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Text-to-speech generation using Qwen3-TTS via FAL API
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Align text to audio timestamps using Qwen3-ForcedAligner (~30ms precision)
Full pipeline from manga panels to animated video. Two audio modes: dialogue (Qwen3-TTS + karaoke captions) or music (ElevenLabs + rolling lyrics).
Burn karaoke captions into video using FFmpeg ASS subtitles (~20s for 16s video)
Generate multi-panel manga from character reference and story beats
Generates original background music using Google's Music Generation API. Creates soundtracks matched to scene mood and timing.
Concatenates video clips and optionally adds background music using FFmpeg.
| name | Qwen3-TTS |
| description | Text-to-speech generation using Qwen3-TTS via FAL API |
| triggers | ["Generate speech audio from dialogue","Multi-character voice synthesis","TTS for manga dialogue"] |
Generate high-quality speech audio from text using Qwen3-TTS.
from skills.qwen_tts import QwenTTS
tts = QwenTTS()
# Single line
result = await tts.generate_speech("Hello world!")
# result.audio_path, result.duration_seconds
# Multi-character dialogue
results = await tts.generate_dialogue([
("Mochi", "Hi there! What's that?"),
("Hero", "It's a treasure map!"),
])
QwenTTS.generate_speech()async def generate_speech(
text: str,
output_path: Path = None,
voice_embedding: Optional[Path] = None,
style_prompt: Optional[str] = None,
) -> TTSResult
QwenTTS.generate_dialogue()async def generate_dialogue(
dialogue_lines: list[tuple[str, str]],
character_voices: dict[str, Path] = None,
output_dir: Path = None,
) -> list[TTSResult]
Voice embeddings can be created using the FAL voice cloning API.
Pass a .safetensors file path to voice_embedding parameter.