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
FAQ
Comments (5)
Is it possible to make man in place of woman here ? I would love to make fpov but straight for women enjoying male :3... this is something that does not exist (afaik) :finger_crossed: x)
This would probably work for that, I would give it a try and find out!
can you maybe make this but for afab? like a girl riding your face i mean LMFAO
OP can you share the prompt of this low angle view? I am trying to do i2v from Z-Image but cannot get to do it. Its always front view not bottom POV.
Thanks for the model! Unfortunately my post/review wasn't accepted, which seems to happen very often. Great model though
Details
Files
wan22_i2v_taker_pov_bj_low_noise.safetensors
Mirrors
30_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
TakerPOV_LOW.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
wan22_i2v_taker_pov_bj_low_noise.safetensors
TakerPOV_LOW.safetensors