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Model card auto-generated by SimpleTuner

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  1. README.md +3 -3
README.md CHANGED
@@ -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: 500
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  - Learning rate: 8e-05
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
@@ -85,7 +85,7 @@ You may reuse the base model text encoder for inference.
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  ### dataset-1024
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  - Repeats: 10
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- - Total number of images: 41
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  - Total number of aspect buckets: 1
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
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  - Used for regularisation data: No
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  ### dataset-crop-1024
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  - Repeats: 10
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- - Total number of images: 41
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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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  ## Training settings
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  - Training epochs: 0
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+ - Training steps: 1000
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  - Learning rate: 8e-05
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  - Learning rate schedule: polynomial
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  - Warmup steps: 100
 
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  ### dataset-1024
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  - Repeats: 10
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+ - Total number of images: 53
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  - Total number of aspect buckets: 1
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
 
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  - Used for regularisation data: No
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  ### dataset-crop-1024
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  - Repeats: 10
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+ - Total number of images: 53
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  - Total number of aspect buckets: 1
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  - Resolution: 1.048576 megapixels
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  - Cropped: True