diodiogod
2b69130a42
* docs: add new engine integration guide flow * docs: link new engine guide navigation * docs: clarify SRT is required for TTS engines * docs: document SRT reuse of TTS processor * docs: move new engine guide link below timeline * Add MOSS-TTS engine integration * docs: add reference input mode to engine research * Add MOSS-TTS engine checkpoint * Refine MOSS prompt fields and parameter switching * Refine MOSS prompt field warnings and caching * Improve MOSS inline edit handling and VRAM handoff * Improve MOSS native dialogue mapping and UI * docs: add long-form model analysis and VibeVoice reference * Improve MOSS TTSD chunking, interrupts, and SRT mapping * Refine MOSS mapping, device checks, and metadata * Make MOSS native incompatibilities hard-fail * Document MOSS native hard-fail compatibility rules
518 lines
25 KiB
Python
518 lines
25 KiB
Python
"""
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TTS Audio Suite - Universal multi-engine TTS extension for ComfyUI
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Unified architecture supporting ChatterBox, F5-TTS, and future engines like RVC:
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• 🎤 TTS Text (unified text-to-speech)
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• 📺 TTS SRT (unified SRT subtitle timing)
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• 🔄 Voice Changer (unified voice conversion)
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• ⚙️ Engine nodes (ChatterBox, F5-TTS)
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• 🎭 Character Voices (voice reference management)
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"""
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# Note: PYTORCH_ALLOC_CONF should be set in ComfyUI launch script if needed
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# Setting it here causes "allocator mismatch" errors because ComfyUI already imported torch
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# Import from the main nodes.py file which handles the new unified architecture
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import importlib.util
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import os
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import sys
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# Note: PyTorch inductor patches removed - not needed for PyTorch 2.10+ with triton-windows 3.6+
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# Qwen3-TTS torch.compile optimizations require:
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# - PyTorch 2.10.0+ with CUDA 13.0
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# - triton-windows 3.6.0+ (Windows) or triton 3.6.0+ (Linux)
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# See docs/qwen3_tts_optimizations.md for installation instructions
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# Enable TensorFloat32 for better performance on Ampere+ GPUs (RTX 30xx+)
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try:
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import torch
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if torch.cuda.is_available():
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torch.set_float32_matmul_precision('high')
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except Exception:
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pass
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# PyTorch patches solve TWO PyTorch 2.9 issues:
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# 1. TorchCodec DLL incompatibility on Windows - Global patch uses scipy instead
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# 2. PyTorch 2.9's changed torchaudio.load() returning raw int16 - safe_load_audio() normalizes
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#
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# Transformers patches solve:
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# 1. Step Audio EditX tokenization bug in transformers 4.54+ (audio tokens not recognized)
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# 2. Various model compatibility issues
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try:
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# Load pytorch_patches directly by file path to avoid package import issues
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pytorch_patches_path = os.path.join(os.path.dirname(__file__), "utils", "compatibility", "pytorch_patches.py")
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spec = importlib.util.spec_from_file_location("pytorch_patches_module", pytorch_patches_path)
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pytorch_patches_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(pytorch_patches_module)
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# Apply the patches (will only apply on PyTorch 2.9+, silently skip on older versions)
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pytorch_patches_module.apply_pytorch_patches(verbose=True)
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except Exception as e:
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print(f"⚠️ Warning: Could not apply PyTorch patches: {e}")
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# Transformers compatibility patches DEFERRED to first engine use.
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# The patches module is deprecated (all patches are for old transformers versions),
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# and importing it eagerly pulls in transformers (~1.3s).
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# Patches will be applied lazily when an engine first imports transformers.
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_transformers_patches_applied = False
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def _apply_transformers_patches_once():
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"""Apply transformers patches lazily, on first engine use."""
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global _transformers_patches_applied
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if _transformers_patches_applied:
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return
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_transformers_patches_applied = True
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try:
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transformers_patches_path = os.path.join(os.path.dirname(__file__), "utils", "compatibility", "transformers_patches.py")
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spec = importlib.util.spec_from_file_location("transformers_patches_module", transformers_patches_path)
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transformers_patches_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(transformers_patches_module)
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transformers_patches_module.apply_transformers_patches(verbose=True)
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except Exception as e:
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print(f"⚠️ Warning: Could not apply Transformers patches: {e}")
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# Numba/Librosa compatibility check at startup.
