feat: add Voice Design node + language and guidance_scale to Generate
OmniVoiceVoiceDesign: structured dropdowns for gender/age/pitch/accent that compose into an instruct string — wire to Generate's instruct input. OmniVoiceGenerate: new optional language dropdown (auto + 11 languages) and guidance_scale (CFG, default 2.0) parameters. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -3,5 +3,6 @@ from .generator import OmniVoiceGenerate
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from .epub_loader import OmniVoiceEpubLoader
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from .voice_presets import OmniVoiceVoicePreset
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from .mix_voices import OmniVoiceMixVoices
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from .voice_design import OmniVoiceVoiceDesign
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__all__ = ["OmniVoiceModelLoader", "OmniVoiceGenerate", "OmniVoiceEpubLoader", "OmniVoiceVoicePreset", "OmniVoiceMixVoices"]
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__all__ = ["OmniVoiceModelLoader", "OmniVoiceGenerate", "OmniVoiceEpubLoader", "OmniVoiceVoicePreset", "OmniVoiceMixVoices", "OmniVoiceVoiceDesign"]
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@@ -62,6 +62,14 @@ class OmniVoiceGenerate:
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"default": "",
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"tooltip": "Transcription of ref_audio. Connect a Whisper (or other STT) node for best results.",
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}),
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"language": (
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["auto", "English", "Chinese", "Japanese", "Korean", "French",
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"Spanish", "German", "Portuguese", "Russian", "Arabic", "Hindi"],
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{
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"default": "auto",
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"tooltip": "Language of the text to synthesize. 'auto' lets the model detect it.",
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},
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),
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"instruct": ("STRING", {
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"default": "",
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"tooltip": (
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@@ -79,6 +87,13 @@ class OmniVoiceGenerate:
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"EXAMPLE: female, high pitch, british accent"
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),
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}),
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"guidance_scale": ("FLOAT", {
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"default": 2.0, "min": 0.0, "max": 20.0, "step": 0.1,
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"tooltip": (
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"Classifier-free guidance scale. Higher = more faithful to the reference/instruct, "
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"but can over-saturate. 2.0 is a good default."
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),
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}),
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"speed": ("FLOAT", {
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"default": 1.0, "min": 0.1, "max": 3.0, "step": 0.1,
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"tooltip": "Playback speed multiplier. 1.0 = normal, >1.0 = faster, <1.0 = slower.",
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@@ -104,10 +119,13 @@ class OmniVoiceGenerate:
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FUNCTION = "generate"
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CATEGORY = "OmniVoice"
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def generate(self, model, text, mode, ref_audio=None, ref_text="", instruct="", speed=1.0, num_step=32, seed=0):
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def generate(self, model, text, mode, ref_audio=None, ref_text="", language="auto",
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instruct="", guidance_scale=2.0, speed=1.0, num_step=32, seed=0):
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if seed != 0:
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torch.manual_seed(seed)
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kwargs = {"text": text, "speed": speed, "num_step": num_step}
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kwargs = {"text": text, "speed": speed, "num_step": num_step, "guidance_scale": guidance_scale}
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if language != "auto":
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kwargs["language"] = language
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if mode == "voice_cloning" and ref_audio is None:
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raise ValueError("voice_cloning mode requires ref_audio to be connected")
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@@ -0,0 +1,32 @@
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class OmniVoiceVoiceDesign:
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"""Compose a voice design instruct string from structured dropdowns."""
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GENDERS = ["none", "male", "female"]
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AGES = ["none", "child", "teenager", "young adult", "middle-aged", "elderly"]
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PITCHES = ["none", "very low pitch", "low pitch", "moderate pitch", "high pitch", "very high pitch", "whisper"]
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ACCENTS = [
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"none",
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"american accent", "british accent", "australian accent", "canadian accent",
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"indian accent", "chinese accent", "japanese accent", "korean accent",
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"portuguese accent", "russian accent",
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]
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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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"gender": (cls.GENDERS, {"default": "female"}),
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"age": (cls.AGES, {"default": "none"}),
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"pitch": (cls.PITCHES, {"default": "none"}),
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"accent": (cls.ACCENTS, {"default": "none"}),
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},
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}
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RETURN_TYPES = ("STRING",)
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RETURN_NAMES = ("instruct",)
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FUNCTION = "compose"
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CATEGORY = "OmniVoice"
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def compose(self, gender, age, pitch, accent):
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parts = [v for v in [gender, age, pitch, accent] if v != "none"]
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return (", ".join(parts),)
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