niobures/HiFi-GAN
By niobures · ↓ 0 · ♥ 0 · Updated 2025-10-24
What's in this repo
This page lists the files in niobures/HiFi-GAN, including generator_dynamic.onnx, hifigan.onnx, hifigan_universal_22050hz_v1.onnx and more.
- 13 ONNX models (.onnx files)
- 154 files, including 21 .tar, 15 .json, 14 .yaml, 13 .onnx, 8 .txt, 7 .py
- Last updated 2025-10-24
ONNX files
| File | Size | Download |
|---|---|---|
| ailia-models/generator_dynamic.onnx | — | Download |
| hifi-GAN/hifigan.onnx | — | Download |
| hifigan_for_sherpa/hifigan_universal_22050hz_v1.onnx | — | Download |
| hifigan_for_sherpa/hifigan_vctk_22050hz_v1.onnx | — | Download |
| hifigan_for_sherpa/hifigan_vctk_22050hz_v2.onnx | — | Download |
| hifigan_for_sherpa/hifigan_vctk_22050hz_v3.onnx | — | Download |
| sherpa-onnx-hifigan/hifigan_v1.onnx | — | Download |
| sherpa-onnx-hifigan/hifigan_v2.onnx | — | Download |
| sherpa-onnx-hifigan/hifigan_v3.onnx | — | Download |
| speecht5_hifigan/onnx/model.onnx | — | Download |
Showing 10 of 13 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
No README provided by the author.
Model info
nemo
nemo
tensorboard
onnx
region:us
↓ 0
♥ 0
Created: 2025-09-29
Updated: 2025-10-24
View on Hugging FaceFiles (154)
.gitattributes
ailia-models/code/LICENSE.txt
ailia-models/code/README.md
ailia-models/code/hifigan.py
ailia-models/code/requirments.txt
ailia-models/code/tests/test.npy
ailia-models/code/tests/test1.wav
ailia-models/code/tests/test2.wav
ailia-models/generator_dynamic.onnx
ONNX
ailia-models/generator_dynamic.onnx.prototxt
ailia-models/source.txt
hifi-GAN/.gitattributes
hifi-GAN/config.json
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/best_model.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/best_model_340320.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/checkpoint_385000.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/checkpoint_390000.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/checkpoint_395000.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/checkpoint_400000.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/config.json
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701230754.f0ec6ea0c2aa
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701245715.bbcbb90e18d2
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701250675.54e7556ad139
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701265344.04e0d202f89d
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701699561.d5c95fd92f8b
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701739406.e800ca8a5219
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701749675.9cf7f4ce2382
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701761409.08a26e6da2b3
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701769299.a1c65e365b57
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701783790.80e21d2fce0b
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701830520.e36e4bb81044
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701840247.aac12b51cc1d
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701848500.73be90c23642
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701856633.baf9e0a4f712
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701865612.a77b108f956a
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701874369.d5b717874888
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1701905100.8ce038246fbc
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/events.out.tfevents.1702465247.d91158571a81
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/scale_stats.npy
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/여기서 나온거/best_model.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/여기서 나온거/best_model_291880.pth.tar
hifi-GAN/hifigan-v2-December-04-2023_01+59PM-3aa165a/여기서 나온거/events.out.tfevents.1701698379.fddaafb7447a
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/best_model.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/best_model_340320.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_305000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_310000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_315000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_320000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_325000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_330000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_335000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_340000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_345000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/checkpoint_350000.pth.tar
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/config.json
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1700719508.7c5618396c37
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1700724920.2248ce0f5fbe
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1700754260.8311c2767d11
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1700816825.0a46c384f5f0
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1700817881.2b685d5b7e2e
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701145211.80ab570dda0a
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701165827.a902eadbf5a3
