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@@ -59,7 +59,7 @@ 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: 2500
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  - Learning rate: 0.0001
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
@@ -104,7 +104,7 @@ You may reuse the base model text encoder for inference.
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  ### my-dataset-512
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  - Repeats: 10
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- - Total number of images: 182
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  - Total number of aspect buckets: 1
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  - Resolution: 0.262144 megapixels
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  - Cropped: False
@@ -113,7 +113,7 @@ You may reuse the base model text encoder for inference.
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  - Used for regularisation data: No
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  ### my-dataset-crop-512
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  - Repeats: 10
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- - Total number of images: 182
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  - Total number of aspect buckets: 1
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  - Resolution: 0.262144 megapixels
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  - Cropped: True
 
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  ## Training settings
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  - Training epochs: 0
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+ - Training steps: 500
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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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  ### my-dataset-512
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  - Repeats: 10
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+ - Total number of images: 1289
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  - Total number of aspect buckets: 1
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  - Resolution: 0.262144 megapixels
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  - Cropped: False
 
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  - Used for regularisation data: No
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  ### my-dataset-crop-512
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  - Repeats: 10
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+ - Total number of images: 1289
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  - Total number of aspect buckets: 1
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  - Resolution: 0.262144 megapixels
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  - Cropped: True