diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md
new file mode 100644
index 0000000..dd84ea7
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug_report.md
@@ -0,0 +1,38 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Describe the bug**
+A clear and concise description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Go to '...'
+2. Click on '....'
+3. Scroll down to '....'
+4. See error
+
+**Expected behavior**
+A clear and concise description of what you expected to happen.
+
+**Screenshots**
+If applicable, add screenshots to help explain your problem.
+
+**Desktop (please complete the following information):**
+ - OS: [e.g. iOS]
+ - Browser [e.g. chrome, safari]
+ - Version [e.g. 22]
+
+**Smartphone (please complete the following information):**
+ - Device: [e.g. iPhone6]
+ - OS: [e.g. iOS8.1]
+ - Browser [e.g. stock browser, safari]
+ - Version [e.g. 22]
+
+**Additional context**
+Add any other context about the problem here.
diff --git a/.github/ISSUE_TEMPLATE/enhancement-request.md b/.github/ISSUE_TEMPLATE/enhancement-request.md
new file mode 100644
index 0000000..5927acc
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/enhancement-request.md
@@ -0,0 +1,20 @@
+---
+name: Enhancement Request
+about: Suggest a way to improve the application
+title: "[ENHANCEMENT]"
+labels: 'Type: Enhancement'
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.
diff --git a/README.md b/README.md
index b965734..2893028 100644
--- a/README.md
+++ b/README.md
@@ -1,185 +1,185 @@
-# Ultimate Vocal Remover GUI v4.0.0
-
-
-[](https://github.com/anjok07/ultimatevocalremovergui/releases/latest)
-[](https://github.com/anjok07/ultimatevocalremovergui/releases)
-
-## About
-
-This application is a GUI version of the vocal remover AI created and posted by GitHub user [tsurumeso](https://github.com/tsurumeso). You can find tsurumeso's original command line version [here](https://github.com/tsurumeso/vocal-remover).
-
-- **Special Thanks**
- - [tsurumeso](https://github.com/tsurumeso) - The engineer who authored the AI code. Thank you for the hard work and dedication you put into the AI application this GUI is built around!
- - [DilanBoskan](https://github.com/DilanBoskan) - The main GUI code contributor. Thank you for helping bring this GUI to life! Your hard work and continued support is greatly appreciated.
-
-## Installation
-
-The application was made with Tkinter for cross-platform compatibility, so it should work with Windows, Mac, and Linux systems. However, this application has only been tested on Windows 10 & Linux Ubuntu.
-
-### Install Required Applications & Packages
-
-1. Download & install Python 3.7 [here](https://www.python.org/ftp/python/3.7.0/python-3.7.0-amd64.exe) (Windows link)
- - **Note:** Ensure the *"Add Python 3.7 to PATH"* box is checked
-2. Once Python has installed, download **Ultimate Vocal Remover GUI Version 4.0.0** [here](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v4.0.0/UVR-V4GUI.zip)
-3. Place the UVR-V4GUI folder contained within the *.zip* file where ever you wish.
- - Your documents folder or home directory is recommended for easy access.
-4. From the UVR-V4GUI directory, open the Windows Command Prompt and run the following installs -
-
-```
-pip install --no-cache-dir -r requirements.txt
-pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
-```
-
-### FFmpeg
-
-FFmpeg must be installed and configured in order for the application to be able to process any track that isn't a *.wav* file. Instructions for installing FFmpeg can be found on YouTube, WikiHow, Reddit, GitHub, and many other sources around the web.
-
-- **Note:** If you are experiencing any errors when attempting to process any media files that are not in the *.wav* format, please ensure FFmpeg is installed & configured correctly.
-
-### Running the Vocal Remover GUI & Models
-
-- Open the file labeled *'VocalRemover.py'*.
- - It's recommended that you create a shortcut for the file labeled *'VocalRemover.py'* to your desktop for easy access.
- - **Note:** If you are unable to open the *'VocalRemover.py'* file, please go to the [**troubleshooting**](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#troubleshooting) section below.
