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/blinkfacial")
prompt = "The video begins with a a close-up of a woman. Quick jumpcut to the same woman kneeling on the floor looking up with a open mouth, receiving a facial from a man's penis. The cum shoots all over her face. The man's hand holds his erect penis masturbating his penis and shooting the thick white cum directly onto her face, forehead, eyes, cheek and mouth. An explosion of thick white cum blasts her face, big cumshot stream. The thick white cum slowly drips down her face onto her body. Consistent woman throughout video. The woman has a shy demeanour is embarrassed when she smiles. 4k UHD. Extremely smooth movement, 120hz"
image = pipe(prompt).images[0]blinkfacial
- Prompt
- The video begins with a a close-up of a woman. Quick jumpcut to the same woman kneeling on the floor looking up with a open mouth, receiving a facial from a man's penis. The cum shoots all over her face. The man's hand holds his erect penis masturbating his penis and shooting the thick white cum directly onto her face, forehead, eyes, cheek and mouth. An explosion of thick white cum blasts her face, big cumshot stream. The thick white cum slowly drips down her face onto her body. Consistent woman throughout video. The woman has a shy demeanour is embarrassed when she smiles. 4k UHD. Extremely smooth movement, 120hz
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