Instructions to use Ching2602/wanpenisplay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/wanpenisplay with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Ching2602/wanpenisplay") prompt = "A woman performs penis worshipping, holding a large, erect penis with both hands and bringing it towards her face. She is licking the shaft, smiling. She continues to kiss and suck the penis, then rubs it on her face. Camera is focused from a low, upward angle." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
wanpenisplay
- Prompt
- A woman performs penis worshipping, holding a large, erect penis with both hands and bringing it towards her face. She is licking the shaft, smiling. She continues to kiss and suck the penis, then rubs it on her face. Camera is focused from a low, upward angle.
Trigger words
You should use penis worshipping to trigger the image generation.
Download model
Download them in the Files & versions tab.
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