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kandinskylab
/
Kandinsky-6.0-VSR-5s-Diffusers

Any-to-Any
Diffusers
Safetensors
Kandinsky6SRPipeline
video
video-super-resolution
kandinsky
Model card Files Files and versions
xet
Community
1

Instructions to use kandinskylab/Kandinsky-6.0-VSR-5s-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use kandinskylab/Kandinsky-6.0-VSR-5s-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kandinskylab/Kandinsky-6.0-VSR-5s-Diffusers", 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
Kandinsky-6.0-VSR-5s-Diffusers / transformer
3.19 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 3 commits
leffff's picture
leffff
Claude Sonnet 5
Restore the flow-matching transformer: 64-wide output head and scheduler_scale 5.0
6e487aa verified 29 days ago
  • config.json
    1.22 kB
    Restore the flow-matching transformer: 64-wide output head and scheduler_scale 5.0 29 days ago
  • diffusion_pytorch_model.safetensors
    3.19 GB
    xet
    Restore the flow-matching transformer: 64-wide output head and scheduler_scale 5.0 29 days ago