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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Fix display and save order for X/Y/Z Grid script
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@ -25,8 +25,6 @@ from modules.ui_components import ToolButton
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fill_values_symbol = "\U0001f4d2" # 📒
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fill_values_symbol = "\U0001f4d2" # 📒
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AxisInfo = namedtuple('AxisInfo', ['axis', 'values'])
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def apply_field(field):
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def apply_field(field):
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def fun(p, x, xs):
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def fun(p, x, xs):
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@ -188,7 +186,6 @@ axis_options = [
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AxisOption("Steps", int, apply_field("steps")),
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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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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("CFG Scale", float, apply_field("cfg_scale")),
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AxisOptionImg2Img("Image CFG Scale", float, apply_field("image_cfg_scale")),
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AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),
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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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AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
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AxisOptionTxt2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
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AxisOptionTxt2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
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@ -213,49 +210,47 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend
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ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
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ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
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title_texts = [[images.GridAnnotation(z)] for z in z_labels]
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title_texts = [[images.GridAnnotation(z)] for z in z_labels]
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# Temporary list of all the images that are generated to be populated into the grid.
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list_size = (len(xs) * len(ys) * len(zs))
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# Will be filled with empty images for any individual step that fails to process properly
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image_cache = [None] * (len(xs) * len(ys) * len(zs))
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processed_result = None
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processed_result = None
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cell_mode = "P"
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cell_size = (1, 1)
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state.job_count = len(xs) * len(ys) * len(zs) * p.n_iter
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state.job_count = list_size * p.n_iter
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def process_cell(x, y, z, ix, iy, iz):
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def process_cell(x, y, z, ix, iy, iz):
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nonlocal image_cache, processed_result, cell_mode, cell_size
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nonlocal processed_result
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def index(ix, iy, iz):
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def index(ix, iy, iz):
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return ix + iy * len(xs) + iz * len(xs) * len(ys)
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return ix + iy * len(xs) + iz * len(xs) * len(ys)
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state.job = f"{index(ix, iy, iz) + 1} out of {len(xs) * len(ys) * len(zs)}"
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state.job = f"{index(ix, iy, iz) + 1} out of {list_size}"
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processed: Processed = cell(x, y, z)
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processed: Processed = cell(x, y, z)
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try:
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# this dereference will throw an exception if the image was not processed
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# (this happens in cases such as if the user stops the process from the UI)
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processed_image = processed.images[0]
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if processed_result is None:
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if processed_result is None:
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# Use our first valid processed result as a template container to hold our full results
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# Use our first processed result object as a template container to hold our full results
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processed_result = copy(processed)
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processed_result = copy(processed)
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cell_mode = processed_image.mode
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processed_result.images = [None] * list_size
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cell_size = processed_image.size
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processed_result.all_prompts = [None] * list_size
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processed_result.images = [Image.new(cell_mode, cell_size)]
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processed_result.all_seeds = [None] * list_size
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processed_result.all_prompts = [processed.prompt]
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processed_result.infotexts = [None] * list_size
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processed_result.all_seeds = [processed.seed]
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processed_result.index_of_first_image = 0
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processed_result.infotexts = [processed.infotexts[0]]
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idx = index(ix, iy, iz)
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if processed.images:
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# Non-empty list indicates some degree of success.
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processed_result.images[idx] = processed.images[0]
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processed_result.all_prompts[idx] = processed.prompt
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processed_result.all_seeds[idx] = processed.seed
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processed_result.infotexts[idx] = processed.infotexts[0]
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else:
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cell_mode = "P"
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cell_size = (processed_result.width, processed_result.height)
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if processed_result.images[0] is not None:
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cell_mode = processed_result.images[0].mode
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#This corrects size in case of batches:
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cell_size = processed_result.images[0].size
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processed_result.images[idx] = Image.new(cell_mode, cell_size)
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image_cache[index(ix, iy, iz)] = processed_image
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if include_lone_images:
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processed_result.images.append(processed_image)
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processed_result.all_prompts.append(processed.prompt)
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processed_result.all_seeds.append(processed.seed)
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processed_result.infotexts.append(processed.infotexts[0])
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except:
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image_cache[index(ix, iy, iz)] = Image.new(cell_mode, cell_size)
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if first_axes_processed == 'x':
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if first_axes_processed == 'x':
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for ix, x in enumerate(xs):
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for ix, x in enumerate(xs):
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@ -289,27 +284,36 @@ def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend
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process_cell(x, y, z, ix, iy, iz)
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process_cell(x, y, z, ix, iy, iz)
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if not processed_result:
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if not processed_result:
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# Should never happen, I've only seen it on one of four open tabs and it needed to refresh.
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print("Unexpected error: Processing could not begin, you may need to refresh the tab or restart the service.")
