import typing import numpy as np import datetime import random import math import os import cv2 import json import hashlib from PIL import Image import modules.sdxl_styles LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS) HASH_SHA256_LENGTH = 10 def erode_or_dilate(x, k): k = int(k) if k > 0: return cv2.dilate(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=k) if k < 0: return cv2.erode(x, kernel=np.ones(shape=(3, 3), dtype=np.uint8), iterations=-k) return x def resample_image(im, width, height): im = Image.fromarray(im) im = im.resize((int(width), int(height)), resample=LANCZOS) return np.array(im) def resize_image(im, width, height, resize_mode=1): """ 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. """ im = Image.fromarray(im) def resize(im, w, h): return im.resize((w, h), resample=LANCZOS) 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 np.array(res) def get_shape_ceil(h, w): return math.ceil(((h * w) ** 0.5) / 64.0) * 64.0 def get_image_shape_ceil(im): H, W = im.shape[:2] return get_shape_ceil(H, W) def set_image_shape_ceil(im, shape_ceil): shape_ceil = float(shape_ceil) H_origin, W_origin, _ = im.shape H, W = H_origin, W_origin for _ in range(256): current_shape_ceil = get_shape_ceil(H, W) if abs(current_shape_ceil - shape_ceil) < 0.1: break k = shape_ceil / current_shape_ceil H = int(round(float(H) * k / 64.0) * 64) W = int(round(float(W) * k / 64.0) * 64) if H == H_origin and W == W_origin: return im return resample_image(im, width=W, height=H) def HWC3(x): assert x.dtype == np.uint8 if x.ndim == 2: x = x[:, :, None] assert x.ndim == 3 H, W, C = x.shape assert C == 1 or C == 3 or C == 4 if C == 3: return x if C == 1: return np.concatenate([x, x, x], axis=2) if C == 4: color = x[:, :, 0:3].astype(np.float32) alpha = x[:, :, 3:4].astype(np.float32) / 255.0 y = color * alpha + 255.0 * (1.0 - alpha) y = y.clip(0, 255).astype(np.uint8) return y def remove_empty_str(items, default=None): items = [x for x in items if x != ""] if len(items) == 0 and default is not None: return [default] return items def join_prompts(*args, **kwargs): prompts = [str(x) for x in args if str(x) != ""] if len(prompts) == 0: return "" if len(prompts) == 1: return prompts[0] return ', '.join(prompts) def generate_temp_filename(folder='./outputs/', extension='png'): current_time = datetime.datetime.now() date_string = current_time.strftime("%Y-%m-%d") time_string = current_time.strftime("%Y-%m-%d_%H-%M-%S") random_number = random.randint(1000, 9999) filename = f"{time_string}_{random_number}.{extension}" result = os.path.join(folder, date_string, filename) return date_string, os.path.abspath(result), filename def get_files_from_folder(folder_path, extensions=None, name_filter=None): if not os.path.isdir(folder_path): raise ValueError("Folder path is not a valid directory.") filenames = [] for root, dirs, files in os.walk(folder_path, topdown=False): relative_path = os.path.relpath(root, folder_path) if relative_path == ".": relative_path = "" for filename in sorted(files, key=lambda s: s.casefold()): _, file_extension = os.path.splitext(filename) if (extensions is None or file_extension.lower() in extensions) and (name_filter is None or name_filter in _): path = os.path.join(relative_path, filename) filenames.append(path) return filenames def sha256(filename, use_addnet_hash=False, length=HASH_SHA256_LENGTH): print(f"Calculating sha256 for {filename}: ", end='') if use_addnet_hash: with open(filename, "rb") as file: sha256_value = addnet_hash_safetensors(file) else: sha256_value = calculate_sha256(filename) print(f"{sha256_value}") return sha256_value[:length] if length is not None else sha256_value def addnet_hash_safetensors(b): """kohya-ss hash for safetensors from https://github.com/kohya-ss/sd-scripts/blob/main/library/train_util.py""" hash_sha256 = hashlib.sha256() blksize = 1024 * 1024 b.seek(0) header = b.read(8) n = int.from_bytes(header, "little") offset = n + 8 b.seek(offset) for chunk in iter(lambda: b.read(blksize), b""): hash_sha256.update(chunk) return hash_sha256.hexdigest() def calculate_sha256(filename) -> str: hash_sha256 = hashlib.sha256() blksize = 1024 * 1024 with open(filename, "rb") as f: for chunk in iter(lambda: f.read(blksize), b""): hash_sha256.update(chunk) return hash_sha256.hexdigest() def quote(text): if ',' not in str(text) and '\n' not in str(text) and ':' not in str(text): return text return json.dumps(text, ensure_ascii=False) def unquote(text): if len(text) == 0 or text[0] != '"' or text[-1] != '"': return text try: return json.loads(text) except Exception: return text def unwrap_style_text_from_prompt(style_text, prompt): """ Checks the prompt to see if the style text is wrapped