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Model card auto-generated by SimpleTuner

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  1. README.md +7 -7
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@@ -69,8 +69,8 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 9
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- - Training steps: 1500
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  - Learning rate: 0.0001
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  - Max grad norm: 1.0
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  - Effective batch size: 1
@@ -110,13 +110,13 @@ You may reuse the base model text encoder for inference.
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  ## Datasets
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- ### my-dataset-1024-crop
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- - Repeats: 10
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- - Total number of images: 15
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  - Total number of aspect buckets: 1
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- - Resolution: 1.048576 megapixels
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  - Cropped: True
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- - Crop style: random
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  - Crop aspect: square
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  ## Training settings
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+ - Training epochs: 38
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+ - Training steps: 500
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  - Learning rate: 0.0001
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  - Max grad norm: 1.0
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  - Effective batch size: 1
 
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  ## Datasets
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+ ### Wukong
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+ - Repeats: 0
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+ - Total number of images: 13
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  - Total number of aspect buckets: 1
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+ - Resolution: 0.589824 megapixels
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  - Cropped: True
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+ - Crop style: center
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  - Crop aspect: square
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