Normal v0.2
I created this LoRA back in October 2024 and did not release it because it wouldn't come close to anything i expected. It is possible to create good images with it but it needs the right prompting and patience.
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Reverse v1
It seems to be pretty flexible and works with other character LoRAs, at least for me.
No trigger words, grab some captions from the showcase and edit it.
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Normal v0.1
My very first Concept/Pose LoRA
It's probably way too large for it's purpose, 64/64 - fp32
The training dataset was only 40 images for test purposes, so it's not very flexible.
Trigger words: "woman on top of a man" and "cowgirl position"
Description
FAQ
Comments (2)
This lora is my favorite sex lora so far for FLUX. It is consistent, and curses much less than almost every other one I have tried.
If you put a gun to my head and made me say bad things, I would suggest the op adding a few examples of skinny girls. It does asian and black women, but struggles to depict thin women.
What are you referring to with your 64/64? Dim and Alpha? I know you raised the alpha because the file size. Did you use Civit's trainer? I have been having trouble getting my datasets to work as lora in FLUX.
thank you sir! tbh i never thought this LoRA would turn out decent because i thought FLUX would never understand it, so i handpicked just 40 images to test it and there were to few thin women in it for the simple reason that i don't like them skinny :D
However i trained this LoRA with settings from a Tutorial on RunPod with 4x GPU in about 2h, i was unsure about dim/alpha and decided for 64 thinking it would be ~500MB but it was trained with fp32 so it doubles the size but of course the quality should be better but i don't think its necessary next time i will use bf16 again and will come up with a hopefully better dataset to create more flexibility. but in the meantime i'm working on a double penetration lora let's see how this will turn out.
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.