around it. If so, returns True plus the prompt text without the style text. Otherwise, returns False with the original prompt. Note that the "cleaned" version of the style text is only used for matching purposes here. It isn't returned; the original style text is not modified. """ stripped_prompt = prompt stripped_style_text = style_text if "{prompt}" in stripped_style_text: # Work out whether the prompt is wrapped in the style text. If so, we # return True and the "inner" prompt text that isn't part of the style. try: left, right = stripped_style_text.split("{prompt}", 2) except ValueError as e: # If the style text has multple "{prompt}"s, we can't split it into # two parts. This is an error, but we can't do anything about it. print(f"Unable to compare style text to prompt:\n{style_text}") print(f"Error: {e}") return False, prompt, '' left_pos = stripped_prompt.find(left) right_pos = stripped_prompt.find(right) if 0 <= left_pos < right_pos: real_prompt = stripped_prompt[left_pos + len(left):right_pos] prompt = stripped_prompt.replace(left + real_prompt + right, '', 1) if prompt.startswith(", "): prompt = prompt[2:] if prompt.endswith(", "): prompt = prompt[:-2] return True, prompt, real_prompt else: # Work out whether the given prompt starts with the style text. If so, we # return True and the prompt text up to where the style text starts. if stripped_prompt.endswith(stripped_style_text): prompt = stripped_prompt[: len(stripped_prompt) - len(stripped_style_text)] if prompt.endswith(", "): prompt = prompt[:-2] return True, prompt, prompt return False, prompt, '' def extract_original_prompts(style, prompt, negative_prompt): """ Takes a style and compares it to the prompt and negative prompt. If the style matches, returns True plus the prompt and negative prompt with the style text removed. Otherwise, returns False with the original prompt and negative prompt. """ if not style.prompt and not style.negative_prompt: return False, prompt, negative_prompt match_positive, extracted_positive, real_prompt = unwrap_style_text_from_prompt( style.prompt, prompt ) if not match_positive: return False, prompt, negative_prompt, '' match_negative, extracted_negative, _ = unwrap_style_text_from_prompt( style.negative_prompt, negative_prompt ) if not match_negative: return False, prompt, negative_prompt, '' return True, extracted_positive, extracted_negative, real_prompt def extract_styles_from_prompt(prompt, negative_prompt): extracted = [] applicable_styles = [] for style_name, (style_prompt, style_negative_prompt) in modules.sdxl_styles.styles.items(): applicable_styles.append(PromptStyle(name=style_name, prompt=style_prompt, negative_prompt=style_negative_prompt)) real_prompt = '' while True: found_style = None for style in applicable_styles: is_match, new_prompt, new_neg_prompt, new_real_prompt = extract_original_prompts( style, prompt, negative_prompt ) if is_match: found_style = style prompt = new_prompt negative_prompt = new_neg_prompt if real_prompt == '' and new_real_prompt != '' and new_real_prompt != prompt: real_prompt = new_real_prompt break if not found_style: break applicable_styles.remove(found_style) extracted.append(found_style.name) # add prompt expansion if not all styles could be resolved if prompt != '': if real_prompt != '': extracted.append(modules.sdxl_styles.fooocus_expansion) else: # find real_prompt when only prompt expansion is selected first_word = prompt.split(', ')[0] first_word_positions = [i for i in range(len(prompt)) if prompt.startswith(first_word, i)] if len(first_word_positions) > 1: real_prompt = prompt[:first_word_positions[-1]] extracted.append(modules.sdxl_styles.fooocus_expansion) if real_prompt.endswith(', '): real_prompt = real_prompt[:-2] return list(reversed(extracted)), real_prompt, negative_prompt class PromptStyle(typing.NamedTuple): name: str prompt: str negative_prompt: str def is_json(data: str) -> bool: try: loaded_json = json.loads(data) assert isinstance(loaded_json, dict) except (ValueError, AssertionError): return False return True def get_file_from_folder_list(name, folders): for folder in folders: filename = os.path.abspath(os.path.realpath(os.path.join(folder, name))) if os.path.isfile(filename): return filename return os.path.abspath(os.path.realpath(os.path.join(folders[0], name))) def ordinal_suffix(number: int) -> str: return 'th' if 10 <= number % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(number % 10, 'th') def makedirs_with_log(path): try: os.makedirs(path, exist_ok=True) except OSError as error: print(f'Directory {path} could not be created, reason: {error}') def get_enabled_loras(loras: list) -> list: return [[lora[1], lora[2]] for lora in loras if lora[0]]