Instructions to use Jorgegriese/Penis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jorgegriese/Penis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jorgegriese/Penis") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Intothedeep707_2600

- Prompt
- -
Model description
Male anatomy
Trigger words
You should use Penis to trigger the image generation.
You should use uncut to trigger the image generation.
You should use flaccid to trigger the image generation.
You should use erect 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/Penis
Base model
Tongyi-MAI/Z-Image-Turbo