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Parent(s):
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Model card auto-generated by SimpleTuner
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README.md
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@@ -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:
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- Training steps:
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- Learning rate: 1.5e-05
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- Learning rate schedule: polynomial
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- Warmup steps: 600
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@@ -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:
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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
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- Total number of images: ~86
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- Total number of aspect buckets:
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- Resolution: 0.589824 megapixels
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- Cropped: True
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- Crop style: random
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@@ -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:
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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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@@ -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:
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- Resolution: 0.589824 megapixels
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- Cropped: True
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- Crop style: random
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@@ -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:
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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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@@ -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:
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- Resolution: 0.589824 megapixels
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- Cropped: True
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- Crop style: random
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@@ -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:
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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
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- Learning rate: 1.5e-05
|
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- Learning rate schedule: polynomial
|
115 |
- Warmup steps: 600
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|
156 |
### BESCH-CROP-FLUX-V05-512
|
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- Repeats: 2
|
158 |
- Total number of images: ~86
|
159 |
+
- 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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|
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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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168 |
+
- Total number of aspect buckets: 3
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- Resolution: 0.589824 megapixels
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- Cropped: True
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- Crop style: random
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|
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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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177 |
+
- Total number of aspect buckets: 3
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178 |
- Resolution: 0.262144 megapixels
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179 |
- Cropped: True
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- Crop style: random
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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: 1
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- Resolution: 0.589824 megapixels
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- Cropped: True
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- Crop style: random
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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: 6
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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-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: 1
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- Resolution: 0.589824 megapixels
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- 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
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- 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
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