commit 8aaf80fbe15d36d68c51557125c239e1bfa06a6a Author: toxicwind Date: Thu Jun 13 14:42:04 2024 -0600 first commit diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..2446ba3 --- /dev/null +++ b/.gitignore @@ -0,0 +1,37 @@ +!/input/example.png +!/web/extensions/core/ +!/web/extensions/logging.js.example +**/*.py[cod] +**/__pycache__/ +*.ckpt +*.h5 +*.joblib +*.mlmodel +*.onnx +*.pb +*.pbtxt +*.pkl +*.png +*.pt +*.pth +*.py[cod] +*.safetensors +*.tflite +*.webp +.idea/ +.vs +/.vs +/input/ +/models/ +/output/ +/temp/ +/tests-ui/data/object_info.json +/user/ +/web/extensions/* +/workflows*/*.json +__pycache__ +__pycache__/ +custom_nodes/ +extra_model_paths.yaml +venv/ +workspace*/ diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..457f44d --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,3 @@ +{ + "python.analysis.typeCheckingMode": "basic" +} \ No newline at end of file diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..be3f7b2 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,661 @@ + GNU AFFERO GENERAL PUBLIC LICENSE + Version 3, 19 November 2007 + + Copyright (C) 2007 Free Software Foundation, Inc. + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The GNU Affero General Public License is a free, copyleft license for +software and other kinds of works, specifically designed to ensure +cooperation with the community in the case of network server software. + + The licenses for most software and other practical works are designed +to take away your freedom to share and change the works. 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If not, see . + +Also add information on how to contact you by electronic and paper mail. + + If your software can interact with users remotely through a computer +network, you should also make sure that it provides a way for users to +get its source. For example, if your program is a web application, its +interface could display a "Source" link that leads users to an archive +of the code. There are many ways you could offer source, and different +solutions will be better for different programs; see section 13 for the +specific requirements. + + You should also get your employer (if you work as a programmer) or school, +if any, to sign a "copyright disclaimer" for the program, if necessary. +For more information on this, and how to apply and follow the GNU AGPL, see +. diff --git a/README.md b/README.md new file mode 100644 index 0000000..7bb94c4 --- /dev/null +++ b/README.md @@ -0,0 +1,40 @@ +# TTools for ComfyUI + +Enhance your ComfyUI environment with TTools, a powerful suite designed for effective manipulation of text and JSON data, alongside optimization of resolution calculations. + +## Features +- **Text Randomization and Formatting**: Simplifies string manipulation by altering and randomizing the sequence. +- **JSON Extraction and Processing**: Allows for robust extraction and manipulation of JSON embedded within strings. +- **SD3 Resolution Solver**: Computes optimal image resolutions to achieve near 1 megapixel clarity under set constraints. + +### Installation Steps + +1. Navigate to your `/ComfyUI/custom_nodes/` directory. +2. Clone the repository: + ```bash + git clone https://github.com/toxicwind/TTools.git + ``` +3. Change to the cloned directory: + ```bash + cd TTools + ``` +4. Depending on your setup, install dependencies: + - **Portable/Venv**: + ```bash + path/to/ComfyUI/python_embedded/python.exe -s -m pip install -r requirements.txt + ``` + - **System Python**: + ```bash + pip install -r requirements.txt + ``` + +## Contributing + +Contributions are welcome! Please fork the repository, make your changes, and submit a pull request. + +## License + +This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details. +``` + +This README template now includes specific installation steps tailored to different setups and clarifies how to set up and use `TTools` quickly and efficiently. \ No newline at end of file diff --git a/__init__.py b/__init__.py new file mode 100644 index 0000000..11171c2 --- /dev/null +++ b/__init__.py @@ -0,0 +1,478 @@ +import os +import spacy +import spacy.lang.en +import inspect +import textwrap +import nodes +import re +import random +import itertools +from functools import reduce +import unicodedata +import emoji +import logging +import json + + +class AnyType(str): + + def __ne__(self, __value: object) -> bool: + return False + + +any_typ = AnyType("*") + +nlp = spacy.load("en_core_web_sm") + +# List of words to remove from stop words list +remove_stop_word_tokens = [ + 'and', 'he', 'she', 'it', 'his', + 'its', 'with', 'without', 'before', 'after', 'during', 'around', 'among', + 