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) 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 + ']+') 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], [datetime