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/Iridescent-opal")
prompt = "UNICODE\u0000\u0000I\u0000r\u0000i\u0000d\u0000e\u0000s\u0000c\u0000e\u0000n\u0000t\u0000 \u0000o\u0000p\u0000a\u0000l\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000m\u0000a\u0000c\u0000r\u0000o\u0000,\u0000 \u0000c\u0000o\u0000n\u0000c\u0000e\u0000p\u0000t\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000(\u0000f\u0000r\u0000a\u0000c\u0000t\u0000a\u0000l\u0000:\u00000\u0000.\u00002\u0000)\u0000,\u0000 \u0000f\u0000u\u0000l\u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000n\u0000o\u0000i\u0000r\u0000,\u0000 \u0000m\u0000u\u0000f\u0000f\u0000l\u0000e\u0000d\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000s\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u00004\u0000k\u0000.\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000a\u0000d\u0000d\u0000-\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000-\u0000x\u0000l\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]Iridescent opal
- Prompt
- UNICODEIridescent opal style, macro, concept art, masterpiece, (fractal:0.2), fulcolor, dark noir, muffled light, realistic, soft shadows, best quality, hyper detailed, 4k. <lora:add-detail-xl:1>
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runwayml/stable-diffusion-v1-5