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return Processed(p, [])
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elif not any(processed_result.images):
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print("Unexpected error: draw_xyz_grid failed to return even a single processed image")
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print("Unexpected error: draw_xyz_grid failed to return even a single processed image")
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return Processed(p, [])
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return Processed(p, [])
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sub_grids = [None] * len(zs)
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z_count = len(zs)
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for i in range(len(zs)):
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sub_grids = [None] * z_count
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start_index = i * len(xs) * len(ys)
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for i in range(z_count):
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start_index = (i * len(xs) * len(ys)) + i
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end_index = start_index + len(xs) * len(ys)
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end_index = start_index + len(xs) * len(ys)
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grid = images.image_grid(image_cache[start_index:end_index], rows=len(ys))
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grid = images.image_grid(processed_result.images[start_index:end_index], rows=len(ys))
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if draw_legend:
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if draw_legend:
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grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts, margin_size)
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grid = images.draw_grid_annotations(grid, processed_result.images[start_index].size[0], processed_result.images[start_index].size[1], hor_texts, ver_texts, margin_size)
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sub_grids[i] = grid
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processed_result.images.insert(i, grid)
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if include_sub_grids and len(zs) > 1:
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processed_result.all_prompts.insert(i, processed_result.all_prompts[start_index])
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processed_result.images.insert(i+1, grid)
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processed_result.all_seeds.insert(i, processed_result.all_seeds[start_index])
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processed_result.infotexts.insert(i, processed_result.infotexts[start_index])
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sub_grid_size = sub_grids[0].size
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sub_grid_size = processed_result.images[0].size
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z_grid = images.image_grid(sub_grids, rows=1)
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z_grid = images.image_grid(processed_result.images[:z_count], rows=1)
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if draw_legend:
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if draw_legend:
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z_grid = images.draw_grid_annotations(z_grid, sub_grid_size[0], sub_grid_size[1], title_texts, [[images.GridAnnotation()]])
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z_grid = images.draw_grid_annotations(z_grid, sub_grid_size[0], sub_grid_size[1], title_texts, [[images.GridAnnotation()]])
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processed_result.images[0] = z_grid
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processed_result.images.insert(0, z_grid)
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processed_result.all_prompts.insert(0, processed_result.all_prompts[0])
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processed_result.all_seeds.insert(0, processed_result.all_seeds[0])
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processed_result.infotexts.insert(0, processed_result.infotexts[0])
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return processed_result, sub_grids
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return processed_result
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class SharedSettingsStackHelper(object):
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class SharedSettingsStackHelper(object):
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@ -364,7 +368,7 @@ class Script(scripts.Script):
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include_lone_images = gr.Checkbox(label='Include Sub Images', value=False, elem_id=self.elem_id("include_lone_images"))
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include_lone_images = gr.Checkbox(label='Include Sub Images', value=False, elem_id=self.elem_id("include_lone_images"))
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include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
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include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
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with gr.Column():
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with gr.Column():
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margin_size = gr.Slider(label="Grid margins (px)", minimum=0, maximum=500, value=0, step=2, elem_id=self.elem_id("margin_size"))
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margin_size = gr.Slider(label="Grid margins (px)", min=0, max=500, value=0, step=2, elem_id=self.elem_id("margin_size"))
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with gr.Row(variant="compact", elem_id="swap_axes"):
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with gr.Row(variant="compact", elem_id="swap_axes"):
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swap_xy_axes_button = gr.Button(value="Swap X/Y axes", elem_id="xy_grid_swap_axes_button")
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swap_xy_axes_button = gr.Button(value="Swap X/Y axes", elem_id="xy_grid_swap_axes_button")
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@ -526,14 +530,10 @@ class Script(scripts.Script):
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grid_infotext = [None]
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grid_infotext = [None]
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state.xyz_plot_x = AxisInfo(x_opt, xs)
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state.xyz_plot_y = AxisInfo(y_opt, ys)
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state.xyz_plot_z = AxisInfo(z_opt, zs)
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# If one of the axes is very slow to change between (like SD model
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# If one of the axes is very slow to change between (like SD model
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# checkpoint), then make sure it is in the outer iteration of the nested
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# checkpoint), then make sure it is in the outer iteration of the nested
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# `for` loop.
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# `for` loop.
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first_axes_processed = 'x'
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first_axes_processed = 'z'
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second_axes_processed = 'y'
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second_axes_processed = 'y'
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if x_opt.cost > y_opt.cost and x_opt.cost > z_opt.cost:
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if x_opt.cost > y_opt.cost and x_opt.cost > z_opt.cost:
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first_axes_processed = 'x'
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first_axes_processed = 'x'
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@ -593,7 +593,7 @@ class Script(scripts.Script):
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return res
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return res
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with SharedSettingsStackHelper():
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with SharedSettingsStackHelper():
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processed, sub_grids = draw_xyz_grid(
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processed = draw_xyz_grid(
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p,
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p,
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xs=xs,
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xs=xs,
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ys=ys,
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ys=ys,
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@ -610,11 +610,24 @@ class Script(scripts.Script):
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margin_size=margin_size
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margin_size=margin_size
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)
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)
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if opts.grid_save and len(sub_grids) > 1:
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z_count = len(zs)
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for sub_grid in sub_grids:
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images.save_image(sub_grid, p.outpath_grids, "xyz_grid", info=grid_infotext[0], extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p)
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if opts.grid_save:
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if not include_lone_images:
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images.save_image(processed.images[0], p.outpath_grids, "xyz_grid", info=grid_infotext[0], extension=opts.grid_format, prompt=p.prompt, seed=processed.seed, grid=True, p=p)
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# Don't need sub-images anymore, drop from list:
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processed.images = processed.images[:z_count+1]
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if opts.grid_save and processed.images:
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# Auto-save main and sub-grids:
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grid_count = z_count + 1 if z_count > 1 else 1
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for g in range(grid_count):
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images.save_image(processed.images[g], p.outpath_grids, "xyz_grid", info=processed.infotexts[g], extension=opts.grid_format, prompt=processed.all_prompts[g], seed=processed.all_seeds[g], grid=True, p=processed)
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if not include_sub_grids:
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# Done with sub-grids, drop all related information:
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for sg in range(z_count):
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del processed.images[1]
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del processed.all_prompts[1]
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del processed.all_seeds[1]
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del processed.infotexts[1]
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return processed
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return processed
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