Wan 2.2:
This was trained using ai-toolkit on Wan 2.2 I2V 14B using 20 81-frame 16-fps videos.
Wan 2.1:
This model was trained using diffusion-pipe on the Wan I2V 14B 720P checkpoint using ~30 2-second videos from various anal sex positions at 24fps. I used an Nvidia A6000.
I'm aware that it's the general convention to train on the T2V Wan checkpoint, but I get horrendous results (with both T2V and I2V) when I do so with this dataset. My theory is Wan isn't as aware of this type of action as other ones, but I'm not really sure. I just know that I've tried a bunch of times to train this model in T2V to no avail while I've had success training on T2V with other datasets.
Description
Details
Downloads
932
Platform
CivitAI
Platform Status
Available
Created
1/12/2026
Updated
2/11/2026
Deleted
-
Trigger Words:
taker POV fellatio
Files
wan22_i2v_taker_pov_bj_high_noise.safetensors
Mirrors
Huggingface (2 mirrors)
CivitAI (1 mirrors)