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
About this model
#1
by papille - opened
hello MarkBW,
Thank you for liking my work but,
I made this Lora and published it in CIVITAI : https://civitai.com/models/292854/bougiebb
- this lora is intended for private use only, as specified in my release. It's a real person behind this AI girl
- it would have been nice to credit my work, and any work you display
So for these reasons. thank you for delete it here.
MP