-- **Note:** All output audio files will be in the *'.wav'* format.
-
-## Option Guide
-
-### Choose AI Engine:
-
-- This option allows you to toggle between tsurumeso's v2 & v4 AI engines.
- - **Note:** Each engine comes with it's own set of models.
- - **Note:** The TTA option and the ability to set the N_FFT value is limited to the v4 engine only.
-
-### Model Selections:
-
-The v2 & v4 AI engines use different sets of models. When selected, the models available for v2 or v4 will automatically populate within the model selection dropdowns.
-
-- **Choose Main Model** - Here is where you choose the main model to perform a deep vocal removal.
- - Each of the models provided were trained on different parameters, though they can convert tracks of all genres.
- - Each model differs in the way they process given tracks.
- - The [*'Model Test Mode'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option makes it easier for the user to test different models on given tracks.
-- **Choose Stacked Model** - These models are meant to clean up vocal artifacts from instrumental outputs.
- - The stacked models provided are only meant to process instrumental outputs created by a main model.
- - Selecting the [*'Stack Passes'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option will enable you to select a stacked model to run with a main model.
- - If you wish to only run a stacked model on a track, make sure the [*'Stack Conversion Only'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option is checked.
- - The wide range of main model/stacked model combinations gives the user more flexibility in discovering what model blend works best for the track(s) they are proessing.
- - To reiterate, the [*'Model Test Mode'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option streamlines the process of testing different main model/stacked model combinations on a given track. More information on this option can be found in the next section.
-
-### Checkboxes
-- **GPU Conversion** - Selecting this option ensures the GPU is used to process conversions.
- - **Note:** This option will not work if you don't have a Cuda compatible GPU.
- - Nividia GPU's are most compatible with Cuda.
- - **Note:** CPU conversions are much slower compared to those processed through the GPU.
-- **Post-process** - This option can potentially identify leftover instrumental artifacts within the vocal outputs. This option may improve the separation on *some* songs.
- - **Note:** Having this option selected can potentially have an adverse effect on the conversion process, depending on the track. Because of this, it's only recommended as a last resort.
-- **TTA** - This option performs Test-Time-Augmentation to improve the separation quality.
- - **Note:** Having this selected will increase the time it takes to complete a conversion.
- - **Note:** This option is ***not*** compatible with the *v2* AI engine.
-- **Output Image** - Selecting this option will include the spectrograms in *.jpg* format for the instrumental & vocal audio outputs.
-- **Stack Passes** - This option activates the stacked model conversion process and allows the user to set the number of times a track runs through a stacked model.
- - **Note:** Unless you have the *'Save All Stacked Outputs'* option selected, the following outputs will be saved -
- - Instrumental generated after the last stack pass &
- - The vocal track generated by the main model
- - **Note:** The best range is 3-7 passes. 8 or more passes can result in degraded sound quality for the track.
-- **Stack Conversion Only** - Selecting this option allows the user to bypass the main model and run a track through a stacked model only.
-- **Save All Stacked Outputs** - Having this option selected will auto-generate a new folder named after the track being processed to your *'Save to'* path. The new folder will contain all of the outputs that were generated after each stack pass. The amount of audio outputs will depend on the number of stack passes chosen.
- - **Note:** Each output audio file will be appended with the number of passes it has had.
- - **Example:** If 5 stack passes are chosen, the application will provide you with all 5 pairs of audio outputs generated after each pass, if this option is enabled.
- - This option can be very useful in determining the optimal number of passes needed to clean a track.
- - The *'stacked vocal'* tracks will contain the audio of the vocal artifacts that were removed from the instrumental.
- - These files can be used to verify artifact removal.
-- **Model Test Mode** - This option makes it easier for users to test the results of different models, and model combinations, by eliminating the hassel of having to manually change the filenames and/or create new folders when processing the same track through multiple models. This option structures the model testing process.
- - When *'Model Test Mode'* is selected, the application will auto-generate a new folder in the *'Save to'* path you have chosen.
