Wan 2.2 update. The preview images were all created using the lightning loras. The workflow can be downloaded in the "training images" download.
The main part of the prompt is:
A woman is straddling a man and having sex with him. She bounces up and down on top of the manDepending on the angle of the camera, you can either directly see the genitals or not. You can add this to your prompt to try to get them to show up:
You can see the woman bouncing up and down on the man's erect penis.You can prompt for different angles:
{The view is from the front and at a 45 degree angle|The view is from the side|The view is from behind at a 45 degree angle|The view is POV}By default, the woman's knees will probably be pointed down, so if you want more of a squatting position with her knees up, you can prompt for that this way:
She is squatting with her knees raisedDescription
FAQ
Comments (9)
With T2V and the new 2.2 version, I'm generally getting the faces cropped out. Testing with both the fp8 and fp16 models with lightx2.
Make sure you're describing the face in the prompt. It also likely works better if the image is taller than it is wide, especially for POV. Or at least not too wide.
@dtwr434 Even with being pretty specific it's not performing with much reliablity. I'll keep experimenting. (Using an updated version of the workflow in the models section of my profile.)
@boobkake22 You can try adding "from a low angle" to the prompt as well, and it may help point the camera in the right direction to capture the face.
Also, just to make sure, you're using the highnoise lora to set up the movement/composition, right? The way I trained the low noise lora, it won't work on its own and requires the high noise one to be used along with it.
@dtwr434 Yeah, definitely using the right combo. Again, I'll give it another shot soon and see if I can get better results.
haven't tried it yet but are the movements in the examples supposed to look that slow?
Movements might be faster/better without using lightning loras, I'm not sure. It just takes too long without them.
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wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
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wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2-t2v-high-s-cg1.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0 (1).safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
COWGIRL2_WAN22_HIGH.safetensors
wan2.2_t2v_highnoise_cowgirl_v1.0.safetensors
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Same model published on other platforms. May have additional downloads or version variants.