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README.md

@@ -135,7 +135,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 2
-- Training steps: 2100
+- Training steps: 2300
 - Learning rate: 1e-05
 - Max grad norm: 0.01
 - Effective batch size: 3
@@ -176,7 +176,7 @@ You may reuse the base model text encoder for inference.
 ### reg-512
 - Repeats: 0
 - Total number of images: ~288
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -185,7 +185,7 @@ You may reuse the base model text encoder for inference.
 ### reg-1024
 - Repeats: 0
 - Total number of images: ~291
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -203,7 +203,7 @@ You may reuse the base model text encoder for inference.
 ### furkan-cropped-512
 - Repeats: 30
 - Total number of images: ~18
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 3
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None