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/fractal")
prompt = "UNICODE\u0000\u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000 \u0000f\u0000r\u0000a\u0000c\u0000t\u0000a\u0000l\u0000 \u0000f\u0000r\u0000o\u0000g\u0000 \u0000m\u0000e\u0000a\u0000h\u0000o\u0000p\u0000h\u0000o\u0000n\u0000t\u0000r\u0000o\u0000n\u0000 \u0000o\u0000f\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000 \u0000r\u0000a\u0000l\u0000-\u0000f\u0000r\u0000c\u0000t\u0000l\u0000g\u0000m\u0000t\u0000r\u0000y\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000r\u0000a\u0000l\u0000-\u0000f\u0000r\u0000c\u0000t\u0000l\u0000g\u0000m\u0000t\u0000r\u0000y\u0000-\u0000s\u0000d\u00001\u00005\u0000:\u00000\u0000.\u00002\u00005\u0000>\u0000"
image = pipe(prompt).images[0]Fractal Geometry
- Prompt
- UNICODEcolorful fractal frog meahophontron of colorful ral-frctlgmtry <lora:ral-frctlgmtry-sd15:0.25>
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runwayml/stable-diffusion-v1-5