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/F2")
prompt = "UNICODE\u0000\u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000,\u0000 \u0000s\u0000i\u0000n\u0000g\u0000l\u0000e\u0000 \u0000m\u0000e\u0000c\u0000h\u0000a\u0000n\u0000i\u0000c\u0000a\u0000l\u0000 \u0000a\u0000r\u0000m\u0000,\u0000 \u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000d\u0000r\u0000i\u0000v\u0000e\u0000s\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000e\u0000s\u0000e\u0000r\u0000t\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000F\u0000u\u0000r\u0000i\u0000o\u0000s\u0000a\u00001\u00000\u00002\u00004\u0000:\u00000\u0000.\u00009\u0000>\u0000 \u0000.\u0000 \u00003\u00005\u0000m\u0000m\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000,\u0000 \u00004\u0000k\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000"
image = pipe(prompt).images[0]F2
- Prompt
- UNICODEcinematic photo a woman with short hair , single mechanical arm, smiles and drives in the desert <lora:Furiosa1024:0.9> . 35mm photograph, film, bokeh, professional, 4k, highly detailed
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stabilityai/stable-diffusion-xl-base-1.0