import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("profpeng/wanhjbj")
prompt = "A sexy woman is giving a man a blowjob and a handjob. The man is out of frame. She is in front of the man. She is giving him a blowjob, while simultaneously giving a handjob. She is performing fellatio while stroking the shaft of his penis with one hand."
image = pipe(prompt).images[0]YAML Metadata Error:"base_model" is not allowed to be empty
wanhjbj
- Prompt
- A sexy woman is giving a man a blowjob and a handjob. The man is out of frame. She is in front of the man. She is giving him a blowjob, while simultaneously giving a handjob. She is performing fellatio while stroking the shaft of his penis with one hand.
Trigger words
You should use A sexy woman is giving a man a blowjob and a handjob. The man is out of frame. She is in front of the man. She is giving him a blowjob to trigger the image generation.
You should use while simultaneously giving a handjob. She is performing fellatio while stroking the shaft of his penis with one hand. to trigger the image generation.
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