Instructions to use profpeng/wandoggyfrontal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/wandoggyfrontal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/wandoggyfrontal") prompt = "Pl0wView, center composition, she lifts up her dress while a mans penis is penetrating a woman's anus while she closes her eyes and expresses pleasure and delight. the scene is dark. the background is a concrete wall" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
wandoggyfrontal
- Prompt
- Pl0wView, center composition, she lifts up her dress while a mans penis is penetrating a woman's anus while she closes her eyes and expresses pleasure and delight. the scene is dark. the background is a concrete wall
Trigger words
You should use Pl0wView to trigger the image generation.
You should use center composition to trigger the image generation.
You should use she lifts up her dress while a mans penis is penetrating a woman's anus while she closes her eyes and expresses pleasure and delight. the scene is dark. the background is a concrete wall to trigger the image generation.
Download model
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Model tree for profpeng/wandoggyfrontal
Base model
Wan-AI/Wan2.2-I2V-A14B