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fal
/
Flux-Vision-Upscaler-SeedVR2-FP16-FlashPack

Video-to-Video
Diffusers
art
Model card Files Files and versions
xet
Community

Instructions to use fal/Flux-Vision-Upscaler-SeedVR2-FP16-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fal/Flux-Vision-Upscaler-SeedVR2-FP16-FlashPack with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fal/Flux-Vision-Upscaler-SeedVR2-FP16-FlashPack", 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
Flux-Vision-Upscaler-SeedVR2-FP16-FlashPack
17 GB
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  • 1 contributor
History: 4 commits
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Gencarmo
FlashPack conversion manifest for numz/SeedVR2_comfyUI@09ced71023636e9bc8cdf9cdecfb2625d1e691e8
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  • .gitattributes
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  • README.md
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  • config.json
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  • flashpack_conversion.json
    674 Bytes
    FlashPack conversion manifest for numz/SeedVR2_comfyUI@09ced71023636e9bc8cdf9cdecfb2625d1e691e8 3 days ago