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# Do NOT force NUMBA_DISABLE_JIT on Python 3.13 anymore:
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# newer stacks (for example numba 0.64 + librosa 0.11) can work normally,
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# and forcing the env var can itself trigger the get_call_template crash.
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# For older Python + NumPy 2.x, keep the existing thorough compatibility test.
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if sys.version_info < (3, 13):
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try:
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import numpy as _np
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if int(_np.__version__.split('.')[0]) >= 2:
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numba_compat_path = os.path.join(os.path.dirname(__file__), "utils", "compatibility", "numba_compat.py")
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_spec = importlib.util.spec_from_file_location("numba_compat_module", numba_compat_path)
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_numba_compat = importlib.util.module_from_spec(_spec)
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_spec.loader.exec_module(_numba_compat)
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_numba_compat.setup_numba_compatibility(quick_startup=False, verbose=True)
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except Exception:
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# If the compatibility test itself crashes, that means numba JIT is broken —
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# disable it and warn the user.
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os.environ['NUMBA_DISABLE_JIT'] = '1'
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print("⚠️ TTS Audio Suite: Numba JIT crash detected at startup — disabling JIT (NUMBA_DISABLE_JIT=1)")
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# TorchCodec note: Removed torchcodec dependency to eliminate FFmpeg system requirement
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# torchaudio.load() works fine with fallback backends (soundfile, scipy)
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import warnings
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import sys
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import os
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def check_dependencies():
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"""Fast check for critical dependencies without importing them into memory"""
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critical_packages = ['torch', 'torchaudio', 'transformers', 'librosa', 'numba', 'soundfile', 'accelerate']
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missing = []
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for pkg in critical_packages:
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# Avoid importlib.util.find_spec for namespace packages or if spec is None
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try:
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if importlib.util.find_spec(pkg) is None:
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missing.append(pkg)
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except Exception:
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missing.append(pkg)
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if missing:
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print(f"\n{'='*80}")
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print(f"⚠️ TTS AUDIO SUITE: CRITICAL DEPENDENCIES MISSING ⚠️")
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print(f"{'='*80}")
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print(f"The following required packages are missing: {', '.join(missing)}")
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print(f"")
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print(f"Please run the installation script or install them manually:")
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print(f"pip install -r requirements.txt")
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print(f"{'='*80}\n")
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# Version disclosure for troubleshooting
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def print_critical_versions():
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"""Print versions of critical packages for troubleshooting.
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Uses importlib.metadata to read versions without importing the actual
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packages. This avoids pulling in transformers (~1.3s), librosa (~0.7s),
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and other heavy modules just to print a version string at startup.
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"""
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critical_packages = [
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('numpy', 'NumPy'),
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('librosa', 'Librosa'),
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('numba', 'Numba'),
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('torch', 'PyTorch'),
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('torchaudio', 'TorchAudio'),
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('transformers', 'Transformers'),
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('accelerate', 'Accelerate'),
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('soundfile', 'SoundFile'),
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]
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from importlib.metadata import version as _pkg_version, PackageNotFoundError
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version_info = []
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for pkg_name, display_name in critical_packages:
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try:
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ver = _pkg_version(pkg_name)
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version_info.append(f"{display_name} {ver}")
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except PackageNotFoundError:
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version_info.append(f"{display_name} not installed")
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print(f"ℹ️ Critical package versions: {', '.join(version_info)}")
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def warn_transformers_5_unsupported():
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"""Warn when Transformers 5.x is installed (Qwen3-TTS tokenizer is incompatible).
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NOTE: This check uses sys.modules to avoid eagerly importing transformers (~1.3s).
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If transformers hasn't been imported yet (e.g. by the version-printing function above),
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we skip the check -- it will be caught later when an engine actually loads transformers.
