6 comments

  • kodablah26 minutes ago
    Am curious how this compares perf/quality wise with FastVideo's FastH3 trim/omni which I have been using pretty well with a basic laptop NVidia card (e.g. 5s 480p video w/ audio in 90s).
  • swiftcoder1 hour ago
    This is very cool, I wish they would make quality+time comparisons between the various quantisations though
    • amelius5 minutes ago
      Yeah this is only meaningful if you can compare quality at least.<p>Otherwise, it&#x27;s just like saying: we compressed a JPEG file to 50% of its size using some compression level and we didn&#x27;t check what it looks like.
    • Reubend1 hour ago
      Seconded, I&#x27;d like to see a head to head comparison to see how the quant loks vs the original
  • ricardobeat1 hour ago
    Their product page has sample videos: <a href="https:&#x2F;&#x2F;www.videorebirth.com&#x2F;lp&#x2F;hyperflow-flash" rel="nofollow">https:&#x2F;&#x2F;www.videorebirth.com&#x2F;lp&#x2F;hyperflow-flash</a>
  • xrd2 hours ago
    I see references to comfyui in the readme. Is that the easiest way to run it? I&#x27;ve always found it a bit cumbersome to use and wish I had something like a simple CLI tool to use it like llama.cpp. Perhaps that&#x27;s not possible with a video diffusion model?
    • syntaxing1 hour ago
      I use stable diffusion cpp with a LLM driving it using CLI. It’s been the quickest way for me to run new diffusion models and require near zero skills but the results come out great.
      • _boffin_58 minutes ago
        care to go more into your loop that you&#x27;ve setup
    • swiftcoder1 hour ago
      They also have references to stable-diffusion.cpp, which is probably the closest analogue to llama.cpp in this space
  • blovett801 hour ago
    [flagged]
  • jiant4 hours ago
    [flagged]