Hr-fix separate prompt experimentation
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@ -516,25 +516,25 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
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else:
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p.all_negative_prompts = p.batch_size * p.n_iter * [shared.prompt_styles.apply_negative_styles_to_prompt(p.negative_prompt, p.styles)]
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if type(p) == StableDiffusionProcessingTxt2Img:
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if p.enable_hr and p.is_hr_pass:
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logging.info("Running hr pass with custom prompt")
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if p.hr_prompt:
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if type(p.prompt) == list:
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p.all_prompts = [shared.prompt_styles.apply_styles_to_prompt(x, p.styles) for x in p.hr_prompt]
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else:
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p.all_prompts = p.batch_size * p.n_iter * [
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shared.prompt_styles.apply_styles_to_prompt(p.hr_prompt, p.styles)]
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logging.info(p.all_prompts)
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if p.hr_negative_prompt:
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if type(p.negative_prompt) == list:
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p.all_negative_prompts = [shared.prompt_styles.apply_negative_styles_to_prompt(x, p.styles) for x in
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p.hr_negative_prompt]
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else:
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p.all_negative_prompts = p.batch_size * p.n_iter * [
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shared.prompt_styles.apply_negative_styles_to_prompt(p.hr_negative_prompt, p.styles)]
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logging.info(p.all_negative_prompts)
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# if type(p) == StableDiffusionProcessingTxt2Img:
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# if p.enable_hr and p.is_hr_pass:
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# logging.info("Running hr pass with custom prompt")
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# if p.hr_prompt:
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# if type(p.prompt) == list:
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# p.all_prompts = [shared.prompt_styles.apply_styles_to_prompt(x, p.styles) for x in p.hr_prompt]
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# else:
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# p.all_prompts = p.batch_size * p.n_iter * [
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# shared.prompt_styles.apply_styles_to_prompt(p.hr_prompt, p.styles)]
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# logging.info(p.all_prompts)
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#
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# if p.hr_negative_prompt:
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# if type(p.negative_prompt) == list:
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# p.all_negative_prompts = [shared.prompt_styles.apply_negative_styles_to_prompt(x, p.styles) for x in
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# p.hr_negative_prompt]
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# else:
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# p.all_negative_prompts = p.batch_size * p.n_iter * [
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# shared.prompt_styles.apply_negative_styles_to_prompt(p.hr_negative_prompt, p.styles)]
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# logging.info(p.all_negative_prompts)
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if type(seed) == list:
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p.all_seeds = seed
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@ -744,7 +744,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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self.hr_sampler = hr_sampler
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self.hr_prompt = hr_prompt if hr_prompt != '' else self.prompt
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self.hr_negative_prompt = hr_negative_prompt if hr_negative_prompt != '' else self.negative_prompt
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self.is_hr_pass = False
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if firstphase_width != 0 or firstphase_height != 0:
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self.hr_upscale_to_x = self.width
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@ -831,7 +830,9 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
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if not self.enable_hr:
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return samples
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self.is_hr_pass = True
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self.prompt = self.hr_prompt
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self.negative_prompt = self.hr_negative_prompt
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target_width = self.hr_upscale_to_x
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target_height = self.hr_upscale_to_y
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