add 'before_hr callback' script callback
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@ -1074,6 +1074,9 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio(for_hr=True))
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sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio(for_hr=True))
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if self.scripts is not None:
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self.scripts.before_hr(self)
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samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
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samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
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sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio())
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sd_models.apply_token_merging(self.sd_model, self.get_token_merging_ratio())
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@ -186,6 +186,11 @@ class Script:
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return f'script_{tabname}{title}_{item_id}'
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return f'script_{tabname}{title}_{item_id}'
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def before_hr(self, p ,*args):
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"""
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This function is called before hires fix start.
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"""
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pass
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current_basedir = paths.script_path
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current_basedir = paths.script_path
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@ -548,6 +553,15 @@ class ScriptRunner:
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self.scripts[si].args_to = args_to
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self.scripts[si].args_to = args_to
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def before_hr(self, p):
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for script in self.alwayson_scripts:
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try:
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script_args = p.script_args[script.args_from:script.args_to]
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script.before_hr(p, *script_args)
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except Exception:
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errors.report(f"Error running before_hr: {script.filename}", exc_info=True)
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scripts_txt2img: ScriptRunner = None
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scripts_txt2img: ScriptRunner = None
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scripts_img2img: ScriptRunner = None
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scripts_img2img: ScriptRunner = None
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scripts_postproc: scripts_postprocessing.ScriptPostprocessingRunner = None
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scripts_postproc: scripts_postprocessing.ScriptPostprocessingRunner = None
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