My very first LORA !
Initially
made mostly for learning, model is inspired by other LORA that directly
transition from an image to a ?????? scene. In this case an ???? scene
viewed at a side angle or directly ???????????. It can do a few
different poses:
- Man can be behind (doggy) or "straddling" over her with his legs spreads. I am not sure if straddling is the right term, see examples.
- The woman can have her head on a chair/sofa/bed or directly on the floor.
It currently isn't perfect for likeness and the woman with her head on the floor and man straddling over her will typically have trouble conserve likeness. "Head on chair" + "Man behind her" will conserve likeness better.
It
can conserve some elements of clothing especially on the head or upper
body (bra, tank top, glasses etc.). It can sometimes work for panties
down the thighs or skirts etc. but it is more hit and miss.
Additionally,
it is currently lacking in diversity and as a tendency to produce very
similar large ??? and similar ????????, I invite you to try controlling
that through more prompting and extra LORAs to change the shape. Some
stuff for me to think about a version 2.0 I guess.
Suggested config 0.8 High 1 Low strengths.
Here is a prompt with wild card you can use to test it out which summarizes the above:
The scene immediately transitions to a scene where the same woman is on all four {on a red chair|head against a bed|head on the floor} while a {black| } man is {roughly| } ??????? her ???. She is {completely ????? with her jeans and panties down her thighs|completely naked|naked from the waist down with her tanktop|naked with her black lingerie panties down her thighs}. The man is {behind|straddling above} her. {Back|Side} view.This was trained on real videos only (no anime) and I haven't really tested it for anime.
All
samples were generated with WanVideo nodes, lightx2v 10 steps (5/5) cfg
1 shift 6 dpm++_sde. Interpolation GIMM-VFI and the workflow can be
found in the files.
Use responsibly and for entertainment only.
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Same model published on other platforms. May have additional downloads or version variants.
