnet.

shy kelp
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its working well in terms of avoiding errors

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would be great if you could get the CFG-burn a bit lower

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Scheduled_CFGGuider from Inspire pack and sampler_tonemap_rescalecfg.py from ComfyUI_experiments can help a lot

lament sinew
worthy orbit
shy kelp
shy kelp
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Really?..

worthy orbit
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You say you didn't like instagram

shy kelp
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Let me check..

worthy orbit
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I wasn't sharing instagram, just the artwork

shy kelp
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Yes, i did

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Where does that link land on?

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Instagram

worthy orbit
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The second on Twitter

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it's ok, nevermind, got it

shy kelp
vast galleon
shy kelp
shy kelp
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those nodes may well mess lightning up

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lightning is very delicate

vast galleon
shy kelp
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when I want speed

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I go for 15 steps, beta scheduler, unipc sampler

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with regular sdxl

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its nearly into turbo range

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but with base sdxl models

vast galleon
shy kelp
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on the tonemap node if you put the rescale CFG to 0.5 that's usually good

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but the tonemap level you gotta test lots of different %

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its different every time

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scheduled CFG guider is from inspire pack I think

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https://github.com/ltdrdata/ComfyUI-Inspire-Pack

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there's a perp-neg version, if you are a perp-neg user

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rescale CFG at 0.3-0.4 is also ok

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you might not like it, I have different taste to most users lol

worthy orbit
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he is a friend of mine, I didn't even know about that site

peak dove
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Processing A1111 photos (via metadata) in ComfyUI+LoRAs

faint shore
vast galleon
# shy kelp scheduled CFG guider is from inspire pack I think

I was confused earlier because I had the inspire pack but I wasn't seeing the sampler nodes ... I'm still not. I've updated comfy and the inspire pack. then uninstalled the inspire pack and reinstalled it. None of those worked for me. I also don't see any conflictions for it in the manager. Dunno what the issue is. shrug

vast galleon
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It's a messy workflow, but I think I finally got it dialed in. It's using a 3 pass NNLatent Upscale process.

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I brought the denoiser on that last ksampler down to .4 I think .5 was a bit much.

vast galleon
vast galleon
shy kelp
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They are already here..

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They hide..

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But they are ready..

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They will search you..

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They will find you..

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And then it is all up to you.

shy kelp
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its better to avoid using the manager and just fetch lines of python yourself with wget and git pull really

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so you could just rip out the code from here:
https://github.com/ltdrdata/ComfyUI-Inspire-Pack/blob/main/inspire/sampler_nodes.py

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stick it in a node yourself

polar ravine
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Guys I tried various style dora and they're much more consistent wtf

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From various authors too

shy kelp
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dora good ye

polar ravine
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Yet there are so few of them

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Spread the verb

final notch
vast galleon
shy kelp
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tone mapping, custom sigmas, thresholding, NNlatentupscale, noise injection, PAG, freeU, scheduled CFG guider

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such an amazing workflow

shy kelp
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I think this is the coolest comfy workflow I have seen so far

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beta scheduler and deis sampler are both great choices too

shy kelp
nova oxide
shy kelp
shy kelp
vast galleon
# shy kelp congrats 😄

Thanks! It's still not perfect yet, but I think it has to do with the fact that it's a lightning model. Gonna test with vanilla mangled merge tonight.

shy kelp
lusty wolf
# shy kelp

Mine does not do the nice headgears... 'Steampunk' How do you call for that?

lusty wolf
shy kelp
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No, this is SDXL channel^^

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Until there is a oneclicksolution i don't play with Flux.

lusty wolf
shy kelp
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It is just the model.

lusty wolf
shy kelp
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selfmade

lusty wolf
shy kelp
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Still some minor errors here, will redo the LoRA

shy kelp
vast galleon
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It turns out a lot of the issues I was seeing with weird artifacts were due to it being a lightning model I was working with. I made some small tweaks to run it with a vanilla model and added a canny controlnet. Results are much better and details are controlled by the denoise on the last Ksampler. I embedded the workflow into this jpg. Not sure if discord keeps that in if you download it. Gonna test it now.

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OK cool. the embedding works if anyone wants to try the workflow out.

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It only upscales by 2x, but it's enough for what I'm trying to do with it. If you want to upscale more, you will have to find the right % formula for the 3 ksamplers. The last one should upscale as little as possible to stay close to the original.

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works well with higher denoise too. This is at .9.

lusty wolf
lament sinew
# shy kelp

these look like they could have been from the first Assassin's Creed

vast galleon
vast galleon
near yew
vast galleon
mortal marsh
ancient sphinx
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(Masterpiece), (Best quality), (Ultra HD), (Super detail), (Whole body :1.2), 1 girl, Chibi, cute, smile, flowers, outdoors, holding the camera, sitting on the roof looking out into the distance, with mountains in the background, amber, warm yellow, sunset, artistic sense, Quadratic style, white clothes,

shy kelp
# mortal marsh

I really love your project
its nice to see diffusion projects that are physically larger

shy kelp
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this is an interesting lora

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could be good to apply at different strengths

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on some images

torpid stag
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what is the most efficient way to prevent SDXL from generating any text?

ive been working on prompting for logos but a lot of the time SDXL keeps generating texts/typeography on the logo no matter what my negative prompt is

shy kelp
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perpneg is by far the most important thing

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perpneg makes your negative really powerful

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also perturbed attention guidance or smoothed energy guidance helps with prompt following

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also there was a paper showing that scheduling negatives massively boosts their effects

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so the negative is not running for all of the sigmas

torpid stag
faint shore
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You could be using a model trained with watermarked images. Try another.

near yew
vast galleon
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Updated latent upscale workflow. Took out the first 2 passes altogether, cleaned things up and added grouped processes and replaced canny with sketch.

