import datetime import sys import traceback 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, PngImagePlugin from fonts.ttf import Roboto import string import json from modules import sd_samplers, shared, script_callbacks 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 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) cols = math.ceil(len(imgs) / rows) params = script_callbacks.ImageGridLoopParams(imgs, cols, rows) script_callbacks.image_grid_callback(params) w, h = imgs[0].size grid = Image.new('RGB', size=(params.cols * w, params.rows * h), color='black') for i, img in enumerate(params.imgs): grid.paste(img, box=(i % params.cols * w, i // params.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 get_font(fontsize): try: return ImageFont.truetype(opts.font or Roboto, fontsize) except Exception: return ImageFont.truetype(Roboto, fontsize) def draw_texts(drawing, draw_x, draw_y, lines, initial_fnt, initial_fontsize): for i, line in enumerate(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) 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]) 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 = 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], fnt, fontsize) 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], fnt, fontsize) 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, 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] assert len(upscalers) > 0, f"could not find upscaler named {upscaler_name}" 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 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 + ']+') re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)") re_pattern_arg = re.compile(r"(.*)<([^>]*)>$") max_filename_part_length = 128 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 class FilenameGenerator: replacements = { 'seed': lambda self: self.seed if self.seed is not None else '', '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), '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.model_name, 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': 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(), } default_time_format = '%Y%m%d%H%M%S' def __init__(self, p, seed, prompt, image): self.p = p self.seed = seed self.prompt = prompt self.image = image 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 len(style) > 0: 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 len(x) > 0] 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 len(args) > 0 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 as _: time_zone = None time_zone_time = time_datetime.astimezone(time_zone) try: formatted_time = time_zone_time.strftime(time_format) except (ValueError, TypeError) as _: formatted_time = time_zone_time.strftime(self.default_time_format) return sanitize_filename_part(formatted_time, replace_spaces=False) def apply(self, x): res = '' for m in re_pattern.finditer(x): text, pattern = m.groups() res += text if pattern is None: 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 print(f"Error adding [{pattern}] to filename", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) if replacement is not None: res += str(replacement) continue res += f'[{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 = 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="", 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. Otherwise None. """ namegen = FilenameGenerator(p, seed, prompt, image) 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]" add_number = opts.save_images_add_number or file_decoration == '' if file_decoration != "" and add_number: file_decoration = "-" + file_decoration file_decoration = namegen.apply(file_decoration) + suffix 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 another process detects new image in the directory temp_file_path = filename_without_extension + ".tmp" image_format = Image.registered_extensions()[extension] if extension.lower() == '.png': pnginfo_data = PngImagePlugin.PngInfo() if opts.enable_pnginfo: for k, v in params.pnginfo.items(): pnginfo_data.add_text(k, str(v)) image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality, pnginfo=pnginfo_data) elif extension.lower() in (".jpg", ".jpeg", ".webp"): if image_to_save.mode == 'RGBA': image_to_save = image_to_save.convert("RGB") image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality) if opts.enable_pnginfo and info is not None: exif_bytes = piexif.dump({ "Exif": { piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode") }, }) piexif.insert(exif_bytes, temp_file_path) else: image_to_save.save(temp_file_path, format=image_format, quality=opts.jpeg_quality) # atomically rename the file with correct extension os.replace(temp_file_path, filename_without_extension + extension) fullfn_without_extension, extension = os.path.splitext(params.filename) _atomically_save_image(image, fullfn_without_extension, extension) image.already_saved_as = fullfn 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) _atomically_save_image(image, fullfn_without_extension, ".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(info + "\n") else: txt_fullfn = None script_callbacks.image_saved_callback(params) return fullfn, txt_fullfn def read_info_from_image(image): items = image.info or {} geninfo = items.pop('parameters', None) if "exif" in items: exif = piexif.load(items["exif"]) 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") items['exif comment'] = exif_comment geninfo = exif_comment for field in ['jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif', 'loop', 'background', 'timestamp', 'duration']: 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: print("Error parsing NovelAI image generation parameters:", file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) return geninfo, items def image_data(data): try: image = Image.open(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 '', 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')