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"""
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try:
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# Only check if transformers is already loaded (avoids ~1.3s eager import)
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import sys as _sys
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if 'transformers' not in _sys.modules:
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return
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transformers = _sys.modules['transformers']
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try:
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from packaging.version import Version
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version = Version(transformers.__version__)
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is_5x = version >= Version("5.0.0")
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except Exception:
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parts = transformers.__version__.split(".")
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is_5x = int(parts[0]) >= 5 if parts and parts[0].isdigit() else False
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if is_5x:
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print("⚠️ Transformers 5.x detected: Qwen3-TTS tokenizer is incompatible.")
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print(" Please downgrade to transformers<=4.57.3 (see requirements.txt).")
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except Exception:
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pass
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def check_ffmpeg_availability():
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"""Check ffmpeg availability and log status"""
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try:
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# Load ffmpeg_utils directly by file path to avoid package import issues
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ffmpeg_utils_path = os.path.join(os.path.dirname(__file__), "utils", "ffmpeg_utils.py")
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spec = importlib.util.spec_from_file_location("ffmpeg_utils_module", ffmpeg_utils_path)
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ffmpeg_utils_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(ffmpeg_utils_module)
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if ffmpeg_utils_module.FFmpegUtils.is_available():
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# Only show when unavailable (problem)
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pass
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else:
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print("⚠️ FFmpeg not found - using fallback audio processing (reduced quality)")
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print("💡 Install FFmpeg for optimal performance: https://ffmpeg.org/download.html")
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except ImportError:
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# Fallback check if utils not available yet
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try:
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import subprocess
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result = subprocess.run(['ffmpeg', '-version'], capture_output=True, timeout=5)
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if result.returncode == 0:
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# Only show when unavailable (problem)
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pass
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else:
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print("⚠️ FFmpeg not found - using fallback audio processing (reduced quality)")
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except Exception:
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print("⚠️ FFmpeg not found - using fallback audio processing (reduced quality)")
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print("💡 Install FFmpeg for optimal performance: https://ffmpeg.org/download.html")
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# Print versions and check dependencies immediately for troubleshooting
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check_dependencies()
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print_critical_versions()
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warn_transformers_5_unsupported()
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check_ffmpeg_availability()
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# Check for old ChatterBox extension conflict
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def check_old_extension_conflict():
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"""Check if the old ComfyUI_ChatterBox_SRT_Voice extension is installed"""
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try:
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import folder_paths
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custom_nodes_path = folder_paths.get_folder_paths("custom_nodes")[0]
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old_extension_path = os.path.join(custom_nodes_path, "ComfyUI_ChatterBox_SRT_Voice")
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if os.path.exists(old_extension_path):
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print("\n" + "="*80)
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print("⚠️ EXTENSION CONFLICT DETECTED ⚠️")
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print("="*80)
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print("❌ OLD EXTENSION FOUND: ComfyUI_ChatterBox_SRT_Voice")
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print("🆕 CURRENT EXTENSION: ComfyUI_TTS_Audio_Suite")
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print("")
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print("The old 'ComfyUI_ChatterBox_SRT_Voice' extension conflicts with this")
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print("new 'ComfyUI_TTS_Audio_Suite' extension and MUST be removed.")
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print("")
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print("REQUIRED ACTION:")
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print(f"1. Delete the old extension folder: {old_extension_path}")
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print("2. Restart ComfyUI")
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print("")
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print("The TTS Audio Suite is the evolved version with:")
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print("• Unified architecture supporting multiple TTS engines")
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print("• Better performance and stability")
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print("• All features from the old extension plus new capabilities")
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print("")
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print("Your workflows will be compatible - just update node names.")
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print("="*80)
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print("")
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return True
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except Exception as e:
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# Silently continue if we can't check (e.g., folder_paths not available yet)
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pass
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return False
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# Perform conflict check
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OLD_EXTENSION_CONFLICT = check_old_extension_conflict()
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# CRITICAL FIX FOR ISSUE #191: Clear poisoned utils from sys.modules
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# Some custom nodes (e.g., LG_HotReload) have a utils.py file that gets loaded
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# into sys.modules['utils'], shadowing our utils/ directory package.
