434 lines
16 KiB
Python
434 lines
16 KiB
Python
import datetime
|
|
import math
|
|
import os
|
|
from collections import namedtuple
|
|
import re
|
|
|
|
import numpy as np
|
|
import piexif
|
|
import piexif.helper
|
|
from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
|
|
from fonts.ttf import Roboto
|
|
import string
|
|
|
|
import modules.shared
|
|
from modules import sd_samplers, shared
|
|
from modules.shared import opts, cmd_opts
|
|
|
|
LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
|
|
|
|
|
|
def image_grid(imgs, batch_size=1, rows=None):
|
|
if rows is None:
|
|
if opts.n_rows > 0:
|
|
rows = opts.n_rows
|
|
elif opts.n_rows == 0:
|
|
rows = batch_size
|
|
else:
|
|
rows = math.sqrt(len(imgs))
|
|
rows = round(rows)
|
|
|
|
cols = math.ceil(len(imgs) / rows)
|
|
|
|
w, h = imgs[0].size
|
|
grid = Image.new('RGB', size=(cols * w, rows * h), color='black')
|
|
|
|
for i, img in enumerate(imgs):
|
|
grid.paste(img, box=(i % cols * w, i // cols * h))
|
|
|
|
return grid
|
|
|
|
|
|
Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])
|
|
|
|
|
|
def split_grid(image, tile_w=512, tile_h=512, overlap=64):
|
|
w = image.width
|
|
h = image.height
|
|
|
|
non_overlap_width = tile_w - overlap
|
|
non_overlap_height = tile_h - overlap
|
|
|
|
cols = math.ceil((w - overlap) / non_overlap_width)
|
|
rows = math.ceil((h - overlap) / non_overlap_height)
|
|
|
|
dx = (w - tile_w) / (cols-1) if cols > 1 else 0
|
|
dy = (h - tile_h) / (rows-1) if rows > 1 else 0
|
|
|
|
grid = Grid([], tile_w, tile_h, w, h, overlap)
|
|
for row in range(rows):
|
|
row_images = []
|
|
|
|
y = int(row * dy)
|
|
|
|
if y + tile_h >= h:
|
|
y = h - tile_h
|
|
|
|
for col in range(cols):
|
|
x = int(col * dx)
|
|
|
|
if x+tile_w >= w:
|
|
x = w - tile_w
|
|
|
|
tile = image.crop((x, y, x + tile_w, y + tile_h))
|
|
|
|
row_images.append([x, tile_w, tile])
|
|
|
|
grid.tiles.append([y, tile_h, row_images])
|
|
|
|
return grid
|
|
|
|
|
|
def combine_grid(grid):
|
|
def make_mask_image(r):
|
|
r = r * 255 / grid.overlap
|
|
r = r.astype(np.uint8)
|
|
return Image.fromarray(r, 'L')
|
|
|
|
mask_w = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((1, grid.overlap)).repeat(grid.tile_h, axis=0))
|
|
mask_h = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((grid.overlap, 1)).repeat(grid.image_w, axis=1))
|
|
|
|
combined_image = Image.new("RGB", (grid.image_w, grid.image_h))
|
|
for y, h, row in grid.tiles:
|
|
combined_row = Image.new("RGB", (grid.image_w, h))
|
|
for x, w, tile in row:
|
|
if x == 0:
|
|
combined_row.paste(tile, (0, 0))
|
|
continue
|
|
|
|
combined_row.paste(tile.crop((0, 0, grid.overlap, h)), (x, 0), mask=mask_w)
|
|
combined_row.paste(tile.crop((grid.overlap, 0, w, h)), (x + grid.overlap, 0))
|
|
|
|
if y == 0:
|
|
combined_image.paste(combined_row, (0, 0))
|
|
continue
|
|
|
|
combined_image.paste(combined_row.crop((0, 0, combined_row.width, grid.overlap)), (0, y), mask=mask_h)
|
|
combined_image.paste(combined_row.crop((0, grid.overlap, combined_row.width, h)), (0, y + grid.overlap))
|
|
|
|
return combined_image
|
|
|
|
|
|
class GridAnnotation:
|
|
def __init__(self, text='', is_active=True):
|
|
self.text = text
|
|
self.is_active = is_active
|
|
self.size = None
|
|
|
|
|
|
def draw_grid_annotations(im, width, height, hor_texts, ver_texts):
|
|
def wrap(drawing, text, font, line_length):
|
|
lines = ['']
|
|
for word in text.split():
|
|
line = f'{lines[-1]} {word}'.strip()
|
|
if drawing.textlength(line, font=font) <= line_length:
