Instructions to use profpeng/mouthful with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/mouthful 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/mouthful") prompt = "m0u7hfu11, the scene begins with the camera zooming in onto the woman's face while the man's hand holding his penis near her mouth, with her mouth open wide. The focus is on the act of oral ejaculation, with the man's hand holding the penis near her mouth. The woman appears to be in a state of arousal, with her eyes closed and lips parted. Seminal fluid is white, thick and sticky being ejaculate from the penis is visible as it fills her mouth, dripping from her lips and pooling on her tongue. The camera angle is an extreme close-up, focusing on the open mouth and the action of swallowing. There are no other other participants or significant background details visible in the frame." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
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