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adds hires steps to x/y plot and fixes total_steps calculation
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@ -184,6 +184,7 @@ axis_options = [
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AxisOption("Var. seed", int, apply_field("subseed")),
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AxisOption("Var. strength", float, apply_field("subseed_strength")),
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AxisOption("Steps", int, apply_field("steps")),
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AxisOptionTxt2Img("Hires steps", int, apply_field("hr_second_pass_steps")),
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AxisOption("CFG Scale", float, apply_field("cfg_scale")),
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AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),
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AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
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@ -427,10 +428,21 @@ class Script(scripts.Script):
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total_steps = p.steps * len(xs) * len(ys)
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if isinstance(p, StableDiffusionProcessingTxt2Img) and p.enable_hr:
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if x_opt.label == "Hires steps":
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total_steps += sum(xs) * len(ys)
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elif y_opt.label == "Hires steps":
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total_steps += sum(ys) * len(xs)
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elif p.hr_second_pass_steps:
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total_steps += p.hr_second_pass_steps * len(xs) * len(ys)
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else:
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total_steps *= 2
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print(f"X/Y plot will create {len(xs) * len(ys) * p.n_iter} images on a {len(xs)}x{len(ys)} grid. (Total steps to process: {total_steps * p.n_iter})")
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shared.total_tqdm.updateTotal(total_steps * p.n_iter)
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total_steps *= p.n_iter
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image_cell_count = p.n_iter * p.batch_size
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cell_console_text = f"; {image_cell_count} images per cell" if image_cell_count > 1 else ""
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print(f"X/Y plot will create {len(xs) * len(ys) * image_cell_count} images on a {len(xs)}x{len(ys)} grid{cell_console_text}. (Total steps to process: {total_steps})")
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shared.total_tqdm.updateTotal(total_steps)
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grid_infotext = [None]
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