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ShawnHugging
/
WaymoWAN22NeuralAssets

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

Instructions to use ShawnHugging/WaymoWAN22NeuralAssets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ShawnHugging/WaymoWAN22NeuralAssets with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ShawnHugging/WaymoWAN22NeuralAssets")
    
    prompt = "Screenshot"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
WaymoWAN22NeuralAssets
3.73 GB
Ctrl+K
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  • 1 contributor
History: 3 commits
ShawnHugging's picture
ShawnHugging
upload waymo trajectory diffusion 14000.pt
df59c42 verified 1 day ago
  • images
    Add 3 files 6 days ago
  • .gitattributes
    2.31 kB
    initial commit 6 days ago
  • README.md
    365 Bytes
    initial commit 6 days ago
  • ti2v_adapters_step2000.pt
    1.65 GB
    xet
    Add 3 files 6 days ago
  • ti2v_adapters_step3000.pt
    1.65 GB
    xet
    Add 3 files 6 days ago
  • traj_0014000.pt
    426 MB
    xet
    upload waymo trajectory diffusion 14000.pt 1 day ago