RTX 3090 vs RTX 3060 Ultimate Showdown for Stable Diffusion, ML, AI & Video Rendering Performance

RTX 3090 vs RTX 3060 Ultimate Showdown for Stable Diffusion, ML, AI & Video Rendering Performance

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Used gist file explanation in this video

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5 of 37

Used gist file explanation in this video

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RTX 3090 vs RTX 3060 Ultimate Showdown for Stable Diffusion, ML, AI & Video Rendering Performance

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  1. 1 Box opening of Gainward #RTX3090 Ti and Cougar #GEX1050
  2. 2 Installation of RTX 3090 GPU and Cougar GEX1050 PSU into the computer case
  3. 3 Final view of the installed case
  4. 4 CPU, Ram and other hardware overview of the used PC
  5. 5 Used gist file explanation in this video
  6. 6 How to install latest Nvidia GeForce driver
  7. 7 What is the difference between Nvidia Game Ready drivers and Studio drivers?
  8. 8 OpenAI Whisper speech to text transcription benchmarks
  9. 9 How to verify installed and used PyTorch, CUDA and cuDNN versions via my custom script
  10. 10 How to update Whisper to latest version
  11. 11 Testing command used for Whisper
  12. 12 Demo of Whisper transcription benchmarks
  13. 13 How to install Torch version 2 on main Python installation
  14. 14 How to install cuNDD latest DLL files
  15. 15 Benchmark results of all Whisper tests
  16. 16 When RTX 3090 and #RTX3060 transcribing speech at the same time
  17. 17 4K Video rendering tests in Davinci Resolve
  18. 18 How to change rendering GPU in Davinci Resolve
  19. 19 Rendering results of Davinci Resolve benchmarks
  20. 20 Bug in Davinci Resolve, RTX 3060 is not used
  21. 21 Where to download FFmpeg with hardware acceleration - CUDA and GPU support
  22. 22 How to set default FFmpeg via environment variables path
  23. 23 Testing setup of the FFmpeg 8k video rendering
  24. 24 Demo demonstration of FFmpeg benchmark
  25. 25 Final results of FFmpeg benchmarks on both RTX 3060 and RTX 3090
  26. 26 Starting to benchmark Stable Diffusion via Automatic1111 Web UI
  27. 27 How to see used Torch, CUDA and cuDNN DLL version of your Web UI
  28. 28 How to update Web UI xFormers version
  29. 29 it/s iteration per second testing
  30. 30 Demo of testing methodologies that will be used for Stable Diffusion benchmarks
  31. 31 Starting result analysis of Stable Diffusion benchmarks Torch 1.13
  32. 32 Used DreamBooth training settings for benchmarking
  33. 33 Stable Diffusion benchmarks with Torch 2.0
  34. 34 How to make sure that Web UI uses second device in all cases
  35. 35 opt-sdp-attention benchmark results with Stable Diffusion
  36. 36 The discovery I made about optimizers used in Stable Diffusion Web UI
  37. 37 Solution for Stable Diffusion NansException : A Tensor with all NaNs in Unet

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