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profpeng
/
wanbbcride

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

Instructions to use profpeng/wanbbcride with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use profpeng/wanbbcride 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/wanbbcride")
    
    prompt = "A highly detailed video featuring a close-up, low-angle shot of a naked woman squatting a naked man with dark skin. The woman is positioned on top of the man, facing the camera, with her back arched and her buttocks prominently displayed. The man's thick massive dripping erect penis is visible, penetrating her. The background is slightly blurred, drawing focus to the couple in the foreground. The woman's expression is one of pleasure, with her eyes open in shock and mouth open in a scream of orgasm. The image has a shallow depth of field, with the focus primarily on the couple. The aesthetic quality of the image is very high, with clear, sharp details and vibrant colors."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
wanbbcride
618 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
profpeng's picture
profpeng
Add 3 files
b79de0e verified 6 months ago
  • images
    Add 3 files 6 months ago
  • .gitattributes
    2.31 kB
    initial commit 6 months ago
  • README.md
    2.95 kB
    initial commit 6 months ago
  • bbcRide_wan22_T2V_high_e20.safetensors
    307 MB
    xet
    Add 3 files 6 months ago
  • bbcRide_wan22_T2V_low_e20.safetensors
    307 MB
    xet
    Add 3 files 6 months ago