|
|
lines[-1] = line
|
|
else:
|
|
lines.append(word)
|
|
return lines
|
|
|
|
def draw_texts(drawing, draw_x, draw_y, lines):
|
|
for i, line in enumerate(lines):
|
|
drawing.multiline_text((draw_x, draw_y + line.size[1] / 2), line.text, font=fnt, fill=color_active if line.is_active else color_inactive, anchor="mm", align="center")
|
|
|
|
if not line.is_active:
|
|
drawing.line((draw_x - line.size[0]//2, draw_y + line.size[1]//2, draw_x + line.size[0]//2, draw_y + line.size[1]//2), fill=color_inactive, width=4)
|
|
|
|
draw_y += line.size[1] + line_spacing
|
|
|
|
fontsize = (width + height) // 25
|
|
line_spacing = fontsize // 2
|
|
|
|
try:
|
|
fnt = ImageFont.truetype(opts.font or Roboto, fontsize)
|
|
except Exception:
|
|
fnt = ImageFont.truetype(Roboto, fontsize)
|
|
|
|
color_active = (0, 0, 0)
|
|
color_inactive = (153, 153, 153)
|
|
|
|
pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in ver_texts]) == 0 else width * 3 // 4
|
|
|
|
cols = im.width // width
|
|
rows = im.height // height
|
|
|
|
assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}'
|
|
assert rows == len(ver_texts), f'bad number of vertical texts: {len(ver_texts)}; must be {rows}'
|
|
|
|
calc_img = Image.new("RGB", (1, 1), "white")
|
|
calc_d = ImageDraw.Draw(calc_img)
|
|
|
|
for texts, allowed_width in zip(hor_texts + ver_texts, [width] * len(hor_texts) + [pad_left] * len(ver_texts)):
|
|
items = [] + texts
|
|
texts.clear()
|
|
|
|
for line in items:
|
|
wrapped = wrap(calc_d, line.text, fnt, allowed_width)
|
|
texts += [GridAnnotation(x, line.is_active) for x in wrapped]
|
|
|
|
for line in texts:
|
|
bbox = calc_d.multiline_textbbox((0, 0), line.text, font=fnt)
|
|
line.size = (bbox[2] - bbox[0], bbox[3] - bbox[1])
|
|
|
|
hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in hor_texts]
|
|
ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in ver_texts]
|
|
|
|
pad_top = max(hor_text_heights) + line_spacing * 2
|
|
|
|
result = Image.new("RGB", (im.width + pad_left, im.height + pad_top), "white")
|
|
result.paste(im, (pad_left, pad_top))
|
|
|
|
d = ImageDraw.Draw(result)
|
|
|
|
for col in range(cols):
|
|
x = pad_left + width * col + width / 2
|
|
y = pad_top / 2 - hor_text_heights[col] / 2
|
|
|
|
draw_texts(d, x, y, hor_texts[col])
|
|
|
|
for row in range(rows):
|
|
x = pad_left / 2
|
|
y = pad_top + height * row + height / 2 - ver_text_heights[row] / 2
|
|
|
|
draw_texts(d, x, y, ver_texts[row])
|
|
|
|
return result
|
|
|
|
|
|
def draw_prompt_matrix(im, width, height, all_prompts):
|
|
prompts = all_prompts[1:]
|
|
boundary = math.ceil(len(prompts) / 2)
|
|
|
|
prompts_horiz = prompts[:boundary]
|
|
prompts_vert = prompts[boundary:]
|
|
|
|
hor_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_horiz)] for pos in range(1 << len(prompts_horiz))]
|
|
ver_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_vert)] for pos in range(1 << len(prompts_vert))]
|
|
|
|
return draw_grid_annotations(im, width, height, hor_texts, ver_texts)
|
|
|
|
|
|
def resize_image(resize_mode, im, width, height):
|
|
def resize(im, w, h):
|
|
if opts.upscaler_for_img2img is None or opts.upscaler_for_img2img == "None" or im.mode == 'L':
|
|
return im.resize((w, h), resample=LANCZOS)
|
|
|
|
upscaler = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img][0]
|
|
return upscaler.upscale(im, w, h)
|
|
|
|
if resize_mode == 0:
|
|
res = resize(im, width, height)
|
|
|
|
elif resize_mode == 1:
|
|
ratio = width / height
|
|
src_ratio = im.width / im.height
