from __future__ import annotations
import datetime
import functools
import pytz
import io
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, ImageColor, PngImagePlugin, ImageOps
# pillow_avif needs to be imported somewhere in code for it to work
import pillow_avif # noqa: F401
import string
import json
import hashlib
from modules import sd_samplers, shared, script_callbacks, errors
from modules
.paths_internal import roboto_ttf_file
from modules
.shared import opts
LANCZOS = (Image
.Resampling
.LANCZOS if hasattr(Image, 'Resampling') else Image
.LANCZOS)
def get_font(fontsize: int):
try:
return ImageFont
.truetype(opts
.font or roboto_ttf_file, fontsize)
except Exception:
return ImageFont
.truetype(roboto_ttf_file, fontsize)
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
elif opts
.grid_prevent_empty_spots:
rows = math
.floor(math
.sqrt(len(imgs)))
while len(imgs) % rows != 0:
rows -= 1
else:
rows = math
.sqrt(len(imgs))
rows = round(rows)
if rows > len(imgs):
rows = len(imgs)
cols = math
.ceil(len(imgs) / rows)
params = script_callbacks
.Image
GridLoopParams(imgs, cols, rows)
script_callbacks
.image_
grid_callback(params)
w, h = map(max, zip(*(img
.size for img in imgs)))
grid_background_color = ImageColor
.getcolor(opts
.grid_background_color, 'RGB')
grid = Image
.new('RGB', size=(params
.cols * w, params
.rows * h), color=
grid_background_color)
for i, img in enumerate(params
.imgs):
img_w, img_h = img
.size
w_offset, h_offset = 0 if img_w == w else (w - img_w) // 2, 0 if img_h == h else (h - img_h) // 2
grid.paste(img, box=(i % params
.cols * w + w_offset, i // params
.cols * h + h_offset))
return
grid
class
Grid(namedtuple("_
Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])):
@property
def tile_count(self) -> int:
"""
The total number of tiles in
the grid.
"""
return sum(len(row[2]) for row in self
.tiles)
def split_
grid(image: Image
.Image, tile_w: int = 512, tile_h: int = 512, overlap: int = 64) ->
Grid:
w, h = image
.size
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, margin=0):
color_active = ImageColor
.getcolor(opts
.grid_text_active_color, 'RGB')
color_inactive = ImageColor
.getcolor(opts
.grid_text_inactive_color, 'RGB')
color_background = ImageColor
.getcolor(opts
.grid_background_color, 'RGB')
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, initial_fnt, initial_fontsize):
for line in lines:
fnt = initial_fnt
fontsize = initial_fontsize
while drawing
.multiline_textsize(line
.text, font=fnt)[0] > line
.allowed_width and fontsize > 0:
fontsize -= 1
fnt = get_font(fontsize)
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
fnt = get_font(fontsize)
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), color_background)
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])
line
.allowed_width = allowed_width
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 = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
result = Image
.new("RGB", (im
.width + pad_left + margin * (cols-1), im
.height + pad_top + margin * (rows-1)), color_background)
for row in range(rows):
for col in range(cols):
cell = im
.crop((width * col, height * row, width * (col+1), height * (row+1)))
result
.paste(cell, (pad_left + (width + margin) * col, pad_top + (height + margin) * row))
d = ImageDraw
.Draw(result)
for col in range(cols):
x = pad_left + (width + margin) * col + width / 2
y = pad_top / 2 - hor_text_heights[col] / 2
draw_texts(d, x, y, hor_texts[col], fnt, fontsize)
for row in range(rows):
x = pad_left / 2
y = pad_top + (height + margin) * row + height / 2 - ver_text_heights[row] / 2
draw_texts(d, x, y, ver_texts[row], fnt, fontsize)
return result
def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
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, margin)
def resize_image(resize_mode, im, width, height, upscaler_name=None):
"""
Resizes an image with
the specified resize_mode, width, and height
.
Args:
resize_mode:
The mode to use when resizing
the image
.
0: Resize
the image to
the specified width and height
.
1: Resize
the image to fill
the specified width and height, maintaining
the aspect ratio, and
then center
the image within
the dimensions, cropping
the excess
.
