51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
import re
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class StylesCSVLoader:
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"""
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Loads csv file with styles. For migration purposes from automatic11111 webui.
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"""
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def __init__(self):
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if not hasattr(self, "styles_csv"):
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self.styles_csv = self.load_styles_csv("styles.csv")
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def load_styles_csv(styles_path):
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"""Loads csv file with styles. It has only one column.
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Ignore the first row (header).
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positive_prompt are strings separated by comma. Each string is a prompt.
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negative_prompt are strings separated by comma. Each string is a prompt.
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Returns:
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list: List of styles. Each style is a dict with keys: style_name and value: [positive_prompt, negative_prompt]
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"""
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with open(styles_path, "r", encoding="utf-8") as f:
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styles = [[x.replace('"', '').replace('\n','') for x in re.split(',(?=(?:[^"]*"[^"]*")*[^"]*$)', line)] for line in f.readlines()[1:]]
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styles = {x[0]: [x[1],x[2]] for x in styles}
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return styles
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@classmethod
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def INPUT_TYPES(s):
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if not hasattr(s, "styles_csv"):
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s.styles_csv = s.load_styles_csv("styles.csv")
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return {
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"required": {
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"styles": (list(s.styles_csv.keys()),),
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},
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}
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RETURN_TYPES = ("STRING","STRING")
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RETURN_NAMES = ("positive prompt", "negative prompt")
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FUNCTION = "execute"
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CATEGORY = "loaders"
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def execute(self, styles):
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return (self.styles_csv[styles][0], self.styles_csv[styles][1])
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NODE_CLASS_MAPPINGS = {
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"Load Styles CSV": StylesCSVLoader
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"StylesCSVLoader": "Load Styles CSV Node"
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}
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