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Workflow is embedded in the image above.

vast galleon
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Only issue now is how to keep denoise above 50 without adding weird things like extra buttons. Anyone got any ideas?

vast galleon
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I think IPAdapter might be the answer.

vast galleon
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ipadapter tiled seems to help. here's the first test. the left is without and the right is with. Both at .6 denoise.

smoky shard
smoky shard
vast galleon
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Added controlnet tile as the initial upscale with latent now being a second beauty pass. Also added clipvision ipadapter tiled to the 2nd pass.

shy kelp
vast galleon
lusty wolf
vast galleon
shy kelp
vast galleon
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I'm not trying to upres the 2nd pass too much. I'm still testing but my theory is that the smaller it is, the less can go awry, but it still gives extra details. I'm gonna try 1 at 1.02 and another at 1.25 and we'll take a look at the diff. I will leave all seeds the same.

half flame
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make t-shirt

vast galleon
vast galleon
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.53 is high too. I don't really like the underarms on either of them.

shy kelp
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that NNLatentUpscale can be tricky

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I personally do VAE decode, do stuff in pixel space, then VAE encode

vast galleon
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yeah. it needs to be small. that's why I added the controlnet tile upscale.

shy kelp
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TBH if it gave some extra details at 1.02 without side effects then that's great

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cos this could be dropped into nearly any workflow that has multiple passes

vast galleon
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It does. I turned down the strength on the sketch and depth. For some reason the higher strength was adding dots in black areas.

shy kelp
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yeah control net is tricky its very strong

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sometimes its a case of only running it for a short while too

vast galleon
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gonna test...

shy kelp
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if you are looking to do complex workflows, upping the step counts helps a lot

vast galleon
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on the 2nd pass upscale ksampler though?

shy kelp
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you can get away with less steps on later passes

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compared to the first pass

vast galleon
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not much of a difference between 20 and 12 steps. nice time saver!

shy kelp
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ah yeah that's almost identical

vast galleon
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I think that's as clean as I'm gonna get it tonight. The updated workflow is embedded.

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Pass 1 on the left with controlnet tiles, Pass 2 on the right with latent upscale.

shy kelp
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it does look better on the right yeah

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looks very similar to pixel space noise injection

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which is good as the latent method is faster than pixel space

vast galleon
torpid stag
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hi guys, i learned recently a bit about finetuning and i have some questions about how dynamic it is.

im building an app where one could input their biz/startup/game idea and go through steps where they will be generating context about it (objective, target audience, biz model, etc)

every time you generate something, it is used as context for next time you interact with an AI

rn im also working on a step to generate a logo for that brand.

what im doing currently is im dumping the brand context into GPT and asking it to create a prompt for SDXL, which i then insert with some other prompt keywords to make sure it looks like a proper logo

the issue is GPT's prompts are kind of trash.

i was wondering how well fine tuning would work if i:

  • Gotten a bunch of pairs of brand context dump -> ideal logo image
  • Trained a SDXL model on it

i.e would it work well if the "prompt" is a huge context about a brand, and not rather some small trigger keyword?

or is that not how it works?

tight tulip
shy kelp
shy kelp
shy kelp
vast galleon
shy kelp
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you could look into Omost

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its an approach that is very under-rated

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the way Omost works is you prompt an LLM

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and the LLM goes and makes masks to set up a Diffusers workflow

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I've been exploring SDXL latent space and its really just not a smart model

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the more tools you use to examine SDXL the more you realise

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bottles are strongly associated with lavender

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if you boost apples it boosts bananas

vast galleon
shy kelp
# vast galleon

I don't wanna criticise but its possible you had the dynamic thresholding setting in a rly sub optimal setting
I believe its meant to be more like half cosine up than half cosine down

vast galleon
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The guidance part of the workflow is currently only going into the initial generation and isn't part of the upscale process, but I'm gonna test that too. I didn't want things getting too crazy on the latent upscale pass. But I'm also testing having a second clip for that pass and seeing how having a different positive prompt changes things.

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For instance, the first pass is on the left and the latent upscale on the right with the prompt changing to "a professional photograph" .52 denoise.

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Pass 1, Half cosine up on the left, Half cosine down on the right.

shy kelp
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in your test I preferred cosine down

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but on comfy discord someone posted comparisons and I preferred cosine up

vast galleon
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I think it depends on the model

shy kelp
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my own images were better with cosine up mostly but they do get more fragile

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cos they spend early steps with low CFG

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so the form might be off

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yeah its probably completely different for ret flow vs diffusion

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and then different again for distilled vs non distilled

vast galleon
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yeah, with the lightning model I was setting it to power up

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leaving the clip blank on the 2nd pass still makes women for some reason... biased model I bet. Also interesting when I changed the prompt to an anime illustration

shy kelp
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funnily enough I spent most of the last few hours fighting a lightning model

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was very tough

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they have quite a narrow band of settings that they are okay with

vast galleon
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they are so finicky. especially with guidance tools

shy kelp
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yeah

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this is partly why I was unhappy with flux

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its gonna be similar issues, maybe not as bad, but similar

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less image diversity also

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at least for their base model Hello World, it worked well

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its a hybrid of turbo and LCM

vast galleon
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it seems like the user friendly approach though. they want to make it accessible to newbs who don't want to fiddle around with cfg settings.

shy kelp
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yeah frankly that's better for the market

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not good for the experimenters though

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the average response to flux has been really positive, so they judged the market well

vast galleon
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my only issue with flux is that so many people are training loras on it that I can't find a point in training any myself.