Epic Web UI DreamBooth Update - New Best Settings - Stable Diffusion Training Compared on RunPods

Epic Web UI DreamBooth Update - New Best Settings - Stable Diffusion Training Compared on RunPods

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Introduction to DreamBooth new update best settings experiments

1 of 55

1 of 55

Introduction to DreamBooth new update best settings experiments

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Epic Web UI DreamBooth Update - New Best Settings - Stable Diffusion Training Compared on RunPods

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  1. 1 Introduction to DreamBooth new update best settings experiments
  2. 2 How to setup a new Pod and install DreamBooth newest update properly
  3. 3 New RunPod started time to setup and install DreamBooth
  4. 4 Install DreamBooth extension manually and fix errors
  5. 5 Starting first experiment test0 - setup of settings
  6. 6 Best DreamBooth settings for 12GB VRAM having GPUs
  7. 7 Setting and starting second experiment test1 DEIS Noise Scheduler
  8. 8 Test2 Unfreeze Model
  9. 9 Test3 Lion Optimizer
  10. 10 Test4 Stable Diffusion Offset Noise
  11. 11 Test5 Freeze Clip Normalization Layers DreamBooth
  12. 12 Test6 Use EMA + Use EMA for Prediction
  13. 13 Test7 Use EMA + Use EMA Weights for Inference
  14. 14 Test8 Use EMA only
  15. 15 Solution of configuration index out of range Web UI error
  16. 16 Test9 Don't use xformers - default memory attention and fp16
  17. 17 How to add more disk space to your existing RunPod
  18. 18 xformers related bug error
  19. 19 How to continue DreamBooth training if an error occurs or for any reason halted
  20. 20 All tests have been completed time to check their training samples
  21. 21 Test0 training samples - previously known best settings for 12GB VRAM
  22. 22 Test1 training samples - DEIS Noise Scheduler
  23. 23 Test2 training samples
  24. 24 Test3 training samples
  25. 25 Test4 training samples
  26. 26 Test5 training samples
  27. 27 Test6 training samples
  28. 28 Test7 training samples
  29. 29 Test8 training samples
  30. 30 Test9 training samples
  31. 31 Finding a good seed to compare all checkpoints within each trained model
  32. 32 What seed and prompt I used to compare checkpoints
  33. 33 What is the logic of starting seed when using batch image generation
  34. 34 How to use x/y/z plot to compare checkpoints to find best trained model
  35. 35 Where to find x/y/z plot generated grid image file
  36. 36 Comparing generated grid files of all experiments
  37. 37 Test0 Checkpoints Grid
  38. 38 Test1 Checkpoints Grid DEIS Noise Scheduler
  39. 39 Test2 Checkpoints Grid
  40. 40 Test3 Checkpoints Grid
  41. 41 Test4 Checkpoints Grid
  42. 42 Test5 Checkpoints Grid
  43. 43 Test6 Checkpoints Grid
  44. 44 Test7 Checkpoints Grid
  45. 45 Explanation of overtraining by a comparison
  46. 46 Test8 Checkpoints Grid
  47. 47 Test9 Checkpoints Grid
  48. 48 How to download all decided best checkpoints via runpodctl
  49. 49 What is RunPod connect to web terminal and how to use it when jupyter connection is not available
  50. 50 Where to put downloaded safetensors model files
  51. 51 Using x/y/z plot do conduct final comparison experiment on my local web UI
  52. 52 Test7 model file size is smaller than others
  53. 53 Each model file sizes
  54. 54 Comparing all of the experiments test0 vs test1 vs test2 ...
  55. 55 Ending Speech

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