first example

main.py

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+import time
+import torch
+import soundfile as sf
+from qwen_tts import Qwen3TTSModel
+
+# Load the model
+model = Qwen3TTSModel.from_pretrained(
+    "Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice",
+    device_map="cuda:0",
+    dtype=torch.bfloat16,
+)
+
+with open("input.txt", "r") as f:
+    text = f.read()
+    f.close()
+
+# Generate speech with specific instructions
+start_time = time.perf_counter()
+wavs, sr = model.generate_custom_voice(
+    text=text,
+    language="English", 
+    speaker="Aiden",
+    instruct="read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.", 
+)
+end_time = time.perf_counter()
+
+# Save the generated audio
+sf.write("output_custom_voice.wav", wavs[0], sr)
+
+# Print timing
+duration = end_time - start_time
+audio_duration = len(wavs[0]) / sr
+print(f"Generation time: {duration:.2f}s")
+print(f"Audio duration: {audio_duration:.2f}s")
+print(f"Real-time factor: {duration / audio_duration:.2f}x")