2: Resize
the image to fit within
the specified width and height, maintaining
the aspect ratio, and
then center
the image within
the dimensions,
filling empty with data from image
.
im:
The image to resize
.
width:
The width to resize
the image to
.
height:
The height to resize
the image to
.
upscaler_name:
The name of
the upscaler to use
. If not provided, defaults to opts
.upscaler_for_img2img
.
"""
upscaler_name = upscaler_name or opts
.upscaler_for_img2img
def resize(im, w, h):
if upscaler_name is None or upscaler_name == "None" or im
.mode == 'L':
return im
.resize((w, h), resample=LANCZOS)
scale = max(w / im
.width, h / im
.height)
if scale > 1
.0:
upscalers = [x for x in shared
.sd_upscalers if x
.name == upscaler_name]
if len(upscalers) == 0:
upscaler = shared
.sd_upscalers[0]
print(f"could not find upscaler named {upscaler_name or '<empty string>'}, using {upscaler
.name} as a fallback")
else:
upscaler = upscalers[0]
im = upscaler
.scaler
.upscale(im, scale, upscaler
.data_path)
if im
.width != w or im
.height != h:
im = im
.resize((w, h), resample=LANCZOS)
return im
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
if fill_height > 0:
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
if fill_width > 0:
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
if not shared
.cmd_opts
.unix_filenames_sanitization:
invalid_filename_chars = '#<>:"/\\|?*\n\r\t'
else:
invalid_filename_chars = '/'
invalid_filename_prefix = ' '
invalid_filename_postfix = '
.'
re_nonletters = re
.compile(r'[\s' + string
.punctuation + ']+')
re_pattern = re
.compile(r"(
.*?)(?:\[([^\[\]]+)\]|$)")
re_pattern_arg = re
.compile(r"(
.*)<([^>]*)>$")
max_filename_part_length = shared
.cmd_opts
.filenames_max_length
NOTHING_AND_SKIP_PREVIOUS_TEXT = object()
def sanitize_filename_part(text, replace_spaces=True):
if text is None:
return None
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
@functools
.cache
def get_scheduler_str(sampler_name, scheduler_name):
"""Returns {Scheduler} if
the scheduler is applicable to
the sampler"""
if scheduler_name == 'Automatic':
config = sd_samplers
.find_sampler_config(sampler_name)
scheduler_name = config
.options
.get('scheduler', 'Automatic')
return scheduler_name
.capitalize()
@functools
.cache
def get_sampler_scheduler_str(sampler_name, scheduler_name):
"""Returns
the '{Sampler} {Scheduler}' if
the scheduler is applicable to
the sampler"""
return f'{sampler_name} {get_scheduler_str(sampler_name, scheduler_name)}'
def get_sampler_scheduler(p, sampler):
"""Returns '{Sampler} {Scheduler}' / '{Scheduler}' / 'NOTHING_AND_SKIP_PREVIOUS_TEXT'"""
if hasattr(p, 'scheduler') and hasattr(p, 'sampler_name'):
if sampler:
sampler_scheduler = get_sampler_scheduler_str(p
.sampler_name, p
.scheduler)
else:
sampler_scheduler = get_scheduler_str(p
.sampler_name, p
.scheduler)
return sanitize_filename_part(sampler_scheduler, replace_spaces=False)
return NOTHING_AND_SKIP_PREVIOUS_TEXT
class FilenameGenerator:
replacements = {
'basename': lambda self: self
.basename or 'img',
'seed': lambda self: self
.seed if self
.seed is not None else '',
'seed_first': lambda self: self
.seed if self
.p
.batch_size == 1 else self
.p
.all_seeds[0],
'seed_last': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self
.p
.batch_size == 1 else self
.p
.all_seeds[-1],