'between', 'through', 'across', 'behind', 'below', 'beside', 'by', 'over', + 'under', 'into', 'onto', 'upon', 'along', 'above', 'near', 'from', + 'towards', 'to', 'up', 'down', 'in', 'on', 'off', 'out', 'at', 'of', 'not', + 'no', 'none', 'never', 'neither', 'nor', 'only', 'just', 'who', 'whose', + 'whom', 'what', 'where', 'any', 'all', 'each', 'every', 'either', 'both', + 'all', 'both', 'another', 'such', 'some', 'few', 'several', 'many', 'much', + 'most', 'more', 'less', 'eight', 'eleven', 'fifteen', 'fifty', 'five', + 'forty', 'four', 'hundred', 'nine', 'one', 'six', 'sixty', 'ten', 'third', + 'three', 'twelve', 'twenty', 'two', 'alone', 'against', 'down', "again", + "almost", "already", "always", "anyone", "anything", "anywhere", "around", + "back", "become", "becomes", "becoming", "beyond", "full", "further", + "get", "give", "go", "here", "hereafter", "hereby", "herein", "hereupon", + "mostly", "often", "once", "part", "put", "seem", "seemed", "seeming", + "seems", "take", "together", "top", "toward", "until", "used", "using", + "various", "via", "within", "about", "because", "but", "can", + "cannot", "could", "do", "does", "doing", "done", "even", "for", "if", + "is", "was", "were", "may", "might", "must", "or", "please", "really", + "should", "since", "so", "that", "these", "this", "those", "though", + "thus", "unless", "until", "while", "will", "would", "yet" +] + +# Remove the words from the stop words list +for word in remove_stop_word_tokens: + if word in nlp.Defaults.stop_words: + nlp.Defaults.stop_words.remove(word) + if nlp.vocab[word].is_stop: + nlp.vocab[word].is_stop = False + +# Print the remaining stop words +remaining_stop_words = list(nlp.Defaults.stop_words) +remaining_stop_words.sort() +print(", ".join(remaining_stop_words)) + +class TToolsRandomizeAndFormatString: + """ + This class replaces specified characters and patterns in a string with commas, + then randomizes the order of the resulting tokens, converts them to lowercase, + and finally joins them back into a comma-separated string without extra spaces. + """ + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input_string": ("STRING", { + "multiline": True + }), + "and_string": ("STRING", { + "default": ",", + "multiline": False + }), + "seed": ("INT", { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF + }), + "max_length": ("INT", { + "default": 1024, + "min": 0, + "max": 999999999 + }), + }, + } + + RETURN_TYPES = ("STRING", ) + FUNCTION = "doit" + CATEGORY = "utils" + + def __init__(self): + self.logger = logging.getLogger(__name__) + self.logger.setLevel(logging.DEBUG) + formatter = logging.Formatter( + '%(asctime)s - %(levelname)s - %(message)s') + stream_handler = logging.StreamHandler() + stream_handler.setFormatter(formatter) + self.logger.addHandler(stream_handler) + + def recursive_replace(self, processed_string, words_to_replace): + while True: + old_processed_string = processed_string + for word in words_to_replace: + processed_string = re.sub(re.escape(word), ",", + processed_string) + if old_processed_string == processed_string: + break + processed_string = re.sub(",{2,}", ",", processed_string) + words = processed_string.split(',') + random.shuffle(words) + processed_string = ','.join(words) + return processed_string + + def remove_stop_words(self, text, and_string=","): + AND_STRING = and_string + text = text.replace(" - ", AND_STRING) + text = text.replace(" -", AND_STRING) + text = text.replace("- ", AND_STRING) + text = text.replace(" -", AND_STRING) + return text + + def remove_emoji(self, text: str) -> str: + """ + Removes emoji characters from the input text. + + Args: + text (str): The input text containing emoji characters. + + Returns: + str: The input text with emoji characters removed. + """ + return ''.join(char for char in text if not emoji.is_emoji(char)) + + def doit(self, input_string, and_string, max_length=1024, seed=0): + self.logger.debug("Initial input string: %s", input_string) + random.seed(seed) + input_string = input_string.lower() + with open('words_to_replace.txt', 'r') as file: + words_to_replace = file.read().splitlines() + + words_to_replace = [word.lower() for word in words_to_replace] + words_to_replace.sort(key=len, reverse=True) + self.logger.debug("Words to replace: %s", words_to_replace) + input_string = self.recursive_replace(input_string, words_to_replace) + self.logger.debug("After recursive_replace: %s", input_string) + input_string = input_string.replace(",", "") + self.logger.debug("After lowercase and comma replacement: %s", + input_string) + preserved_periods = re.sub(r"\d+\.(?!