Update script_callbacks.py
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@ -64,7 +64,7 @@ class CFGDenoisedParams:
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"""Total number of sampling steps planned"""
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"""Total number of sampling steps planned"""
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self.inner_model = inner_model
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self.inner_model = inner_model
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"""Inner model reference that is being used for denoising"""
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"""Inner model reference used for denoising"""
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class AfterCFGCallbackParams:
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class AfterCFGCallbackParams:
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@ -79,7 +79,7 @@ class AfterCFGCallbackParams:
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"""Total number of sampling steps planned"""
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"""Total number of sampling steps planned"""
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self.output_altered = False
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self.output_altered = False
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"""A flag for CFGDenoiser that indicates whether the output has been altered by the callback"""
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"""A flag for CFGDenoiser indicating whether the output has been altered by the callback"""
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class UiTrainTabParams:
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class UiTrainTabParams:
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@ -360,9 +360,9 @@ def on_cfg_denoised(callback):
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def on_cfg_after_cfg(callback):
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def on_cfg_after_cfg(callback):
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"""register a function to be called in the kdiffussion cfg_denoiser method after cfg calculations has completed.
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"""register a function to be called in the kdiffussion cfg_denoiser method after cfg calculations are completed.
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The callback is called with one argument:
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The callback is called with one argument:
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- params: CFGDenoisedParams - parameters to be passed to the inner model and sampling state details.
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- params: AfterCFGCallbackParams - parameters to be passed to the script for post-processing after cfg calculation.
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"""
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"""
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add_callback(callback_map['callbacks_cfg_after_cfg'], callback)
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add_callback(callback_map['callbacks_cfg_after_cfg'], callback)
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