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/vixon")
prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000_\u0000s\u0000l\u0000i\u0000d\u0000e\u0000r\u0000_\u0000v\u00004\u0000:\u00001\u0000>\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000 \u0000v\u00001\u0000x\u00000\u0000n\u0000s\u0000t\u0000y\u0000l\u00003\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000v\u00001\u0000x\u00000\u0000n\u0000s\u0000t\u0000y\u0000l\u00003\u0000:\u00001\u0000>\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000,\u0000 \u0000t\u0000a\u0000t\u0000t\u0000o\u0000o\u0000s\u0000"
image = pipe(prompt).images[0]Vixon Style
- Prompt
- UNICODE<lora:detail_slider_v4:1> 1girl, v1x0nstyl3 <lora:v1x0nstyl3:1> glasses, tattoos
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runwayml/stable-diffusion-v1-5