import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("profpeng/reversedeepthroat")
prompt = "-"
image = pipe(prompt).images[0]reversedeepthroat
- Prompt
- -
Model description
Example Prompt: The woman tilts her head back. A man with a large erect penis and testicles appears from the top, his body is only partly visible, view of his erect penis and his testicles and his hips, oral insertion, reverse deepthroat, fellatio, no hands, closeup, balls deep, head back, drool, saliva, man with huge penis from behind her.
Keywords for video generation:
"reverse deepthroat" + optional combinations of "oral insertion","deep throat fuck", "dynamic throat fuck", "male appears", "in and out", "throatbulge".
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Wan-AI/Wan2.2-I2V-A14B