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# This causes "No module named 'utils.models'; 'utils' is not a package" errors
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# when our code tries to import from utils submodules.
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# We must clear it BEFORE loading nodes.py which imports from utils.
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if 'utils' in sys.modules:
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utils_module = sys.modules['utils']
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# Check if it's a poisoned utils (single .py file, not a package directory)
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# Real packages have __path__ attribute, single files don't
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if not hasattr(utils_module, '__path__'):
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# It's a single .py file masquerading as utils - this will break our imports
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utils_file = getattr(utils_module, '__file__', 'unknown')
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print(f"\n{'='*80}")
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print(f"⚠️ UTILS NAMESPACE CONFLICT DETECTED")
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print(f"{'='*80}")
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print(f"Another custom node has a 'utils.py' file in sys.modules['utils']:")
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print(f" Source: {utils_file}")
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print(f"")
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print(f"This conflicts with TTS Audio Suite's 'utils/' package directory.")
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print(f"Removing the conflicting module to allow TTS Audio Suite to load.")
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print(f"")
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print(f"If this causes issues with another custom node, that node should:")
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print(f"• Use relative imports (from .utils import X)")
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print(f"• Or use a unique name instead of 'utils'")
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print(f"{'='*80}\n")
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# Delete the poisoned utils module and any attempted submodules
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del sys.modules['utils']
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to_delete = [key for key in sys.modules.keys() if key.startswith('utils.')]
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for key in to_delete:
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del sys.modules[key]
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# In pytest harness mode, avoid bootstrapping full ComfyUI node graph.
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if os.environ.get("COMFYUI_TESTING") == "1":
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IS_DEV = False
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VERSION = "test"
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SEPARATOR = "=" * 70
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VERSION_DISPLAY = "test"
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NODE_CLASS_MAPPINGS = {}
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NODE_DISPLAY_NAME_MAPPINGS = {}
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else:
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# Get the path to the nodes.py file
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nodes_py_path = os.path.join(os.path.dirname(__file__), "nodes.py")
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# Load nodes.py as a module
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spec = importlib.util.spec_from_file_location("nodes_main", nodes_py_path)
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nodes_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(nodes_module)
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# Import constants and utilities
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IS_DEV = nodes_module.IS_DEV
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VERSION = nodes_module.VERSION
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SEPARATOR = nodes_module.SEPARATOR
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VERSION_DISPLAY = nodes_module.VERSION_DISPLAY
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# The new unified architecture handles all node registration in nodes.py
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# Just import the mappings that nodes.py creates
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NODE_CLASS_MAPPINGS = nodes_module.NODE_CLASS_MAPPINGS
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NODE_DISPLAY_NAME_MAPPINGS = nodes_module.NODE_DISPLAY_NAME_MAPPINGS
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# Extension info
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__version__ = VERSION_DISPLAY
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__author__ = "TTS Audio Suite"
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__description__ = "Universal multi-engine TTS extension for ComfyUI with unified architecture supporting ChatterBox, F5-TTS, and future engines like RVC"
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__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]
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# Define web directory for JavaScript files (settings UI)
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WEB_DIRECTORY = "./web"
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# Register API endpoint for widget data
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def setup_api_routes():
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"""Setup API routes for widget communication"""
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try:
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import json
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from server import PromptServer
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from aiohttp import web
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@PromptServer.instance.routes.get("/api/tts-audio-suite/available-characters")
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async def get_available_characters_endpoint(request):
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"""API endpoint to get available TTS character voices including aliases"""
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try:
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# Load voice discovery directly by file path to avoid package import issues
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voice_discovery_path = os.path.join(os.path.dirname(__file__), "utils", "voice", "discovery.py")
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spec = importlib.util.spec_from_file_location("voice_discovery_module", voice_discovery_path)
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voice_discovery_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(voice_discovery_module)
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characters = list(voice_discovery_module.get_available_characters())
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# Also get character aliases
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aliases = list(voice_discovery_module.voice_discovery._character_aliases.keys()) if hasattr(voice_discovery_module.voice_discovery, '_character_aliases') else []
