Instructions to use suno/bark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suno/bark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="suno/bark")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("suno/bark") model = AutoModelForTextToWaveform.from_pretrained("suno/bark") - Notebooks
- Google Colab
- Kaggle
sound effect generation not explaind
how can i generated a sound effect what is the structure of type prompt supposed to look like for example "door opening"
its mostly trained for conversational speech responses.
any way we can train on "door opening" etc. ?
known tags:
[laughter]
[laughs]
[sighs]
[music]
[gasps]
[clears throat]
— or ... for hesitations
♪ for song lyrics
CAPITALIZATION for emphasis of a word
[MAN] and [WOMAN] to bias Bark toward male and female speakers, respectively
community discover:
[whispers], [giggles], [snickers], [coughs], [groans], [yells], [gasps], [whimpers], [sobs], [murmurs],
[chuckles], [hums], [sneezes], [grunts], [shrieks], [hiccups], [stammers], [stutters], [grumbles], [snorts],
[howls], [moans], [guffaws], [sighs deeply], [laughs nervously], [cries], [sniffs], [smacks lips], [claps], [sings],
[yawns], [mumbles], [shushes], [exhales sharply], [snaps], [whistles], [crunches], [slurps], [smacks], [clicks],
[clinks], [clatters], [sizzles], [rustles], [splashes], [claps], [taps], [thumps], [rumbles], [drums], [jingles], [jangles],
[pops], [bangs], [hisses], [scratches], [squeaks], [screeches], [buzzes], [swooshes], [swoops], [clangs],
[whirrs], [chirps], [beeps], [tick-tocks], [thuds], [swishes], [crackles], [fizzes], [humming]
notice that this list can increase with time.
join Suno Discord for more help
https://discord.gg/suno-ai