From 17507519f716c9c364314fa6bd3a14e44cc9d06f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Alexandre=20D=C3=A9fossez?= Date: Thu, 16 Apr 2020 10:17:52 +0200 Subject: [PATCH] Update README.md --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index 0a333454..abf0433c 100644 --- a/README.md +++ b/README.md @@ -148,7 +148,6 @@ In order to try Demucs or Conv-Tasnet on your tracks, simply run from the root o ```bash python3 -m demucs.separate --dl -n demucs PATH_TO_AUDIO_FILE_1 [PATH_TO_AUDIO_FILE_2 ...] # for Demucs -python3 -m demucs.separate --dl -n demucs --mp3 PATH_TO_AUDIO_FILE_1 # Save as MP3, requires lame installed python3 -m demucs.separate --dl -n demucs -Q PATH_TO_AUDIO_FILE_1 # Use quantized models (smaller download, slightly worse quality) python3 -m demucs.separate --dl -n tasnet PATH_TO_AUDIO_FILE_1 ... # for Conv-Tasnet # Demucs with randomized equivariant stabilization (10x slower, suitable for GPU, 0.2 extra SDR) @@ -167,7 +166,7 @@ Any stereo audio file supported by ffmpeg will work. It will be resampled to 44. if necessary. If multiple streams (i.e. a stems file) are present in the audio file, the first one will be used. The output will be a wave file, either in int16 format or float32 (if `--float32` is passed). -If you want to export as MP3 (at 320 kb/s), first run `conda install lame`, and add the `--mp3` flag. +**Only on OSX/Linux for now**: If you want to export as MP3 (at 320 kb/s), first run `conda install lame`, and add the `--mp3` flag. Other pre-trained models can be selected with the `-n` flag and downloaded with the `--dl` flag. The models will be stored in the `models` folder. The list of pre-trained models is: