Add custom nodes, Civitai loras (LFS), and vast.ai setup script
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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>
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77
custom_nodes/rgthree-comfy/py/display_any.py
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77
custom_nodes/rgthree-comfy/py/display_any.py
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import json
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from .constants import get_category, get_name
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from .utils import any_type, get_dict_value
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class RgthreeDisplayAny:
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"""Display any data node."""
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NAME = get_name('Display Any')
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CATEGORY = get_category()
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@classmethod
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def INPUT_TYPES(cls): # pylint: disable = invalid-name, missing-function-docstring
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return {
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"required": {
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"source": (any_type, {}),
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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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RETURN_TYPES = ()
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FUNCTION = "main"
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OUTPUT_NODE = True
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def main(self, source=None, unique_id=None, extra_pnginfo=None):
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value = 'None'
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if isinstance(source, str):
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value = source
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elif isinstance(source, (int, float, bool)):
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value = str(source)
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elif source is not None:
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try:
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value = json.dumps(source)
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except Exception:
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try:
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value = str(source)
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except Exception:
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value = 'source exists, but could not be serialized.'
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# Save the output to the pnginfo so it's pre-filled when loading the data.
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if extra_pnginfo and unique_id:
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for node in get_dict_value(extra_pnginfo, 'workflow.nodes', []):
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if str(node['id']) == str(unique_id):
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node['widgets_values'] = [value]
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break
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return {"ui": {"text": (value,)}}
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class RgthreeDisplayInt:
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"""Old DisplayInt node.
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Can be ported over to DisplayAny if https://github.com/comfyanonymous/ComfyUI/issues/1527 fixed.
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"""
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NAME = get_name('Display Int')
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CATEGORY = get_category()
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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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"input": ("INT", {
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"forceInput": True
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}),
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},
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}
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RETURN_TYPES = ()
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FUNCTION = "main"
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OUTPUT_NODE = True
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def main(self, input=None):
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return {"ui": {"text": (input,)}}
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