Instructions to use rorito/BigBoobsFLUX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rorito/BigBoobsFLUX 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rorito/BigBoobsFLUX") prompt = "UNICODE\u0000\u0000s\u0000i\u0000d\u0000e\u0000v\u0000i\u0000e\u0000w\u0000,\u0000 \u0000b\u0000i\u0000g\u0000 \u0000b\u0000o\u0000o\u0000b\u0000s\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: "UNICODE\0\0s\0i\0d\0e\0v\0i\0e\0w\0,\0 \0b\0i\0g\0 \0b\0o\0o\0b\0s\0"
output:
url: images/Big_Boobs_e000005_01_20240817195220.jpeg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: boobs
license: apache-2.0
BigBoobsFLUX

- Prompt
- UNICODEsideview, big boobs
Trigger words
You should use boobs to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.