116 lines
4.7 KiB
Python
116 lines
4.7 KiB
Python
"""
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Runware Audio Inference Speech node: builds the speech payload for Runware Audio Inference.
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Connect its output to the "speech" input of Runware Audio Inference for speech synthesis (e.g. Minimax).
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"""
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from typing import Dict, Any
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class RunwareAudioInferenceSpeech:
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"""Builds speech payload (text, voice, speed, volume, pitch?, emotion?, tone?) for Runware Audio Inference."""
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EMOTIONS = [
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"happy", "sad", "angry", "fearful", "disgusted", "surprised",
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"calm", "fluent", "whisper",
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]
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def __init__(self):
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pass
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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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"text": ("STRING", {
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"multiline": True,
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"default": "Hello, this is a test of the speech synthesis model.",
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"tooltip": "Text to synthesize as speech (speech.text)",
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}),
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"voice": ("STRING", {
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"default": "English_Whispering_girl",
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"tooltip": "Voice identifier - see System Voice ID List (speech.voice)",
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}),
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},
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"optional": {
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"useSpeed": ("BOOLEAN", {"default": True, "tooltip": "Include speed (speech.speed)"}),
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"speed": ("FLOAT", {
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"default": 1.0,
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"min": 0.5,
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"max": 2.0,
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"step": 0.01,
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"tooltip": "Speech rate multiplier (speech.speed)",
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}),
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"useVolume": ("BOOLEAN", {"default": True, "tooltip": "Include volume (speech.volume)"}),
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"volume": ("FLOAT", {
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"default": 1.0,
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"min": 1.0,
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"max": 10.0,
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"step": 0.1,
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"tooltip": "Volume level 1-10 (speech.volume)",
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}),
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"usePitch": ("BOOLEAN", {"default": False, "tooltip": "Include pitch (speech.pitch)"}),
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"pitch": ("FLOAT", {
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"default": 0.0,
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"min": -12.0,
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"max": 12.0,
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"step": 0.1,
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"tooltip": "Pitch multiplier -12 to 12 (speech.pitch)",
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}),
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"useEmotion": ("BOOLEAN", {"default": False, "tooltip": "Include emotion (not available for speech.turbo)"}),
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"emotion": (cls.EMOTIONS, {"default": "calm", "tooltip": "Emotion for speech (speech.emotion)"}),
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"useTone": ("BOOLEAN", {"default": False, "tooltip": "Include pronunciation dictionary (speech.tone)"}),
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"tone": ("STRING", {
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"multiline": True,
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"default": "",
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"placeholder": "omg/oh my god\nother/other expansion",
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"tooltip": "Pronunciation dictionary, one mapping per line (e.g. omg/oh my god)",
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}),
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}
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}
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RETURN_TYPES = ("RUNWARESPEECH",)
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RETURN_NAMES = ("speech",)
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FUNCTION = "createSpeech"
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CATEGORY = "Runware/Audio"
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DESCRIPTION = "Build speech parameters for Runware Audio Inference. Connect output to the 'speech' input of Runware Audio Inference."
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def createSpeech(self, **kwargs) -> tuple:
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"""Build the speech object for the API (connect to Runware Audio Inference 'speech' input)."""
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text = (kwargs.get("text") or "").strip()
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voice = (kwargs.get("voice") or "").strip()
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use_speed = kwargs.get("useSpeed", True)
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speed = float(kwargs.get("speed", 1.0))
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use_volume = kwargs.get("useVolume", True)
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volume = float(kwargs.get("volume", 1.0))
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use_pitch = kwargs.get("usePitch", False)
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pitch = float(kwargs.get("pitch", 0.0))
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use_emotion = kwargs.get("useEmotion", False)
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emotion = kwargs.get("emotion", "calm")
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use_tone = kwargs.get("useTone", False)
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tone_str = kwargs.get("tone", "") or ""
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speech: Dict[str, Any] = {"text": text, "voice": voice}
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if use_speed:
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speech["speed"] = speed
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if use_volume:
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speech["volume"] = volume
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if use_pitch:
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speech["pitch"] = pitch
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if use_emotion:
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speech["emotion"] = emotion
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if use_tone and tone_str.strip():
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tone_lines = [s.strip() for s in tone_str.replace(",", "\n").split("\n") if s.strip()]
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if tone_lines:
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speech["tone"] = tone_lines
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return (speech,)
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NODE_CLASS_MAPPINGS = {
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"RunwareAudioInferenceSpeech": RunwareAudioInferenceSpeech,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"RunwareAudioInferenceSpeech": "Runware Audio Inference Speech",
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}
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