wfloat

wfloat is the Python package for wfloat-tts, Wfloat's on-device English text-to-speech model.

It runs speech locally in Python instead of calling a hosted inference API. The model supports 20 voices with emotion and intensity control.

If you're building for the browser, use @wfloat/wfloat-web. If you're building for React Native, use @wfloat/react-native-wfloat.

Browser demo to hear how it sounds: https://wfloat.com/demo

Install

pip install wfloat

Usage

import wfloat

model = wfloat.load("wfloat/wfloat-tts")

result = model.generate(
    text="No, no, that's not possible. The formula should have crystallized, but it adapted instead. Do you realize what that means for the rest of my work?",
    voice_id="mad_scientist_woman",
    emotion="surprise",
    intensity=0.7,
)

result.audio.save("out.wav")

For multi-speaker dialogue:

import wfloat

model = wfloat.load("wfloat/wfloat-tts")

result = model.generate_dialogue(
    segments=[
        {
            "voice_id": "wise_elder_man",
            "text": "Rain taps against the tavern shutters as you step inside.",
            "emotion": "neutral",
            "intensity": 0.5,
        },
        {
            "voice_id": "strong_hero_man",
            "text": "You're late. Two bandits stole the king's map over three hours ago.",
            "emotion": "fear",
            "intensity": 0.6,
        },
        {
            "voice_id": "strong_hero_man",
            "text": "They fled north, up into the woods.",
            "emotion": "neutral",
            "intensity": 0.5,
        },
    ],
    silence_between_segments_sec=0.35,
)

result.audio.save("dialogue.wav")

You can also generate a WAV from the command line:

wfloat generate \
  --text "Hello world!" \
  --out out.wav \
  --voice-id mad_scientist_woman \
  --emotion surprise \
  --intensity 0.7 \
  --silence-padding-sec 0

For the full CLI help:

wfloat generate --help

The first load downloads the model assets. After that, the package uses the cached local copy.

Speaker IDs

Use voice_id string names or numeric sid values:

Speaker	SID
skilled_hero_man	0
skilled_hero_woman	1
fun_hero_man	2
fun_hero_woman	3
strong_hero_man	4
strong_hero_woman	5
mad_scientist_man	6
mad_scientist_woman	7
clever_villain_man	8
clever_villain_woman	9
narrator_man	10
narrator_woman	11
wise_elder_man	12
wise_elder_woman	13
outgoing_anime_man	14
outgoing_anime_woman	15
scary_villain_man	16
scary_villain_woman	17
news_reporter_man	18
news_reporter_woman	19

Emotions

Supported emotion labels:

• neutral
• joy
• sadness
• anger
• fear
• surprise
• dismissive
• confusion

intensity must be between 0.0 and 1.0.

More

• Docs: https://docs.wfloat.com
• Model card, voices, emotions, and samples: https://huggingface.co/Wfloat/wfloat-tts
• Web package: https://github.com/wfloat/wfloat-web
• React Native package: https://github.com/wfloat/react-native-wfloat