How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("B0rghese/Urban_Mythology")

prompt = "UNICODE\u0000\u0000p\u0000i\u0000c\u0000h\u0000i\u0000a\u0000v\u0000o\u0000_\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000c\u0000l\u0000a\u0000s\u0000s\u0000i\u0000c\u0000a\u0000l\u0000 \u0000s\u0000c\u0000u\u0000l\u0000p\u0000t\u0000u\u0000r\u0000e\u0000,\u0000 \u0000m\u0000a\u0000r\u0000b\u0000l\u0000e\u0000 \u0000s\u0000t\u0000a\u0000t\u0000u\u0000e\u0000,\u0000 \u0000s\u0000c\u0000u\u0000l\u0000p\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000m\u0000a\u0000x\u0000i\u0000m\u0000a\u0000l\u0000i\u0000s\u0000t\u0000 \u0000g\u0000r\u0000a\u0000f\u0000f\u0000i\u0000t\u0000i\u0000,\u0000 \u0000g\u0000r\u0000a\u0000f\u0000f\u0000i\u0000t\u0000i\u0000 \u0000m\u0000u\u0000r\u0000a\u0000l\u0000,\u0000 \u0000s\u0000t\u0000r\u0000e\u0000e\u0000t\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000-\u0000i\u0000n\u0000f\u0000u\u0000s\u0000e\u0000d\u0000 \u0000m\u0000a\u0000r\u0000b\u0000l\u0000e\u0000,\u0000 \u0000g\u0000r\u0000a\u0000f\u0000f\u0000i\u0000t\u0000i\u0000 \u0000l\u0000a\u0000y\u0000e\u0000r\u0000i\u0000n\u0000g\u0000,\u0000 \u0000s\u0000a\u0000t\u0000u\u0000r\u0000a\u0000t\u0000e\u0000d\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000a\u0000i\u0000r\u0000b\u0000r\u0000u\u0000s\u0000h\u0000,\u0000 \u0000c\u0000o\u0000n\u0000t\u0000e\u0000m\u0000p\u0000o\u0000r\u0000a\u0000r\u0000y\u0000 \u0000c\u0000l\u0000a\u0000s\u0000s\u0000i\u0000c\u0000a\u0000l\u0000,\u0000 \u0000u\u0000r\u0000b\u0000a\u0000n\u0000 \u0000m\u0000u\u0000r\u0000a\u0000l\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000-\u0000u\u0000p\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000s\u0000n\u0000a\u0000k\u0000e\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000t\u0000h\u0000e\u0000m\u0000e\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000m\u0000e\u0000d\u0000u\u0000s\u0000a\u0000,\u0000 \u0000f\u0000a\u0000c\u0000e\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000m\u0000o\u0000n\u0000o\u0000c\u0000h\u0000r\u0000o\u0000m\u0000e\u0000"
image = pipe(prompt).images[0]

Urban_Mythology

Prompt
UNICODEpichiavo_style, classical sculpture, marble statue, sculptural portrait, maximalist graffiti, graffiti mural, street art, color-infused marble, graffiti layering, saturated colors, soft airbrush, contemporary classical, urban mural, close-up portrait, snake, blue theme, solo, medusa, face focus, monochrome

Trigger words

You should use pichiavo_style to trigger the image generation.

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