import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("leonel4rd/Jitostyleart")
prompt = "UNICODE\u0000\u0000E\u0000v\u0000i\u0000l\u0000 \u0000s\u0000c\u0000a\u0000r\u0000y\u0000 \u0000G\u0000a\u0000r\u0000f\u0000i\u0000e\u0000l\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000a\u0000t\u0000 \u0000s\u0000t\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000l\u0000a\u0000s\u0000a\u0000g\u0000n\u0000a\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000e\u0000x\u0000t\u0000 \u0000\"\u0000L\u0000A\u0000S\u0000A\u0000G\u0000N\u0000A\u0000\"\u0000 \u0000i\u0000n\u0000 \u0000m\u0000o\u0000n\u0000o\u0000c\u0000h\u0000r\u0000o\u0000m\u0000e\u0000 \u0000j\u0000i\u0000t\u0000o\u0000s\u0000t\u0000y\u0000l\u0000e\u0000.\u0000 \u0000 \u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000J\u0000u\u0000n\u0000j\u0000i\u0000_\u0000I\u0000t\u0000o\u0000_\u0000S\u0000t\u0000y\u0000l\u0000e\u0000_\u0000F\u00001\u0000D\u0000:\u00001\u0000.\u00003\u0000>\u0000"
image = pipe(prompt).images[0]Jitostyleart
- Prompt
- UNICODEEvil scary Garfield the cat staring at lasagna with the text "LASAGNA" in monochrome jitostyle. <lora:Junji_Ito_Style_F1D:1.3>
Trigger words
You should use jitostyle to trigger the image generation.
You should use monochrome to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for leonel4rd/Jitostyleart
Base model
black-forest-labs/FLUX.1-dev