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/bavarian-dirndl")
prompt = "UNICODE\u0000\u0000(\u0000(\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000e\u0000d\u0000g\u0000Q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000)\u0000)\u0000,\u0000(\u0000s\u0000m\u0000i\u0000l\u0000e\u0000)\u0000,\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000s\u0000o\u0000l\u0000o\u0000,\u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000p\u0000o\u0000s\u0000i\u0000n\u0000g\u0000,\u0000"
image = pipe(prompt).images[0]Bavarian Dirndl
),(smile),1girl,solo,standing,posing,_dirndl,%20a%20woman%20in%20traditional%20bavarian%20dress%20poses.jpeg)
- Prompt
- UNICODE((masterpiece,best quality,edgQuality)),(smile),1girl,solo,standing,posing,
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runwayml/stable-diffusion-v1-5