Model card auto-generated by SimpleTuner

README.md

@@ -95,7 +95,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 1100
+- Training steps: 1200
 - Learning rate: 0.0006
 - Max grad norm: 0.1
 - Effective batch size: 2
@@ -138,7 +138,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-combined-512
 - Repeats: 15
 - 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
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-combined-1024
 - Repeats: 5
 - Total number of images: 74
-- Total number of aspect buckets: 16
+- Total number of aspect buckets: 3
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -165,7 +165,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-oil-1536
 - Repeats: 5
 - Total number of images: 73
-- Total number of aspect buckets: 13
+- Total number of aspect buckets: 24
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None