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README.md

@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 200
+- Training steps: 300
 - Learning rate: 0.0001
 - Max grad norm: 0.01
 - Effective batch size: 3
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### cheechandchong-cropped-512
 - Repeats: 10
 - Total number of images: ~24
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 5
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -202,7 +202,7 @@ You may reuse the base model text encoder for inference.
 ### cheechandchong-uncropped-1024
 - Repeats: 10
 - Total number of images: ~24
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 7
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -211,7 +211,7 @@ You may reuse the base model text encoder for inference.
 ### cheechandchong-cropped-1024
 - Repeats: 10
 - Total number of images: ~24
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None