print debug messages to stderr instead of stdout
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+7
-6
@@ -1,4 +1,5 @@
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import os
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import sys
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import re
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import tempfile
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import numpy as np
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@@ -30,7 +31,7 @@ class VoxCPM:
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lora_weights_path: Path to pre-trained LoRA weights (.pth file or directory
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containing lora_weights.ckpt). If provided, LoRA weights will be loaded.
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"""
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print(f"voxcpm_model_path: {voxcpm_model_path}, zipenhancer_model_path: {zipenhancer_model_path}, enable_denoiser: {enable_denoiser}")
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print(f"voxcpm_model_path: {voxcpm_model_path}, zipenhancer_model_path: {zipenhancer_model_path}, enable_denoiser: {enable_denoiser}", file=sys.stderr)
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# If lora_weights_path is provided but no lora_config, create a default one
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if lora_weights_path is not None and lora_config is None:
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@@ -39,15 +40,15 @@ class VoxCPM:
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enable_dit=True,
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enable_proj=False,
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)
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print(f"Auto-created default LoRAConfig for loading weights from: {lora_weights_path}")
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print(f"Auto-created default LoRAConfig for loading weights from: {lora_weights_path}", file=sys.stderr)
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self.tts_model = VoxCPMModel.from_local(voxcpm_model_path, optimize=optimize, lora_config=lora_config)
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# Load LoRA weights if path is provided
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if lora_weights_path is not None:
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print(f"Loading LoRA weights from: {lora_weights_path}")
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print(f"Loading LoRA weights from: {lora_weights_path}", file=sys.stderr)
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loaded_keys, skipped_keys = self.tts_model.load_lora_weights(lora_weights_path)
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print(f"Loaded {len(loaded_keys)} LoRA parameters, skipped {len(skipped_keys)}")
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print(f"Loaded {len(loaded_keys)} LoRA parameters, skipped {len(skipped_keys)}", file=sys.stderr)
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self.text_normalizer = None
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if enable_denoiser and zipenhancer_model_path is not None:
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@@ -56,7 +57,7 @@ class VoxCPM:
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else:
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self.denoiser = None
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if optimize:
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print("Warm up VoxCPMModel...")
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print("Warm up VoxCPMModel...", file=sys.stderr)
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self.tts_model.generate(
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target_text="Hello, this is the first test sentence.",
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max_len=10,
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@@ -278,4 +279,4 @@ class VoxCPM:
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@property
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def lora_enabled(self) -> bool:
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"""Check if LoRA is currently configured."""
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return self.tts_model.lora_config is not None
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return self.tts_model.lora_config is not None
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