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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Safeguard setting restore logic against exceptions
also useful for keeping settings cache and restore logic together, and nice for code reuse (other third party scripts can import this class)
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62edfae257
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@ -233,6 +233,21 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
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return processed_result
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class SharedSettingsStackHelper(object):
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def __enter__(self):
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self.CLIP_stop_at_last_layers = opts.CLIP_stop_at_last_layers
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self.hypernetwork = opts.sd_hypernetwork
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self.model = shared.sd_model
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def __exit__(self, exc_type, exc_value, tb):
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modules.sd_models.reload_model_weights(self.model)
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hypernetwork.load_hypernetwork(self.hypernetwork)
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hypernetwork.apply_strength()
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opts.data["CLIP_stop_at_last_layers"] = self.CLIP_stop_at_last_layers
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re_range = re.compile(r"\s*([+-]?\s*\d+)\s*-\s*([+-]?\s*\d+)(?:\s*\(([+-]\d+)\s*\))?\s*")
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re_range_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+(?:.\d*)?)(?:\s*\(([+-]\d+(?:.\d*)?)\s*\))?\s*")
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@ -267,9 +282,6 @@ class Script(scripts.Script):
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if not opts.return_grid:
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p.batch_size = 1
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CLIP_stop_at_last_layers = opts.CLIP_stop_at_last_layers
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def process_axis(opt, vals):
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if opt.label == 'Nothing':
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return [0]
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@ -367,27 +379,19 @@ class Script(scripts.Script):
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return process_images(pc)
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processed = draw_xy_grid(
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p,
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xs=xs,
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ys=ys,
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x_labels=[x_opt.format_value(p, x_opt, x) for x in xs],
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y_labels=[y_opt.format_value(p, y_opt, y) for y in ys],
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cell=cell,
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draw_legend=draw_legend,
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include_lone_images=include_lone_images
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)
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with SharedSettingsStackHelper():
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processed = draw_xy_grid(
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p,
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xs=xs,
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ys=ys,
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x_labels=[x_opt.format_value(p, x_opt, x) for x in xs],
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y_labels=[y_opt.format_value(p, y_opt, y) for y in ys],
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cell=cell,
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draw_legend=draw_legend,
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include_lone_images=include_lone_images
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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", prompt=p.prompt, seed=processed.seed, grid=True, p=p)
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# restore checkpoint in case it was changed by axes
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modules.sd_models.reload_model_weights(shared.sd_model)
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hypernetwork.load_hypernetwork(opts.sd_hypernetwork)
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hypernetwork.apply_strength()
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opts.data["CLIP_stop_at_last_layers"] = CLIP_stop_at_last_layers
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return processed
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