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Model card auto-generated by SimpleTuner

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  1. README.md +53 -5
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@@ -108,11 +108,11 @@ 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: 3200
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  - Learning rate: 0.0006
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  - Effective batch size: 16
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- - Micro-batch size: 2
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- - Gradient accumulation steps: 8
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  - Number of GPUs: 1
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  - Prediction type: flow-matching
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  - Rescaled betas zero SNR: False
@@ -128,10 +128,10 @@ You may reuse the base model text encoder for inference.
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  "linear_dim": 1000000,
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  "linear_alpha": 1,
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  "full_matrix": true,
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- "factor": 12,
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  "apply_preset": {
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  "target_module": [
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- "FluxTransformer2DModelWithMasking"
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  ],
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  "module_algo_map": {
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  "FeedForward": {
@@ -160,6 +160,14 @@ You may reuse the base model text encoder for inference.
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  - Cropped: False
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  - Crop style: None
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  - Crop aspect: None
 
 
 
 
 
 
 
 
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  ### default_dataset
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  - Repeats: 9999
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  - Total number of images: 42
@@ -216,6 +224,46 @@ You may reuse the base model text encoder for inference.
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  - Cropped: True
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  - Crop style: center
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  - Crop aspect: square
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Inference
 
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  ## Training settings
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  - Training epochs: 0
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+ - Training steps: 100
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  - Learning rate: 0.0006
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  - Effective batch size: 16
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+ - Micro-batch size: 1
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+ - Gradient accumulation steps: 16
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  - Number of GPUs: 1
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  - Prediction type: flow-matching
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  - Rescaled betas zero SNR: False
 
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  "linear_dim": 1000000,
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  "linear_alpha": 1,
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  "full_matrix": true,
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+ "factor": 10,
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  "apply_preset": {
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  "target_module": [
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+ "FluxTransformer2DModel"
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  ],
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  "module_algo_map": {
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  "FeedForward": {
 
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  - Cropped: False
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  - Crop style: None
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  - Crop aspect: None
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+ ### default_dataset_arb3
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+ - Repeats: 9999
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+ - Total number of images: 3220
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+ - Total number of aspect buckets: 26
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+ - Resolution: 1.33 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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  ### default_dataset
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  - Repeats: 9999
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  - Total number of images: 42
 
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  - Cropped: True
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  - Crop style: center
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  - Crop aspect: square
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+ ### default_dataset_art
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+ - Repeats: 9999
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+ - Total number of images: 2482
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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: center
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+ - Crop aspect: square
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+ ### default_dataset_art_512
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+ - Repeats: 9999
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+ - Total number of images: 3193
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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: center
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+ - Crop aspect: square
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+ ### default_dataset_art_640
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+ - Repeats: 9999
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+ - Total number of images: 3115
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+ - Total number of aspect buckets: 1
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+ - Resolution: 0.4096 megapixels
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+ - Cropped: True
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+ - Crop style: random
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+ - Crop aspect: square
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+ ### default_dataset_art_768
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+ - Repeats: 9999
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+ - Total number of images: 2989
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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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+ - Crop aspect: square
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+ ### default_dataset_art_896
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+ - Repeats: 9999
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+ - Total number of images: 2787
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+ - Total number of aspect buckets: 1
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+ - Resolution: 0.802816 megapixels
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+ - Cropped: True
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+ - Crop style: random
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+ - Crop aspect: square
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  ## Inference