import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("B4100/jump-doggy")
prompt = "-"
image = pipe(prompt).images[0]blinkdoggy
- Prompt
- -
Model description
iGoon The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex in doggystyle position. She is lying on her stomach, facing forward, with her head turned slightly to the side as she reacts to the sensations of intercourse. Her facial expressions change throughout the sequence, showing moments of pleasure and exertion, including wide eyes, an open mouth, and clenched fists.
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