#218 xl
8186 messages · Page 9 of 9 (latest)
oo good idea
ive been using euler cg ++
hmm didnt work with euler a
but good suggestion!
you have to force vrped and turn ztsnr on
manually
in forge u can only do that with this extension https://github.com/DenOfEquity/forgeFlux_dualPrompt
I'll eventually release a 2.0 but idk yet about the details, still want to try some things for the vae
could just use SwarmUI
or that
or use reforge 
why does my reforge not have this tab?
what fork is that
are you on forge or reforge make up your mind
reforge

oke ill try this
lmao
how is the training thing going imi 
my try with pop5 it works
Not good, can get rid of noise and texture but things stay blurry. I'm doing one last thing and then just merging the existing eq models, that was easier
@edgy talon
latent space dreams did the main conversion and i just tuned it more
why illu tho
cause noob vpred has issues with it's text encoder
also it's base is 0.1 so smaller dataset
you can fix that
not true
initially i tried training on a noob merge
noob has e621 and danbooru
i don't know the dataset of il 2.0 but it probably has more than both given it's 20 million
i did add some furry stuff in this version and i will add more in the 2nd version
noob is way more than 20 mil
it's the ENTIRE danbooru and e621 of 2024 august~ and screencaps from anime, and whatever else curated datasets euge got from chinese sites or whatever
by retraining from scratch on illustrious
cause you can't undo clip at a high lr
anzhc trained another clip version for eps 1.1 and it improved things but it's only compatible with that version
yeah i assume its pretty similar then
i just didn't get good results when training on noob overall
maybe there's a checkpoint amidst their test repos that converges better
i tried 24r2, v29 etc. wouldn't get the noise right
testing more timestep samplers 
neither of them are perfect
v29 seems to be thebest in one angle but hard to say
pick your poison type thing
how did you stabilize the noise on your merge 🧐
i think it's the best noob merge overall
dont think I did, it's just rng
run the same prompt 10 times get 10 different result
but this xyz looked good so I kept it as a gotcha 
good to ragebait noob server nerds
lol
i trained with log snr uniform and it worked well
can play around with this but it's not gonna fix fundamental issues
snr windowed is like uniform but a little stronger
i would try uniform first then windowed if it's not working somehow
it clips the snr
only tried the adaptive ones
its not good though, adaptive focuses on hardest and noisiest is hardest so all the bins are at 1k
I'll try the other 3 next but lots of settings to try for each so
finetuned seele pop3 (imi's merge)
https://civitai.com/models/2125852
why this name
18k finetune on noob eps https://civitai.com/models/2105269/mai-menriallinstruct
beszari
new noob model
- Hugging Face:https://huggingface.co/ChenkinNoob/ChenkinNoob-XL-V0.1
- Civitai : https://civitai.com/models/2167995
Yeah unfortunately is eps
zimg noob when
z image team seems to want to finetune an anime version themselves
its not that great unfortunatley
THIS will probably be the new SDXL very hyped
gonna merge it later ish
new knowledge isnt related to the mode lbeing eps or vpred
Full 1.0 expected to release by feb 2026 or so
imi is merging not training off of it
oh ya i know, but from my testing its not trained enough on the new knowledge yet
Oh yeah Raehoshi 8 has quite a lot of knowledge of gacha characters
Could be worth merging too

I should remove watermarks right
pretty easy now with detectors and qwen edit or similar
its either that or
adding watermark/signature to the detected ones
idk whats better
1st is more work but
probably better overall
idk
yeah
you could weigh the watermark tag higher so clip and unet are more aware
car mix 

I decided to do it properly
so gonna edit off any watermark that's not a stylistic addition to the image
keeping other text otherwise since they're non uniform other than being text
but watermarks per artist are usually too obtrusive and static
especially the big stamp ones or the ones overlaid on subjects
alsao tried chenkins 0.1 model and its so shit
hopefully 0.2 is better but idk
as it is I don't even want to try it for merging
it will just fuck up my model
also moved to comfyui
just need to make a custom node for prompt syntax like scheduling and alternating
didn't find any node that did this
@floral mulch if you wanna merge it
character list https://rentry.org/xbbfsdua
Author: Raelina
Model Link: Raehoshi illust XL
Changelog:
[2025.12.10] Initial release. Character list supports up to v8 and VPred v1.
Introduction
The Raehoshi Character List is now officially available.
This document includes every character I personally trained based on the dataset used during...
has some stuff i want
this got an update
random finetune from silvermoong a week ago
https://civitai.com/models/2430193
kinda stuck with merging tbh, cant make the rf merges look sharp enough
doing this most of the time
- sell goon merges
- gazillion dollars
- train new RF finetune on 100 H100s
are ya gonna experiment with 0.3 ?
feel like I'm being gaslit
Ichecked the images on civit/hf
and they are blurry
but the text says "it's very sharp now"
but I'll try to gen with it and see how it goes
gonna finetune one of the merges when my sd sacripts is stable enough
rightmost looks nice
blurry and some artifacts 
pop3 and the last one look better 

i agree
does this image not have metadata or is it just not reading any
there's no metadata
swarm has a really robust grid script but the image rendering is a bit goofy
it's mostly aimed at making an html grid tho
that you can visualize in your browser in detail
thats useful too
I'll make a custom node eventually
just need to think about how it should work
consensus on trying to merge RF ?
with what
if you only merge attention it's easier I guess
did you get around to this ? because I'm pretty much at the same conclusion
the merges look too noisy and non as stable as vpred models
trainer is almost in a trainable state, also got like 32k images by now not counting paintings yet 

got schizo ideas for the future 
-
allow data-related concerns to run on their most appropriate device or execution path, overlap where safe, and avoid holding training hostage to full upfront preprocessing completion
-
move from a fully prebuilt static manifest to an incrementally maintained sample registry with explicit readiness/cache state
-
preserve true on-the-fly text-conditioning semantics while reducing GPU idle time through asynchronous TE prefetching.
-
what does an epoch mean if the data that exists, the data that is assigned to training structure, and the data that is actually ready are all different sets?
-
The current per-image caching approach is simple and works well for small to medium datasets, but it is likely to hit major scaling limits once dataset size moves into the 100k–1M+ image range.
-
learn a sparse feature representation of TE hidden states, then perturb that sparse feature space instead of raw token rows.
can't be worse than blob ideas
tried to make a vibe transfer for anima

idk if that will help images look not like this
feels like anima is closer to sd 1.5 than sdxl is




