Update README.md

README.md

@@ -1,4 +1,4 @@
-This is a training of a public LoRA style (2 seperate training each on 4x A6000).
+This is a training of a public LoRA style (4 seperate training each on 4x A6000).
 
 Experimenting captions vs non-captions. So we will see which yields best results for style training on FLUX.
 
@@ -23,11 +23,37 @@ The no caption dataset uses only ohwx 3d render as caption
 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/6345bd89fe134dfd7a0dba40/jK75d8i1x5hAHSYSsJNBd.png" alt="Training configuration" style="max-height: 500px; width: auto;">
 
-Total step count is being 500 * 114 / 4 (4x GPU - batch size 1) = 14250
 
-Taking 37 hours currently if I don't terminate early
+## Inconsistent Dataset Training
+
+This is the first training I made with the below dataset
+
+[Inconsistent-Training-Dataset-Images-Grid.jpg](https://huggingface.co/MonsterMMORPG/3D-Cartoon-Style-FLUX/resolve/main/Inconsistent-Training-Dataset-Images-Grid.jpg)
+
+When you pay attention to the grid image above shared, you will see that the dataset is not consistent
+
+It has total 114 images 
+
+This training total step count was 500 * 114 / 4 (4x GPU - batch size 1) = 14250
+
+It took like 37 hours on 4x RTX A6000 GPU with slow config - faster config would take like half
+
+There were 2 trainings made with this dataset. Epoch 500 checkpoints are named as below
+
+SECourses_Style_Inconsistent_DATASET_NO_Captions.safetensors
+SECourses_Style_Inconsistent_DATASET_With_Captions.safetensors
+
+Their checkpoints are saved in below folders
+
+Training-Checkpoints-NO-Captions
+Training-Checkpoints-With-Captions
+
+Its grid results are shared below
+
+https://huggingface.co/MonsterMMORPG/3D-Cartoon-Style-FLUX/resolve/main/Inconsistent-Training-Dataset-Results-Grid-26100x23700px.jpg
+
+When you pay attention to above image you will see that it has inconsistent results
 
-Will save a checkpoint once every 25 epochs
 
 1 : https://youtu.be/bupRePUOA18