Instructions to use B4100/razz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/razz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diroverflo/FLux_Klein_9B_NSFW", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/razz") 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/f4.jpg
text: '-'
base_model: diroverflo/FLux_Klein_9B_NSFW
instance_prompt: null
razz

- Prompt
- -
Model description
Model now knows:
Pussy
Pussy spread
Anus
Ass Spread
Insertion
Gaping
Enhanced nipples knowledge
and way more
Also use amateur photo for a cellphone type of image.
Use the Lora weight of 0.8 to 1.2
Download model
Download them in the Files & versions tab.