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omnimem
/
long_rolling_plain_from_ode_init

Text-to-Video
Diffusers
Safetensors
t2v
omnimem
wan
video-generation
long-video
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use omnimem/long_rolling_plain_from_ode_init with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("omnimem/long_rolling_plain_from_ode_init", 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
long_rolling_plain_from_ode_init
5.68 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
lin-zhao-resoLve's picture
lin-zhao-resoLve
Upload step 1500 EMA long rolling plain checkpoint
9be6b2c verified about 18 hours ago
  • .gitattributes
    1.52 kB
    initial commit about 18 hours ago
  • README.md
    1.76 kB
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago
  • SHA256SUMS
    501 Bytes
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago
  • config.json
    713 Bytes
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago
  • diffusion_pytorch_model-00001-of-00002.safetensors
    5.37 GB
    xet
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago
  • diffusion_pytorch_model-00002-of-00002.safetensors
    317 MB
    xet
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago
  • diffusion_pytorch_model.safetensors.index.json
    78.5 kB
    Upload step 1500 EMA long rolling plain checkpoint about 18 hours ago