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# Combine and deduplicate
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all_chars = sorted(set(characters + aliases))
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return web.json_response({"characters": all_chars})
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except Exception as e:
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print(f"⚠️ Error retrieving available characters: {e}")
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return web.json_response({"characters": [], "error": str(e)})
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@PromptServer.instance.routes.get("/api/tts-audio-suite/available-languages")
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async def get_available_languages_endpoint(request):
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"""API endpoint to get available language codes from the canonical language mapper"""
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try:
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# Load language_mapper directly by file path to avoid package import issues
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language_mapper_path = os.path.join(os.path.dirname(__file__), "utils", "models", "language_mapper.py")
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spec = importlib.util.spec_from_file_location("language_mapper_module", language_mapper_path)
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language_mapper_module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(language_mapper_module)
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# Get all unique canonical language codes (the values in LANGUAGE_ALIASES)
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languages = sorted(set(language_mapper_module.LANGUAGE_ALIASES.values()))
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return web.json_response({"languages": languages})
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except Exception as e:
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print(f"⚠️ Error retrieving available languages: {e}")
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# Fallback list
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return web.json_response({"languages": ["en", "de", "fr", "ja", "es", "it", "pt", "th", "no"], "error": str(e)})
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@PromptServer.instance.routes.get("/api/tts-audio-suite/voice-input-devices")
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async def get_voice_input_devices_endpoint(request):
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"""Return input devices without risking a main-process PortAudio hang."""
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try:
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import json
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import subprocess
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probe_script = r"""
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import json
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import sounddevice as sd
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devices = []
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seen = set()
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for device in sd.query_devices():
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try:
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max_input_channels = int(device.get("max_input_channels", 0))
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except Exception:
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max_input_channels = 0
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if max_input_channels <= 0:
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continue
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name = str(device.get("name", "")).strip()
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if not name or name in seen:
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continue
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seen.add(name)
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devices.append(name)
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print(json.dumps({"devices": devices}))
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"""
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result = subprocess.run(
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[sys.executable, "-c", probe_script],
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capture_output=True,
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text=True,
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timeout=8,
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check=False,
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)
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if result.returncode != 0:
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stderr = (result.stderr or "").strip()
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stdout = (result.stdout or "").strip()
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error_message = stderr or stdout or f"device probe exited with code {result.returncode}"
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return web.json_response({"devices": [], "error": error_message}, status=500)
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payload = json.loads(result.stdout or "{}")
|
||
devices = payload.get("devices", [])
|
||
if not isinstance(devices, list):
|
||
devices = []
|
||
|
||
return web.json_response({"devices": devices})
|
||
except subprocess.TimeoutExpired:
|
||
return web.json_response(
|
||
{"devices": [], "error": "Timed out while probing audio input devices. Leaving the dropdown on system default avoids startup hangs."},
|
||
status=504,
|
||
)
|
||
except Exception as e:
|
||
print(f"⚠️ Error retrieving voice input devices: {e}")
|
||
return web.json_response({"devices": [], "error": str(e)}, status=500)
|
||
|
||
@PromptServer.instance.routes.post("/api/tts-audio-suite/settings")
|
||
async def set_inline_tag_settings_endpoint(request):
|
||
"""API endpoint to receive settings from frontend for inline edit tags and restore VC"""
|
||
print("🔧 Settings endpoint called") # Immediate print to verify endpoint is reached
|
||
try:
|
||
data = await request.json()
|
||
precision = data.get("precision", "auto")
|
||
device = data.get("device", "auto")
|
||
vc_engine = data.get("vc_engine", "chatterbox_23lang")
|
||
cosyvoice_variant = data.get("cosyvoice_variant", "RL")
|
||
|
||
print(f"🔧 Received settings: precision={precision}, device={device}, vc_engine={vc_engine}, cosyvoice_variant={cosyvoice_variant}")
|
||
|
||
# Import edit_post_processor using normal import to ensure we get the same module instance
|
||
# that will be used during workflow execution
|
||
# CRITICAL: Must use the same module instance, not create a new one via importlib!
|
||
try:
|
||
from utils.audio import edit_post_processor as edit_post_processor_module
|
||
except ImportError:
|
||
# Fallback: Load directly by file path if normal import fails
|
||
edit_post_processor_path = os.path.join(os.path.dirname(__file__), "utils", "audio", "edit_post_processor.py")
|
||
spec = importlib.util.spec_from_file_location("utils.audio.edit_post_processor", edit_post_processor_path)
|
||
edit_post_processor_module = importlib.util.module_from_spec(spec)
|
||
sys.modules["utils.audio.edit_post_processor"] = edit_post_processor_module # Register in sys.modules!
