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Runware
/
Video-Upscale

Diffusers
Safetensors
UpscaleAVideoPipeline
Model card Files Files and versions
xet
Community
12

Instructions to use Runware/Video-Upscale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Runware/Video-Upscale with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Runware/Video-Upscale", 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
Video-Upscale
9.19 GB
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  • 4 contributors
History: 19 commits
D1-3105's picture
D1-3105
Delete vae_3d
e04ebc1 verified 10 months ago
  • low_res_scheduler
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  • propagator
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  • scheduler
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  • text_encoder
    Adding `safetensors` variant of this model (#2) 11 months ago
  • tokenizer
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  • unet
    Rename unet/pytorch_model.bin to unet/diffusion_pytorch_model.bin (#10) 11 months ago
  • vae
    Delete vae/vae_3d.safetensors (#12) 11 months ago
  • .DS_Store
    8.2 kB
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  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • model_index.json
    441 Bytes
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