AUTOMATIC1111
GitHub
commit
d5ce044bcd
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@ -195,7 +195,7 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts):
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ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in
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ver_texts]
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pad_top = max(hor_text_heights) + line_spacing * 2
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pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
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result = Image.new("RGB", (im.width + pad_left, im.height + pad_top), "white")
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result.paste(im, (pad_left, pad_top))
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@ -205,26 +205,30 @@ axis_options = [
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]
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def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_images, swap_axes_processing_order):
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ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
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def draw_xyz_grid(p, xs, ys, zs, x_labels, y_labels, z_labels, cell, draw_legend, include_lone_images, include_sub_grids, first_axes_processed, second_axes_processed):
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hor_texts = [[images.GridAnnotation(x)] for x in x_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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# Temporary list of all the images that are generated to be populated into the grid.
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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))
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image_cache = [None] * (len(xs) * len(ys) * len(zs))
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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) * p.n_iter
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state.job_count = len(xs) * len(ys) * len(zs) * p.n_iter
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def process_cell(x, y, ix, iy):
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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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state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}"
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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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processed: Processed = cell(x, y)
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state.job = f"{index(ix, iy, iz) + 1} out of {len(xs) * len(ys) * len(zs)}"
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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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@ -238,33 +242,65 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
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cell_size = processed_image.size
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processed_result.images = [Image.new(cell_mode, cell_size)]
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image_cache[ix + iy * len(xs)] = processed_image
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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[ix + iy * len(xs)] = Image.new(cell_mode, cell_size)
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image_cache[index(ix, iy, iz)] = Image.new(cell_mode, cell_size)
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if swap_axes_processing_order:
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if first_axes_processed == 'x':
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for ix, x in enumerate(xs):
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for iy, y in enumerate(ys):
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process_cell(x, y, ix, iy)
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else:
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if second_axes_processed == 'y':
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for iy, y in enumerate(ys):
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for iz, z in enumerate(zs):
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process_cell(x, y, z, ix, iy, iz)
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else:
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for iz, z in enumerate(zs):
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for iy, y in enumerate(ys):
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process_cell(x, y, z, ix, iy, iz)
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elif first_axes_processed == 'y':
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for iy, y in enumerate(ys):
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for ix, x in enumerate(xs):
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process_cell(x, y, ix, iy)
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if second_axes_processed == 'x':
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for ix, x in enumerate(xs):
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for iz, z in enumerate(zs):
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process_cell(x, y, z, ix, iy, iz)
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else:
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for iz, z in enumerate(zs):
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for ix, x in enumerate(xs):
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process_cell(x, y, z, ix, iy, iz)
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elif first_axes_processed == 'z':
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for iz, z in enumerate(zs):
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if second_axes_processed == 'x':
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for ix, x in enumerate(xs):
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for iy, y in enumerate(ys):
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process_cell(x, y, z, ix, iy, iz)
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else:
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for iy, y in enumerate(ys):
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for ix, x in enumerate(xs):
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process_cell(x, y, z, ix, iy, iz)
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if not processed_result:
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print("Unexpected error: draw_xy_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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grid = images.image_grid(image_cache, rows=len(ys))
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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)
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grids = [None] * len(zs)
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for i in range(len(zs)):
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start_index = i * 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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if draw_legend:
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grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts)
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grids[i] = grid
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if include_sub_grids and len(zs) > 1:
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processed_result.images.insert(i+1, grid)
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processed_result.images[0] = grid
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original_grid_size = grids[0].size
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grids = images.image_grid(grids, rows=1)
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processed_result.images[0] = images.draw_grid_annotations(grids, original_grid_size[0], original_grid_size[1], title_texts, [[images.GridAnnotation()]])
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return processed_result
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@ -291,7 +327,7 @@ re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+
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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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return "X/Y/Z plot"
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def ui(self, is_img2img):
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self.current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img == is_img2img]
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@ -301,24 +337,36 @@ class Script(scripts.Script):
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with gr.Row():
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x_type = gr.Dropdown(label="X type", choices=[x.label for x in self.current_axis_options], value=self.current_axis_options[1].label, type="index", elem_id=self.elem_id("x_type"))
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x_values = gr.Textbox(label="X values", lines=1, elem_id=self.elem_id("x_values"))
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fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_x_tool_button", visible=False)
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fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_x_tool_button", visible=False)
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with gr.Row():
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y_type = gr.Dropdown(label="Y type", choices=[x.label for x in self.current_axis_options], value=self.current_axis_options[0].label, type="index", elem_id=self.elem_id("y_type"))
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y_values = gr.Textbox(label="Y values", lines=1, elem_id=self.elem_id("y_values"))
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fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_y_tool_button", visible=False)
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fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_y_tool_button", visible=False)
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with gr.Row():
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z_type = gr.Dropdown(label="Z type", choices=[x.label for x in self.current_axis_options], value=self.current_axis_options[0].label, type="index", elem_id=self.elem_id("z_type"))
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z_values = gr.Textbox(label="Z values", lines=1, elem_id=self.elem_id("z_values"))
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fill_z_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_z_tool_button", visible=False)
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with gr.Row(variant="compact", elem_id="axis_options"):
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draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
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include_lone_images = gr.Checkbox(label='Include Separate 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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no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
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swap_axes_button = gr.Button(value="Swap 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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swap_yz_axes_button = gr.Button(value="Swap Y/Z axes", elem_id="yz_grid_swap_axes_button")
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swap_xz_axes_button = gr.Button(value="Swap X/Z axes", elem_id="xz_grid_swap_axes_button")
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def swap_axes(x_type, x_values, y_type, y_values):
