import datetime 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 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 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) 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) scale = max(w / im.width, h / im.height) if scale > 1.0: upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img] assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}" 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 + ']+') 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 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([x for x in p.styles if not x == "None"]) or "None", 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]", getattr(p, "sd_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]", getattr(p, "job_timestamp", shared.state.job_timestamp)) # Apply [prompt] at last. Because it may contain any replacement word.^M if prompt is not None: x = x.replace("[prompt]", sanitize_filename_part(prompt)) if "[prompt_no_styles]" in x: prompt_no_style = prompt for style in shared.prompt_styles.get_style_prompts(p.styles): if len(style) > 0: style_parts = [y for y in style.split("{prompt}")] for part in style_parts: prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',') prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip() x = x.replace("[prompt_no_styles]", sanitize_filename_part(prompt_no_style, replace_spaces=False)) 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 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="", 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. ''' 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 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 = apply_filename_pattern(opts.directories_filename_pattern or "[prompt_words]", p, seed, prompt).strip('\\ /') 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: txt_fullfn = f"{fullfn_without_extension}.txt" with open(txt_fullfn, "w", encoding="utf8") as file: file.write(info + "\n") else: txt_fullfn = None return fullfn, txt_fullfn def image_data(data): try: image = Image.open(io.BytesIO(data)) textinfo = image.text["parameters"] return textinfo, None except Exception: pass try: text = data.decode('utf8') assert len(text) < 10000 return text, None except Exception: pass return '', None