update training defaults

TODO.md

@@ -20,11 +20,16 @@ Need to study more to determine best out-of-the-box settings:
 - Gradient accumulation
 - Dynamic learning-rates
 
+## SDAPI
+
+- Support TLS
+- Support auth
+
 # Ideas
 
 Things I'm looking into...
 
-# Automatic
+## Automatic
 
 Stuff to be fixed...
 
@@ -52,32 +57,15 @@ Tech that can be integrated as part of the core workflow...
   - <https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2670#discussioncomment-4372336>
   - <https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/2670#discussioncomment-4582025>
 
-# Experimental
+## Experimental
 
 Cool stuff that is not integrated anywhere...
 
-- Bunch of stuff:<https://pharmapsychotic.com/tools.html>
 - [TensorRT](https://www.photoroom.com/tech/stable-diffusion-25-percent-faster-and-save-seconds/)
 - [KLMC2 Animation](https://colab.research.google.com/github/dmarx/notebooks/blob/main/Stable_Diffusion_KLMC2_Animation.ipynb)
 - [Disco Diffusion](https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb)
 - [Video Killed the Radio Star](https://colab.research.google.com/github/dmarx/video-killed-the-radio-star/blob/main/Video_Killed_The_Radio_Star_Defusion.ipynb)
-
-# SDAPI
-
-- Support TLS
-- Support auth
-
-# External
-
-Ideas that can be value-added to core tech...
-
+- Bunch of stuff:<https://pharmapsychotic.com/tools.html>
 - Prevalent colors to interrogate
 - Auto-Sort inputs by face recognition
 - Use semantic segmentation to remove background from inputs
-- Auto-filter training inputs based on blur  
-  <https://pyimagesearch.com/2020/06/15/opencv-fast-fourier-transform-fft-for-blur-detection-in-images-and-video-streams/>
-
-
-> mix-gtm-ultimateblend-v1.safetensors
-> hentaimodel-grapefruit.v23.safetensors
-> mix-hassanblend-v15.ckpt

cli/train.md

@@ -23,3 +23,25 @@
 ## Prompt
 
     a medium shot photo of "dreamkelly", extremely detailed 8k wallpaper, intricate, high detail, dramatic, modelshoot style
+
+
+## Gen
+
+> abby  ana  buffytyler  cassie  dreamkelly  hanna  katy  laurentaylor  lee  leila  linsiyee  marcel  mia  rebeccagivens  sahar  video  vlado
+
+train.py --batch 2 --name ana --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name abby --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name buffytyler --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name cassie --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name dreamkelly --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name hanna --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name katy --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name laurentaylor --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name leila --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name linsiyee --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name mia --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name rebeccagivens --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name sahar --src ~/generative/Input/ana/ --init person,woman,girl,model
+train.py --batch 2 --name lee --src ~/generative/Input/ana/ --init person,man
+train.py --batch 2 --name marcel --src ~/generative/Input/ana/ --init person,man
+train.py --batch 2 --name vlado --src ~/generative/Input/ana/ --init person,man

cli/train.py

@@ -366,7 +366,7 @@ async def main():
     parser.add_argument("--vectors", type = int, default = -1, required = False, help = "number of vectors per token, default: dynamic based on number of input images")
     parser.add_argument("--batch", type = int, default = 1, required = False, help = "batch size, default: %(default)s")
     parser.add_argument("--rate", type = str, default = "", required = False, help = "learning rate, default: dynamic")
-    parser.add_argument("--rstart", type = float, default = 0.02, required = False, help = "starting learn rate if using dynamic rate, default: %(default)s")
+    parser.add_argument("--rstart", type = float, default = 0.01, required = False, help = "starting learn rate if using dynamic rate, default: %(default)s")
     parser.add_argument("--rend", type = float, default = 0.0001, required = False, help = "ending learn rate if using dynamic rate, default: %(default)s")
     parser.add_argument("--rdescend", type = float, default = 2, required = False, help = "learn rate descend power when using dynamic rate, default: %(default)s")
     parser.add_argument("--grad", type = int, default = 20, required = False, help = "accumulate gradient over n images, default: : %(default)s")