|
||
spec.loader.exec_module(edit_post_processor_module)
|
||
|
||
# Store in global settings that edit_post_processor can access
|
||
edit_post_processor_module.set_inline_tag_settings(precision=precision, device=device, vc_engine=vc_engine, cosyvoice_variant=cosyvoice_variant)
|
||
|
||
return web.json_response({"status": "success", "precision": precision, "device": device, "vc_engine": vc_engine, "cosyvoice_variant": cosyvoice_variant})
|
||
except Exception as e:
|
||
print(f"⚠️ Error setting inline tag settings: {e}")
|
||
return web.json_response({"status": "error", "error": str(e)})
|
||
|
||
@PromptServer.instance.routes.get("/api/tts-audio-suite/voice-preview")
|
||
async def get_voice_preview_endpoint(request):
|
||
"""
|
||
Stream selected Character Voices dropdown audio for browser preview playback.
|
||
|
||
Query params:
|
||
- voice_name: exact dropdown key from get_available_voices()
|
||
"""
|
||
try:
|
||
voice_name = request.query.get("voice_name", "").strip()
|
||
if not voice_name or voice_name == "none":
|
||
return web.json_response({"error": "voice_name is required and cannot be 'none'"}, status=400)
|
||
|
||
# Load voice discovery directly by file path to avoid package import issues
|
||
voice_discovery_path = os.path.join(os.path.dirname(__file__), "utils", "voice", "discovery.py")
|
||
spec = importlib.util.spec_from_file_location("voice_discovery_module", voice_discovery_path)
|
||
voice_discovery_module = importlib.util.module_from_spec(spec)
|
||
spec.loader.exec_module(voice_discovery_module)
|
||
|
||
# Use cached discovery for fast preview playback.
|
||
voice_discovery_module.get_available_voices(force_refresh=False)
|
||
audio_path, _ = voice_discovery_module.load_voice_reference(voice_name)
|
||
|
||
if not audio_path or not os.path.exists(audio_path):
|
||
return web.json_response({"error": f"Voice file not found: {voice_name}"}, status=404)
|
||
|
||
# Direct stream of resolved local audio file.
|
||
response = web.FileResponse(path=audio_path)
|
||
response.headers["Cache-Control"] = "no-store, no-cache, must-revalidate"
|
||
return response
|
||
except Exception as e:
|
||
print(f"⚠️ Error serving voice preview audio: {e}")
|
||
return web.json_response({"error": str(e)}, status=500)
|
||
|
||
@PromptServer.instance.routes.get("/api/tts-audio-suite/training-progress")
|
||
async def get_training_progress_endpoint(request):
|
||
"""Return live training progress snapshots for one or all tracked training nodes."""
|
||
try:
|
||
from engines.training.progress_registry import get_training_progress_snapshot
|
||
|
||
node_id = request.query.get("node_id")
|
||
snapshot = get_training_progress_snapshot(node_id=node_id)
|
||
response = web.json_response({"nodes": snapshot})
|
||
response.headers["Cache-Control"] = "no-store, no-cache, must-revalidate"
|
||
return response
|
||
except Exception as e:
|
||
print(f"⚠️ Error retrieving training progress: {e}")
|
||
return web.json_response({"nodes": {}, "error": str(e)}, status=500)
|
||
except Exception as e:
|
||
print(f"⚠️ Could not setup API routes: {e}")
|
||
|
||
# Setup API routes when extension loads
|
||
setup_api_routes()
|
||
|
||
# nodes.py already handles all the startup output and status reporting
|