Model card auto-generated by SimpleTuner

README.md

@@ -105,7 +105,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 4
-- Training steps: 9900
+- Training steps: 10000
 - Learning rate: 0.0001
 - Max grad norm: 0.1
 - Effective batch size: 3
@@ -175,7 +175,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-oil-1536
 - Repeats: 4
 - Total number of images: 49
-- Total number of aspect buckets: 8
+- Total number of aspect buckets: 6
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None
@@ -184,7 +184,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-512
 - Repeats: 11
 - Total number of images: 74
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-768
 - Repeats: 11
 - Total number of images: 74
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 14
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -202,7 +202,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-1024
 - Repeats: 5
 - Total number of images: 74
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 19
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None