Merge pull request #7146 from EllangoK/master

Adds X/Y/Z Grid Script
This commit is contained in:
AUTOMATIC1111 2023-01-25 11:56:26 +03:00 committed by GitHub
commit d5ce044bcd
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 133 additions and 44 deletions

View File

@ -195,7 +195,7 @@ def draw_grid_annotations(im, width, height, hor_texts, ver_texts):
ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in
ver_texts] ver_texts]
pad_top = max(hor_text_heights) + line_spacing * 2 pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
result = Image.new("RGB", (im.width + pad_left, im.height + pad_top), "white") result = Image.new("RGB", (im.width + pad_left, im.height + pad_top), "white")
result.paste(im, (pad_left, pad_top)) result.paste(im, (pad_left, pad_top))

View File

@ -205,26 +205,30 @@ axis_options = [
] ]
def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_images, swap_axes_processing_order): 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):
ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
hor_texts = [[images.GridAnnotation(x)] for x in x_labels] hor_texts = [[images.GridAnnotation(x)] for x in x_labels]
ver_texts = [[images.GridAnnotation(y)] for y in y_labels]
title_texts = [[images.GridAnnotation(z)] for z in z_labels]
# Temporary list of all the images that are generated to be populated into the grid. # Temporary list of all the images that are generated to be populated into the grid.
# Will be filled with empty images for any individual step that fails to process properly # Will be filled with empty images for any individual step that fails to process properly
image_cache = [None] * (len(xs) * len(ys)) image_cache = [None] * (len(xs) * len(ys) * len(zs))
processed_result = None processed_result = None
cell_mode = "P" cell_mode = "P"
cell_size = (1, 1) cell_size = (1, 1)
state.job_count = len(xs) * len(ys) * p.n_iter state.job_count = len(xs) * len(ys) * len(zs) * p.n_iter
def process_cell(x, y, ix, iy): def process_cell(x, y, z, ix, iy, iz):
nonlocal image_cache, processed_result, cell_mode, cell_size nonlocal image_cache, processed_result, cell_mode, cell_size
state.job = f"{ix + iy * len(xs) + 1} out of {len(xs) * len(ys)}" def index(ix, iy, iz):
return ix + iy * len(xs) + iz * len(xs) * len(ys)
processed: Processed = cell(x, y) state.job = f"{index(ix, iy, iz) + 1} out of {len(xs) * len(ys) * len(zs)}"
processed: Processed = cell(x, y, z)
try: try:
# this dereference will throw an exception if the image was not processed # this dereference will throw an exception if the image was not processed
@ -238,33 +242,65 @@ def draw_xy_grid(p, xs, ys, x_labels, y_labels, cell, draw_legend, include_lone_
cell_size = processed_image.size cell_size = processed_image.size
processed_result.images = [Image.new(cell_mode, cell_size)] processed_result.images = [Image.new(cell_mode, cell_size)]
image_cache[ix + iy * len(xs)] = processed_image image_cache[index(ix, iy, iz)] = processed_image
if include_lone_images: if include_lone_images:
processed_result.images.append(processed_image) processed_result.images.append(processed_image)
processed_result.all_prompts.append(processed.prompt) processed_result.all_prompts.append(processed.prompt)
processed_result.all_seeds.append(processed.seed) processed_result.all_seeds.append(processed.seed)
processed_result.infotexts.append(processed.infotexts[0]) processed_result.infotexts.append(processed.infotexts[0])
except: except:
image_cache[ix + iy * len(xs)] = Image.new(cell_mode, cell_size) image_cache[index(ix, iy, iz)] = Image.new(cell_mode, cell_size)
if swap_axes_processing_order: if first_axes_processed == 'x':
for ix, x in enumerate(xs): for ix, x in enumerate(xs):
for iy, y in enumerate(ys): if second_axes_processed == 'y':
process_cell(x, y, ix, iy) for iy, y in enumerate(ys):
else: for iz, z in enumerate(zs):
process_cell(x, y, z, ix, iy, iz)
else:
for iz, z in enumerate(zs):
for iy, y in enumerate(ys):
process_cell(x, y, z, ix, iy, iz)
elif first_axes_processed == 'y':
for iy, y in enumerate(ys): for iy, y in enumerate(ys):
for ix, x in enumerate(xs): if second_axes_processed == 'x':
process_cell(x, y, ix, iy) for ix, x in enumerate(xs):
for iz, z in enumerate(zs):
process_cell(x, y, z, ix, iy, iz)
else:
for iz, z in enumerate(zs):
for ix, x in enumerate(xs):
process_cell(x, y, z, ix, iy, iz)
elif first_axes_processed == 'z':
for iz, z in enumerate(zs):
if second_axes_processed == 'x':
for ix, x in enumerate(xs):
for iy, y in enumerate(ys):
process_cell(x, y, z, ix, iy, iz)
else:
for iy, y in enumerate(ys):
for ix, x in enumerate(xs):
process_cell(x, y, z, ix, iy, iz)
if not processed_result: if not processed_result:
