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/blinkcowgirl")
prompt = "The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex with a man in squatting cowgirl position she is leaning backwards as she bounces up and down aggressively. His erect penis is in her vagina. she looks at the camera throughout the video."
image = pipe(prompt).images[0]blinkcowgirl
- Prompt
- The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex with a man in squatting cowgirl position she is leaning backwards as she bounces up and down aggressively. His erect penis is in her vagina. she looks at the camera throughout the video.
Trigger words
You should use The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex with a man in squatting cowgirl position she is leaning backwards as she bounces up and down aggressively. His erect penis is in her vagina. she looks at the camera throughout the video. to trigger the image generation.
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