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Model card auto-generated by SimpleTuner

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  1. README.md +4 -4
README.md CHANGED
@@ -60,7 +60,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 1
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- - Training steps: 2750
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  - Learning rate: 0.0001
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
@@ -144,7 +144,7 @@ You may reuse the base model text encoder for inference.
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  ### plener-768
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  - Repeats: 10
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  - Total number of images: 50
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- - Total number of aspect buckets: 4
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  - Resolution: 0.589824 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -162,7 +162,7 @@ You may reuse the base model text encoder for inference.
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  ### plener-1024
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  - Repeats: 10
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  - Total number of images: 50
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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
@@ -180,7 +180,7 @@ You may reuse the base model text encoder for inference.
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  ### plener-1440
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  - Repeats: 10
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  - Total number of images: 44
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- - Total number of aspect buckets: 6
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  - Resolution: 2.0736 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: 1
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+ - Training steps: 3000
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  - Learning rate: 0.0001
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
 
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  ### plener-768
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  - Repeats: 10
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  - Total number of images: 50
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+ - Total number of aspect buckets: 5
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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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  ### plener-1024
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  - Repeats: 10
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  - Total number of images: 50
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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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  ### plener-1440
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  - Repeats: 10
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  - Total number of images: 44
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+ - Total number of aspect buckets: 3
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  - Resolution: 2.0736 megapixels
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  - Cropped: False
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  - Crop style: None