\d)", ",", input_string) + preserved_periods = re.sub(r"(?", ",") + processed_string = processed_string.replace("->", ",") + processed_string = processed_string.replace('\\n', ",") + processed_string = processed_string.replace("' ", ",") + processed_string = processed_string.replace(" '", ",") + processed_string = processed_string.replace("/", "") + processed_string = processed_string.replace('\\\\', "") + processed_string = processed_string.replace("<", "") + processed_string = processed_string.replace(">", "") + processed_string = processed_string.replace("=", "") + processed_string = processed_string.replace("+", "") + processed_string = processed_string.replace("_", " ") + processed_string = processed_string.replace("^", "") + processed_string = re.sub(r" {2,}", " ", processed_string) + processed_string = re.sub(r"\s+", " ", processed_string) + self.logger.debug("After processed_string: %s", processed_string) + initial_tokens = [ + token.strip().lower() for token in processed_string.split(",") + if token.strip() + ] + self.logger.debug("Initial number of tokens: %s", len(initial_tokens)) + + tokens = [ + self.remove_stop_words(token).strip() for token in initial_tokens + ] + self.logger.debug("Number of tokens after removing stop words: %s", + len(tokens)) + + tokens = [token for token in tokens if 3 <= len(token) <= 75] + self.logger.debug("Number of tokens after length filtering: %s", + len(tokens)) + + total_tokens = len(tokens) + selected_tokens = [] + for token in tokens: + if total_tokens >= max_length: + break + selected_tokens.append(token) + total_tokens += 1 + + self.logger.debug("Number of selected tokens: %s", + len(selected_tokens)) + + final_tokens = tokens + selected_tokens + random.shuffle(final_tokens) + + output_string = ", ".join(token for token in final_tokens if token) + output_string = output_string.strip(", ") + + self.logger.debug("Final output string: %s", output_string) + + return (output_string, ) + + +class TToolsExtractJson: + """ + This class extracts and processes JSON objects from a given string, + randomizes the extracted values, and outputs them as a comma-separated string. + """ + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "input_string": ("STRING", { + "multiline": True + }), + "seed": ("INT", { + "default": 0, + "min": 0, + "max": 0xFFFFFFFFFFFFFFFF + }), + "max_length": ("INT", { + "default": 10, + "min": 0, + "max": 999999999 + }), + "min_part_length": ("INT", { + "default": 10, + "min": 0, + "max": 999999999 + }), + "max_part_length": ("INT", { + "default": 10, + "min": 0, + "max": 999999999 + }), + "remove_stop_words": ("BOOLEAN", { + "forceInput": False + }) + }, + } + + RETURN_TYPES = ("STRING", ) + FUNCTION = "doit" + CATEGORY = "utils" + + def remove_stop_words(self, text): + return ' '.join(token.text for token in nlp(text) if not token.is_stop) + + def remove_emoji(self, text): + return ''.join(char for char in text if not emoji.is_emoji(char)) + + def extract_json_objects(self, text): + json_pattern = re.compile(r'\{[^\}]*\}', re.DOTALL) + json_objects = [] + for json_str in json_pattern.findall(text): + if re.fullmatch(r'\{[^\}]*\}', json_str): + try: + json_objects.append( + json.loads(re.sub(r'\\[n"\\]', '', json_str))) + except json.JSONDecodeError: + print("Invalid JSON format, discarding entry: ", json_str) + return json_objects + + def extract_values(self, json_objects): + return [ + str(item) for obj in json_objects for k, v in obj.items() + for item in (v if isinstance(v, list) else [v]) + ] + + def extract_and_process_json_from_string(self, text_content): + json_objects = self.extract_json_objects(text_content) + return self.extract_values(json_objects) + + def doit(self, + input_string, + max_length=10, + min_part_length=14, + max_part_length=100, + seed=0, + remove_stop_words=False): + random.seed(seed) + input_string = input_string.lower() + print("Initial input string: ", input_string) + values = self.extract_and_process_json_from_string(input_string) + replacements = [ + ('_', ' '), + ('/', ' and '), + ('\\', ' and '), + (':', ','), + ('"', ','), + ('.', ','), + ('[', ','), + (']', ','), + ('{', ','), + ('}', ','), + ('&', ' and '), + ('+', ' and '), + ('$', 'currency value of '), + ('%', ' percent'), + ('@', ' at '), + ('#', ' number '), + ('<', ' less than '), + ('>', ' greater than '), + ('=', ' equals '), + ('*', ' '), + ('\n', ','), + ] + + def apply_replacements(value): + for old, new in replacements: + value = value.replace(old, new) + return value + + #Remove whitespace before after or multiple spaces within + values = [re.sub(r" {2,}", " ", value.strip()) for value in values] + values = sorted(set(values), key=len, reverse=True) + values = [apply_replacements(v) for