Instructions to use B0rghese/Little_Miss_Ruby_Honeythighs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B0rghese/Little_Miss_Ruby_Honeythighs with Diffusers:
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-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B0rghese/Little_Miss_Ruby_Honeythighs") prompt = "R\u0000u\u0000b\u0000y\u0000_\u0000H\u00000\u0000n\u0000e\u0000y\u0000t\u0000h\u0000i\u0000g\u0000h\u0000s\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\u0000r\u0000e\u0000e\u0000n\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000p\u0000u\u0000r\u0000p\u0000l\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000p\u0000u\u0000r\u0000p\u0000l\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000t\u0000a\u0000c\u0000k\u0000,\u0000 \u0000t\u0000w\u0000i\u0000n\u0000 \u0000p\u0000o\u0000n\u0000y\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000a\u0000h\u0000o\u0000g\u0000e\u0000,\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000c\u0000a\u0000s\u0000u\u0000a\u0000l\u0000_\u0000o\u0000u\u0000t\u0000f\u0000i\u0000t\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000g\u0000i\u0000n\u0000g\u0000h\u0000a\u0000m\u0000 \u0000c\u0000r\u0000o\u0000p\u0000t\u0000o\u0000p\u0000,\u0000 \u0000u\u0000n\u0000b\u0000u\u0000t\u0000t\u0000o\u0000n\u0000e\u0000d\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000 \u0000j\u0000e\u0000a\u0000n\u0000 \u0000m\u0000i\u0000c\u0000r\u0000o\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000j\u0000e\u0000a\u0000n\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000c\u0000u\u0000t\u0000o\u0000f\u0000f\u0000 \u0000j\u0000e\u0000a\u0000n\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000b\u0000e\u0000l\u0000t\u0000,\u0000 \u0000b\u0000e\u0000l\u0000t\u0000 \u0000b\u0000u\u0000c\u0000k\u0000l\u0000e\u0000,\u0000 \u0000c\u0000o\u0000w\u0000b\u0000o\u0000y\u0000 \u0000b\u0000o\u0000o\u0000t\u0000s\u0000,\u0000 \u0000f\u0000u\u0000l\u0000l\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000a\u0000b\u0000o\u0000v\u0000e\u0000,\u0000 \u0000a\u0000r\u0000m\u0000s\u0000 \u0000d\u0000o\u0000w\u0000n\u0000,\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000 \u0000s\u0000q\u0000u\u0000e\u0000e\u0000z\u0000e\u0000d\u0000 \u0000t\u0000o\u0000g\u0000e\u0000t\u0000h\u0000e\u0000r\u0000,\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000 \u0000t\u0000w\u0000i\u0000n\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000d\u0000e\u0000n\u0000i\u0000m\u0000,\u0000 \u0000c\u0000u\u0000t\u0000o\u0000f\u0000f\u0000 \u0000j\u0000e\u0000a\u0000n\u0000 \u0000m\u0000i\u0000c\u0000r\u0000o\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000b\u0000a\u0000s\u0000h\u0000f\u0000u\u0000l\u0000,\u0000 \u0000b\u0000l\u0000u\u0000s\u0000h\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Little Miss Ruby Honeythighs

- Prompt
- Ruby_H0neythighs, 1girl, solo, goblin girl, green skin, purple eyes, purple hair, shortstack, twin ponytails, ahoge, medium breasts, casual_outfit, red gingham croptop, unbuttoned cleavage, jean micro shorts, jean shorts, cutoff jean shorts, belt, belt buckle, cowboy boots, full body, looking at viewer, white background, simple background, from above, arms down, breasts squeezed together, breasts, shirt, cleavage, twintails, shorts, denim, cutoff jean micro shorts, breast focus, bashful, blush

- Prompt
- Ruby_H0neythighs, 1girl, solo, goblin girl, green skin, purple eyes, purple hair, shortstack, twin ponytails, ahoge, medium breasts, casual_outfit, red gingham croptop, unbuttoned cleavage, jean micro shorts, jean shorts, cutoff jean shorts, belt, belt buckle, cowboy boots, full body, looking at viewer, arms down, outdoors, breasts, shorts, twintails, pointy ears, boots, denim, cutoff jean micro shorts, blush, walking toward viewer

- Prompt
- Ruby_H0neythighs, 1girl, solo, goblin girl, green skin, purple eyes, purple hair, shortstack, twin ponytails, ahoge, medium breasts, casual_outfit, red gingham croptop, unbuttoned cleavage, jean micro shorts, jean shorts, cutoff jean shorts, belt, belt buckle, cowboy boots, full body, white background, simple background, breasts, shirt, pointy ears, boots, shorts, denim, side view, cutoff jean micro shorts, midriff
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