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return self.current_axis_options[y_type].label, y_values, self.current_axis_options[x_type].label, x_values
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def swap_axes(axis1_type, axis1_values, axis2_type, axis2_values):
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return self.current_axis_options[axis2_type].label, axis2_values, self.current_axis_options[axis1_type].label, axis1_values
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swap_args = [x_type, x_values, y_type, y_values]
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swap_axes_button.click(swap_axes, inputs=swap_args, outputs=swap_args)
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xy_swap_args = [x_type, x_values, y_type, y_values]
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swap_xy_axes_button.click(swap_axes, inputs=xy_swap_args, outputs=xy_swap_args)
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yz_swap_args = [y_type, y_values, z_type, z_values]
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swap_yz_axes_button.click(swap_axes, inputs=yz_swap_args, outputs=yz_swap_args)
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xz_swap_args = [x_type, x_values, z_type, z_values]
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swap_xz_axes_button.click(swap_axes, inputs=xz_swap_args, outputs=xz_swap_args)
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def fill(x_type):
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axis = self.current_axis_options[x_type]
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@ -326,16 +374,18 @@ class Script(scripts.Script):
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fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values])
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fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values])
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fill_z_button.click(fn=fill, inputs=[z_type], outputs=[z_values])
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def select_axis(x_type):
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return gr.Button.update(visible=self.current_axis_options[x_type].choices is not None)
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x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button])
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y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button])
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z_type.change(fn=select_axis, inputs=[z_type], outputs=[fill_z_button])
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return [x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds]
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return [x_type, x_values, y_type, y_values, z_type, z_values, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds]
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def run(self, p, x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds):
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def run(self, p, x_type, x_values, y_type, y_values, z_type, z_values, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds):
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if not no_fixed_seeds:
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modules.processing.fix_seed(p)
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@ -409,6 +459,9 @@ class Script(scripts.Script):
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y_opt = self.current_axis_options[y_type]
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ys = process_axis(y_opt, y_values)
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z_opt = self.current_axis_options[z_type]
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zs = process_axis(z_opt, z_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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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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@ -418,21 +471,26 @@ class Script(scripts.Script):
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if not no_fixed_seeds:
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xs = fix_axis_seeds(x_opt, xs)
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ys = fix_axis_seeds(y_opt, ys)
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zs = fix_axis_seeds(z_opt, zs)
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if x_opt.label == 'Steps':
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total_steps = sum(xs) * len(ys)
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total_steps = sum(xs) * len(ys) * len(zs)
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elif y_opt.label == 'Steps':
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total_steps = sum(ys) * len(xs)
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total_steps = sum(ys) * len(xs) * len(zs)
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elif z_opt.label == 'Steps':
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total_steps = sum(zs) * len(xs) * len(ys)
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else:
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total_steps = p.steps * len(xs) * len(ys)
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total_steps = p.steps * len(xs) * len(ys) * len(zs)
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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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total_steps += sum(xs) * len(ys) * len(zs)
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elif y_opt.label == "Hires steps":
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total_steps += sum(ys) * len(xs)
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total_steps += sum(ys) * len(xs) * len(zs)
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elif z_opt.label == "Hires steps":
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total_steps += sum(zs) * len(xs) * len(ys)
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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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total_steps += p.hr_second_pass_steps * len(xs) * len(ys) * len(zs)
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else:
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total_steps *= 2
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@ -440,7 +498,8 @@ class Script(scripts.Script):
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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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plural_s = 's' if len(zs) > 1 else ''
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print(f"X/Y plot will create {len(xs) * len(ys) * len(zs) * image_cell_count} images on {len(zs)} {len(xs)}x{len(ys)} grid{plural_s}{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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@ -448,15 +507,35 @@ class Script(scripts.Script):
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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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# `for` loop.
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swap_axes_processing_order = x_opt.cost > y_opt.cost
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first_axes_processed = 'x'
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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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first_axes_processed = 'x'
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if y_opt.cost > z_opt.cost:
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second_axes_processed = 'y'
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else:
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second_axes_processed = 'z'
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elif y_opt.cost > x_opt.cost and y_opt.cost > z_opt.cost:
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first_axes_processed = 'y'
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if x_opt.cost > z_opt.cost:
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second_axes_processed = 'x'
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else:
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second_axes_processed = 'z'
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elif z_opt.cost > x_opt.cost and z_opt.cost > y_opt.cost:
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first_axes_processed = 'z'
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if x_opt.cost > y_opt.cost:
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second_axes_processed = 'x'
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else:
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second_axes_processed = 'y'
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def cell(x, y):
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def cell(x, y, z):
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if shared.state.interrupted:
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return Processed(p, [], p.seed, "")
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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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z_opt.apply(pc, z, zs)
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res = process_images(pc)
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@ -475,24 +554,34 @@ class Script(scripts.Script):
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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 z_opt.label != 'Nothing':
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pc.extra_generation_params["Z Type"] = z_opt.label
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pc.extra_generation_params["Z Values"] = z_values
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if z_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds:
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pc.extra_generation_params["Fixed Z Values"] = ", ".join([str(z) for z in zs])
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grid_infotext[0] = processing.create_infotext(pc, pc.all_prompts, pc.all_seeds, pc.all_subseeds)
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return res
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with SharedSettingsStackHelper():
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processed = draw_xy_grid(
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processed = draw_xyz_grid(
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p,
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xs=xs,
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ys=ys,
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zs=zs,
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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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z_labels=[z_opt.format_value(p, z_opt, z) for z in zs],
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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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swap_axes_processing_order=swap_axes_processing_order
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include_sub_grids=include_sub_grids,
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first_axes_processed=first_axes_processed,
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second_axes_processed=second_axes_processed
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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", info=grid_infotext[0], 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, "xyz_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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Block a user