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README.md

@@ -77,12 +77,12 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 33
-- Training steps: 74
-- Learning rate: 0.0003
+- Training epochs: 0
+- Training steps: 100
+- Learning rate: 0.0008
 - Effective batch size: 16
-  - Micro-batch size: 1
-  - Gradient accumulation steps: 16
+  - Micro-batch size: 4
+  - Gradient accumulation steps: 4
   - Number of GPUs: 1
 - Prediction type: flow-matching
 - Rescaled betas zero SNR: False
@@ -99,7 +99,7 @@ You may reuse the base model text encoder for inference.
 ## Datasets
 
 ### default_dataset_arb
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 4
 - Total number of aspect buckets: 3
 - Resolution: 1.5 megapixels
@@ -107,7 +107,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: None
 - Crop aspect: None
 ### default_dataset
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 3
 - Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
@@ -115,7 +115,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_512
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 4
 - Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
@@ -123,7 +123,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_576
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 4
 - Total number of aspect buckets: 1
 - Resolution: 0.331776 megapixels
@@ -131,7 +131,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_640
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 4
 - Total number of aspect buckets: 1
 - Resolution: 0.4096 megapixels
@@ -139,7 +139,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_704
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 4
 - Total number of aspect buckets: 1
 - Resolution: 0.495616 megapixels
@@ -147,7 +147,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_768
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 3
 - Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
@@ -155,7 +155,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_832
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 3
 - Total number of aspect buckets: 1
 - Resolution: 0.692224 megapixels
@@ -163,7 +163,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_896
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 3
 - Total number of aspect buckets: 1
 - Resolution: 0.802816 megapixels
@@ -171,7 +171,7 @@ You may reuse the base model text encoder for inference.
 - Crop style: random
 - Crop aspect: square
 ### default_dataset_960
-- Repeats: 0
+- Repeats: 100
 - Total number of images: 3
 - Total number of aspect buckets: 1
 - Resolution: 0.9216 megapixels