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/blinkmischoking")
prompt = "-"
image = pipe(prompt).images[0]blinkmischoking
- Prompt
- -
Model description
Example Prompt
White Breasts Up The video starts with a shot of a woman. The video then jumpcuts to the same woman getting choked while having missionary sex. In this second scene, which is shot from the breasts up, looking away at the camera while the nude man’s left hand is firmly around her neck.
Crotch Up
The video starts with a shot of a woman. The video then jumpcuts to the same woman getting choked while having missionary sex. In this second scene, which is shot from the crotch up, looking away at the camera while the nude man’s left hand is firmly around her neck. as her thrusts her with his penis into her vagina.
Black
Breasts Up
The video starts with a shot of a woman. The video then jumpcuts to the same woman getting choked by the hand of a dark skinned man while having missionary sex. In this second scene, which is shot from the breasts up, looking away at the camera while the nude man’s left hand is firmly around her neck.
Crotch Up
The video starts with a shot of a woman. The video then jumpcuts to the same woman getting by the hand of a dark skinned man while having missionary sex. In this second scene, which is shot from the crotch up, looking away at the camera while the nude man’s left hand is firmly around her neck. as her thrusts her with his penis into her vagina.
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Wan-AI/Wan2.2-I2V-A14B