Instructions to use rorito/fluxbigboob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/fluxbigboob 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("rorito/fluxbigboob") prompt = "UNICODE\u0000\u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000 \u0000i\u0000m\u0000a\u0000g\u0000e\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000u\u0000l\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000M\u0000o\u0000c\u0000h\u0000a\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000S\u0000l\u0000e\u0000e\u0000k\u0000 \u0000s\u0000i\u0000d\u0000e\u0000-\u0000s\u0000w\u0000e\u0000p\u0000t\u0000 \u0000c\u0000u\u0000r\u0000l\u0000s\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000a\u0000 \u0000f\u0000u\u0000t\u0000u\u0000r\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000a\u0000 \u0000m\u0000o\u0000o\u0000n\u0000l\u0000i\u0000t\u0000 \u0000b\u0000a\u0000l\u0000l\u0000r\u0000o\u0000o\u0000m\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000m\u0000o\u0000o\u0000n\u0000b\u0000e\u0000a\u0000m\u0000s\u0000 \u0000s\u0000t\u0000r\u0000e\u0000a\u0000m\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000r\u0000o\u0000u\u0000g\u0000h\u0000 \u0000t\u0000a\u0000l\u0000l\u0000 \u0000w\u0000i\u0000n\u0000d\u0000o\u0000w\u0000s\u0000,\u0000 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000m\u0000u\u0000s\u0000i\u0000c\u0000,\u0000 \u0000e\u0000l\u0000e\u0000g\u0000a\u0000n\u0000t\u0000 \u0000d\u0000e\u0000c\u0000o\u0000r\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000m\u0000a\u0000g\u0000i\u0000c\u0000a\u0000l\u0000 \u0000a\u0000t\u0000m\u0000o\u0000s\u0000p\u0000h\u0000e\u0000r\u0000e\u0000,\u0000 \u0000a\u0000t\u0000 \u0000d\u0000a\u0000w\u0000n\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000b\u0000i\u0000g\u0000-\u0000b\u0000o\u0000o\u0000b\u0000s\u0000-\u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000-\u0000v\u00002\u0000:\u00001\u0000>\u0000 \u0000b\u0000i\u0000g\u0000_\u0000b\u0000o\u0000o\u0000b\u0000i\u0000e\u0000s\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/00082-3003080491.jpeg
text: "UNICODE\0\0h\0i\0g\0h\0l\0y\0 \0d\0e\0t\0a\0i\0l\0 \0i\0m\0a\0g\0e\0 \0o\0f\0 \0a\0 \0b\0e\0a\0u\0t\0i\0f\0u\0l\0 \0w\0o\0m\0a\0n\0,\0 \0M\0o\0c\0h\0a\0 \0b\0r\0o\0w\0n\0 \0h\0a\0i\0r\0,\0 \0S\0l\0e\0e\0k\0 \0s\0i\0d\0e\0-\0s\0w\0e\0p\0t\0 \0c\0u\0r\0l\0s\0 \0w\0i\0t\0h\0 \0a\0 \0f\0u\0t\0u\0r\0i\0s\0t\0i\0c\0 \0h\0a\0i\0r\0 \0c\0o\0l\0o\0r\0,\0 \0a\0 \0m\0o\0o\0n\0l\0i\0t\0 \0b\0a\0l\0l\0r\0o\0o\0m\0,\0 \0w\0i\0t\0h\0 \0m\0o\0o\0n\0b\0e\0a\0m\0s\0 \0s\0t\0r\0e\0a\0m\0i\0n\0g\0 \0t\0h\0r\0o\0u\0g\0h\0 \0t\0a\0l\0l\0 \0w\0i\0n\0d\0o\0w\0s\0,\0 \0s\0o\0f\0t\0 \0m\0u\0s\0i\0c\0,\0 \0e\0l\0e\0g\0a\0n\0t\0 \0d\0e\0c\0o\0r\0,\0 \0a\0n\0d\0 \0a\0 \0m\0a\0g\0i\0c\0a\0l\0 \0a\0t\0m\0o\0s\0p\0h\0e\0r\0e\0,\0 \0a\0t\0 \0d\0a\0w\0n\0,\0 \0<\0l\0o\0r\0a\0:\0b\0i\0g\0-\0b\0o\0o\0b\0s\0-\0c\0l\0o\0t\0h\0e\0s\0-\0v\02\0:\01\0>\0 \0b\0i\0g\0_\0b\0o\0o\0b\0i\0e\0s\0"
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: apache-2.0
fluxbigboob

- Prompt
- UNICODEhighly detail image of a beautiful woman, Mocha brown hair, Sleek side-swept curls with a futuristic hair color, a moonlit ballroom, with moonbeams streaming through tall windows, soft music, elegant decor, and a magical atmosphere, at dawn, <lora:big-boobs-clothes-v2:1> big_boobies
Download model
Download them in the Files & versions tab.