|
|
|
|
src_w = width if ratio > src_ratio else im.width * height // im.height
|
|
src_h = height if ratio <= src_ratio else im.height * width // im.width
|
|
|
|
resized = resize(im, src_w, src_h)
|
|
res = Image.new("RGB", (width, height))
|
|
res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
|
|
|
|
else:
|
|
ratio = width / height
|
|
src_ratio = im.width / im.height
|
|
|
|
src_w = width if ratio < src_ratio else im.width * height // im.height
|
|
src_h = height if ratio >= src_ratio else im.height * width // im.width
|
|
|
|
resized = resize(im, src_w, src_h)
|
|
res = Image.new("RGB", (width, height))
|
|
res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
|
|
|
|
if ratio < src_ratio:
|
|
fill_height = height // 2 - src_h // 2
|
|
res.paste(resized.resize((width, fill_height), box=(0, 0, width, 0)), box=(0, 0))
|
|
res.paste(resized.resize((width, fill_height), box=(0, resized.height, width, resized.height)), box=(0, fill_height + src_h))
|
|
elif ratio > src_ratio:
|
|
fill_width = width // 2 - src_w // 2
|
|
res.paste(resized.resize((fill_width, height), box=(0, 0, 0, height)), box=(0, 0))
|
|
res.paste(resized.resize((fill_width, height), box=(resized.width, 0, resized.width, height)), box=(fill_width + src_w, 0))
|
|
|
|
return res
|
|
|
|
|
|
invalid_filename_chars = '<>:"/\\|?*\n'
|
|
invalid_filename_prefix = ' '
|
|
invalid_filename_postfix = ' .'
|
|
re_nonletters = re.compile(r'[\s'+string.punctuation+']+')
|
|
max_filename_part_length = 128
|
|
|
|
|
|
def sanitize_filename_part(text, replace_spaces=True):
|
|
if replace_spaces:
|
|
text = text.replace(' ', '_')
|
|
|
|
text = text.translate({ord(x): '_' for x in invalid_filename_chars})
|
|
text = text.lstrip(invalid_filename_prefix)[:max_filename_part_length]
|
|
text = text.rstrip(invalid_filename_postfix)
|
|
return text
|
|
|
|
|
|
def apply_filename_pattern(x, p, seed, prompt):
|
|
max_prompt_words = opts.directories_max_prompt_words
|
|
|
|
if seed is not None:
|
|
x = x.replace("[seed]", str(seed))
|
|
|
|
if prompt is not None:
|
|
x = x.replace("[prompt]", sanitize_filename_part(prompt))
|
|
x = x.replace("[prompt_spaces]", sanitize_filename_part(prompt, replace_spaces=False))
|
|
if "[prompt_words]" in x:
|
|
words = [x for x in re_nonletters.split(prompt or "") if len(x) > 0]
|
|
if len(words) == 0:
|
|
words = ["empty"]
|
|
x = x.replace("[prompt_words]", sanitize_filename_part(" ".join(words[0:max_prompt_words]), replace_spaces=False))
|
|
|
|
if p is not None:
|
|
x = x.replace("[steps]", str(p.steps))
|
|
x = x.replace("[cfg]", str(p.cfg_scale))
|
|
x = x.replace("[width]", str(p.width))
|
|
x = x.replace("[height]", str(p.height))
|
|
x = x.replace("[styles]", sanitize_filename_part(", ".join(p.styles), replace_spaces=False))
|
|
x = x.replace("[sampler]", sanitize_filename_part(sd_samplers.samplers[p.sampler_index].name, replace_spaces=False))
|
|
|
|
x = x.replace("[model_hash]", shared.sd_model.sd_model_hash)
|
|
x = x.replace("[date]", datetime.date.today().isoformat())
|
|
x = x.replace("[datetime]", datetime.datetime.now().strftime("%Y%m%d%H%M%S"))
|
|
x = x.replace("[job_timestamp]", shared.state.job_timestamp)
|
|
|
|
if cmd_opts.hide_ui_dir_config:
|
|
x = re.sub(r'^[\\/]+|\.{2,}[\\/]+|[\\/]+\.{2,}', '', x)
|
|
|
|
return x
|
|
|
|
def get_next_sequence_number(path, basename):
|
|
"""
|
|
Determines and returns the next sequence number to use when saving an image in the specified directory.
|
|
|
|
The sequence starts at 0.
