63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
import os
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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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styles = ["Amateur Candid", "Studio Cinematic", "Vintage Film"]
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lighting = ["Soft Natural", "Harsh Neon", "Golden Hour"]
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return {
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"required": {
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"demo_style": (styles,),
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"demo_lighting": (lighting,),
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},
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# Moving both CLIP and the daisy-chain string input to the optional block
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"optional": {
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"input_string": ("STRING", {"forceInput": True}),
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"clip": ("CLIP",),
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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, demo_style, demo_lighting, input_string="", clip=None):
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# 1. Initialize our array of prompt segments
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clean_choices = []
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# 2. If a previous node is connected, inject its text first
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if input_string and str(input_string).strip():
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clean_choices.append(str(input_string).strip())
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# 3. Append the current dropdown choices
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if demo_style:
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clean_choices.append(str(demo_style).strip())
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if demo_lighting:
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clean_choices.append(str(demo_lighting).strip())
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# 4. Join everything with a clean single comma, filtering out empty entries
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final_prompt = ", ".join([c for c in clean_choices if c])
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# 5. Handle the optional CLIP conditioning encoding
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if clip is not None:
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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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else:
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conditioning_output = None
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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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}
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