Instructions to use Rand000mGuy/biancav3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/biancav3 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-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/biancav3") prompt = "UNICODE\u0000\u0000B\u0000I\u0000A\u0000N\u0000C\u0000A\u0000T\u0000H\u0000,\u0000 \u0000a\u0000 \u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000o\u0000u\u0000n\u0000t\u0000e\u0000r\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000s\u0000m\u0000a\u0000l\u0000l\u0000 \u0000b\u0000a\u0000k\u0000e\u0000r\u0000y\u0000,\u0000 \u0000p\u0000o\u0000i\u0000n\u0000t\u0000i\u0000n\u0000g\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000o\u0000n\u0000e\u0000 \u0000h\u0000a\u0000n\u0000d\u0000 \u0000a\u0000t\u0000 \u0000a\u0000 \u0000c\u0000h\u0000a\u0000l\u0000k\u0000b\u0000o\u0000a\u0000r\u0000d\u0000 \u0000t\u0000h\u0000a\u0000t\u0000 \u0000r\u0000e\u0000a\u0000d\u0000s\u0000 \u0000\"\u0000B\u0000R\u0000E\u0000A\u0000D\u0000\"\u0000,\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000n\u0000a\u0000m\u0000e\u0000 \u0000t\u0000a\u0000g\u0000 \u0000t\u0000h\u0000a\u0000t\u0000 \u0000r\u0000e\u0000a\u0000d\u0000s\u0000 \u0000\"\u0000L\u0000U\u0000C\u0000I\u0000A\u0000\"\u0000.\u0000 \u0000H\u0000o\u0000n\u0000e\u0000y\u0000-\u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000t\u0000i\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000f\u0000e\u0000w\u0000 \u0000l\u0000o\u0000o\u0000s\u0000e\u0000 \u0000s\u0000t\u0000r\u0000a\u0000n\u0000d\u0000s\u0000,\u0000 \u0000m\u0000i\u0000n\u0000i\u0000m\u0000a\u0000l\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000w\u0000e\u0000a\u0000r\u0000s\u0000 \u0000a\u0000 \u0000f\u0000l\u0000o\u0000u\u0000r\u0000-\u0000d\u0000u\u0000s\u0000t\u0000e\u0000d\u0000 \u0000c\u0000r\u0000e\u0000a\u0000m\u0000 \u0000a\u0000p\u0000r\u0000o\u0000n\u0000 \u0000o\u0000v\u0000e\u0000r\u0000 \u0000a\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000n\u0000a\u0000v\u0000y\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000e\u0000r\u0000.\u0000 \u0000W\u0000o\u0000o\u0000d\u0000e\u0000n\u0000 \u0000s\u0000h\u0000e\u0000l\u0000v\u0000e\u0000s\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000l\u0000o\u0000a\u0000v\u0000e\u0000s\u0000 \u0000o\u0000f\u0000 \u0000b\u0000r\u0000e\u0000a\u0000d\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000w\u0000i\u0000n\u0000d\u0000o\u0000w\u0000 \u0000o\u0000n\u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000r\u0000e\u0000e\u0000t\u0000,\u0000 \u0000w\u0000a\u0000r\u0000m\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000m\u0000o\u0000r\u0000n\u0000i\u0000n\u0000g\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000.\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
biancav3

- Prompt
- UNICODEBIANCATH, a medium shot of a woman standing behind the counter of a small bakery, pointing with one hand at a chalkboard that reads "BREAD", wearing a name tag that reads "LUCIA". Honey-blonde hair tied back with a few loose strands, minimal makeup. She wears a flour-dusted cream apron over a thick navy sweater. Wooden shelves with loaves of bread and a window onto the street, warm soft morning light.
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