Model reference · open weights

LavaSR

Available as managed deployment Audio YatharthS · community Audio→audio 1 variants 785 dl/mo

LavaSR is an open-weight audio or speech model from YatharthS. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

MakerYatharthS
TypeAudio & music
TaskAudio→audio
Released2026-02-11
Popularity785 downloads / month
LicenceOpen weights

About

What LavaSR is

LavaSR(v2) is a novel 50MB BWE(bandwidth extension) model along with the UL-UNAS denoiser. It can enhance nearly 5000 seconds of audio in just 1 second while exceeding the quality of 6gb large diffusion models.

Details

  • Model Size: 50mb for pytorch version.
  • Input Rate: Any from 8-48khz.
  • Output Rate: 48kHz
  • Inference Speed: 20-80x realtime on CPU and 800-5000x realtime depending on GPU.

Use cases

  • Restore low quality audio datasets
  • Enhance TTS or ASR model quality.
  • Upscale poor quality voice calls.

Benchmark Comparison

Please check out the repo for objective benchmarks: https://github.com/ysharma3501/LavaSR

ModelSpeed on GPU(bs=1)SizeInput rangeQuality
LavaSR v25000x50MBAny from 8-48khzHighest
AudioSR< 1x realtime~3gb+~2-16khzMedium
AP-BWE(previous formal fastest)< 400x realtime~200MB+8khz/12khz/16khzHigh
NovaSR(previous informal fastest)<3600x realtime~50KB+16khzLow

Usage

Usage instructions can be found here: https://github.com/ysharma3501/LavaSR

Final notes

The model and code are licensed under the Apache-2.0 license. See LICENSE for details.

Stars/Likes would be appreciated, thank you.

Email: yatharthsharma3501@gmail.com

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys lavasr for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (lavasr below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="lavasr" -F file=@audio.mp3

Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.

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