Instructions to use B0rghese/Demira with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B0rghese/Demira 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/Demira") prompt = "\u0000\u0000D\u0000e\u0000m\u0000i\u0000r\u0000a\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000-\u0000f\u0000r\u0000a\u0000m\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000w\u0000e\u0000a\u0000r\u0000,\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000e\u0000y\u0000e\u0000w\u0000e\u0000a\u0000r\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000s\u0000,\u0000 \u0000b\u0000r\u0000a\u0000c\u0000e\u0000l\u0000e\u0000t\u0000,\u0000 \u0000t\u0000u\u0000b\u0000e\u0000 \u0000t\u0000o\u0000p\u0000,\u0000 \u0000l\u0000e\u0000a\u0000n\u0000i\u0000n\u0000g\u0000 \u0000f\u0000o\u0000r\u0000w\u0000a\u0000r\u0000d\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/DEWHVJRCA8FX4X9H0MXSP88930.jpeg
text: "\0\0D\0e\0m\0i\0r\0a\0,\0 \0l\0a\0r\0g\0e\0 \0b\0r\0e\0a\0s\0t\0s\0,\0 \0m\0a\0k\0e\0u\0p\0,\0 \0b\0r\0o\0w\0n\0 \0e\0y\0e\0s\0,\0 \0c\0l\0e\0a\0v\0a\0g\0e\0,\0,\0 \0l\0a\0r\0g\0e\0 \0b\0r\0e\0a\0s\0t\0s\0,\0 \0m\0a\0k\0e\0u\0p\0,\0 \0b\0r\0o\0w\0n\0 \0e\0y\0e\0s\0,\0 \0c\0l\0e\0a\0v\0a\0g\0e\0,\0 \01\0g\0i\0r\0l\0,\0 \0s\0o\0l\0o\0,\0 \0b\0l\0a\0c\0k\0-\0f\0r\0a\0m\0e\0d\0 \0e\0y\0e\0w\0e\0a\0r\0,\0 \0b\0r\0e\0a\0s\0t\0s\0,\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0g\0l\0a\0s\0s\0e\0s\0,\0 \0b\0l\0a\0c\0k\0 \0h\0a\0i\0r\0,\0 \0r\0o\0u\0n\0d\0 \0e\0y\0e\0w\0e\0a\0r\0,\0 \0s\0h\0o\0r\0t\0s\0,\0 \0b\0r\0a\0c\0e\0l\0e\0t\0,\0 \0t\0u\0b\0e\0 \0t\0o\0p\0,\0 \0l\0e\0a\0n\0i\0n\0g\0 \0f\0o\0r\0w\0a\0r\0d\0"
base_model: krea/Krea-2-Turbo
instance_prompt: null
Demira

- Prompt
- Demira, large breasts, makeup, brown eyes, cleavage,, large breasts, makeup, brown eyes, cleavage, 1girl, solo, black-framed eyewear, breasts, realistic, glasses, black hair, round eyewear, shorts, bracelet, tube top, leaning forward
Download model
Download them in the Files & versions tab.