How to use agmjd/takisakikurumi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mr-J-369/HyperSpire-V5-SD1.5-qnn2.28", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("agmjd/takisakikurumi") prompt = "UNICODE\u0000\u0000k\u0000u\u0000r\u0000u\u0000m\u0000i\u0000t\u0000o\u0000k\u0000i\u0000s\u0000a\u0000k\u0000i\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000k\u0000u\u0000r\u0000u\u0000m\u0000i\u0000 \u0000t\u0000o\u0000k\u0000i\u0000s\u0000a\u0000k\u0000i\u0000 \u0000s\u00002\u0000-\u0000l\u0000o\u0000r\u0000a\u0000-\u0000n\u0000o\u0000c\u0000h\u0000e\u0000k\u0000a\u0000i\u0000s\u0000e\u0000r\u0000:\u00001\u0000>\u0000,\u0000" image = pipe(prompt).images[0]
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