- - The new auto-generated folder will be named after the model(s) selected.
- - The output audio files will be saved to the auto-generated directory.
- - The filenames for the instrumental & vocal outputs will have the selected model(s) name(s) appended to them.
-
-### Parameter Values
-
-All models released here will have the values they were trained with appended to the end of their filenames like so, **'MGM-HIGHEND_sr44100_hl512_w512_nf2048.pth'**. The *'_sr44100_hl512_w512_nf2048'* portion automatically sets the *SR*, *HOP LENGNTH*, *WINDOW SIZE*, & *N_FFT* values within the application. If there are no values appended to the end of a selected model filename, the *SR*, *HOP LENGNTH*, *WINDOW SIZE*, & *N_FFT* fields will be editable and auto-populate with default values.
-
-- **Default Values:**
- - **SR** - 44100
- - **HOP LENGTH** - 1024
- - **WINDOW SIZE** - 512
- - **N_FFT** - 2048
-
-### Other Buttons:
-
-- **Add New Model** - This button will automatically open the models folder.
- - **Note:** If you are adding a new model, make sure to add it accordingly based on the AI engine it was trained on.
- - **Example:** If you wish to add a model trained on the v4 engine, add it to the correct folder located in the 'models/v4/' directory.
- - **Note:** The application will automatically detect any models added the correct directories without needing a restart.
-- **Restart Button** - If the application hangs for any reason, you can hit the circular arrow button immediately to the right of the *'Start Conversion'* button.
-
-## Models Included
-
-All of the models included in the release were trained on large datasets containing diverse sets of music genres.
-
-**PLEASE NOTE:** Do not change the name of the models provided! The required parameters are specified and appended to the end of the filenames.
-
-Here's a list of the models included within the package -
-
-- **v4 AI Engine**
- - **Main Models**
- - **MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth** - This is the main model that does an excellent job removing vocals from most tracks.
- - **MGM_LOWEND_A_v4_sr32000_hl512_w512_nf2048.pth** - This model focuses a bit more on removing vocals from lower frequencies.
- - **MGM_LOWEND_B_v4_sr33075_hl384_w512_nf2048.pth** - This is also a model that focuses on lower end frequencies, but trained with different parameters.
- - **MGM_HIGHEND_v4_sr44100_hl1024_nf2048.pth** - This model slightly focuses a bit more on higher end frequencies.
- - **MODEL_BVKARAOKE_by_aufr33_v4_sr33075_hl384_w512_nf1536.pth** - This is a beta model that removes main vocals while leaving background vocals intact.
- - **Stacked Models**
- - **StackedMGM_MM_v4_sr44100_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth'*. However, any combination may yield the desired results.
- - **StackedMGM_MLA_v4_sr32000_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth'*. However, any combination may yield a desired results.
- - **StackedMGM_LL_v4_sr32000_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_LOWEND_A_v4_sr32000_hl512_w512_nf2048.pth'*. However, any combination may yield a desired results.
-
-- **v2 AI Engine**
- - **Main Models**
- - **Multi_Genre_Model_v2_sr44100_hl1024_w512.pth** - This model yields excellent results for most tracks processed through it.
- - **Stacked Models**
- - **StackedRegA_v2_sr44100_hl1024_w512.pth** - This is a standard vocal artifact removal model.
- - **StackedRegB_v2_sr44100_hl1024_w512.pth** - This is a standard vocal artifact removal model.
- - **StackedArg_v2_sr44100_hl1024_w512.pth** - This model removes vocal artifacts a bit more aggressively, but may greatly degrade the audio quality of the output audio.
-
-A special thank you to aufr33 for helping me expand the dataset used to train some of these models and for the helpful training tips.
-
-## Other GUI Notes
-
-- The application will automatically remember your *'save to'* path upon closing and reopening until it's changed.
- - **Note:** The last directory accessed within the application will also be remembered.
-- Multiple conversions are supported.
-- The ability to drag & drop audio files to convert has also been added.