'steps': lambda self: self
.p and self
.p
.steps,
'cfg': lambda self: self
.p and self
.p
.cfg_scale,
'width': lambda self: self
.image
.width,
'height': lambda self: self
.image
.height,
'styles': lambda self: self
.p and sanitize_filename_part(", "
.join([style for style in self
.p
.styles if not style == "None"]) or "None", replace_spaces=False),
'sampler': lambda self: self
.p and sanitize_filename_part(self
.p
.sampler_name, replace_spaces=False),
'sampler_scheduler': lambda self: self
.p and get_sampler_scheduler(self
.p, True),
'scheduler': lambda self: self
.p and get_sampler_scheduler(self
.p, False),
'model_hash': lambda self: getattr(self
.p, "sd_model_hash", shared
.sd_model
.sd_model_hash),
'model_name': lambda self: sanitize_filename_part(shared
.sd_model
.sd_checkpoint_info
.name_for_extra, replace_spaces=False),
'date': lambda self: datetime
.datetime
.now()
.strftime('%Y-%m-%d'),
'datetime': lambda self, *args: self
.datetime(*args), # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
'job_timestamp': lambda self: getattr(self
.p, "job_timestamp", shared
.state
.job_timestamp),
'prompt_hash': lambda self, *args: self
.string_hash(self
.prompt, *args),
'negative_prompt_hash': lambda self, *args: self
.string_hash(self
.p
.negative_prompt, *args),
'full_prompt_hash': lambda self, *args: self
.string_hash(f"{self
.p
.prompt} {self
.p
.negative_prompt}", *args), # a space in between to create a unique string
'prompt': lambda self: sanitize_filename_part(self
.prompt),
'prompt_no_styles': lambda self: self
.prompt_no_style(),
'prompt_spaces': lambda self: sanitize_filename_part(self
.prompt, replace_spaces=False),
'prompt_words': lambda self: self
.prompt_words(),
'batch_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self
.p
.batch_size == 1 or self
.zip else self
.p
.batch_index + 1,
'batch_size': lambda self: self
.p
.batch_size,
'generation_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if (self
.p
.n_iter == 1 and self
.p
.batch_size == 1) or self
.zip else self
.p
.iteration * self
.p
.batch_size + self
.p
.batch_index + 1,
'hasprompt': lambda self, *args: self
.hasprompt(*args), # accepts formats:[hasprompt<prompt1|default><prompt2>
..]
'clip_skip': lambda self: opts
.data["CLIP_stop_at_last_layers"],
'denoising': lambda self: self
.p
.denoising_strength if self
.p and self
.p
.denoising_strength else NOTHING_AND_SKIP_PREVIOUS_TEXT,
'user': lambda self: self
.p
.user,
'vae_filename': lambda self: self
.get_vae_filename(),
'none': lambda self: '', # Overrides
the default, so you can get just
the sequence number
'image_hash': lambda self, *args: self
.image_hash(*args) # accepts formats: [image_hash<length>] default full hash
}
default_time_format = '%Y%m%d%H%M%S'
def __init__(self, p, seed, prompt, image, zip=False, basename=""):
self
.p = p
self
.seed = seed
self
.prompt = prompt
self
.image = image
self
.zip = zip
self
.basename = basename
def get_vae_filename(self):
"""Get
the name of
the VAE file
."""
import modules
.sd_vae as sd_vae
if sd_vae
.loaded_vae_file is None:
return "NoneType"
file_name = os
.path
.basename(sd_vae
.loaded_vae_file)
split_file_name = file_name
.split('
.')
if len(split_file_name) > 1 and split_file_name[0] == '':
return split_file_name[1] # if
the first character of
the filename is "
."
then [1] is obtained
.
