Moved SD batch processing to a shared method and added it for use in slider training. Still testing if it affects quality over sampling
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@@ -77,6 +77,7 @@ class TrainConfig:
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self.skip_first_sample = kwargs.get('skip_first_sample', False)
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self.gradient_checkpointing = kwargs.get('gradient_checkpointing', True)
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self.weight_jitter = kwargs.get('weight_jitter', 0.0)
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self.merge_network_on_save = kwargs.get('merge_network_on_save', False)
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class ModelConfig:
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