import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image-2.1-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("try1ereer/thickcum")
prompt = "cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera."
image = pipe(prompt).images[0]thicum
- Prompt
- cum shoots from a penis. cum on face. cum on tongue. cum in mouth. static camera.
Trigger words
You should use cum shoots from a penis cum on {face|tongue} cum in mouth {static|handheld} camera to trigger the image generation.
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