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profpeng
/
tripledick

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

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
  • Draw Things
  • DiffusionBee
tripledick
312 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
profpeng's picture
profpeng
Add 3 files
a70f098 verified 5 months ago
  • images
    Add 3 files 5 months ago
  • .gitattributes
    2.31 kB
    initial commit 5 months ago
  • README.md
    962 Bytes
    initial commit 5 months ago
  • iGoon_Blink_Triple_Dicked_I2V_HIGH.safetensors
    153 MB
    xet
    Add 3 files 5 months ago
  • iGoon_Blink_Triple_Dicked_I2V_LOW.safetensors
    153 MB
    xet
    Add 3 files 5 months ago