-- Conversion times will greatly depend on your hardware.
- - **Note:** This application will *not* be friendly to older or budget hardware. Please proceed with caution! Pay attention to your PC and make sure it doesn't overheat. ***We are not responsible for any hardware damage.***
-
-## Troubleshooting
-
-### Common Issues
-
-- This application is not compatible with 32-bit versions of Python. Please make sure your version of Python is 64-bit.
-- If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
-
-### Issue Reporting
-
-Please be as detailed as possible when posting a new issue. Make sure to provide any error outputs and/or screenshots/gif's to give us a clearer understanding of the issue you are experiencing.
-
-If the *'VocalRemover.py'* file won't open *under any circumstances* and all other resources have been exhausted, please do the following -
-
-1. Open the cmd prompt from the UVR-V4GUI directory
-2. Run the following command -
-```
-python VocalRemover.py
-```
-3. Copy and paste the error output in the cmd prompt to the issues center on the GitHub repository.
-
-## License
-
-The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE).
-
-## Contributing
-
-- For anyone interested in the ongoing development of **Ultimate Vocal Remover GUI** please send us a pull request and we will review it. This project is 100% open-source and free for anyone to use and/or modify as they wish.
-- Please note that we do not maintain or directly support any of tsurumesos AI application code. We only maintain the development and support for the **Ultimate Vocal Remover GUI**.
-
-## References
-- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf
+# Ultimate Vocal Remover GUI v4.0.0
+
+
+[](https://github.com/anjok07/ultimatevocalremovergui/releases/latest)
+[](https://github.com/anjok07/ultimatevocalremovergui/releases)
+
+## About
+
+This application is a GUI version of the vocal remover AI created and posted by GitHub user [tsurumeso](https://github.com/tsurumeso). You can find tsurumeso's original command line version [here](https://github.com/tsurumeso/vocal-remover).
+
+- **Special Thanks**
+ - [tsurumeso](https://github.com/tsurumeso) - The engineer who authored the AI code. Thank you for the hard work and dedication you put into the AI application this GUI is built around!
+ - [DilanBoskan](https://github.com/DilanBoskan) - The main GUI code contributor. Thank you for helping bring this GUI to life! Your hard work and continued support is greatly appreciated.
+
+## Installation
+
+The application was made with Tkinter for cross-platform compatibility, so it should work with Windows, Mac, and Linux systems. However, this application has only been tested on Windows 10 & Linux Ubuntu.
+
+### Install Required Applications & Packages
+
+1. Download & install Python 3.7 [here](https://www.python.org/ftp/python/3.7.0/python-3.7.0-amd64.exe) (Windows link)
+ - **Note:** Ensure the *"Add Python 3.7 to PATH"* box is checked
+2. Once Python has installed, download **Ultimate Vocal Remover GUI Version 4.0.0** [here](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v4.0.0/UVR-V4GUI.zip)
+3. Place the UVR-V4GUI folder contained within the *.zip* file where ever you wish.
+ - Your documents folder or home directory is recommended for easy access.
+4. From the UVR-V4GUI directory, open the Windows Command Prompt and run the following installs -
+
+```
+pip install --no-cache-dir -r requirements.txt
+pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
+```
+
+### FFmpeg
+
+FFmpeg must be installed and configured in order for the application to be able to process any track that isn't a *.wav* file. Instructions for installing FFmpeg can be found on YouTube, WikiHow, Reddit, GitHub, and many other sources around the web.
+
+- **Note:** If you are experiencing any errors when attempting to process any media files that are not in the *.wav* format, please ensure FFmpeg is installed & configured correctly.
+
+### Running the Vocal Remover GUI & Models
+
+- Open the file labeled *'VocalRemover.py'*.
+ - It's recommended that you create a shortcut for the file labeled *'VocalRemover.py'* to your desktop for easy access.
+ - **Note:** If you are unable to open the *'VocalRemover.py'* file, please go to the [**troubleshooting**](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#troubleshooting) section below.
