Vito Sansevero
5485aa8c19
BREAKING CHANGE: Node categories now use emoji-based organization Add 6 new xyz-helper nodes adapted from comfyui-essentials-nodes: - FluxSamplerParams: FLUX-optimized parameter generator with batch support - LoRAFolderBatch: Batch process multiple LoRAs from folders - PlotParameters: Visualize parameter effects with graphs - SamplerSelectHelper: Intelligent sampler selection with recommendations - SchedulerSelectHelper: Optimal scheduler selection for samplers - TextEncodeSamplerParams: Combined text encoding and parameter management Changes: - Port and enhance nodes from comfyui-essentials (now in maintenance mode) - Add comprehensive documentation with attribution to original author (cubiq) - Create example workflows for xyz-helpers tools - Update all node categories to use emoji-based organization - Fix all unit tests to pass with new category system - Update README with xyz-helpers section and attribution Attribution: xyz-helpers adapted from github.com/cubiq/ComfyUI_essentials All tests passing (318 pass, 2 skip)
68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
"""DisplayAny node for ComfyUI - displays any input value or tensor information."""
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from typing import Any, Dict, Tuple
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from ...base import ComfyAssetsBaseNode
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from .logic import format_display_value, validate_display_mode
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# Define AnyType for wildcard input matching
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class AnyType(str):
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"""A special type that matches any input type in ComfyUI."""
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def __ne__(self, other):
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return False
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class DisplayAnyNode(ComfyAssetsBaseNode):
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"""Display any input value or tensor shape information.
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This node can display any type of input in two modes:
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- Raw value: Shows the string representation of the input
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- Tensor shape: Extracts and displays shapes of any tensors in the input
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"""
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@classmethod
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def INPUT_TYPES(cls) -> Dict[str, Any]:
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"""Define input types for the node."""
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return {
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"required": {
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"input": (AnyType("*"), {}), # Accept any type of input
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"mode": (["raw value", "tensor shape"],),
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},
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}
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@classmethod
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def VALIDATE_INPUTS(cls, **kwargs) -> bool:
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"""Validate inputs - always returns True as we accept any input."""
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return True
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RETURN_TYPES = ("STRING",)
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CATEGORY = "ComfyAssets/👁️ Display"
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RETURN_NAMES = ("display_text",)
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FUNCTION = "display"
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OUTPUT_NODE = True # This node displays output in the UI
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def display(self, input: Any, mode: str = "raw value") -> Dict[str, Any]:
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"""Display the input value according to the selected mode.
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Args:
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input: Any input value to display
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mode: Display mode - "raw value" or "tensor shape"
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Returns:
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Dictionary with UI display and result
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"""
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# Validate mode
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if not validate_display_mode(mode):
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mode = "raw value" # Default to raw value if invalid
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# Format the display text
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display_text = format_display_value(input, mode)
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# Return both UI display and result
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return {
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"ui": {"text": [display_text]}, # UI expects array
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"result": (display_text,),
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}
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