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How to close initially started Web UI instance on RunPod Stable Diffusion template
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Classroom Contents
Stable Diffusion DreamBooth Guide - Optimal Classification Images Count Comparison Test
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- 1 Introduction to Best Settings of DreamBooth training experiment
- 2 How to close initially started Web UI instance on RunPod Stable Diffusion template
- 3 Which RunPod machine you should pick for DreamBooth training and why
- 4 The used versions in this experiment such as Automatic1111 version, xformers version, DreamBooth version
- 5 Best DreamBooth settings for 0 classification images
- 6 How to continue DreamBooth training from a certain checkpoint
- 7 Used command line arguments for best DreamBooth training
- 8 Used extensions list for best DreamBooth training
- 9 Starting to set parameters for 0 classification images - equal to fine tuning
- 10 Used training dataset and what dataset features you need
- 11 Setting concepts tab of DreamBooth training
- 12 When you should use FileWords and why you should use for fine tuning and how to do fine tuning
- 13 Best training setup parameters for DreamBooth training when using classification images
- 14 How to calculate number of steps for each epoch
- 15 All trainings are completed
- 16 Comparison of sample and sanity sample images generated during training
- 17 Analysis of 0x classification samples
- 18 Analysis of 1x classification samples
- 19 Analysis of 2x classification samples
- 20 Analysis of 5x classification samples
- 21 Analysis of 10x classification samples
- 22 Analysis of 25x classification samples
- 23 Analysis of 50x classification samples
- 24 Analysis of 100x classification samples
- 25 Analysis of 100x classification samples
- 26 Comparing each checkpoint in all of the trained models
- 27 How to use x/y/z plot to check different training checkpoints
- 28 All grids are generated and how did i download them
- 29 Analysis of 0x classification x/y/z grid images
- 30 Analysis of 1x classification x/y/z grid images
- 31 Analysis of 2x classification x/y/z grid images
- 32 Analysis of 5x classification x/y/z grid images
- 33 Analysis of 10x classification x/y/z grid images
- 34 Analysis of 25x classification x/y/z grid images
- 35 Analysis of 50x classification x/y/z grid images
- 36 Analysis of 100x classification x/y/z grid images
- 37 Analysis of 100x classification x/y/z grid images
- 38 Summary of the experiment
- 39 Very important speech part
