Facial Cumshot into Hair

For I2V probably 0.3 is best.
for T2V/else I think I still mostly like v0.1 over 0.2, both probably have their own things they do best.

v0.3 (I2V):

Slightly reduced dataset ("spray" not contained anymore wont work!),
Lower rank, higher resolution, different training.

I2V only. high/low roughly 1.0-1.5/0.3-1,
good start likely is 1.3/0.7 , 1.35/0.72 , 1.4/0.75 / 1.5/0.6 etc.

v0.2:

Slightly optimized dataset, rank 32 (lower filesize).

Stock Wan2.2 T2V strength 1/1 or 1.5-2/0.4-0.9 (e.g 1.6/0.42) as a starting point. Works for I2V. Try out.

v0.1:

Stock Wan2.2 T2V LoRA strength roughly for high/low 1.2/0.55 as a start point.

Works for I2V at maybe more like 1.4/0.6
(for quick test used samplers 0 to 4 and 4 to 20 steps wise).
Let me know if you find better settings...

Recommending more or equal to 8 steps, e.g. steps=20.

For more prompts select the low version and download the training data/images, which contains a text file with all prompts used for the dataset.

Example prompt:

cuminhair An erect penis gives her a cumshot and shoots cum into her hair.

cuminhair An erect penis gives her a cumshot and sprays cum into her hair.