else:
return split_file_name[0]
def hasprompt(self, *args):
lower = self
.prompt
.lower()
if self
.p is None or self
.prompt is None:
return None
outres = ""
for arg in args:
if arg != "":
division = arg
.split("|")
expected = division[0]
.lower()
default = division[1] if len(division) > 1 else ""
if lower
.find(expected) >= 0:
outres = f'{outres}{expected}'
else:
outres = outres if default == "" else f'{outres}{default}'
return sanitize_filename_part(outres)
def prompt_no_style(self):
if self
.p is None or self
.prompt is None:
return None
prompt_no_style = self
.prompt
for style in shared
.prompt_styles
.get_style_prompts(self
.p
.styles):
if style:
for part in style
.split("{prompt}"):
prompt_no_style = prompt_no_style
.replace(part, "")
.replace(", ,", ",")
.strip()
.strip(',')
prompt_no_style = prompt_no_style
.replace(style, "")
.strip()
.strip(',')
.strip()
return sanitize_filename_part(prompt_no_style, replace_spaces=False)
def prompt_words(self):
words = [x for x in re_nonletters
.split(self
.prompt or "") if x]
if len(words) == 0:
words = ["empty"]
return sanitize_filename_part(" "
.join(words[0:opts
.directories_max_prompt_words]), replace_spaces=False)
def datetime(self, *args):
time_datetime = datetime
.datetime
.now()
time_format = args[0] if (args and args[0] != "") else self
.default_time_format
try:
time_zone = pytz
.timezone(args[1]) if len(args) > 1 else None
except pytz
.exceptions
.UnknownTimeZoneError:
time_zone = None
time_zone_time = time_datetime
.astimezone(time_zone)
try:
formatted_time = time_zone_time
.strftime(time_format)
except (ValueError, TypeError):
formatted_time = time_zone_time
.strftime(self
.default_time_format)
return sanitize_filename_part(formatted_time, replace_spaces=False)
def image_hash(self, *args):
length = int(args[0]) if (args and args[0] != "") else None
return hashlib
.sha256(self
.image
.tobytes())
.hexdigest()[0:length]
def string_hash(self, text, *args):
length = int(args[0]) if (args and args[0] != "") else 8
return hashlib
.sha256(text
.encode())
.hexdigest()[0:length]
def apply(self, x):
res = ''
for m in re_pattern
.finditer(x):
text, pattern = m
.groups()
if pattern is None:
res += text
continue
pattern_args = []
while True:
m = re_pattern_arg
.match(pattern)
if m is None:
break
pattern, arg = m
.groups()
pattern_args
.insert(0, arg)
fun = self
.replacements
.get(pattern
.lower())
if fun is not None:
try:
replacement = fun(self, *pattern_args)
except Exception:
replacement = None
errors
.report(f"Error adding [{pattern}] to filename", exc_info=True)
if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
continue
elif replacement is not None:
res += text + str(replacement)
continue
res += f'{text}[{pattern}]'
return res
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 = f"{basename}-"
prefix_length = len(basename)
for p in os
.listdir(path):
if p
.startswith(basename):
parts = 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(parts[0]), result)
except ValueError:
pass
return result + 1
def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_pnginfo=None, pnginfo_section_name='parameters'):
"""
Saves image to filename, including geninfo as text information for generation info
.
For PNG images, geninfo is added to existing pnginfo dictionary using
the pnginfo_section_name argument as key
.
For JPG images,
there's no dictionary and geninfo just replaces
the EXIF description
.
"""
if extension is None:
extension = os
.path
.splitext(filename)[1]
image_format = Image
.registered_extensions()[extension]
if extension
.lower() == '
.png':
existing_pnginfo = existing_pnginfo or {}
if opts
.enable_pnginfo:
existing_pnginfo[pnginfo_section_name] = geninfo
if opts
.enable_pnginfo:
pnginfo_data = PngImagePlugin
.PngInfo()
for k, v in (existing_pnginfo or {})
.items():
pnginfo_data
.add_text(k, str(v))
else:
pnginfo_data = None
image
.save(filename, format=image_format, quality=opts
.jpeg_quality, pnginfo=pnginfo_data)
elif extension
.lower() in ("
.jpg", "
.jpeg", "
.webp"):
if image
.mode == 'RGBA':
image = image
.convert("RGB")
elif image
.mode == 'I;16':
image = image
.point(lambda p: p * 0
.0038910505836576)
.convert("RGB" if extension
.lower() == "
.webp" else "L")
image
.save(filename, format=image_format, quality=opts
.jpeg_quality, lossless=opts
.webp_lossless)
if opts
.enable_pnginfo and geninfo is not None:
exif_bytes = piexif
.dump({
"Exif": {
piexif
.ExifIFD
.UserComment: piexif
.helper
.UserComment
.dump(geninfo or "", encoding="unicode")
},
})
piexif
.insert(exif_bytes, filename)
elif extension
.lower() == '
.avif':
if opts
.enable_pnginfo and geninfo is not None:
exif_bytes = piexif
.dump({
"Exif": {
piexif
.ExifIFD
.UserComment: piexif
.helper
.UserComment
.dump(geninfo or "", encoding="unicode")
},
})
else:
exif_bytes = None
image
.save(filename,format=image_format, quality=opts
.jpeg_quality, exif=exif_bytes)
elif extension
.lower() == "
.gif":
image
.save(filename, format=image_format, comment=geninfo)
else:
image
.save(filename, format=image_format, quality=opts
.jpeg_quality)
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="", save_to_dirs=None):
"""Save an image
.
