Instructions to use BlueTriangles/SDXL_Niimi_Kaoru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlueTriangles/SDXL_Niimi_Kaoru with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlueTriangles/SDXL_Niimi_Kaoru") prompt = "\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000S\u0000D\u0000X\u0000L\u0000_\u0000N\u0000i\u0000i\u0000m\u0000i\u0000_\u0000K\u0000a\u0000o\u0000r\u0000u\u0000:\u00000\u0000.\u00007\u0000>\u0000 \u0000(\u0000s\u0000d\u0000x\u0000l\u0000-\u0000n\u0000i\u0000i\u0000m\u0000i\u0000-\u0000k\u0000a\u0000o\u0000r\u0000u\u0000,\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000c\u0000l\u0000i\u0000p\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000o\u0000r\u0000n\u0000a\u0000m\u0000e\u0000n\u0000t\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000e\u0000m\u0000i\u0000-\u0000r\u0000i\u0000m\u0000l\u0000e\u0000s\u0000s\u0000 \u0000e\u0000y\u0000e\u0000w\u0000e\u0000a\u0000r\u0000,\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000-\u0000r\u0000i\u0000m\u0000 \u0000e\u0000y\u0000e\u0000w\u0000e\u0000a\u0000r\u0000,\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000)\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Niimi Kaoru / Space Battleship Yamato Series(新見 薫 in 宇宙戦艦ヤマト シリーズ)

- Prompt
- <lora:SDXL_Niimi_Kaoru:0.7> (sdxl-niimi-kaoru, glasses, brown eyes, short hair, hairclip, hair ornament, dark blue hair, semi-rimless eyewear, earrings, hair between eyes, under-rim eyewear, medium breasts)

- Prompt
- <lora:SDXL_Niimi_Kaoru:0.7> (sdxl-niimi-kaoru, glasses, brown eyes, short hair, hairclip, hair ornament, dark blue hair, semi-rimless eyewear, earrings, hair between eyes, under-rim eyewear, medium breasts)

- Prompt
- <lora:SDXL_Niimi_Kaoru:0.7> (sdxl-niimi-kaoru, glasses, brown eyes, short hair, hairclip, hair ornament, dark blue hair, semi-rimless eyewear, earrings, hair between eyes, under-rim eyewear, medium breasts)
Model description
Trained by 26 images, 10 epochs for 600 steps.
Appearance: sdxl-niimi-kaoru, glasses, brown eyes, short hair, hairclip, hair ornament, dark blue hair, semi-rimless eyewear, earrings, hair between eyes, under-rim eyewear, medium breasts
Outfit: uchuu senkan yamato, uchuu senkan yamato 2199, military uniform, bodysuit, blue bodysuit, belt
Trigger words
You should use sdxl-niimi-kaoru to trigger the image generation.
Download model
Download them in the Files & versions tab.
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