ossaili
/

simpletuner-lora

@@ -59,7 +59,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 - Training epochs: 0
-- Training steps: 500
 - Learning rate: 0.0005
   - Learning rate schedule: cosine_with_restarts
   - Warmup steps: 100
@@ -105,7 +105,7 @@ You may reuse the base model text encoder for inference.
 ### my-dataset-256
 - Repeats: 10
 - Total number of images: 71
-- Total number of aspect buckets: 3
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
@@ -141,7 +141,7 @@ You may reuse the base model text encoder for inference.
 ### my-dataset-768
 - Repeats: 10
 - Total number of images: 71
-- Total number of aspect buckets: 4
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -159,7 +159,7 @@ You may reuse the base model text encoder for inference.
 ### my-dataset-1024
 - Repeats: 10
 - Total number of images: 71
-- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None

 ## Training settings
 - Training epochs: 0
+- Training steps: 1000
 - Learning rate: 0.0005
   - Learning rate schedule: cosine_with_restarts
   - Warmup steps: 100
 ### my-dataset-256
 - Repeats: 10
 - Total number of images: 71
+- Total number of aspect buckets: 1
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
 ### my-dataset-768
 - Repeats: 10
 - Total number of images: 71
+- Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
 ### my-dataset-1024
 - Repeats: 10
 - Total number of images: 71
+- Total number of aspect buckets: 7
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None