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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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re-work extra_generation_params for Hires prompt
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@ -703,7 +703,7 @@ def program_version():
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return res
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def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False, index=None, all_negative_prompts=None, all_hr_prompts=None, all_hr_negative_prompts=None):
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def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False, index=None, all_negative_prompts=None):
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if use_main_prompt:
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index = 0
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elif index is None:
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@ -717,6 +717,9 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
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token_merging_ratio = p.get_token_merging_ratio()
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token_merging_ratio_hr = p.get_token_merging_ratio(for_hr=True)
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prompt_text = p.main_prompt if use_main_prompt else all_prompts[index]
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negative_prompt = p.main_negative_prompt if use_main_prompt else all_negative_prompts[index]
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uses_ensd = opts.eta_noise_seed_delta != 0
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if uses_ensd:
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uses_ensd = sd_samplers_common.is_sampler_using_eta_noise_seed_delta(p)
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@ -749,8 +752,6 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
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"RNG": opts.randn_source if opts.randn_source != "GPU" else None,
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"NGMS": None if p.s_min_uncond == 0 else p.s_min_uncond,
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"Tiling": "True" if p.tiling else None,
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"Hires prompt": None, # This is set later, insert here to keep order
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"Hires negative prompt": None, # This is set later, insert here to keep order
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**p.extra_generation_params,
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"Version": program_version() if opts.add_version_to_infotext else None,
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"User": p.user if opts.add_user_name_to_info else None,
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@ -766,15 +767,9 @@ def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iter
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errors.report(f'Error creating infotext for key "{key}"', exc_info=True)
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generation_params[key] = None
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if all_hr_prompts := all_hr_prompts or getattr(p, 'all_hr_prompts', None):
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generation_params['Hires prompt'] = all_hr_prompts[index] if all_hr_prompts[index] != all_prompts[index] else None
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if all_hr_negative_prompts := all_hr_negative_prompts or getattr(p, 'all_hr_negative_prompts', None):
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generation_params['Hires negative prompt'] = all_hr_negative_prompts[index] if all_hr_negative_prompts[index] != all_negative_prompts[index] else None
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generation_params_text = ", ".join([k if k == v else f'{k}: {infotext_utils.quote(v)}' for k, v in generation_params.items() if v is not None])
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prompt_text = p.main_prompt if use_main_prompt else all_prompts[index]
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negative_prompt_text = f"\nNegative prompt: {p.main_negative_prompt if use_main_prompt else all_negative_prompts[index]}" if all_negative_prompts[index] else ""
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negative_prompt_text = f"\nNegative prompt: {negative_prompt}" if negative_prompt else ""
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return f"{prompt_text}{negative_prompt_text}\n{generation_params_text}".strip()
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@ -1216,6 +1211,17 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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if self.hr_sampler_name is not None and self.hr_sampler_name != self.sampler_name:
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self.extra_generation_params["Hires sampler"] = self.hr_sampler_name
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def get_hr_prompt(p, index, prompt_text, **kwargs):
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hr_prompt = p.all_hr_prompts[index]
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return hr_prompt if hr_prompt != prompt_text else None
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def get_hr_negative_prompt(p, index, negative_prompt, **kwargs):
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hr_negative_prompt = p.all_hr_negative_prompts[index]
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return hr_negative_prompt if hr_negative_prompt != negative_prompt else None
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self.extra_generation_params["Hires prompt"] = get_hr_prompt
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self.extra_generation_params["Hires negative prompt"] = get_hr_negative_prompt
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self.extra_generation_params["Hires schedule type"] = None # to be set in sd_samplers_kdiffusion.py
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if self.hr_scheduler is None:
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