Skip to main content

vox-step-audio-editx

vox-step-audio-editx provides Step-Audio-EditX voice-cloning synthesis for Vox.

Install

pip install vox-step-audio-editx

Runtime Dependencies

The package contains only the Vox adapter. vox pull installs the pinned Step-Audio-EditX inference runtime, including its matching TorchVision package, into $VOX_HOME/runtime/step-audio-editx. The Vox application environment remains the owner of Torch, TorchAudio, Triton, and CUDA runtime libraries.

The supported backend is Linux x86_64 CUDA with at least 10GiB of usable VRAM budget. CPU, ONNX, and Spark/ARM NVIDIA execution are not currently production-supported.

Use with Vox

vox pull step-audio-editx:3b-awq
vox run step-audio-editx:3b-awq "Hello from a cloned voice" --voice /path/to/reference.wav

The model requires reference audio and its transcript. Stored Vox voices provide both through the standard voice API. Inline paralinguistic markers supported by Step-Audio-EditX, such as [Laughter] and [Sigh], may be included in the input text.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vox_step_audio_editx-0.1.7.tar.gz (8.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

vox_step_audio_editx-0.1.7-py3-none-any.whl (10.8 kB view details)

Uploaded Python 3

File details

Details for the file vox_step_audio_editx-0.1.7.tar.gz.

File metadata

  • Download URL: vox_step_audio_editx-0.1.7.tar.gz
  • Upload date:
  • Size: 8.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.0

File hashes

Hashes for vox_step_audio_editx-0.1.7.tar.gz
Algorithm Hash digest
SHA256 c0ad832fb4c4394b529bcf62b6e7ccb6253cb7e7c3bc4ee19cd51eca24233a64
MD5 226b746ff838ceb31151b8e371e729c1
BLAKE2b-256 81521b5265329b92c3e35f37e75a366698e293aea54289889729abfa264b3121

See more details on using hashes here.

File details

Details for the file vox_step_audio_editx-0.1.7-py3-none-any.whl.

File metadata

File hashes

Hashes for vox_step_audio_editx-0.1.7-py3-none-any.whl
Algorithm Hash digest
SHA256 e9dbf1b1c167d12ad0c0c3fccc5abccaf8bc4ecbfd13e89755fd3b7fe334d298
MD5 b87de6b6cd14d3cc18239ff4e92a50b6
BLAKE2b-256 c1445f9c214a03b13f9428722c786814626c0fd1e2519c705ecb4d959947a10f

See more details on using hashes here.

Release history Release notifications | RSS feed

0.1.9

2 files

0.1.8

2 files

This release

0.1.7 This release

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page