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

- Prompt
- -
Model description
Trigger words
You should use Uncut flaccid penis to trigger the image generation.
You should use uncut erect penis to trigger the image generation.
You should use overhand foreskin to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Jorgegriese/Xpenisuncutflux
Base model
black-forest-labs/FLUX.1-dev