import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v1-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/fukudasan")
prompt = "UNICODE\u0000\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00006\u0000_\u0000u\u0000p\u0000,\u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000c\u0000l\u0000a\u0000s\u0000s\u0000r\u0000o\u0000o\u0000m\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000"
image = pipe(prompt).images[0]fukudasan
- Prompt
- UNICODEscore_9,score_8_up,score_7_up,score_6_up,best quality,masterpiece, background is classroom, 1girl, solo,
Trigger words
You should use fukudasan to trigger the image generation.
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John6666/prefect-pony-xl-v1-sdxl