56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
import os
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# Define the local assets path matching our self-contained structure
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NODE_DIR = os.path.dirname(os.path.abspath(__file__))
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LISTS_DIR = os.path.join(NODE_DIR, "lists")
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class ComfyUIDynamicDropdownsPlaceholder:
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@classmethod
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def INPUT_TYPES(cls):
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# Fallback values if the user hasn't populated their text files yet
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styles = ["Amateur Candid", "Studio Cinematic", "Vintage Film"]
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lighting = ["Soft Natural", "Harsh Neon", "Golden Hour"]
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# Dynamically load from files if they exist
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style_path = os.path.join(LISTS_DIR, "demo_style.txt")
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if os.path.exists(style_path):
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with open(style_path, "r", encoding="utf-8") as f:
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styles = [line.strip() for line in f if line.strip()]
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lighting_path = os.path.join(LISTS_DIR, "demo_lighting.txt")
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if os.path.exists(lighting_path):
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with open(lighting_path, "r", encoding="utf-8") as f:
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lighting = [line.strip() for line in f if line.strip()]
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return {
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"required": {
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"clip": ("CLIP",),
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"demo_style": (styles,),
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"demo_lighting": (lighting,),
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}
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}
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RETURN_TYPES = ("STRING", "CONDITIONING")
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RETURN_NAMES = ("PROMPT_STRING", "CONDITIONING")
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FUNCTION = "process_prompt"
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CATEGORY = "Custom Selection"
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def process_prompt(self, clip, demo_style, demo_lighting):
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# Concatenate the dropdown choices into a raw comma-separated string
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clean_choices = [str(demo_style).strip(), str(demo_lighting).strip()]
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final_prompt = ", ".join([c for c in clean_choices if c])
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# Core execution logic tokenizing the text directly into CLIP conditioning data
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tokens = clip.tokenize(final_prompt)
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cond, pooled = clip.encode_from_tokens(tokens, return_pooled=True)
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conditioning_output = [[cond, {"pooled_output": pooled}]]
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return (final_prompt, conditioning_output)
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NODE_CLASS_MAPPINGS = {
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"ComfyUI_Dynamic_Dropdowns_Demo": ComfyUIDynamicDropdownsPlaceholder
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ComfyUI_Dynamic_Dropdowns_Demo": "🎭 Dynamic Dropdowns (Demo Mode)"
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} |