Generate Studio Quality Realistic Photos With Kohya LoRA Stable Diffusion Training - Full Tutorial

Generate Studio Quality Realistic Photos With Kohya LoRA Stable Diffusion Training - Full Tutorial

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How to decide how many epochs when repeating count considered

22 of 35

22 of 35

How to decide how many epochs when repeating count considered

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Generate Studio Quality Realistic Photos With Kohya LoRA Stable Diffusion Training - Full Tutorial

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  1. 1 Introduction to Kohya LoRA Training and Studio Quality Realistic AI Photo Generation
  2. 2 How to download and install Kohya’s GUI to do Stable Diffusion training
  3. 3 How to install newer cuDNN dll files to increase training speed
  4. 4 How to upgrade to the latest version previously installed Kohya GUI
  5. 5 How to start Kohya GUI via cmd
  6. 6 How to set DreamBooth LoRA training parameters correctly
  7. 7 How to use previously downloaded models to do Kohya LoRA training
  8. 8 How to download Realistic Vision V2 model
  9. 9 How to do training with Stable Diffusion 2.1 512px and 768px versions
  10. 10 Instance / activation and class prompt settings
  11. 11 What kind of training dataset you should use
  12. 12 Explanation of number of repeats in Kohya DreamBooth LoRA training
  13. 13 How to set best VAE file for better image generation quality
  14. 14 How to generate classification / regularization images via Automatic1111 Web UI
  15. 15 How to prepare captions to images and when you do need image captions
  16. 16 What kind of regularization images I have used
  17. 17 How to set training folders
  18. 18 Best LoRA Training settings for minimum amount of VRAM having GPUs
  19. 19 How to save state of training and continue later
  20. 20 How to save and load Kohya Training settings
  21. 21 How to calculate 1 epoch step count when considering repeating count
  22. 22 How to decide how many epochs when repeating count considered
  23. 23 Explanation of command line parameters displayed during training
  24. 24 Caption extension changing
  25. 25 After when we will get a checkpoint and checkpoints will be saved where
  26. 26 How to use generated LoRA safetensors files in SD Automatic1111 Web UI
  27. 27 How to activate LoRA in Stable Diffusion web UI
  28. 28 How to do x/y/z checkpoint comparison of LoRA checkpoints to find best model
  29. 29 How to improve face quality of generated images with high res fix
  30. 30 18 Different training parameters experiments I have made and their results comparison
  31. 31 How to test 18 different LoRA checkpoints with x/y/z plot
  32. 32 How to properly set number of epochs and save checkpoints when reducing repeating count
  33. 33 How to use checkpoints of Kohya DyLora, LoCon, LyCORIS/LoCon, LoHa in Automatic1111 Web UI
  34. 34 How to install Torch 1.13 instead of 1.12 and newer xFormers compatible with this version
  35. 35 How to make Kohya scripts to use your second GPU instead of your primary GPU

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