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  1. README.md +4 -4
README.md CHANGED
@@ -99,7 +99,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 4
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- - Training steps: 8500
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  - Learning rate: 0.0001
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  - Learning rate schedule: constant
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  - Warmup steps: 100
@@ -154,7 +154,7 @@ You may reuse the base model text encoder for inference.
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  ### dore-background-768
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  - Repeats: 22
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  - Total number of images: 48
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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
@@ -163,7 +163,7 @@ You may reuse the base model text encoder for inference.
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  ### dore-background-1024
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  - Repeats: 11
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  - Total number of images: 48
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- - Total number of aspect buckets: 5
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  - Resolution: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -172,7 +172,7 @@ You may reuse the base model text encoder for inference.
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  ### dore-background-1536
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  - Repeats: 5
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  - Total number of images: 46
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- - Total number of aspect buckets: 1
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  - Resolution: 2.359296 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ## Training settings
100
 
101
  - Training epochs: 4
102
+ - Training steps: 8750
103
  - Learning rate: 0.0001
104
  - Learning rate schedule: constant
105
  - Warmup steps: 100
 
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  ### dore-background-768
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  - Repeats: 22
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  - Total number of images: 48
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+ - Total number of aspect buckets: 7
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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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  ### dore-background-1024
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  - Repeats: 11
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  - Total number of images: 48
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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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  ### dore-background-1536
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  - Repeats: 5
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  - Total number of images: 46
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+ - Total number of aspect buckets: 2
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  - Resolution: 2.359296 megapixels
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  - Cropped: False
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  - Crop style: None