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701230754.f0ec6ea0c2aa
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701245715.bbcbb90e18d2
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701250675.54e7556ad139
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/events.out.tfevents.1701265344.04e0d202f89d
hifi-GAN/hifigan-v2-November-23-2023_06+05AM-3aa165a/scale_stats.npy
hifi-GAN/hifigan.onnx
ONNX
hifi-GAN/model_file.pth.tar
hifi-GAN/scale_stats.npy
hifi-GAN/scale_stats_new.npy
hifi-GAN/source.txt
hifi-gan.zip
hifigan_for_sherpa/.gitattributes
hifigan_for_sherpa/README.md
hifigan_for_sherpa/hifigan_universal_22050hz_v1.onnx
ONNX
hifigan_for_sherpa/hifigan_vctk_22050hz_v1.onnx
ONNX
hifigan_for_sherpa/hifigan_vctk_22050hz_v2.onnx
ONNX
hifigan_for_sherpa/hifigan_vctk_22050hz_v3.onnx
ONNX
hifigan_for_sherpa/khadijah_LJ_v2_vocoder.wav
hifigan_for_sherpa/khadijah_vctk_v2_vocoder.wav
hifigan_for_sherpa/musa_LJ_v2_vocoder.wav
hifigan_for_sherpa/musa_vctk_v2_vocoder.wav
hifigan_for_sherpa/pretrained/LJ_FT_T2_V1/config.json
hifigan_for_sherpa/pretrained/LJ_FT_T2_V1/generator_v1
hifigan_for_sherpa/pretrained/LJ_FT_T2_V2/config.json
hifigan_for_sherpa/pretrained/LJ_FT_T2_V2/generator_v2
hifigan_for_sherpa/pretrained/LJ_FT_T2_V3/config.json
hifigan_for_sherpa/pretrained/LJ_FT_T2_V3/generator_v3
hifigan_for_sherpa/pretrained/LJ_V1/config.json
hifigan_for_sherpa/pretrained/LJ_V1/generator_v1
hifigan_for_sherpa/pretrained/LJ_V2/config.json
hifigan_for_sherpa/pretrained/LJ_V2/generator_v2
hifigan_for_sherpa/pretrained/LJ_V3/config.json
hifigan_for_sherpa/pretrained/LJ_V3/generator_v3
hifigan_for_sherpa/pretrained/UNIVERSAL_V1/config.json
hifigan_for_sherpa/pretrained/UNIVERSAL_V1/do_02500000
hifigan_for_sherpa/pretrained/UNIVERSAL_V1/g_02500000
hifigan_for_sherpa/pretrained/VCTK_V1/config.json
hifigan_for_sherpa/pretrained/VCTK_V1/generator_v1
hifigan_for_sherpa/pretrained/VCTK_V2/config.json
hifigan_for_sherpa/pretrained/VCTK_V2/generator_v2
hifigan_for_sherpa/pretrained/VCTK_V3/config.json
hifigan_for_sherpa/pretrained/VCTK_V3/generator_v3
hifigan_for_sherpa/source.txt
sherpa-onnx-hifigan/.gitattributes
sherpa-onnx-hifigan/hifigan_v1.onnx
ONNX
sherpa-onnx-hifigan/hifigan_v2.onnx
ONNX
sherpa-onnx-hifigan/hifigan_v3.onnx
ONNX
sherpa-onnx-hifigan/source.txt
speecht5_hifigan/.gitattributes
speecht5_hifigan/README.md
speecht5_hifigan/config.json
speecht5_hifigan/onnx/model.onnx
ONNX
speecht5_hifigan/onnx/model_quantized.onnx
ONNX
speecht5_hifigan/pth/.gitattributes
speecht5_hifigan/pth/README.md
speecht5_hifigan/pth/config.json
speecht5_hifigan/pth/pytorch_model.bin
speecht5_hifigan/source.txt
tts_fa_fastpitch_hifigan-v2.0/.gitattributes
tts_fa_fastpitch_hifigan-v2.0/README.md
tts_fa_fastpitch_hifigan-v2.0/config/fastpitch/.ipynb_checkpoints/fastpitch_align_22050_grapheme-checkpoint.yaml
tts_fa_fastpitch_hifigan-v2.0/config/fastpitch/ds_for_fastpitch_align.yaml
tts_fa_fastpitch_hifigan-v2.0/config/fastpitch/fastpitch_align_22050_grapheme.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/.ipynb_checkpoints/hifigan-checkpoint.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/hifigan.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/generator/.ipynb_checkpoints/v1-checkpoint.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/generator/v1.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/train_ds/.ipynb_checkpoints/train_ds_finetune-checkpoint.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/train_ds/train_ds_finetune.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/train_ds_finetune.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/v1.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/val_ds_finetune.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/validation_ds/.ipynb_checkpoints/val_ds_finetune-checkpoint.yaml
tts_fa_fastpitch_hifigan-v2.0/config/hifigan/model/validation_ds/val_ds_finetune.yaml
tts_fa_fastpitch_hifigan-v2.0/models/FastPitch--val_loss-0.7236-epoch-50.ckpt
tts_fa_fastpitch_hifigan-v2.0/models/FastPitch--val_loss-0.7236-epoch-50.nemo
tts_fa_fastpitch_hifigan-v2.0/models/HifiGan--val_loss-0.6090-epoch-39-last.nemo
tts_fa_fastpitch_hifigan-v2.0/models/HifiGan--val_loss-2.0688-epoch-12-last.ckpt
tts_fa_fastpitch_hifigan-v2.0/models/HifiGan--val_loss-2.0733-epoch-12-last.nemo
tts_fa_fastpitch_hifigan-v2.0/models/onnx-models/fastpitch.onnx
ONNX
tts_fa_fastpitch_hifigan-v2.0/models/onnx-models/hifigan.onnx
ONNX
tts_fa_fastpitch_hifigan-v2.0/persian-dict/persian-v5.0.dict
tts_fa_fastpitch_hifigan-v2.0/scripts/.ipynb_checkpoints/generate_mels-checkpoint.py
tts_fa_fastpitch_hifigan-v2.0/scripts/.ipynb_checkpoints/hifigan_finetune-checkpoint.py
tts_fa_fastpitch_hifigan-v2.0/scripts/extract_sup_data.py
tts_fa_fastpitch_hifigan-v2.0/scripts/fastpitch.py
tts_fa_fastpitch_hifigan-v2.0/scripts/generate_mels.py
tts_fa_fastpitch_hifigan-v2.0/scripts/hifigan_finetune.py
tts_fa_fastpitch_hifigan-v2.0/source.txt
tts_fa_fastpitch_hifigan-v2.0/tts-nemo-fastpitch-hifigan-from-scratch-finetuning-hifigan.ipynb
tts_fa_fastpitch_hifigan-v2.0/tts-nemo-fastpitch-hifigan-inference-only.ipynb
tts_fa_fastpitch_hifigan-v2.0/tts_nemo_fastpitch_hifigan_convert_to_onnx.ipynb
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