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.

Facial Cumshot into Hair

prompts.zip

cuh400epoch146lowstock-t2vbase.safetensors

  into Hair

v0.1 LOW

v0.3 I2V HIGH

v0.3 I2V LOW

v0.2 HIGH

v0.2-LOW

v0.1 HIGH

Files with SHA256: 8582f74dffa896e9442f6436a2829fb4c275ec15ea839fdc4e2ba5e266304544