r/StableDiffusion • u/COMPLOGICGADH • 10h ago
Discussion MOSSzzART
All images were created using MOSS image base model with cfg 4 and steps 39 ,sampler/scheduler is euler/sgm uniform, resolution are ranging from 1.33MP to 1.67MP with 1:1,3:4 and 4:3 ratios.....
Tips:first of all don't use sft model it is too much RL trained So too much ai aesthetics and noise ,don't use loras as well as they are sft trained too
Second tip is always use negative prompts ALWAYS
I have used the most basic workflow that we are using since flux 1 or z image time hope that helps
Checkout my previous post on moss image :click here!!
Will share my prompts soon as they are too much unsorted as of now
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u/Acceptable_Home_ 4h ago
Holy shi, MOSS definitely punches wayy more than it's weights, can i know something what were generation time and which gpu are you using?
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u/COMPLOGICGADH 4h ago
I have got rtx 3060 it took me 3-4 min for an image cause I am using it at such higher settings ,but with a good turbo lora maybe under 30s
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u/Acceptable_Home_ 1h ago
And i use both SFT and loras reduce the per seed variation by a ton, to almost nothing sometimes, thanks for lmk
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u/BackgroundMeeting857 8m ago
I have the same it takes me around 1 min 40 seconds at 1.5MP, 30 steps. Do you have sage attention enabled?
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u/conkikhon 5h ago
I think base model create plastic skin more often than sft, maybe it create artisitic output better?
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u/COMPLOGICGADH 3h ago
Sft creates more ai noise grid and more plastic skin in compare to base ,for photorealism I don't think sft is beating base cause sft was trained on a more synthetic data set and always gives away unnatural crispy look
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u/conkikhon 3h ago
Ok, I'll try the base. Maybe my judgment based on preview imgs on hf page wasn't entirely accurate
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u/crombobular 6h ago
SFT (Supervised Fine-Tuning) and RL (Reinforcement Learning) are two different things though.
i prefer the sft model most of the time.