Sirshendu Ganguly
056ade0661
- Use librosa instead of torchaudio for mediaStorage - Created dedicated toggle handlers for Image Inference, Video Inference, Upscaler, Audio Inference, Accelerator Options, Bytedance Provider Settings, and OpenAI Provider Settings - Fixed Audio Inference widget ordering (use parameters now appear before their corresponding parameters) - All handlers use the same proven pattern from videoInferenceDimensionsHandler - Improved widget disabling/enabling functionality across all nodes
51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
"""
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Runware Lightricks Provider Settings Node
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Provides Lightricks-specific settings for video generation
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"""
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from typing import Optional, Dict, Any
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class RunwareLightricksProviderSettings:
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"""Runware Lightricks Provider Settings Node"""
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {},
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"optional": {
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"generateAudio": ("BOOLEAN", {
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"tooltip": "Enable to generate audio for the video. Disable to generate video without audio. Default: false.",
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"default": False,
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}),
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}
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}
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RETURN_TYPES = ("RUNWAREPROVIDERSETTINGS",)
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RETURN_NAMES = ("providerSettings",)
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FUNCTION = "create_provider_settings"
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CATEGORY = "Runware/Provider Settings"
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def create_provider_settings(self, **kwargs) -> tuple[Dict[str, Any]]:
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"""Create Lightricks provider settings"""
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# Get value parameters
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generateAudio = kwargs.get("generateAudio", False)
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# Build settings dictionary
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# Always include generateAudio to ensure it's explicitly set
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settings = {
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"generateAudio": generateAudio
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}
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return (settings,)
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# Node class mappings
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NODE_CLASS_MAPPINGS = {
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"RunwareLightricksProviderSettings": RunwareLightricksProviderSettings,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareLightricksProviderSettings": "Runware Lightricks Provider Settings",
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}
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