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Model card auto-generated by SimpleTuner

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  1. README.md +4 -4
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@@ -58,8 +58,8 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 0
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- - Training steps: 1000
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  - Learning rate: 0.0005
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  - Learning rate schedule: cosine_with_restarts
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  - Warmup steps: 100
@@ -105,7 +105,7 @@ You may reuse the base model text encoder for inference.
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  ### my-dataset-256
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  - Repeats: 10
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  - Total number of images: 71
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- - Total number of aspect buckets: 1
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  - Resolution: 0.065536 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -177,7 +177,7 @@ You may reuse the base model text encoder for inference.
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  ### my-dataset-1440
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  - Repeats: 10
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  - Total number of images: 71
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- - Total number of aspect buckets: 4
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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: 1500
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  - Learning rate: 0.0005
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  - Learning rate schedule: cosine_with_restarts
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  - Warmup steps: 100
 
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  ### my-dataset-256
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  - Repeats: 10
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  - Total number of images: 71
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+ - Total number of aspect buckets: 3
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  - Resolution: 0.065536 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ### my-dataset-1440
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  - Repeats: 10
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  - Total number of images: 71
180
+ - Total number of aspect buckets: 1
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  - Resolution: 2.0736 megapixels
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  - Cropped: False
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  - Crop style: None