diff --git a/README.md b/README.md index 9b1d07c..de3005c 100644 --- a/README.md +++ b/README.md @@ -87,27 +87,31 @@ python inference.py -g 0 -m modelparams/2band_32000.json -P models/MGM-v5-2Band- ``` The following examples show how to run the ensemble model scripts - + ``` -python 4Band_ens_inference.py -g 0 -i "INPUT" -``` -``` -python 12_model_ens_inference.py -g 0 -i "INPUT" +python ensemble_inference.py -g 0 -i "INPUT" ``` Or if you wish to save all individual outputs generated in addition to the final ensembled outputs, please run the following - ``` -python 4Band_ens_inference.py -g 0 -s -i "INPUT" -``` -``` -python 12_model_ens_inference.py -g 0 -s -i "INPUT" +python ensemble_inference.py -g 0 -s -i "INPUT" ``` -- **Please Note:** Do not specify the model parameters or a model for the ensemble inference scripts! Those details are already fixed within the script. All final outputs generated through the ensemble scripts can be found in the "ensembled" folder. +You can also specify the models you wish to ensemble. For the ensemble_inference script specifically, do not input the ".pth" extension within the command, only the name. Here is an example - + +``` +python ensemble_inference.py -g 0 -P "MODELNAME1" "MODELNAME2" "MODELNAME3" -i "INPUT" +``` + +- **Please Note the Following:** + - Do not specify the model parameters or architectures for the ensemble inference script. Those details are already fixed. + - When ensembling models with low and high bandwidth conversions, '--bypass' is highly recommended. + - The ensembled outputs generated through the ensemble scripts can be found in the "ensembled" folder. ### Ensembler -The ensembler has the ability to take 2 or more instrumental or vocal outputs generated by different models and combine the best results from all of them! Here is how to use it manually - +The stand alone ensembler has the ability to take 2 or more instrumental or vocal outputs generated by different models and combine the best results from all of them! Here is how to use it manually - - For instrumental outputs, run the following command: