Instructions to use B4100/bttplg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/bttplg with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux2-Klein-9B-True-V2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/bttplg") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/Firefly_gpt-image_Waist to face shot, young woman age 24, warm
golden tan skin — the specific tan of so 543120.png
text: '-'
base_model: wikeeyang/Flux2-Klein-9B-True-V2
instance_prompt: butt_plug
bttplg

- Prompt
- -
Model description
butt_plug
Trigger words
You should use butt_plug to trigger the image generation.
Download model
Download them in the Files & versions tab.