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Bigvgan v2 24khz 100band 256x

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KindOtherVersionRevision c329ede

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Other
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429 MB–1.35 GB
Version
vRevision c329ede
Updated
Sep 12, 2026
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27.3K
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Hugging Face

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[[Paper]]( - [[Code]]( - [[Showcase]]( - [[Project Page]]( - [[Weights]]( - [[Demo]](

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Hugging FacePrimaryVersion c329ede9e9bbc100ddf5c91e2330a61921262370
huggingface.co/nvidia/bigvgan_v2_24khz_100band_256x/tree/c329ede9e9bbc100ddf5c91e2330a61921262370

Verified Sep 12

Model artifacts

4 artifacts

bigvgan_discriminator_optimizer_3msteps.pt

pt · 1.35 GB · SHA-256 efcc619cd2f6…ff90 · Hugging Face

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bigvgan_discriminator_optimizer.pt

pt · 1.35 GB · SHA-256 41f7718f34fb…f8f5 · Hugging Face

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bigvgan_generator_3msteps.pt

pt · 429 MB · SHA-256 f6e3ad0dc7ef…46c7 · Hugging Face

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bigvgan_generator.pt

pt · 429 MB · SHA-256 6f9c5715550c…76f5 · Hugging Face

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Source excerpts

2 excerpts

--- license: mit license_link: https://huggingface.co/nvidia/BigVGAN/blob/main/LICENSE tags: - neural-vocoder - audio-generation library_name: PyTorch pipeline_tag: audio-to-audio --- ## BigVGAN: A Universal Neural Vocoder with Large-Scale Training #### Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon [[Paper]](https://arxiv.org/abs/2206.04658) - [[Code]](https://github.com/NVIDIA/BigVGAN) - [[Showcase]](https://bigvgan-demo.github.io/) - [[Project Page]](https://research.nvidia.com/labs/adlr/projects/bigvgan/) - [[Weights]](https://huggingface.co/collections/nvidia/bigvgan-66959df3d97fd7d98d97dc9a) - [[Demo]](https://huggingface.co/spaces/nvidia/BigVGAN) [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/bigvgan-a-universal-neural-vocoder-with-large/speech-synthesis-on-libritts)](https://paperswithcode.com/sota/speech-synthesis-on-libritts?p=bigvgan-a-universal-neural-vocoder-with-large) <center><img src="https://user-images.githubusercontent.com/15963413/218609148-881e39df-33af-4af9-ab95-1427c4ebf062.png" width="800"></center> ## News - **Jul 2024 (v2.3):** - General refactor and code improvements for improved readability. - Fully fused CUDA kernel of anti-alised activation (upsampling + activation + downsampling) with inference speed benchmark. - **Jul 2024 (v2.2):** The repository now includes an interactive local demo using gradio. - **Jul 2024 (v2.1):** BigVGAN is now integrated with 🤗 Hugging Face Hub with easy access to inference using pretrained checkpoints. We also provide an interactive demo on Hugging Face Spaces. - **Jul 2024 (v2):** We release BigVGAN-v2 along with pretrained checkpoints. Below are the highlights: - Custom CUDA kernel for inference: we provide a fused upsampling + activation kernel written in CUDA for accelerated inference speed. Our test shows 1.5 - 3x faster speed on a single A100 GPU. - Improved discriminator and loss: BigVGAN-v2 is trained using a multi-scale sub-band CQT discriminator and a multi-scale mel spectrogram loss. - Larger training data: BigVGAN-v2 is trained using datasets containing diverse audio types, including speech in multiple languages, environmental sounds, and instruments. - We provide pretrained checkpoints of BigVGAN-v2 using diverse audio configurations, supporting up to 44 kHz sampling rate and 512x upsampling ratio. ## Installat...

Source context: 27257 downloads · 24 likes · Pipeline audio-to-audio · Library PyTorch · Repo nvidia/bigvgan_v2_24khz_100band_256x