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Model card auto-generated by SimpleTuner

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@@ -330,8 +330,8 @@ 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: 14000
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- - Learning rate: 1.0
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  - Learning rate schedule: cosine
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  - Warmup steps: 400000
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  - Max grad norm: 0.0
@@ -341,7 +341,7 @@ You may reuse the base model text encoder for inference.
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  - Number of GPUs: 3
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  - Gradient checkpointing: True
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  - Prediction type: flow-matching (extra parameters=['shift=3.0'])
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- - Optimizer: prodigyd0=1e-5
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  - Trainable parameter precision: Pure BF16
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  - Caption dropout probability: 10.0%
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@@ -375,91 +375,10 @@ You may reuse the base model text encoder for inference.
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  ## Datasets
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- ### comicstrips
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- - Repeats: 50
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- - Total number of images: ~1470
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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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- - Crop style: None
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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### normalnudes
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- - Repeats: 50
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- - Total number of images: ~1278
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- - Total number of aspect buckets: 32
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### nsfw-1024
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- - Repeats: 50
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- - Total number of images: ~10830
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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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- - Crop style: None
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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### yoga
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- - Repeats: 50
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- - Total number of images: ~3642
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### text-1mp-v2
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  - Repeats: 100
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- - Total number of images: ~13221
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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
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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### signs-v2
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- - Repeats: 150
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- - Total number of images: ~420
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- - Total number of aspect buckets: 8
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### moviecollection-v2
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- - Repeats: 0
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- - Total number of images: ~1983
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- - Total number of aspect buckets: 34
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### bookcovers-v2
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- - Repeats: 0
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- - Total number of images: ~927
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- - Total number of aspect buckets: 26
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### shutterstock-v2
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- - Repeats: 0
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- - Total number of images: ~21111
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- - Total number of aspect buckets: 20
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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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- - Crop aspect: None
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- - Used for regularisation data: No
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- ### cinemamix-1mp-v2
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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: 1.048576 megapixels
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  - Cropped: False
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  - Crop style: None
 
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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: 5e-05
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  - Learning rate schedule: cosine
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  - Warmup steps: 400000
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  - Max grad norm: 0.0
 
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  - Number of GPUs: 3
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  - Gradient checkpointing: True
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  - Prediction type: flow-matching (extra parameters=['shift=3.0'])
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+ - Optimizer: adamw_bf16
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  - Trainable parameter precision: Pure BF16
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  - Caption dropout probability: 10.0%
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  ## Datasets
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+ ### celebrities
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Repeats: 100
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+ - Total number of images: ~3921
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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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  - Crop style: None