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@ -10,7 +10,7 @@ import numpy as np
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import modules.scripts as scripts
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import gradio as gr
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from modules import images, paths, sd_samplers
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from modules import images, paths, sd_samplers, processing
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from modules.hypernetworks import hypernetwork
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from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
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from modules.shared import opts, cmd_opts, state
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@ -285,6 +285,7 @@ re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d
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re_range_count = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\[(\d+)\s*\])?\s*")
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re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\[(\d+(?:.\d*)?)\s*\])?\s*")
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class Script(scripts.Script):
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def title(self):
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return "X/Y plot"
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@ -381,7 +382,7 @@ class Script(scripts.Script):
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ys = process_axis(y_opt, y_values)
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def fix_axis_seeds(axis_opt, axis_list):
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if axis_opt.label in ['Seed','Var. seed']:
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if axis_opt.label in ['Seed', 'Var. seed']:
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return [int(random.randrange(4294967294)) if val is None or val == '' or val == -1 else val for val in axis_list]
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else:
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return axis_list
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@ -403,24 +404,33 @@ class Script(scripts.Script):
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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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grid_infotext = [None]
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def cell(x, y):
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pc = copy(p)
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x_opt.apply(pc, x, xs)
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y_opt.apply(pc, y, ys)
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return process_images(pc)
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res = process_images(pc)
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if grid_infotext[0] is None:
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pc.extra_generation_params = copy(pc.extra_generation_params)
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if x_opt.label != 'Nothing':
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pc.extra_generation_params["X Type"] = x_opt.label
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pc.extra_generation_params["X Values"] = x_values
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if x_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds:
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pc.extra_generation_params["Fixed X Values"] = ", ".join([str(x) for x in xs])
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if y_opt.label != 'Nothing':
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pc.extra_generation_params["Y Type"] = y_opt.label
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pc.extra_generation_params["Y Values"] = y_values
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if y_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds:
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pc.extra_generation_params["Fixed Y Values"] = ", ".join([str(y) for y in ys])
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if not x_opt.label == 'Nothing':
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p.extra_generation_params["XY Plot X Type"] = x_opt.label
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p.extra_generation_params["XY Plot X Values"] = '{' + x_values + '}'
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if x_opt.label in ["Seed","Var. seed"] and not no_fixed_seeds:
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p.extra_generation_params["XY Plot Fixed X Values"] = '{' + ", ".join([str(x) for x in xs])+ '}'
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grid_infotext[0] = processing.create_infotext(pc, pc.all_prompts, pc.all_seeds, pc.all_subseeds)
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if not y_opt.label == 'Nothing':
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p.extra_generation_params["XY Plot Y Type"] = y_opt.label
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p.extra_generation_params["XY Plot Y Values"] = '{' + y_values + '}'
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if y_opt.label in ["Seed","Var. seed"] and not no_fixed_seeds:
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p.extra_generation_params["XY Plot Fixed Y Values"] = '{' + ", ".join([str(y) for y in ys])+ '}'
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return res
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with SharedSettingsStackHelper():
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processed = draw_xy_grid(
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@ -435,6 +445,6 @@ class Script(scripts.Script):
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)
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if opts.grid_save:
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images.save_image(processed.images[0], p.outpath_grids, "xy_grid", extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p)
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images.save_image(processed.images[0], p.outpath_grids, "xy_grid", info=grid_infotext[0], extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p)
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return processed
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