import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Arczisan/tattoo-world")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000T\u0000a\u0000t\u0000t\u0000o\u0000o\u0000W\u0000o\u0000r\u0000l\u0000d\u0000:\u00001\u0000>\u0000 \u0000(\u0000T\u0000a\u0000t\u0000t\u0000o\u0000o\u0000W\u0000o\u0000r\u0000l\u0000d\u0000:\u00000\u0000.\u00009\u0000)\u0000 \u0000 \u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000s\u0000h\u0000c\u0000h\u0000,\u0000(\u00001\u0000w\u0000o\u0000m\u0000a\u0000n\u0000:\u00001\u0000.\u00004\u0000)\u0000 \u0000(\u0000b\u0000l\u0000u\u0000e\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000 \u0000:\u00001\u0000.\u00003\u0000)\u0000 \u0000,\u0000s\u0000o\u0000l\u0000o\u0000,\u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000,\u0000a\u0000t\u0000t\u0000r\u0000a\u0000c\u0000t\u0000i\u0000v\u0000e\u0000,\u0000c\u0000u\u0000t\u0000e\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000o\u0000r\u0000e\u0000_\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000s\u0000:\u0000.\u00006\u0000>\u0000 \u0000(\u0000b\u0000e\u0000a\u0000c\u0000h\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000:\u00001\u0000.\u00005\u0000)\u0000 \u0000"
image = pipe(prompt).images[0]Tattoo World
- Prompt
- UNICODE<lora:TattooWorld:1> (TattooWorld:0.9) masterpiece, best quality,shch,(1woman:1.4) (blue bikini :1.3) ,solo,beautiful,attractive,cute <lora:more_details:.6> (beach background:1.5)
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runwayml/stable-diffusion-v1-5