print("Unexpected error: draw_xy_grid failed to return even a single processed image") print("Unexpected error: draw_xyz_grid failed to return even a single processed image")
return Processed(p, []) return Processed(p, [])
grid = images.image_grid(image_cache, rows=len(ys)) grids = [None] * len(zs)
if draw_legend: for i in range(len(zs)):
grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts) start_index = i * len(xs) * len(ys)
end_index = start_index + len(xs) * len(ys)
grid = images.image_grid(image_cache[start_index:end_index], rows=len(ys))
if draw_legend:
grid = images.draw_grid_annotations(grid, cell_size[0], cell_size[1], hor_texts, ver_texts)
grids[i] = grid
if include_sub_grids and len(zs) > 1:
processed_result.images.insert(i+1, grid)
processed_result.images[0] = grid original_grid_size = grids[0].size
grids = images.image_grid(grids, rows=1)
processed_result.images[0] = images.draw_grid_annotations(grids, original_grid_size[0], original_grid_size[1], title_texts, [[images.GridAnnotation()]])
return processed_result return processed_result
@ -291,7 +327,7 @@ re_range_count_float = re.compile(r"\s*([+-]?\s*\d+(?:.\d*)?)\s*-\s*([+-]?\s*\d+
class Script(scripts.Script): class Script(scripts.Script):
def title(self): def title(self):
return "X/Y plot" return "X/Y/Z plot"
def ui(self, is_img2img): def ui(self, is_img2img):
self.current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img == is_img2img] self.current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img == is_img2img]
@ -301,24 +337,36 @@ class Script(scripts.Script):
with gr.Row(): with gr.Row():
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")) 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"))
x_values = gr.Textbox(label="X values", lines=1, elem_id=self.elem_id("x_values")) x_values = gr.Textbox(label="X values", lines=1, elem_id=self.elem_id("x_values"))
fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_x_tool_button", visible=False) fill_x_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_x_tool_button", visible=False)
with gr.Row(): with gr.Row():
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")) 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"))
y_values = gr.Textbox(label="Y values", lines=1, elem_id=self.elem_id("y_values")) y_values = gr.Textbox(label="Y values", lines=1, elem_id=self.elem_id("y_values"))
fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xy_grid_fill_y_tool_button", visible=False) fill_y_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_y_tool_button", visible=False)
with gr.Row():
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"))
z_values = gr.Textbox(label="Z values", lines=1, elem_id=self.elem_id("z_values"))
fill_z_button = ToolButton(value=fill_values_symbol, elem_id="xyz_grid_fill_z_tool_button", visible=False)
with gr.Row(variant="compact", elem_id="axis_options"): with gr.Row(variant="compact", elem_id="axis_options"):
draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend")) draw_legend = gr.Checkbox(label='Draw legend', value=True, elem_id=self.elem_id("draw_legend"))
include_lone_images = gr.Checkbox(label='Include Separate Images', value=False, elem_id=self.elem_id("include_lone_images")) include_lone_images = gr.Checkbox(label='Include Sub Images', value=False, elem_id=self.elem_id("include_lone_images"))
include_sub_grids = gr.Checkbox(label='Include Sub Grids', value=False, elem_id=self.elem_id("include_sub_grids"))
no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds")) no_fixed_seeds = gr.Checkbox(label='Keep -1 for seeds', value=False, elem_id=self.elem_id("no_fixed_seeds"))
swap_axes_button = gr.Button(value="Swap axes", elem_id="xy_grid_swap_axes_button") swap_xy_axes_button = gr.Button(value="Swap X/Y axes", elem_id="xy_grid_swap_axes_button")
swap_yz_axes_button = gr.Button(value="Swap Y/Z axes", elem_id="yz_grid_swap_axes_button")
swap_xz_axes_button = gr.Button(value="Swap X/Z axes", elem_id="xz_grid_swap_axes_button")
def swap_axes(x_type, x_values, y_type, y_values): def swap_axes(axis1_type, axis1_values, axis2_type, axis2_values):
return self.current_axis_options[y_type].label, y_values, self.current_axis_options[x_type].label, x_values return self.current_axis_options[axis2_type].label, axis2_values, self.current_axis_options[axis1_type].label, axis1_values
swap_args = [x_type, x_values, y_type, y_values] xy_swap_args = [x_type, x_values, y_type, y_values]
swap_axes_button.click(swap_axes, inputs=swap_args, outputs=swap_args) swap_xy_axes_button.click(swap_axes, inputs=xy_swap_args, outputs=xy_swap_args)
yz_swap_args = [y_type, y_values, z_type, z_values]
swap_yz_axes_button.click(swap_axes, inputs=yz_swap_args, outputs=yz_swap_args)
