Model card auto-generated by SimpleTuner

README.md

@@ -330,7 +330,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 10
-- Training steps: 115000
+- Training steps: 116000
 - Learning rate: 0.0001
 - Max grad norm: 0.01
 - Effective batch size: 12
@@ -375,7 +375,7 @@ You may reuse the base model text encoder for inference.
 ### signs
 - Repeats: 0
 - Total number of images: ~420
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -384,7 +384,7 @@ You may reuse the base model text encoder for inference.
 ### moviecollection
 - Repeats: 0
 - Total number of images: ~1983
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -402,7 +402,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock
 - Repeats: 0
 - Total number of images: ~21111
-- Total number of aspect buckets: 24
+- Total number of aspect buckets: 23
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -420,7 +420,7 @@ You may reuse the base model text encoder for inference.
 ### anatomy
 - Repeats: 5
 - Total number of images: ~16440
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 2
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None