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yslan
/
Track4D-2026

Video-to-Video
Diffusers
video
tracking
3d
wan
Model card Files Files and versions
xet
Community

Instructions to use yslan/Track4D-2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yslan/Track4D-2026 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yslan/Track4D-2026", 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
Track4D-2026 / ncmv
614 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
yslan's picture
yslan
Upload NCMV Wan2.1 14B step-4000
8c9ceda verified 2 months ago
  • wan21_t2v_14b_512x512x49_lora_r64_step4000.safetensors
    614 MB
    xet
    Upload NCMV Wan2.1 14B step-4000 2 months ago