Instructions to use shadowalker0123/Nuttah with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shadowalker0123/Nuttah with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("shadowalker0123/Nuttah") prompt = "UNICODE\u0000\u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000m\u0000a\u0000z\u0000i\u0000n\u0000g\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000g\u0000o\u0000b\u0000l\u0000i\u0000n\u0000 \u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000G\u0000o\u0000b\u0000l\u0000i\u0000n\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000m\u0000e\u0000s\u0000s\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000w\u0000i\u0000d\u0000e\u0000 \u0000h\u0000i\u0000p\u0000s\u0000,\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000t\u0000h\u0000i\u0000g\u0000h\u0000s\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000p\u0000l\u0000u\u0000m\u0000p\u0000,\u0000 \u0000(\u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000t\u0000a\u0000c\u0000k\u0000)\u0000,\u0000 \u0000f\u0000r\u0000o\u0000w\u0000n\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000 \u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000t\u0000r\u0000i\u0000b\u0000a\u0000l\u0000 \u0000l\u0000o\u0000i\u0000n\u0000c\u0000l\u0000o\u0000t\u0000h\u0000,\u0000 \u0000t\u0000r\u0000i\u0000b\u0000a\u0000l\u0000 \u0000t\u0000u\u0000b\u0000e\u0000 \u0000t\u0000o\u0000p\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000 \u0000f\u0000a\u0000r\u0000 \u0000v\u0000i\u0000e\u0000w\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000s\u0000t\u0000,\u0000 \u0000d\u0000i\u0000r\u0000t\u0000 \u0000p\u0000a\u0000t\u0000h\u0000,\u0000 \u0000v\u0000i\u0000e\u0000w\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000,\u0000 \u0000s\u0000p\u0000e\u0000a\u0000r\u0000 \u0000i\u0000n\u0000 \u0000h\u0000a\u0000n\u0000d\u0000,\u0000 \u0000d\u0000s\u0000k\u0000p\u0000,\u0000 \u0000D\u0000o\u0000s\u0000k\u0000o\u0000i\u0000n\u0000p\u0000o\u0000,\u0000 \u0000a\u0000s\u0000s\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000.\u0000 \u0000a\u0000s\u0000s\u0000,\u0000 \u0000a\u0000s\u0000s\u0000f\u0000o\u0000c\u0000u\u0000s\u0000I\u0000L\u0000L\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Nuttah-dosk

- Prompt
- UNICODEmasterpiece, best quality, amazing quality, 1girl, solo, goblin girl, Goblin, green skin, red eyes, black hair, long hair, messy hair, wide hips, thick thighs, large breasts, plump, (shortstack), frown, closed mouth, standing, tribal loincloth, tribal tube top, cleavage, far view, forest, dirt path, view from behind, spear in hand, dskp, Doskoinpo, ass focus. ass, assfocusILL

- Prompt
- UNICODEmasterpiece, best quality, amazing quality, 1girl, solo, goblin girl, Goblin, green skin, red eyes, black hair, long hair, messy hair, wide hips, thick thighs, large breasts, plump, (shortstack), frown, closed mouth, standing, tribal loincloth, tribal tube top, cleavage, far view, forest, dirt path, view from behind, spear in hand, dskp, Doskoinpo, ass focus. ass, assfocusILL
Model description
Nuttah adapter from civitai
Trigger words
You should use dosk to trigger the image generation.
Download model
Download them in the Files & versions tab.
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