Fish Audio Drama 3 vs Qwen3-TTS 12Hz 1.7B CustomVoice

Fish Audio Drama 3

A local voice cousin for directed speech, multi-character scenes, voice cloning and word-level edits in about 80 languages. It needs an NVIDIA GPU, about 29 GB for the int4 build or at least 48 GB for FP8, through SGLang-Omni or fish-speech. The main risk is the licence, revocable, capped at USD 500,000 revenue for commercial use and barring hosted services.

Qwen3-TTS 12Hz 1.7B CustomVoice

A local speech cousin with a fixed set of good voices in ten languages, emotion and pace set by a plain instruction, under plain Apache 2.0. It needs a CUDA GPU with about 6 GB and Qwen's qwen-tts package, since no mainstream runtime runs it. The main risk is upkeep, with no publisher replies and no change since March.

Fish Audio Drama 3

1. Install SGLang-Omni from source with uv pip install --prerelease=allow -e ".[fishaudio]", then sgl-omni serve --model-path fishaudio/drama-3-int4 --port 8000 (or fishaudio/drama-3 for FP8 on 48 GB or more)
2. POST JSON to /v1/audio/speech with input, optional references (audio_path and its transcript) and previous_takes; set response_format and stream for the output
3. Start each line with <|speaker:N|> (N from 0 to 15) for several voices, and separate lines with <|audio_separator|>
4. Direct with point tags like [sighs], scoped tags like <whisper>...</whisper>, a bracketed style prefix, or Direction: and Line: for a director's note
5. The int4 build needs compute capability 8.0 or newer; only the triton attention backend is accepted
6. Keep each reference clip under 60 seconds and the prompt under 8,192 rows, about 21.5 rows per second of reference audio
7. Check the licence before commercial use or exposing it to other users, and only clone voices with consent
8. Treat text from untrusted sources as a script that can carry directions and speaker tags

Qwen3-TTS 12Hz 1.7B CustomVoice

1. Install with pip install -U qwen-tts in Python 3.12, then load Qwen3TTSModel.from_pretrained('Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice', device_map='cuda:0', dtype=torch.bfloat16)
2. Call generate_custom_voice(text=..., language=..., speaker=..., instruct=...); it returns (wavs, sr), write wavs[0] with soundfile
3. Speakers are Vivian, Serena, Uncle_Fu, Dylan, Eric, Ryan, Aiden, Ono_Anna and Sohee; get_supported_speakers() is authoritative, and each sounds best in its native language
4. Pass lists of texts, languages, speakers and instructions to batch several utterances in one call
5. For a browser UI, qwen-tts-demo Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice --ip 127.0.0.1 --port 8000; there is no HTTP API in the package
6. FlashAttention 2 lowers memory and needs float16 or bfloat16
7. For cloning from a reference clip use Qwen3-TTS-12Hz-1.7B-Base instead