+- **Note:** All output audio files will be in the *'.wav'* format.
+
+## Option Guide
+
+### Choose AI Engine:
+
+- This option allows you to toggle between tsurumeso's v2 & v4 AI engines.
+ - **Note:** Each engine comes with it's own set of models.
+ - **Note:** The TTA option and the ability to set the N_FFT value is limited to the v4 engine only.
+
+### Model Selections:
+
+The v2 & v4 AI engines use different sets of models. When selected, the models available for v2 or v4 will automatically populate within the model selection dropdowns.
+
+- **Choose Main Model** - Here is where you choose the main model to perform a deep vocal removal.
+ - Each of the models provided were trained on different parameters, though they can convert tracks of all genres.
+ - Each model differs in the way they process given tracks.
+ - The [*'Model Test Mode'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option makes it easier for the user to test different models on given tracks.
+- **Choose Stacked Model** - These models are meant to clean up vocal artifacts from instrumental outputs.
+ - The stacked models provided are only meant to process instrumental outputs created by a main model.
+ - Selecting the [*'Stack Passes'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option will enable you to select a stacked model to run with a main model.
+ - If you wish to only run a stacked model on a track, make sure the [*'Stack Conversion Only'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option is checked.
+ - The wide range of main model/stacked model combinations gives the user more flexibility in discovering what model blend works best for the track(s) they are proessing.
+ - To reiterate, the [*'Model Test Mode'*](https://github.com/Anjok07/ultimatevocalremovergui/tree/beta#checkboxes) option streamlines the process of testing different main model/stacked model combinations on a given track. More information on this option can be found in the next section.
+
+### Checkboxes
+- **GPU Conversion** - Selecting this option ensures the GPU is used to process conversions.
+ - **Note:** This option will not work if you don't have a Cuda compatible GPU.
+ - Nividia GPU's are most compatible with Cuda.
+ - **Note:** CPU conversions are much slower compared to those processed through the GPU.
+- **Post-process** - This option can potentially identify leftover instrumental artifacts within the vocal outputs. This option may improve the separation on *some* songs.
+ - **Note:** Having this option selected can potentially have an adverse effect on the conversion process, depending on the track. Because of this, it's only recommended as a last resort.
+- **TTA** - This option performs Test-Time-Augmentation to improve the separation quality.
+ - **Note:** Having this selected will increase the time it takes to complete a conversion.
+ - **Note:** This option is ***not*** compatible with the *v2* AI engine.
+- **Output Image** - Selecting this option will include the spectrograms in *.jpg* format for the instrumental & vocal audio outputs.
+- **Stack Passes** - This option activates the stacked model conversion process and allows the user to set the number of times a track runs through a stacked model.
+ - **Note:** Unless you have the *'Save All Stacked Outputs'* option selected, the following outputs will be saved -
+ - Instrumental generated after the last stack pass &
+ - The vocal track generated by the main model
+ - **Note:** The best range is 3-7 passes. 8 or more passes can result in degraded sound quality for the track.
+- **Stack Conversion Only** - Selecting this option allows the user to bypass the main model and run a track through a stacked model only.
+- **Save All Stacked Outputs** - Having this option selected will auto-generate a new folder named after the track being processed to your *'Save to'* path. The new folder will contain all of the outputs that were generated after each stack pass. The amount of audio outputs will depend on the number of stack passes chosen.
+ - **Note:** Each output audio file will be appended with the number of passes it has had.
+ - **Example:** If 5 stack passes are chosen, the application will provide you with all 5 pairs of audio outputs generated after each pass, if this option is enabled.
+ - This option can be very useful in determining the optimal number of passes needed to clean a track.
+ - The *'stacked vocal'* tracks will contain the audio of the vocal artifacts that were removed from the instrumental.
+ - These files can be used to verify artifact removal.
+- **Model Test Mode** - This option makes it easier for users to test the results of different models, and model combinations, by eliminating the hassel of having to manually change the filenames and/or create new folders when processing the same track through multiple models. This option structures the model testing process.