Args:
image (`PIL
.Image`):
The image to be saved
.
path (`str`):
The directory to save
the image
. Note,
the option `save_to_dirs` will make
the image to be saved into a sub directory
.
basename (`str`):
The base filename which will be applied to `filename pattern`
.
seed, prompt, short_filename,
extension (`str`):
Image file extension, default is `png`
.
pngsectionname (`str`):
Specify
the name of
the section which `info` will be saved in
.
info (`str` or `PngImagePlugin
.iTXt`):
PNG info chunks
.
existing_info (`dict`):
Additional PNG info
. `existing_info == {pngsectionname: info,
...}`
no_prompt:
TODO I don't know its meaning
.
p (`StableDiffusionProcessing`)
forced_filename (`str`):
If specified, `basename` and filename pattern will be ignored
.
save_to_dirs (bool):
If true,
the image will be saved into a subdirectory of `path`
.
Returns: (fullfn, txt_fullfn)
fullfn (`str`):
The full path of
the saved imaged
.
txt_fullfn (`str` or None):
If a text file is saved for this image, this will be its full path
. O
therwise None
.
"""
namegen = FilenameGenerator(p, seed, prompt, image, basename=basename)
# WebP and JPG formats have maximum dimension limits of 16383 and 65535 respectively
. switch to PNG which has a much higher limit
if (image
.height > 65535 or image
.width > 65535) and extension
.lower() in ("jpg", "jpeg") or (image
.height > 16383 or image
.width > 16383) and extension
.lower() == "webp":
print('Image dimensions too large; saving as PNG')
extension = "png"
if save_to_dirs is 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 = namegen
.apply(opts
.directories_filename_pattern or "[prompt_words]")
.lstrip(' ')
.rstrip('\\ /')
path = os
.path
.join(path, dirname)
os
.makedirs(path, exist_ok=True)
if forced_filename is None:
if short_filename 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]"
file_decoration = namegen
.apply(file_decoration) + suffix
add_number = opts
.save_images_add_number or file_decoration == ''
if file_decoration != "" and add_number:
file_decoration = f"-{file_decoration}"
if add_number:
basecount = get_next_sequence_number(path, basename)
fullfn = None
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}")
if not os
.path
.exists(fullfn):
break
else:
fullfn = os
.path
.join(path, f"{file_decoration}
.{extension}")
else:
fullfn = os
.path
.join(path, f"{forced_filename}
.{extension}")
pnginfo = existing_info or {}
if info is not None:
pnginfo[pnginfo_section_name] = info
params = script_callbacks
.ImageSaveParams(image, p, fullfn, pnginfo)
script_callbacks
.before_image_saved_callback(params)
image = params
.image
fullfn = params
.filename
info = params
.pnginfo
.get(pnginfo_section_name, None)
def _atomically_save_image(image_to_save, filename_without_extension, extension):
"""
save image with
.tmp extension to avoid race condition when ano
ther process detects new image in
the directory
"""
temp_file_path = f"{filename_without_extension}
.tmp"
save_image_with_geninfo(image_to_save, info, temp_file_path, extension, existing_pnginfo=params
.pnginfo, pnginfo_section_name=pnginfo_section_name)
filename = filename_without_extension + extension
if shared
.opts
.save_images_replace_action != "Replace":
n = 0
while os
.path
.exists(filename):
n += 1
filename = f"{filename_without_extension}-{n}{extension}"
os
.replace(temp_file_path, filename)
fullfn_without_extension, extension = os
.path
.splitext(params
.filename)
if hasattr(os, 'statvfs'):
max_name_len = os
.statvfs(path)
.f_namemax
fullfn_without_extension = fullfn_without_extension[:max_name_len - max(4, len(extension))]
params
.filename = fullfn_without_extension + extension
fullfn = params
.filename
_atomically_save_image(image, fullfn_without_extension, extension)
image
.already_saved_as = fullfn
oversize = image
.width > opts
.target_side_length or image
.height > opts
.target_side_length
if opts
