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Includes 30 custom nodes committed directly, 7 Civitai-exclusive loras stored via Git LFS, and a setup script that installs all dependencies and downloads HuggingFace-hosted models on vast.ai. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
class ShowText:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"text": ("STRING", {"forceInput": True}),
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},
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"hidden": {
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"unique_id": "UNIQUE_ID",
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"extra_pnginfo": "EXTRA_PNGINFO",
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},
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}
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INPUT_IS_LIST = True
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RETURN_TYPES = ("STRING",)
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FUNCTION = "notify"
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OUTPUT_NODE = True
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OUTPUT_IS_LIST = (True,)
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CATEGORY = "utils"
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def notify(self, text, unique_id=None, extra_pnginfo=None):
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if unique_id is not None and extra_pnginfo is not None:
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if not isinstance(extra_pnginfo, list):
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print("Error: extra_pnginfo is not a list")
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elif (
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not isinstance(extra_pnginfo[0], dict)
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or "workflow" not in extra_pnginfo[0]
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):
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print("Error: extra_pnginfo[0] is not a dict or missing 'workflow' key")
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else:
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workflow = extra_pnginfo[0]["workflow"]
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node = next(
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(x for x in workflow["nodes"] if str(x["id"]) == str(unique_id[0])),
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None,
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)
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if node:
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node["widgets_values"] = [text]
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return {"ui": {"text": text}, "result": (text,)}
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NODE_CLASS_MAPPINGS = {
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"ShowText|pysssss": ShowText,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ShowText|pysssss": "Show Text 🐍",
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}
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