import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("hgutjh/CB3")
prompt = "UNICODE\u0000\u0000c\u0000l\u0000o\u0000s\u0000e\u0000 \u0000u\u0000p\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000s\u0000k\u0000s\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000r\u0000u\u0000g\u0000g\u0000e\u0000d\u0000 \u0000s\u0000p\u0000a\u0000c\u0000e\u0000 \u0000t\u0000r\u0000u\u0000c\u0000k\u0000e\u0000r\u0000,\u0000 \u0000i\u0000n\u0000s\u0000i\u0000d\u0000e\u0000 \u0000i\u0000n\u0000d\u0000u\u0000s\u0000t\u0000r\u0000i\u0000a\u0000l\u0000 \u0000s\u0000p\u0000a\u0000c\u0000e\u0000s\u0000h\u0000i\u0000p\u0000,\u0000 \u0000f\u0000u\u0000t\u0000u\u0000r\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000s\u0000c\u0000i\u0000e\u0000n\u0000c\u0000e\u0000 \u0000f\u0000i\u0000c\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000a\u0000c\u0000t\u0000i\u0000o\u0000n\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000,\u0000 \u0000d\u0000i\u0000g\u0000i\u0000t\u0000a\u0000l\u0000 \u0000c\u0000o\u0000n\u0000c\u0000e\u0000p\u0000t\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000s\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000i\u0000c\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000,\u0000 \u0000e\u0000n\u0000v\u0000i\u0000r\u0000o\u0000n\u0000m\u0000e\u0000n\u0000t\u0000a\u0000l\u0000 \u0000c\u0000h\u0000a\u0000r\u0000a\u0000c\u0000t\u0000e\u0000r\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000l\u0000o\u0000c\u0000o\u0000n\u0000_\u0000c\u0000a\u0000m\u0000r\u0000e\u0000n\u0000_\u0000v\u00001\u0000_\u0000f\u0000r\u0000o\u0000m\u0000_\u0000v\u00001\u0000_\u00006\u00004\u0000_\u00003\u00002\u0000:\u00001\u0000.\u00002\u00005\u0000>\u0000"
image = pipe(prompt).images[0]CB3
- Prompt
- UNICODEclose up photo of sks woman, rugged space trucker, inside industrial spaceship, futuristic science fiction, action scene, digital concept art, realistic, intricate detailed textures, filmic, cinematic, environmental character portrait, <lora:locon_camren_v1_from_v1_64_32:1.25>
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stabilityai/stable-diffusion-xl-base-1.0