xz_swap_args = [x_type, x_values, z_type, z_values]
swap_xz_axes_button.click(swap_axes, inputs=xz_swap_args, outputs=xz_swap_args)
def fill(x_type): def fill(x_type):
axis = self.current_axis_options[x_type] axis = self.current_axis_options[x_type]
@ -326,16 +374,18 @@ class Script(scripts.Script):
fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values]) fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values])
fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values]) fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values])
fill_z_button.click(fn=fill, inputs=[z_type], outputs=[z_values])
def select_axis(x_type): def select_axis(x_type):
return gr.Button.update(visible=self.current_axis_options[x_type].choices is not None) return gr.Button.update(visible=self.current_axis_options[x_type].choices is not None)
x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button]) x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button])
y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button]) y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button])
z_type.change(fn=select_axis, inputs=[z_type], outputs=[fill_z_button])
return [x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds] return [x_type, x_values, y_type, y_values, z_type, z_values, draw_legend, include_lone_images, include_sub_grids, no_fixed_seeds]
def run(self, p, x_type, x_values, y_type, y_values, draw_legend, include_lone_images, no_fixed_seeds): 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):
if not no_fixed_seeds: if not no_fixed_seeds:
modules.processing.fix_seed(p) modules.processing.fix_seed(p)
@ -409,6 +459,9 @@ class Script(scripts.Script):
y_opt = self.current_axis_options[y_type] y_opt = self.current_axis_options[y_type]
ys = process_axis(y_opt, y_values) ys = process_axis(y_opt, y_values)
z_opt = self.current_axis_options[z_type]
zs = process_axis(z_opt, z_values)
def fix_axis_seeds(axis_opt, axis_list): def fix_axis_seeds(axis_opt, axis_list):
if axis_opt.label in ['Seed', 'Var. seed']: if axis_opt.label in ['Seed', 'Var. seed']:
return [int(random.randrange(4294967294)) if val is None or val == '' or val == -1 else val for val in axis_list] return [int(random.randrange(4294967294)) if val is None or val == '' or val == -1 else val for val in axis_list]
@ -418,21 +471,26 @@ class Script(scripts.Script):
if not no_fixed_seeds: if not no_fixed_seeds:
xs = fix_axis_seeds(x_opt, xs) xs = fix_axis_seeds(x_opt, xs)
ys = fix_axis_seeds(y_opt, ys) ys = fix_axis_seeds(y_opt, ys)
zs = fix_axis_seeds(z_opt, zs)
if x_opt.label == 'Steps': if x_opt.label == 'Steps':
total_steps = sum(xs) * len(ys) total_steps = sum(xs) * len(ys) * len(zs)
elif y_opt.label == 'Steps': elif y_opt.label == 'Steps':
total_steps = sum(ys) * len(xs) total_steps = sum(ys) * len(xs) * len(zs)
elif z_opt.label == 'Steps':
total_steps = sum(zs) * len(xs) * len(ys)
else: else:
total_steps = p.steps * len(xs) * len(ys) total_steps = p.steps * len(xs) * len(ys) * len(zs)
if isinstance(p, StableDiffusionProcessingTxt2Img) and p.enable_hr: if isinstance(p, StableDiffusionProcessingTxt2Img) and p.enable_hr:
if x_opt.label == "Hires steps": if x_opt.label == "Hires steps":
total_steps += sum(xs) * len(ys) total_steps += sum(xs) * len(ys) * len(zs)
elif y_opt.label == "Hires steps": elif y_opt.label == "Hires steps":
total_steps += sum(ys) * len(xs) total_steps += sum(ys) * len(xs) * len(zs)
elif z_opt.label == "Hires steps":
total_steps += sum(zs) * len(xs) * len(ys)
elif p.hr_second_pass_steps: elif p.hr_second_pass_steps:
total_steps += p.hr_second_pass_steps * len(xs) * len(ys) total_steps += p.hr_second_pass_steps * len(xs) * len(ys) * len(zs)
else: else:
total_steps *= 2 total_steps *= 2
@ -440,7 +498,8 @@ class Script(scripts.Script):
image_cell_count = p.n_iter * p.batch_size image_cell_count = p.n_iter * p.batch_size
cell_console_text = f"; {image_cell_count} images per cell" if image_cell_count > 1 else "" cell_console_text = f"; {image_cell_count} images per cell" if image_cell_count > 1 else ""
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})") plural_s = 's' if len(zs) > 1 else ''
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})")
shared.total_tqdm.updateTotal(total_steps) shared.total_tqdm.updateTotal(total_steps)
grid_infotext = [None] grid_infotext = [None]
@ -448,15 +507,35 @@ class Script(scripts.Script):
# If one of the axes is very slow to change between (like SD model # If one of the axes is very slow to change between (like SD model
# checkpoint), then make sure it is in the outer iteration of the nested # checkpoint), then make sure it is in the outer iteration of the nested
