Instructions to use Rand000mGuy/biancat_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/biancat_v2 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/biancat_v2") prompt = "UNICODE\u0000\u0000B\u00001\u0000a\u0000n\u0000c\u0000@\u0000_\u0000Q\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 \u0000a\u0000t\u0000 \u0000a\u0000 \u0000b\u0000a\u0000k\u0000e\u0000r\u0000y\u0000 \u0000c\u0000o\u0000u\u0000n\u0000t\u0000e\u0000r\u0000 \u0000h\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000p\u0000a\u0000p\u0000e\u0000r\u0000 \u0000b\u0000a\u0000g\u0000 \u0000a\u0000c\u0000r\u0000o\u0000s\u0000s\u0000 \u0000i\u0000t\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000r\u0000e\u0000l\u0000a\u0000x\u0000e\u0000d\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000.\u0000 \u0000H\u0000o\u0000n\u0000e\u0000y\u0000-\u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000w\u0000o\u0000r\u0000n\u0000 \u0000l\u0000o\u0000o\u0000s\u0000e\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000w\u0000e\u0000a\u0000r\u0000s\u0000 \u0000a\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000n\u0000a\u0000v\u0000y\u0000 \u0000w\u0000o\u0000o\u0000l\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000e\u0000r\u0000.\u0000 \u0000S\u0000m\u0000a\u0000l\u0000l\u0000 \u0000b\u0000a\u0000k\u0000e\u0000r\u0000y\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000w\u0000o\u0000o\u0000d\u0000e\u0000n\u0000 \u0000s\u0000h\u0000e\u0000l\u0000v\u0000e\u0000s\u0000 \u0000o\u0000f\u0000 \u0000b\u0000r\u0000e\u0000a\u0000d\u0000,\u0000 \u0000w\u0000a\u0000r\u0000m\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
biancat

- Prompt
- UNICODEB1anc@_Q, a medium shot of a woman standing at a bakery counter handing a paper bag across it with a relaxed smile. Honey-blonde hair worn loose, natural makeup. She wears a thick navy wool sweater. Small bakery with wooden shelves of bread, warm morning light.
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