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Model card auto-generated by SimpleTuner

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  1. README.md +4 -4
README.md CHANGED
@@ -329,7 +329,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 2
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- - Training steps: 295000
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  - Learning rate: 5e-05
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  - Learning rate schedule: constant
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  - Warmup steps: 500
@@ -377,7 +377,7 @@ You may reuse the base model text encoder for inference.
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  ### text-1mp
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  - Repeats: 100
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  - Total number of images: ~13221
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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
@@ -494,7 +494,7 @@ You may reuse the base model text encoder for inference.
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  ### signs-1440
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  - Repeats: 100
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  - Total number of images: ~423
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- - Total number of aspect buckets: 25
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  - Resolution: 2.0736 megapixels
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  - Cropped: False
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  - Crop style: None
@@ -530,7 +530,7 @@ You may reuse the base model text encoder for inference.
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  ### cinemamix-1mp-1440
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  - Repeats: 0
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  - Total number of images: ~7425
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- - Total number of aspect buckets: 5
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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
330
 
331
  - Training epochs: 2
332
+ - Training steps: 296000
333
  - Learning rate: 5e-05
334
  - Learning rate schedule: constant
335
  - Warmup steps: 500
 
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  ### text-1mp
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  - Repeats: 100
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  - Total number of images: ~13221
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+ - Total number of aspect buckets: 9
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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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  ### signs-1440
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  - Repeats: 100
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  - Total number of images: ~423
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+ - Total number of aspect buckets: 1
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  - Resolution: 2.0736 megapixels
499
  - Cropped: False
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  - Crop style: None
 
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  ### cinemamix-1mp-1440
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  - Repeats: 0
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  - Total number of images: ~7425
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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