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Duplicated from  patrolli/AnimateAnyone

codingggasdfasf
/
video-animator

Diffusers
ONNX
Model card Files Files and versions
xet
Community
1

Instructions to use codingggasdfasf/video-animator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use codingggasdfasf/video-animator with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("codingggasdfasf/video-animator", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
video-animator / src /models
382 kB
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  • 3 contributors
History: 1 commit
root
setting up model
dd31ccf almost 2 years ago
  • __pycache__
    setting up model almost 2 years ago
  • attention.py
    17.7 kB
    setting up model almost 2 years ago
  • motion_module.py
    13.1 kB
    setting up model almost 2 years ago
  • mutual_self_attention.py
    14.4 kB
    setting up model almost 2 years ago
  • pose_guider.py
    1.68 kB
    setting up model almost 2 years ago
  • resnet.py
    8.15 kB
    setting up model almost 2 years ago
  • transformer_2d.py
    18.9 kB
    setting up model almost 2 years ago
  • transformer_3d.py
    5.84 kB
    setting up model almost 2 years ago
  • unet_2d_blocks.py
    41.4 kB
    setting up model almost 2 years ago
  • unet_2d_condition.py
    63.6 kB
    setting up model almost 2 years ago
  • unet_3d.py
    28 kB
    setting up model almost 2 years ago
  • unet_3d_blocks.py
    31 kB
    setting up model almost 2 years ago