Oznake koje odabrani model razumije — kliknite da biste ih ubacili u tekst gdje se pojavljuju:
Ovaj model čita običan tekst, tako da se inline oznake ignoriraju. Za emocije zasnovane na oznakama, prebacite se na ekspresivni model poput Orpheusa ili Bark-a.
Prirodni jezik dostave signala. Poštovan od strane Qwen3-TTS danas; drugi ekspresivni modeli dolaze uskoro.
Ovaj model ne podržava stilske instrukcije - prebacite se na model koji ih podržava (npr. Qwen3-TTS).
Definirajte vlastite izgovore (riječ = izgovor):
-12
+12
Kontrolira ekspresivnost (0 = neutralno, 1 = vrlo ekspresivno)
Težina vodilja bez klasifikatora (više = više praćenja prompta)
Opis stila glasa u prirodnom jeziku (Parler koristi ovo umjesto unaprijed postavljenih glasova)
Dia Dialog Format: Koristite [S1] i [S2] oznake za označavanje različitih govornika. Primjer: [S1] Zdravo! [S2] Zdravo, kako ste?
Ovo je premium model glasa, dostupan na bilo kojem plaćenom planu. Još uvijek možete besplatno pregledati njegove glasove pomoću gumba za reprodukciju pored birača glasa.
Pocket TTS comes from Kyutai, the lab behind the Moshi speech model, and is built around a transformer paired with the Mimi codec. At just 100M parameters it runs efficiently on CPU, yet it still supports zero-shot voice cloning from a single audio sample — an unusual feature at this size. It covers English and French and handles up to 1,000 characters per request at fast (~2s) speeds. The small footprint and ~1GB VRAM make it a natural fit for edge deployment and low-resource or CPU-only environments where quick voice cloning is needed.
Najbolje za: Lightweight deployment, CPU-only environments, quick voice cloning
SlobodanFemaleSamo za ličnu i nekomercijalnu upotrebu
Eponine
English
SlobodanFemale
Fantine
English
SlobodanFemale
Fantine (French)
French
SlobodanFemale
Javert
English
SlobodanMale
Jean
English
SlobodanMaleSamo za ličnu i nekomercijalnu upotrebu
Jean (French)
French
SlobodanMaleSamo za ličnu i nekomercijalnu upotrebu
Marius
English
SlobodanMale
Pocket TTS FAQ
Yes. Pocket TTS does zero-shot voice cloning from a single reference sample (about 3 seconds), which is notable for a model this small.
Yes. At 100M parameters it runs efficiently on CPU and needs only about 1GB VRAM if a GPU is used, making it well suited to edge and low-resource deployment.
Mostly. Pocket TTS weights are released under CC BY 4.0 and it sits in the free tier. Its Jean and Cosette voices come from non-commercial datasets and are marked "Personal and non-commercial use only" on every plan. Audio from its other voices is for personal use on the free tier and can be used commercially on any paid plan. It supports English and French.
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Nema potrebe za šifrom — poslat ćemo vam link da ga postavite kasnije.
Dosegnuto ograničenje slobodnih nivoa
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