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https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-08-31 08:10:04 +08:00
add some more string nodes
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parent
7e9267fa77
commit
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@ -1,5 +1,7 @@
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import re
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import re
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import os
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import torch
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import folder_paths
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from comfy.comfy_types.node_typing import IO
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from comfy.comfy_types.node_typing import IO
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class StringConcatenate():
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class StringConcatenate():
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@ -331,6 +333,69 @@ class RegexReplace():
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result = re.sub(regex_pattern, replace, string, count=count, flags=flags)
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result = re.sub(regex_pattern, replace, string, count=count, flags=flags)
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return result,
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return result,
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class LoadText():
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DESCRIPTION = "Load a string from a file."
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@classmethod
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def INPUT_TYPES(s):
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input_dir = folder_paths.get_input_directory()
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files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
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files = folder_paths.filter_files_content_types(files, ["text"])
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return {
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"required": {"file": (sorted(files), {"text_upload": True})},
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}
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RETURN_TYPES = (IO.STRING,)
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FUNCTION = "execute"
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CATEGORY = "utils/string"
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def execute(self, file):
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text_path = folder_paths.get_annotated_filepath(file)
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string = open(text_path, 'r', encoding='utf-8').read() #enforcing utf-8 is odd, good enough
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return (string,)
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@classmethod
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def IS_CHANGED(cls, file):
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text_path = folder_paths.get_annotated_filepath(file)
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mod_time = os.path.getmtime(text_path)
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# use mod time (inspired by video nodes)
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return mod_time
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@classmethod
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def VALIDATE_INPUTS(cls, file):
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if not folder_paths.exists_annotated_filepath(file):
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return "Invalid text file: {}".format(file)
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return True
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class GetRandomLine():
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DESCRIPTION = "Obtain a random line from a multiline string."
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"text": (IO.STRING, {"multiline": True, "default": ""}),
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"seed": (IO.INT, {"default": 0,
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"min": 0,
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"max": 2147483647,
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"step": 1,
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"control_after_generate": True,
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"display": "number"},)
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}
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}
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RETURN_TYPES = (IO.STRING,)
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FUNCTION = "execute"
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CATEGORY = "utils/string"
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def execute(self, text, seed=0):
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generator = torch.Generator()
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generator.manual_seed(seed)
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lines = text.splitlines()
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max_lines = len(lines)
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idx = torch.randint(0, max_lines, (1,), generator=generator).item()
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return (lines[idx],)
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NODE_CLASS_MAPPINGS = {
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NODE_CLASS_MAPPINGS = {
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"StringConcatenate": StringConcatenate,
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"StringConcatenate": StringConcatenate,
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"StringSubstring": StringSubstring,
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"StringSubstring": StringSubstring,
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@ -343,6 +408,8 @@ NODE_CLASS_MAPPINGS = {
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"RegexMatch": RegexMatch,
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"RegexMatch": RegexMatch,
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"RegexExtract": RegexExtract,
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"RegexExtract": RegexExtract,
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"RegexReplace": RegexReplace,
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"RegexReplace": RegexReplace,
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"LoadText": LoadText,
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"GetRandomLine": GetRandomLine
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}
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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NODE_DISPLAY_NAME_MAPPINGS = {
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@ -357,4 +424,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
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"RegexMatch": "Regex Match",
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"RegexMatch": "Regex Match",
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"RegexExtract": "Regex Extract",
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"RegexExtract": "Regex Extract",
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"RegexReplace": "Regex Replace",
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"RegexReplace": "Regex Replace",
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"LoadText": "Load Text",
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"GetRandomLine": "Get Random Line"
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}
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}
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@ -141,7 +141,7 @@ def get_directory_by_type(type_name: str) -> str | None:
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return get_input_directory()
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return get_input_directory()
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return None
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return None
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def filter_files_content_types(files: list[str], content_types: List[Literal["image", "video", "audio", "model"]]) -> list[str]:
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def filter_files_content_types(files: list[str], content_types: List[Literal["image", "video", "audio", "model", "text"]]) -> list[str]:
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"""
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"""
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Example:
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Example:
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files = os.listdir(folder_paths.get_input_directory())
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files = os.listdir(folder_paths.get_input_directory())
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