v in values] + values = [re.sub(r" {2,}", " ", value.strip()) for value in values] + values = sorted(set(values), key=len, reverse=True) + values = sorted(set( + itertools.chain.from_iterable(v.split(',') for v in values)), + key=len, + reverse=True) + values = [re.sub(r" {2,}", " ", value.strip()) for value in values] + print("Initial value count: ", len(values)) + print("Extracted values: ") + for i, v in enumerate(values, start=1): + print(f"{i}: {v}") + if remove_stop_words: + print("Values before removing stop words: ") + for i, v in enumerate(values, start=1): + print(f"{i}: {v}") + values = [self.remove_stop_words(v) for v in values] + print("Values after removing stop words: ") + for i, v in enumerate(values, start=1): + print(f"{i}: {v}") + + print("Value count after processing: ", len(values)) + + print("Extracted values: ") + for i, v in enumerate(values, start=1): + print(f"{i}: {v}") + #sort values + values.sort(key=len, reverse=True) + # remove duplicate values + values = list(dict.fromkeys(values)) + + print("Value count after removing duplicates: ", len(values)) + # Sort the values by length + values.sort(key=len, reverse=False) + # filter values based on length and remove "and " from the beginning + values = [ + value[4:] if value.startswith("and ") else value + for value in values + if min_part_length <= len(value) <= max_part_length + ] + print("Value count after filtering by length: ", len(values)) + # Find the midpoint + midpoint = len(values) // 2 + + # Split the values into short and long + short_values = values[:midpoint] + long_values = values[midpoint:] + + # Determine the number of values to select from each list + num_short = min(len(short_values), int(max_length * 0.8)) + num_long = min(len(long_values), max_length - num_short) + + # Randomly select values from each list + selected_short_values = random.sample(short_values, num_short) + selected_long_values = random.sample(long_values, num_long) + + # Combine the selected values + selected_values = selected_short_values + selected_long_values + #sort values + values.sort(key=len, reverse=True) + # remove duplicate values + values = list(dict.fromkeys(values)) + + print( + "Value count after removing duplicates and filtering by length: ", + len(values)) + print("Selected values: ") + for i, v in enumerate(selected_values, start=1): + print(f"{i}: {v}") + output_string = ", ".join(str(v) for v in selected_values) + print("Final output string: ", output_string) + return (output_string, ) + + +class TToolsSD3ResolutionSolver: + """ + Provides a resolution close to 1 megapixel with dimensions as multiples of 64. + """ + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "x": ("INT", {"display": "number"}), + "y": ("INT", {"display": "number"}), + "format": (["Portrait", "Landscape"], {"default": "Portrait"}), + }, + } + + RETURN_TYPES = ("INT","INT",) + RETURN_NAMES = ("Width","Height",) + FUNCTION = "solve" + CATEGORY = "utils" + + def solve(self, x, y, format): + scale = (1000000 / (x * y)) ** 0.5 + x_adjusted, y_adjusted = (int(x * scale) // 64) * 64, (int(y * scale) // 64) * 64 + return (max(x_adjusted, y_adjusted), min(x_adjusted, y_adjusted)) if format == 'Landscape' else (min(x_adjusted, y_adjusted), max(x_adjusted, y_adjusted)) + + +NODE_CLASS_MAPPINGS = { + "TTools SD3 Resolution Solver": TToolsSD3ResolutionSolver, + "TTools Randomize And Format String": TToolsRandomizeAndFormatString, + "TTools Extract JSON": TToolsExtractJson +} + +NODE_DISPLAY_NAME_MAPPINGS = { + "TToolsSD3ResolutionSolver": "TTools SD3 Resolution Solver", + "TToolsRandomizeAndFormatString": "TTools Randomize And Format String", + "TToolsExtractJson": "TTools Extract JSON", +} diff --git a/words_to_replace.txt b/words_to_replace.txt new file mode 100644 index 0000000..fadc904 --- /dev/null +++ b/words_to_replace.txt @@ -0,0 +1,53 @@ +Here is the +Here is the output +Here is the output of +Here are the +Here are +JSONL entries +that merge +join the +provided keywords +unique visual description +,ed +, ed + ed, +here is the output +output +micro level expanded visual representation +micro level expanded visual +expanded visual +expanded +visual +expanded visual representation +representation +micro level representation +micro level visual +micro level +micro +level +expanded representation +keyword +keywords +main keyword +main keywords +tags +tag +interesting tag +interesting tags +sentence +sentence fragment +detail +details +micro level details +micro details +components +prompt +input +dall-e prompt +dall-e +\\ +dall-e input +comma +comma separated +comma separated list +comma separated list of \ No newline at end of file