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
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from typing import List
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class inputAudios:
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"""Input Audios node for configuring multiple audio inputs"""
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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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"Audio1": ("STRING", {
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"tooltip": "MediaUUID for the first audio file from Runware Media Upload node.",
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}),
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"Audio2": ("STRING", {
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"tooltip": "MediaUUID for the second audio file from Runware Media Upload node.",
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}),
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"Audio3": ("STRING", {
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"tooltip": "MediaUUID for the third audio file from Runware Media Upload node.",
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}),
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"Audio4": ("STRING", {
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"tooltip": "MediaUUID for the fourth audio file from Runware Media Upload node.",
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}),
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}
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}
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DESCRIPTION = "Configure multiple audio inputs (mediaUUIDs) for video generation with audio synchronization."
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FUNCTION = "createInputAudios"
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RETURN_TYPES = ("RUNWAREINPUTAUDIOS",)
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RETURN_NAMES = ("Input Audios",)
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CATEGORY = "Runware"
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def createInputAudios(self, **kwargs) -> tuple[List[str]]:
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"""Create list of audio UUIDs from provided parameters"""
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audioList = []
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for i in range(1, 5):
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audioKey = f"Audio{i}"
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audioUuid = kwargs.get(audioKey)
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if audioUuid and audioUuid.strip() != "":
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audioList.append(audioUuid.strip())
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return (audioList,)
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