|
|
"""
|
|
result = -1
|
|
if basename != '':
|
|
basename = basename + "-"
|
|
|
|
prefix_length = len(basename)
|
|
for p in os.listdir(path):
|
|
if p.startswith(basename):
|
|
l = os.path.splitext(p[prefix_length:])[0].split('-') #splits the filename (removing the basename first if one is defined, so the sequence number is always the first element)
|
|
try:
|
|
result = max(int(l[0]), result)
|
|
except ValueError:
|
|
pass
|
|
|
|
return result + 1
|
|
|
|
def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix=""):
|
|
if short_filename or prompt is None or seed is None:
|
|
file_decoration = ""
|
|
elif opts.save_to_dirs:
|
|
file_decoration = opts.samples_filename_pattern or "[seed]"
|
|
else:
|
|
file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"
|
|
|
|
if file_decoration != "":
|
|
file_decoration = "-" + file_decoration.lower()
|
|
|
|
file_decoration = apply_filename_pattern(file_decoration, p, seed, prompt) + suffix
|
|
|
|
if extension == 'png' and opts.enable_pnginfo and info is not None:
|
|
pnginfo = PngImagePlugin.PngInfo()
|
|
|
|
if existing_info is not None:
|
|
for k, v in existing_info.items():
|
|
pnginfo.add_text(k, str(v))
|
|
|
|
pnginfo.add_text(pnginfo_section_name, info)
|
|
else:
|
|
pnginfo = None
|
|
|
|
save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)
|
|
|
|
if save_to_dirs:
|
|
dirname = apply_filename_pattern(opts.directories_filename_pattern or "[prompt_words]", p, seed, prompt)
|
|
path = os.path.join(path, dirname)
|
|
|
|
os.makedirs(path, exist_ok=True)
|
|
|
|
if forced_filename is None:
|
|
basecount = get_next_sequence_number(path, basename)
|
|
fullfn = "a.png"
|
|
fullfn_without_extension = "a"
|
|
for i in range(500):
|
|
fn = f"{basecount+i:05}" if basename == '' else f"{basename}-{basecount+i:04}"
|
|
fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
|
|
fullfn_without_extension = os.path.join(path, f"{fn}{file_decoration}")
|
|
if not os.path.exists(fullfn):
|
|
break
|
|
else:
|
|
fullfn = os.path.join(path, f"{forced_filename}.{extension}")
|
|
fullfn_without_extension = os.path.join(path, forced_filename)
|
|
|
|
def exif_bytes():
|
|
return piexif.dump({
|
|
"Exif": {
|
|
piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode")
|
|
},
|
|
})
|
|
|
|
if extension.lower() in ("jpg", "jpeg", "webp"):
|
|
image.save(fullfn, quality=opts.jpeg_quality)
|
|
if opts.enable_pnginfo and info is not None:
|
|
piexif.insert(exif_bytes(), fullfn)
|
|
else:
|
|
image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo)
|
|
|
|
target_side_length = 4000
|
|
oversize = image.width > target_side_length or image.height > target_side_length
|
|
if opts.export_for_4chan and (oversize or os.stat(fullfn).st_size > 4 * 1024 * 1024):
|
|
ratio = image.width / image.height
|
|
|
|
if oversize and ratio > 1:
|
|
image = image.resize((target_side_length, image.height * target_side_length // image.width), LANCZOS)
|
|
elif oversize:
|
|
image = image.resize((image.width * target_side_length // image.height, target_side_length), LANCZOS)
|
|
|
|
image.save(fullfn_without_extension + ".jpg", quality=opts.jpeg_quality)
|
|
if opts.enable_pnginfo and info is not None:
|
|
piexif.insert(exif_bytes(), fullfn_without_extension + ".jpg")
|
|
|
|
if opts.save_txt and info is not None:
|
|
with open(f"{fullfn_without_extension}.txt", "w", encoding="utf8") as file:
|
|
file.write(info + "\n")
|
|
|
|
|
|
class Upscaler:
|
|
name = "Lanczos"
|
|
|
|
def do_upscale(self, img):
|
|
return img
|
|
|
|
def upscale(self, img, w, h):
|
|
for i in range(3):
|
|
if img.width >= w and img.height >= h:
|
|
break
|
|
|
|
img = self.do_upscale(img)
|
|
|
|
if img.width != w or img.height != h:
|
|
img = img.resize((int(w), int(h)), resample=LANCZOS)
|
|
|
|
return img
|
|
|
|
|
|
class UpscalerNone(Upscaler):
|
|
name = "None"
|
|
|
|
def upscale(self, img, w, h):
|
|
return img
|
|
|
|
|
|
modules.shared.sd_upscalers.append(UpscalerNone())
|
|
modules.shared.sd_upscalers.append(Upscaler())
|