Instructions to use k3b4bb/brutalist-flux-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use k3b4bb/brutalist-flux-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("k3b4bb/brutalist-flux-lora") prompt = "UNICODE\u0000\u0000P\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000A\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000p\u0000e\u0000t\u0000r\u0000o\u0000l\u0000-\u0000b\u0000l\u0000u\u0000e\u0000 \u0000v\u0000i\u0000n\u0000t\u0000a\u0000g\u0000e\u0000 \u0000c\u0000o\u0000u\u0000c\u0000h\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000l\u0000i\u0000v\u0000i\u0000n\u0000g\u0000 \u0000r\u0000o\u0000o\u0000m\u0000 \u0000d\u0000e\u0000s\u0000i\u0000g\u0000n\u0000e\u0000d\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000b\u0000r\u0000u\u0000t\u00004\u0000l\u0000i\u0000s\u0000t\u0000 \u0000d\u0000e\u0000s\u0000i\u0000g\u0000n\u0000.\u0000 \u0000O\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000f\u0000l\u0000o\u0000o\u0000r\u0000 \u0000t\u0000h\u0000e\u0000r\u0000e\u0000 \u0000i\u0000s\u0000 \u0000a\u0000 \u0000w\u0000o\u0000r\u0000n\u0000 \u0000o\u0000u\u0000t\u0000 \u0000c\u0000a\u0000n\u0000a\u0000r\u0000y\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000r\u0000u\u0000g\u0000.\u0000 \u0000F\u0000e\u0000r\u0000n\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000h\u0000a\u0000n\u0000g\u0000i\u0000n\u0000g\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000e\u0000i\u0000l\u0000i\u0000n\u0000g\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000b\u0000u\u0000l\u0000b\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000v\u0000i\u0000n\u0000t\u0000a\u0000g\u0000e\u0000.\u0000 \u0000A\u0000 \u0000s\u0000p\u0000i\u0000r\u0000a\u0000l\u0000i\u0000n\u0000g\u0000 \u0000c\u0000o\u0000n\u0000c\u0000r\u0000e\u0000t\u0000e\u0000 \u0000s\u0000t\u0000a\u0000i\u0000r\u0000c\u0000a\u0000s\u0000e\u0000 \u0000g\u0000o\u0000e\u0000s\u0000 \u0000u\u0000p\u0000w\u0000a\u0000r\u0000d\u0000s\u0000 \u0000o\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000r\u0000i\u0000g\u0000h\u0000t\u0000 \u0000s\u0000i\u0000d\u0000e\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000i\u0000m\u0000a\u0000g\u0000e\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000i\u0000s\u0000 \u0000s\u0000o\u0000m\u0000b\u0000e\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000m\u0000y\u0000s\u0000t\u0000e\u0000r\u0000i\u0000o\u0000u\u0000s\u0000 \u0000y\u0000e\u0000t\u0000 \u0000w\u0000a\u0000r\u0000m\u0000 \u0000a\u0000n\u0000d\u0000 \u0000w\u0000e\u0000l\u0000c\u0000o\u0000m\u0000i\u0000n\u0000g\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
brutalism style

- Prompt
- UNICODEPhotograph of A dark petrol-blue vintage couch in a living room designed in a brut4list design. On the floor there is a worn out canary yellow rug. Ferns are hanging from the ceiling, and the lightbulbs are vintage. A spiraling concrete staircase goes upwards on the right side of the image. The light is somber and mysterious yet warm and welcoming.
Model description
0.4-0.5 weight
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