import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Haruka041/uncut")
prompt = "Photograph of a young, muscular, Caucasian man standing nude in a dimly lit bedroom. The man is positioned at eye-level, facing the camera with a slight smile. He has short, light brown hair and a well-defined, athletic physique with visible abs and pectoral muscles. His uncircumcised penis is prominently visible. The room features a wooden ceiling with exposed beams, a bed with a brown blanket, and a cluttered nightstand. A colorful stained glass window is visible in the background. The lighting is soft, creating subtle shadows. The camera angle is at eye-level. The man appears to be in his mid-20s. The photograph is a medium shot, capturing the man from mid-thigh to head. "
image = pipe(prompt).images[0]Uncut
- Prompt
- Photograph of a young, muscular, Caucasian man standing nude in a dimly lit bedroom. The man is positioned at eye-level, facing the camera with a slight smile. He has short, light brown hair and a well-defined, athletic physique with visible abs and pectoral muscles. His uncircumcised penis is prominently visible. The room features a wooden ceiling with exposed beams, a bed with a brown blanket, and a cluttered nightstand. A colorful stained glass window is visible in the background. The lighting is soft, creating subtle shadows. The camera angle is at eye-level. The man appears to be in his mid-20s. The photograph is a medium shot, capturing the man from mid-thigh to head.
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