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exact-railcar
/
wan

Diffusers
Safetensors
WanVACEPipeline
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use exact-railcar/wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use exact-railcar/wan with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("exact-railcar/wan", torch_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
wan
26.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
exact-railcar's picture
exact-railcar
Create model_index.json
a382dd0 verified 6 days ago
  • scheduler
    Rename scheduler_config.json to scheduler/scheduler_config.json 6 days ago
  • text_encoder
    Upload text_encoder/model.safetensors with huggingface_hub 6 days ago
  • tokenizer
    Upload tokenizer_config.json 6 days ago
  • transformer
    Upload transformer/diffusion_pytorch_model.safetensors with huggingface_hub 6 days ago
  • transformer_2
    Upload transformer_2/diffusion_pytorch_model.safetensors with huggingface_hub 6 days ago
  • vae
    Upload diffusion_pytorch_model.safetensors 6 days ago
  • .gitattributes
    1.58 kB
    Upload tokenizer.json 6 days ago
  • model_index.json
    509 Bytes
    Create model_index.json 6 days ago