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profpeng
/
blinkfrontdoggy

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

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

  • Libraries
  • Diffusers

    How to use profpeng/blinkfrontdoggy 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/blinkfrontdoggy")
    
    prompt = "The video begins with a close-up of a woman. The video then jumpcuts to the same woman now having sex with a man in doggystyle position in the the same location. She is positioned standing, while the man stands behind her, The man is muscular his hands are wrapped around the womans's stomach holding her upright while embracing her from behind, he holds her close as he thrusts into her. As the scene progresses, she moves rhythmically with him. she is fully nude. the man aggressively rams his hips into her."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
blinkfrontdoggy
321 MB
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  • 1 contributor
History: 2 commits
profpeng's picture
profpeng
Add 3 files
c6e6a72 verified 5 months ago
  • images
    Add 3 files 5 months ago
  • .gitattributes
    2.31 kB
    initial commit 5 months ago
  • README.md
    976 Bytes
    initial commit 5 months ago
  • iGoon - Blink_Front_Doggystyle_I2V_HIGH.safetensors
    163 MB
    xet
    Add 3 files 5 months ago
  • iGoon - Blink_Front_Doggystyle_I2V_LOW.safetensors
    153 MB
    xet
    Add 3 files 5 months ago