ACE-Step-v1-3.5B is a text-to-audio model that supports high-quality audio generation, suitable for music and sound effects creation.

Audio ProcessingGguf

Bark is a Transformer-based text-to-audio model created by Suno, capable of generating highly realistic multilingual speech, music, background noise, and sound effects.

Audio ProcessingPytorchMultiple Languages

MAGNeT is a non-autoregressive Transformer-based text-to-music and sound effects generation model capable of producing high-quality audio samples from text descriptions.

Bark is a Transformer-based text-to-audio model created by Suno, capable of generating highly realistic multilingual speech, music, background noise, and simple sound effects.

Audio ProcessingTransformersMultiple Languages

TANGO is a latent diffusion model-based text-to-audio generation tool capable of producing realistic audio including human voices, animal sounds, and natural/artificial sound effects based on text prompts.

Audio ProcessingTransformersEnglish

Bark is a Transformer-based text-to-audio model created by Suno, capable of generating highly realistic multilingual speech, music, background noise, and simple sound effects.

Audio ProcessingTransformersMultiple Languages

TANGO is an instruction-guided diffusion model for text-to-audio generation, capable of producing realistic audio including human voices, animal sounds, and natural or artificial sound effects based on text prompts.

Audio ProcessingTransformersEnglish