import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Arczisan/maomao3")
prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000m\u0000a\u0000o\u0000m\u0000a\u0000o\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000m\u0000a\u0000o\u0000m\u0000a\u0000o\u0000_\u0000p\u0000o\u0000n\u0000y\u0000x\u0000l\u0000_\u0000v\u00001\u0000:\u00001\u0000>\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000B\u0000R\u0000E\u0000A\u0000K\u0000"
image = pipe(prompt).images[0]MaoMao3
- Prompt
- UNICODE1girl, maomao, <lora:maomao_ponyxl_v1:1>, solo, green hair, long hair, blue eyes, BREAK
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xinsir/controlnet-union-sdxl-1.0