Model card auto-generated by SimpleTuner
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README.md
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## Training settings
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- Training epochs:
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- Training steps: 150
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- Learning rate: 8e-07
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- Effective batch size:
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- Micro-batch size:
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- Gradient accumulation steps: 2
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- Number of GPUs: 1
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- Prediction type: flow-matching
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### poc1_lundlund_hugocomte
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- Repeats: 0
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- Total number of images:
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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## Training settings
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- Training epochs: 10
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- Training steps: 150
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- Learning rate: 8e-07
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- Effective batch size: 20
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- Micro-batch size: 10
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- Gradient accumulation steps: 2
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- Number of GPUs: 1
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- Prediction type: flow-matching
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### poc1_lundlund_hugocomte
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- Repeats: 0
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- Total number of images: 280
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- Total number of aspect buckets: 1
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- Resolution: 512 px
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- Cropped: True
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