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README.md

@@ -50,8 +50,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 0
-- Training steps: 300
+- Training epochs: 2
+- Training steps: 1200
 - Learning rate: 0.0001
   - Learning rate schedule: constant
   - Warmup steps: 0
@@ -81,7 +81,7 @@ You may reuse the base model text encoder for inference.
 ### emi-256
 - Repeats: 10
 - Total number of images: 10
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 2
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
@@ -99,7 +99,7 @@ You may reuse the base model text encoder for inference.
 ### emi-512
 - Repeats: 10
 - Total number of images: 10
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 2
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -117,7 +117,7 @@ You may reuse the base model text encoder for inference.
 ### emi-768
 - Repeats: 10
 - Total number of images: 10
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 2
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -153,7 +153,7 @@ You may reuse the base model text encoder for inference.
 ### emi-1440
 - Repeats: 10
 - Total number of images: 10
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 3
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None