# `for` loop. # `for` loop.
swap_axes_processing_order = x_opt.cost > y_opt.cost first_axes_processed = 'x'
second_axes_processed = 'y'
if x_opt.cost > y_opt.cost and x_opt.cost > z_opt.cost:
first_axes_processed = 'x'
if y_opt.cost > z_opt.cost:
second_axes_processed = 'y'
else:
second_axes_processed = 'z'
elif y_opt.cost > x_opt.cost and y_opt.cost > z_opt.cost:
first_axes_processed = 'y'
if x_opt.cost > z_opt.cost:
second_axes_processed = 'x'
else:
second_axes_processed = 'z'
elif z_opt.cost > x_opt.cost and z_opt.cost > y_opt.cost:
first_axes_processed = 'z'
if x_opt.cost > y_opt.cost:
second_axes_processed = 'x'
else:
second_axes_processed = 'y'
def cell(x, y): def cell(x, y, z):
if shared.state.interrupted: if shared.state.interrupted:
return Processed(p, [], p.seed, "") return Processed(p, [], p.seed, "")
pc = copy(p) pc = copy(p)
x_opt.apply(pc, x, xs) x_opt.apply(pc, x, xs)
y_opt.apply(pc, y, ys) y_opt.apply(pc, y, ys)
z_opt.apply(pc, z, zs)
res = process_images(pc) res = process_images(pc)
@ -475,24 +554,34 @@ class Script(scripts.Script):
if y_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds: if y_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds:
pc.extra_generation_params["Fixed Y Values"] = ", ".join([str(y) for y in ys]) pc.extra_generation_params["Fixed Y Values"] = ", ".join([str(y) for y in ys])
if z_opt.label != 'Nothing':
pc.extra_generation_params["Z Type"] = z_opt.label
pc.extra_generation_params["Z Values"] = z_values
if z_opt.label in ["Seed", "Var. seed"] and not no_fixed_seeds:
pc.extra_generation_params["Fixed Z Values"] = ", ".join([str(z) for z in zs])
grid_infotext[0] = processing.create_infotext(pc, pc.all_prompts, pc.all_seeds, pc.all_subseeds) grid_infotext[0] = processing.create_infotext(pc, pc.all_prompts, pc.all_seeds, pc.all_subseeds)
return res return res
with SharedSettingsStackHelper(): with SharedSettingsStackHelper():
processed = draw_xy_grid( processed = draw_xyz_grid(
p, p,
xs=xs, xs=xs,
ys=ys, ys=ys,
zs=zs,
x_labels=[x_opt.format_value(p, x_opt, x) for x in xs], x_labels=[x_opt.format_value(p, x_opt, x) for x in xs],
y_labels=[y_opt.format_value(p, y_opt, y) for y in ys], y_labels=[y_opt.format_value(p, y_opt, y) for y in ys],
z_labels=[z_opt.format_value(p, z_opt, z) for z in zs],
cell=cell, cell=cell,
draw_legend=draw_legend, draw_legend=draw_legend,
include_lone_images=include_lone_images, include_lone_images=include_lone_images,
swap_axes_processing_order=swap_axes_processing_order include_sub_grids=include_sub_grids,
first_axes_processed=first_axes_processed,
second_axes_processed=second_axes_processed
) )
if opts.grid_save: if opts.grid_save:
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) 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)
return processed return processed