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Model card auto-generated by SimpleTuner

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  1. README.md +5 -5
README.md CHANGED
@@ -93,8 +93,8 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 4
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- - Training steps: 7000
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  - Learning rate: 0.0006
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
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  ### marco-background-768
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  - Repeats: 22
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  - Total number of images: 34
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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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  ### marco-background-1024
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  - Repeats: 11
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  - Total number of images: 34
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- - Total number of aspect buckets: 3
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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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  ### marco-background-1536
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  - Repeats: 5
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  - Total number of images: 34
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- - Total number of aspect buckets: 1
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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
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+ - Training epochs: 5
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+ - Training steps: 7250
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  - Learning rate: 0.0006
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
 
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  ### marco-background-768
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  - Repeats: 22
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  - Total number of images: 34
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+ - Total number of aspect buckets: 3
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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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  ### marco-background-1024
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  - Repeats: 11
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  - Total number of images: 34
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+ - Total number of aspect buckets: 2
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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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  ### marco-background-1536
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  - Repeats: 5
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  - Total number of images: 34
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+ - Total number of aspect buckets: 3
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  - Resolution: 2.359296 megapixels
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  - Cropped: False
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  - Crop style: None