Instructions to use profpeng/tripledick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/tripledick 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/tripledick") prompt = "The video begins with a woman. The video then jumpcuts to the same woman now being triple dicked. In this scene, she is positioned kneeling or crouching on the floor of the same location in front of a dark-skinned man between his legs as she performs oral sex on him the man holds his penis with his left hand, she is giving a handjob to two men at standing at her sides. she looks directly at the camera as she does the act. the men's large penises are close to her face as she rubs her hands up and down them." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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iGoon_Blink_Triple_Dicked_I2V_HIGH.safetensors
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