Instructions to use k3b4bb/traditional-japanese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use k3b4bb/traditional-japanese with Diffusers:
pip install -U diffusers transformers accelerate
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("k3b4bb/traditional-japanese") prompt = "UNICODE\u0000\u0000A\u0000_\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000T\u0000h\u0000i\u0000s\u0000 \u0000i\u0000s\u0000 \u0000a\u0000n\u0000 \u0000i\u0000n\u0000t\u0000e\u0000r\u0000i\u0000o\u0000r\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000 \u0000o\u0000f\u0000 \u0000a\u0000n\u0000 \u0000o\u0000r\u0000i\u0000e\u0000n\u0000t\u0000a\u0000l\u0000 \u0000-\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000d\u0000 \u0000s\u0000p\u0000a\u0000c\u0000e\u0000,\u0000 \u0000l\u0000i\u0000k\u0000e\u0000l\u0000y\u0000 \u0000a\u0000 \u0000t\u0000r\u0000a\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000t\u0000e\u0000a\u0000h\u0000o\u0000u\u0000s\u0000e\u0000 \u0000o\u0000r\u0000 \u0000c\u0000u\u0000l\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000v\u0000e\u0000n\u0000u\u0000e\u0000.\u0000 \u0000I\u0000t\u0000 \u0000f\u0000e\u0000a\u0000t\u0000u\u0000r\u0000e\u0000s\u0000 \u0000a\u0000 \u0000w\u0000o\u0000o\u0000d\u0000e\u0000n\u0000 \u0000s\u0000t\u0000r\u0000u\u0000c\u0000t\u0000u\u0000r\u0000e\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000c\u0000l\u0000a\u0000s\u0000s\u0000i\u0000c\u0000 \u0000l\u0000a\u0000t\u0000t\u0000i\u0000c\u0000e\u0000w\u0000o\u0000r\u0000k\u0000.\u0000 \u0000T\u0000w\u0000o\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000,\u0000 \u0000c\u0000y\u0000l\u0000i\u0000n\u0000d\u0000r\u0000i\u0000c\u0000a\u0000l\u0000 \u0000l\u0000a\u0000n\u0000t\u0000e\u0000r\u0000n\u0000s\u0000 \u0000h\u0000a\u0000n\u0000g\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000e\u0000i\u0000l\u0000i\u0000n\u0000g\u0000,\u0000 \u0000c\u0000a\u0000s\u0000t\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000w\u0000a\u0000r\u0000m\u0000 \u0000g\u0000l\u0000o\u0000w\u0000.\u0000T\u0000h\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000d\u0000r\u0000o\u0000p\u0000 \u0000s\u0000h\u0000o\u0000w\u0000c\u0000a\u0000s\u0000e\u0000s\u0000 \u0000a\u0000 \u0000p\u0000a\u0000i\u0000n\u0000t\u0000e\u0000d\u0000 \u0000s\u0000c\u0000r\u0000e\u0000e\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000e\u0000l\u0000e\u0000m\u0000e\u0000n\u0000t\u0000s\u0000 \u0000l\u0000i\u0000k\u0000e\u0000 \u0000t\u0000r\u0000e\u0000e\u0000s\u0000,\u0000 \u0000b\u0000i\u0000r\u0000d\u0000s\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000m\u0000o\u0000u\u0000n\u0000t\u0000a\u0000i\u0000n\u0000s\u0000,\u0000 \u0000a\u0000l\u0000o\u0000n\u0000g\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000v\u0000e\u0000r\u0000t\u0000i\u0000c\u0000a\u0000l\u0000 \u0000s\u0000c\u0000r\u0000o\u0000l\u0000l\u0000 \u0000o\u0000f\u0000 \u0000c\u0000a\u0000l\u0000l\u0000i\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000.\u0000 \u0000B\u0000e\u0000l\u0000o\u0000w\u0000,\u0000 \u0000t\u0000h\u0000e\u0000r\u0000e\u0000 \u0000a\u0000r\u0000e\u0000 \u0000n\u0000e\u0000a\u0000t\u0000l\u0000y\u0000 \u0000a\u0000r\u0000r\u0000a\u0000n\u0000g\u0000e\u0000d\u0000 \u0000i\u0000t\u0000e\u0000m\u0000s\u0000 \u0000o\u0000n\u0000 \u0000a\u0000 \u0000c\u0000o\u0000u\u0000n\u0000t\u0000e\u0000r\u0000,\u0000 \u0000i\u0000l\u0000l\u0000u\u0000m\u0000i\u0000n\u0000a\u0000t\u0000e\u0000d\u0000 \u0000b\u0000y\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000-\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000o\u0000v\u0000e\u0000r\u0000a\u0000l\u0000l\u0000 \u0000a\u0000m\u0000b\u0000i\u0000a\u0000n\u0000c\u0000e\u0000 \u0000i\u0000s\u0000 \u0000t\u0000r\u0000a\u0000n\u0000q\u0000u\u0000i\u0000l\u0000 \u0000a\u0000n\u0000d\u0000 \u0000i\u0000n\u0000f\u0000u\u0000s\u0000e\u0000d\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000t\u0000r\u0000a\u0000d\u0000i\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000o\u0000r\u0000i\u0000e\u0000n\u0000t\u0000a\u0000l\u0000 \u0000a\u0000e\u0000s\u0000t\u0000h\u0000e\u0000t\u0000i\u0000c\u0000s\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
traditional japanese

- Prompt
- UNICODEA_style,This is an interior scene of an oriental - styled space, likely a traditional teahouse or cultural venue. It features a wooden structure with classic latticework. Two large, cylindrical lanterns hang from the ceiling, casting a warm glow.The backdrop showcases a painted screen with natural elements like trees, birds, and mountains, along with a vertical scroll of calligraphy. Below, there are neatly arranged items on a counter, illuminated by soft under - lighting. The overall ambiance is tranquil and infused with traditional oriental aesthetics.
Model description
This LoRA model focuses on traditional Japanese interior styles, accurately restoring spaces such as traditional tea rooms and creating an elegant and tranquil atmosphere.
It excels at generating scenes with delicate lighting and antique furnishings, and is suitable for design applications such as tea rooms and Japanese-style residences.
Trigger words
You should use A_style to trigger the image generation.
Download model
Download them in the Files & versions tab.
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