Instructions to use B4100/ridingd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/ridingd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/ridingd") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/Firefly_gpt-image_Full body shot, young woman age 21, very pale
cool skin — mixed Korean and Norwegian, 482179.png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
ridingdld

- Prompt
- -
Model description
dldoridng, the video start with a woman, the screen quickly goes dark and then lights up again to show a vagina close-up of the same woman riding a plastic dildo in the same place,the toy is in the woman's vagina. she is leaning backwards as she bounces up and down aggressively. Her face is visible.
Download model
Download them in the Files & versions tab.