import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("fireballjitsu/body-perfection")
prompt = "UNICODE\u0000\u0000U\u0000H\u0000D\u0000,\u0000 \u00004\u0000k\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000,\u0000 \u0000a\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000H\u0000a\u0000n\u0000d\u0000s\u0000 \u0000+\u0000 \u0000F\u0000e\u0000e\u0000t\u0000 \u0000+\u0000 \u0000s\u0000k\u0000i\u0000n\u0000 \u0000v\u00001\u0000.\u00001\u0000:\u00000\u0000.\u00009\u0000>\u0000"
image = pipe(prompt).images[0]body-perfection
- Prompt
- UNICODEUHD, 4k, ultra detailed, cinematic, a photograph of <lora:Hands + Feet + skin v1.1:0.9>
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Tongyi-MAI/Z-Image-Turbo