.export_for_4chan and (oversize or os
.stat(fullfn)
.st_size > opts
.img_downscale_threshold * 1024 * 1024):
ratio = image
.width / image
.height
resize_to = None
if oversize and ratio > 1:
resize_to = round(opts
.target_side_length), round(image
.height * opts
.target_side_length / image
.width)
elif oversize:
resize_to = round(image
.width * opts
.target_side_length / image
.height), round(opts
.target_side_length)
if resize_to is not None:
try:
# Resizing image with LANCZOS could throw an exception if e
.g
. image mode is I;16
image = image
.resize(resize_to, LANCZOS)
except Exception:
image = image
.resize(resize_to)
try:
_atomically_save_image(image, fullfn_without_extension, "
.jpg")
except Exception as e:
errors
.display(e, "saving image as downscaled JPG")
if opts
.save_txt and info is not None:
txt_fullfn = f"{fullfn_without_extension}
.txt"
with open(txt_fullfn, "w", encoding="utf8") as file:
file
.write(f"{info}\n")
else:
txt_fullfn = None
script_callbacks
.image_saved_callback(params)
return fullfn, txt_fullfn
IGNORED_INFO_KEYS = {
'jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',
'loop', 'background', 'timestamp', 'duration', 'progressive', 'progression',
'icc_profile', 'chromaticity', 'photoshop',
}
def read_info_from_image(image: Image
.Image) -> tuple[str | None, dict]:
items = (image
.info or {})
.copy()
geninfo = items
.pop('parameters', None)
if "exif" in items:
exif_data = items["exif"]
try:
exif = piexif
.load(exif_data)
except OSError:
# memory / exif was not valid so piexif tried to read from a file
exif = None
exif_comment = (exif or {})
.get("Exif", {})
.get(piexif
.ExifIFD
.UserComment, b'')
try:
exif_comment = piexif
.helper
.UserComment
.load(exif_comment)
except ValueError:
exif_comment = exif_comment
.decode('utf8', errors="ignore")
if exif_comment:
geninfo = exif_comment
elif "comment" in items: # for gif
if isinstance(items["comment"], bytes):
geninfo = items["comment"]
.decode('utf8', errors="ignore")
else:
geninfo = items["comment"]
for field in IGNORED_INFO_KEYS:
items
.pop(field, None)
if items
.get("Software", None) == "NovelAI":
try:
json_info = json
.loads(items["Comment"])
sampler = sd_samplers
.samplers_map
.get(json_info["sampler"], "Euler a")
geninfo = f"""{items["Description"]}
Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image
.width}x{image
.height}, Clip skip: 2, ENSD: 31337"""
except Exception:
errors
.report("Error parsing NovelAI image generation parameters", exc_info=True)
return geninfo, items
def image_data(data):
import gradio as gr
try:
image = read(io
.BytesIO(data))
textinfo, _ = read_info_from_image(image)
return textinfo, None
except Exception:
pass
try:
text = data
.decode('utf8')
assert len(text) < 10000
return text, None
except Exception:
pass
return gr
.update(), None
def flatten(img, bgcolor):
"""replaces transparency with bgcolor (example: "#ffffff"), returning an RGB mode image with no transparency"""
if img
.mode == "RGBA":
background = Image
.new('RGBA', img
.size, bgcolor)
background
.paste(img, mask=img)
img = background
return img
.convert('RGB')
def read(fp, **kwargs):
image = Image
.open(fp, **kwargs)
image = fix_image(image)
return image
def fix_image(image: Image
.Image):
if image is None:
return None
try:
image = ImageOps
.exif_transpose(image)
image = fix_png_transparency(image)
except Exception:
pass
return image
def fix_png_transparency(image: Image
.Image):
if image
.mode not in ("RGB", "P") or not isinstance(image
.info
.get("transparency"), bytes):
return image
image = image
.convert("RGBA")
return image详细解释一下
这是一个关于如何在给定的宽为w，高为h的网格中填充单元格的问题，以满足每行从左侧开始连续填充的全满单元格数ri，以及每列从顶部开始连续填充的全满单元格数cj。题目要求找到满足条件的填充方式数量，并对10^9 + 7取模。给定输入包括h、w、ri数组和cj数组，需要求解可能的填充方案数。
These are the rr and cc values of some 3×43×4 grid. Black cells are full and white cells are empty.
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