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Model card auto-generated by SimpleTuner

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  1. README.md +9 -9
README.md CHANGED
@@ -108,8 +108,8 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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- - Training epochs: 7
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- - Training steps: 5526
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  - Learning rate: 1.5e-05
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  - Learning rate schedule: polynomial
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  - Warmup steps: 600
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-CROP-FLUX-V05-512
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  - Repeats: 2
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  - Total number of images: ~86
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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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  - Crop style: random
@@ -165,7 +165,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-CROP-FLUX-V05-768
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  - Repeats: 2
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  - Total number of images: ~86
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- - Total number of aspect buckets: 1
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  - Resolution: 0.589824 megapixels
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  - Cropped: True
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  - Crop style: random
@@ -174,7 +174,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-MIX-FLUX-V05-512
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  - Repeats: 2
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  - Total number of images: ~106
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- - Total number of aspect buckets: 6
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  - Resolution: 0.262144 megapixels
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  - Cropped: True
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  - Crop style: random
@@ -183,7 +183,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-MIX-FLUX-V05-768
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  - Repeats: 2
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  - Total number of images: ~110
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- - Total number of aspect buckets: 13
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  - Resolution: 0.589824 megapixels
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  - Cropped: True
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  - Crop style: random
@@ -192,7 +192,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-512
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  - Repeats: 5
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  - Total number of images: ~140
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- - Total number of aspect buckets: 4
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  - Resolution: 0.262144 megapixels
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  - Cropped: True
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  - Crop style: random
@@ -201,7 +201,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-768
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  - Repeats: 5
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  - Total number of images: ~140
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- - Total number of aspect buckets: 7
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  - Resolution: 0.589824 megapixels
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  - Cropped: True
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  - Crop style: random
@@ -210,7 +210,7 @@ You may reuse the base model text encoder for inference.
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-1024
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  - Repeats: 5
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  - Total number of images: ~140
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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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  - Crop style: random
 
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  ## Training settings
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+ - Training epochs: 8
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+ - Training steps: 6140
113
  - Learning rate: 1.5e-05
114
  - Learning rate schedule: polynomial
115
  - Warmup steps: 600
 
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  ### BESCH-CROP-FLUX-V05-512
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  - Repeats: 2
158
  - Total number of images: ~86
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+ - Total number of aspect buckets: 3
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  - Resolution: 0.262144 megapixels
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  - Cropped: True
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  - Crop style: random
 
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  ### BESCH-CROP-FLUX-V05-768
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  - Repeats: 2
167
  - Total number of images: ~86
168
+ - Total number of aspect buckets: 3
169
  - Resolution: 0.589824 megapixels
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  - Cropped: True
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  - Crop style: random
 
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  ### BESCH-MIX-FLUX-V05-512
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  - Repeats: 2
176
  - Total number of images: ~106
177
+ - Total number of aspect buckets: 3
178
  - Resolution: 0.262144 megapixels
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  - Cropped: True
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  - Crop style: random
 
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  ### BESCH-MIX-FLUX-V05-768
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  - Repeats: 2
185
  - Total number of images: ~110
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+ - Total number of aspect buckets: 1
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  - Resolution: 0.589824 megapixels
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  - Cropped: True
189
  - Crop style: random
 
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-512
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  - Repeats: 5
194
  - Total number of images: ~140
195
+ - Total number of aspect buckets: 6
196
  - Resolution: 0.262144 megapixels
197
  - Cropped: True
198
  - Crop style: random
 
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-768
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  - Repeats: 5
203
  - Total number of images: ~140
204
+ - Total number of aspect buckets: 1
205
  - Resolution: 0.589824 megapixels
206
  - Cropped: True
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  - Crop style: random
 
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  ### BESCH-NEW_ORIGINAL-FLUX-V05-1024
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  - Repeats: 5
212
  - Total number of images: ~140
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+ - Total number of aspect buckets: 4
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  - Resolution: 1.048576 megapixels
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  - Cropped: True
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  - Crop style: random