Instructions to use MarkBW/bougiebb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/bougiebb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/bougiebb") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000b\u0000o\u0000u\u0000g\u0000i\u0000e\u0000b\u0000b\u0000v\u00006\u0000-\u00000\u00000\u00000\u00000\u00000\u00009\u0000:\u00001\u0000>\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000e\u0000x\u0000t\u0000r\u0000e\u0000m\u0000e\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000,\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000b\u00003\u0000u\u0000g\u00003\u0000e\u0000 \u0000,\u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000o\u0000u\u0000t\u0000d\u0000o\u0000o\u0000r\u0000s\u0000,\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000t\u0000e\u0000e\u0000t\u0000h\u0000,\u0000 \u0000d\u0000a\u0000y\u0000,\u0000 \u0000g\u0000r\u0000i\u0000n\u0000,\u0000 \u0000t\u0000w\u0000i\u0000n\u0000 \u0000b\u0000r\u0000a\u0000i\u0000d\u0000s\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000h\u0000e\u0000a\u0000d\u0000 \u0000t\u0000i\u0000l\u0000t\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 1,428 Bytes
7d6fe0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | ---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: "UNICODE\0\0<\0l\0o\0r\0a\0:\0b\0o\0u\0g\0i\0e\0b\0b\0v\06\0-\00\00\00\00\00\09\0:\01\0>\0,\0 \0b\0e\0s\0t\0 \0q\0u\0a\0l\0i\0t\0y\0,\0 \0m\0a\0s\0t\0e\0r\0p\0i\0e\0c\0e\0,\0 \0p\0h\0o\0t\0o\0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0u\0l\0t\0r\0a\0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0p\0r\0o\0f\0e\0s\0s\0i\0o\0n\0a\0l\0 \0p\0h\0o\0t\0o\0g\0r\0a\0p\0h\0 \0s\0h\0o\0t\0,\0 \0e\0x\0t\0r\0e\0m\0e\0 \0c\0l\0o\0s\0e\0 \0p\0o\0r\0t\0r\0a\0i\0t\0,\0 \0p\0h\0o\0t\0o\0g\0r\0a\0p\0h\0 \0o\0f\0 \0b\03\0u\0g\03\0e\0 \0,\0l\0o\0n\0g\0 \0h\0a\0i\0r\0,\0 \0l\0o\0o\0k\0i\0n\0g\0 \0a\0t\0 \0v\0i\0e\0w\0e\0r\0,\0 \0s\0m\0i\0l\0e\0,\0 \0o\0u\0t\0d\0o\0o\0r\0s\0,\0 \0s\0k\0y\0,\0 \0t\0e\0e\0t\0h\0,\0 \0d\0a\0y\0,\0 \0g\0r\0i\0n\0,\0 \0t\0w\0i\0n\0 \0b\0r\0a\0i\0d\0s\0,\0 \0b\0l\0u\0e\0 \0s\0k\0y\0,\0 \0h\0e\0a\0d\0 \0t\0i\0l\0t\0,\0 \0s\0h\0i\0r\0t\0,\0"
output:
url: images/00232-1090610660.jpeg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: b3ug3e
---
# bougiebb
<Gallery />
## Model description
Bougie BB is an instagram fashion model and also OF creator, professional Naughty Girl
## Trigger words
You should use `b3ug3e` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/bougiebb/tree/main) them in the Files & versions tab.
|