Instructions to use JumboPecs/riding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JumboPecs/riding 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("JumboPecs/riding") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
riding

- Prompt
- -
Trigger words
You should use dildo riding to trigger the image generation.
You should use riding dildos to trigger the image generation.
You should use riding dildo to trigger the image generation.
You should use vaginal object insertion to trigger the image generation.
You should use pussy to trigger the image generation.
You should use sex toy to trigger the image generation.
You should use object insertion to trigger the image generation.
You should use bottomless to trigger the image generation.
You should use dildo insertion to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for JumboPecs/riding
Base model
black-forest-labs/FLUX.1-dev