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👉 Deployment tutorial
V2
A pretty versatile version, does most of the sizes and shapes pretty easily, prompts can be relatively simple (as seen in the examples)
I suggest using seeds2 sampler with ddim_uniform scheduler and the 8 step Turbo LoRA.
Breasts, areoles and nipples on MiniMax H3, and control over them from the prompt. Base H3 renders a chest as an approximate shape and ignores anything you say about it. This gives you size, areole size and areole color as things you type.
Trigger is HMBreasts. Lead with it.
The four axes
These aren't tags. Write them as plain English inside the sentence about her chest, the same way the model learnt them.
Breast size - tiny · small · medium · large · very large
Shape - natural · perky · round · perfectly shaped · saggy · sagging · hanging · pressed together
Areole size - tiny · small · medium · large · very large Areole colourpale · ghost · brown · dark
Nipples - erect · hard · pierced
Spelling matters here. It learnt areoles, so write it that way.
The dataset has plenty of each, but as you all know, AI is non-deterministic so don't get mad if the results you're expecting doesn't appear right away.
How the clause reads
HMBreasts, large, natural breasts, medium sized brown areoles and erect nipples
HMBreasts, small, perky breasts, tiny sized pale areoles and hard nipples
HMBreasts, very large, round breasts, large sized ghost areoles and erect nipples
Mix the axes freely. They were trained independently, so tiny breasts with large sized dark areoles is a combination it can actually give you.
What it doesn't do
Genitals. That's HMPussy, and the two stack. This one owns the chest and nothing below it.
Faces, bodies or identity. It's a single-concept anatomy adapter, so put it under your character or scene LoRA.
One honest limitation
medium is the weakest of the five sizes. The training material clustered at the two ends, so tiny and small steer hard, large and very large steer hard, and the middle is softer than either. If medium drifts bigger or smaller than you wanted, that's why. A shape word will usually pull it back.
It's trained on stills, so it teaches H3 what a chest looks like. How it behaves through motion still comes from the base model.
Description
FAQ
Comments (8)
Why newer versions of H3 LoRAs are getting significantly smaller in size? Like... V1 of this LoRA was almost 300 in size, and now we get V2 which barely reaches 75 in size. And this isn't the only LoRA with such downsizing. Many recent LoRAs are getting smaller in size compared to what we had in the first half of August.
No need for larger versions for some LoRAs, minimax trains just as well
@HearmemanAI do you think this is because h3 is just so flexible by default that it only needs a little nudge? And in general, how much potential do you think is there still for better loras? It's gotten better already but comparing it to wan loras there is a rawness that it has been missing so far. Especially insertions and dicks still aren't that accurate, even on the better loras so far. My example would be the insertion loras by localoptima for wan, those looked really good for me and were my go-tos, insertion, dicks and all. I don't know too much about the technical details of training but minimax has this issue of being distilled, is that holding it back that much? Or am I just impatient. I don't quite remember how long it took for wan 2.2 to get really good loras. I mean there was only one lora that gave me good female anatomy and that took a while as well so maybe I should just wait and pray
@dailydoseofaiart I think Ref2V with anatomy references and the LoRAs for motion is the solution
Does this include adding breast veins? (the healthy milf kind not sickly old woman kind)
Works great on ref2va, thanks for that!
I noticed that all your loras started working better on seeds_2+beta configuration
Try seeds2 and ddim_uniform, thank me later
Is it not working on pruned H3? cant manage to alter the breast size