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Model card auto-generated by SimpleTuner

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  1. README.md +4 -4
README.md CHANGED
@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 3
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- - Training steps: 4200
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  - Learning rate: 0.0004
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  - Learning rate schedule: polynomial
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  - Warmup steps: 200
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
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  ### ab-768
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  - Repeats: 8
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  - Total number of images: 74
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- - Total number of aspect buckets: 1
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  - Resolution: 0.589824 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -158,7 +158,7 @@ You may reuse the base model text encoder for inference.
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  ### ab-1024
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  - Repeats: 5
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  - Total number of images: 74
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- - Total number of aspect buckets: 7
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -167,7 +167,7 @@ You may reuse the base model text encoder for inference.
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  ### ab-1536
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  - Repeats: 2
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  - Total number of images: 73
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- - Total number of aspect buckets: 7
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  - Resolution: 2.359296 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ## Training settings
95
 
96
  - Training epochs: 3
97
+ - Training steps: 4400
98
  - Learning rate: 0.0004
99
  - Learning rate schedule: polynomial
100
  - Warmup steps: 200
 
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  ### ab-768
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  - Repeats: 8
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  - Total number of images: 74
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+ - Total number of aspect buckets: 9
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  - Resolution: 0.589824 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ### ab-1024
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  - Repeats: 5
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  - Total number of images: 74
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+ - Total number of aspect buckets: 11
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ### ab-1536
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  - Repeats: 2
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  - Total number of images: 73
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+ - Total number of aspect buckets: 16
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  - Resolution: 2.359296 megapixels
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  - Cropped: False
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  - Crop style: None