make it possible to use hires fix together with refiner
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@ -1200,6 +1200,12 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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self.hr_c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, hr_prompts, total_steps, [self.cached_hr_c, self.cached_c], self.hr_extra_network_data)
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def setup_conds(self):
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if self.is_hr_pass:
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# if we are in hr pass right now, the call is being made from the refiner, and we don't need to setup firstpass cons or switch model
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self.hr_c = None
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self.calculate_hr_conds()
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return
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super().setup_conds()
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self.hr_uc = None
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@ -24,7 +24,7 @@ class ScriptRefiner(scripts.Script):
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refiner_checkpoint = gr.Dropdown(label='Checkpoint', elem_id=self.elem_id("checkpoint"), choices=sd_models.checkpoint_tiles(), value='', tooltip="switch to another model in the middle of generation")
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create_refresh_button(refiner_checkpoint, sd_models.list_models, lambda: {"choices": sd_models.checkpoint_tiles()}, self.elem_id("checkpoint_refresh"))
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refiner_switch_at = gr.Slider(value=0.8, label="Switch at", minimum=0.01, maximum=1.0, step=0.01, elem_id=self.elem_id("switch_at"), tooltip="fraction of sampling steps when the swtch to refiner model should happen; 1=never, 0.5=switch in the middle of generation")
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refiner_switch_at = gr.Slider(value=0.8, label="Switch at", minimum=0.01, maximum=1.0, step=0.01, elem_id=self.elem_id("switch_at"), tooltip="fraction of sampling steps when the switch to refiner model should happen; 1=never, 0.5=switch in the middle of generation")
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def lookup_checkpoint(title):
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info = sd_models.get_closet_checkpoint_match(title)
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@ -151,6 +151,9 @@ def apply_refiner(cfg_denoiser):
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if refiner_checkpoint_info is None or shared.sd_model.sd_checkpoint_info == refiner_checkpoint_info:
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return False
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if getattr(cfg_denoiser.p, "enable_hr", False) and not cfg_denoiser.p.is_hr_pass:
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return False
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cfg_denoiser.p.extra_generation_params['Refiner'] = refiner_checkpoint_info.short_title
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cfg_denoiser.p.extra_generation_params['Refiner switch at'] = refiner_switch_at
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