+ - When *'Model Test Mode'* is selected, the application will auto-generate a new folder in the *'Save to'* path you have chosen.
+ - The new auto-generated folder will be named after the model(s) selected.
+ - The output audio files will be saved to the auto-generated directory.
+ - The filenames for the instrumental & vocal outputs will have the selected model(s) name(s) appended to them.
+
+### Parameter Values
+
+All models released here will have the values they were trained with appended to the end of their filenames like so, **'MGM-HIGHEND_sr44100_hl512_w512_nf2048.pth'**. The *'_sr44100_hl512_w512_nf2048'* portion automatically sets the *SR*, *HOP LENGNTH*, *WINDOW SIZE*, & *N_FFT* values within the application. If there are no values appended to the end of a selected model filename, the *SR*, *HOP LENGNTH*, *WINDOW SIZE*, & *N_FFT* fields will be editable and auto-populate with default values.
+
+- **Default Values:**
+ - **SR** - 44100
+ - **HOP LENGTH** - 1024
+ - **WINDOW SIZE** - 512
+ - **N_FFT** - 2048
+
+### Other Buttons:
+
+- **Add New Model** - This button will automatically open the models folder.
+ - **Note:** If you are adding a new model, make sure to add it accordingly based on the AI engine it was trained on.
+ - **Example:** If you wish to add a model trained on the v4 engine, add it to the correct folder located in the 'models/v4/' directory.
+ - **Note:** The application will automatically detect any models added the correct directories without needing a restart.
+- **Restart Button** - If the application hangs for any reason, you can hit the circular arrow button immediately to the right of the *'Start Conversion'* button.
+
+## Models Included
+
+All of the models included in the release were trained on large datasets containing diverse sets of music genres.
+
+**PLEASE NOTE:** Do not change the name of the models provided! The required parameters are specified and appended to the end of the filenames.
+
+Here's a list of the models included within the package -
+
+- **v4 AI Engine**
+ - **Main Models**
+ - **MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth** - This is the main model that does an excellent job removing vocals from most tracks.
+ - **MGM_LOWEND_A_v4_sr32000_hl512_w512_nf2048.pth** - This model focuses a bit more on removing vocals from lower frequencies.
+ - **MGM_LOWEND_B_v4_sr33075_hl384_w512_nf2048.pth** - This is also a model that focuses on lower end frequencies, but trained with different parameters.
+ - **MGM_HIGHEND_v4_sr44100_hl1024_nf2048.pth** - This model slightly focuses a bit more on higher end frequencies.
+ - **MODEL_BVKARAOKE_by_aufr33_v4_sr33075_hl384_w512_nf1536.pth** - This is a beta model that removes main vocals while leaving background vocals intact.
+ - **Stacked Models**
+ - **StackedMGM_MM_v4_sr44100_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth'*. However, any combination may yield the desired results.
+ - **StackedMGM_MLA_v4_sr32000_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_MAIN_v4_sr44100_hl512_w512_nf2048.pth'*. However, any combination may yield a desired results.
+ - **StackedMGM_LL_v4_sr32000_hl512_w512_nf2048.pth** - This is a strong vocal artifact removal model. This model was made to run with *'MGM_LOWEND_A_v4_sr32000_hl512_w512_nf2048.pth'*. However, any combination may yield a desired results.
+
+- **v2 AI Engine**
+ - **Main Models**
+ - **Multi_Genre_Model_v2_sr44100_hl1024_w512.pth** - This model yields excellent results for most tracks processed through it.
+ - **Stacked Models**
+ - **StackedRegA_v2_sr44100_hl1024_w512.pth** - This is a standard vocal artifact removal model.
+ - **StackedRegB_v2_sr44100_hl1024_w512.pth** - This is a standard vocal artifact removal model.
+ - **StackedArg_v2_sr44100_hl1024_w512.pth** - This model removes vocal artifacts a bit more aggressively, but may greatly degrade the audio quality of the output audio.
+
+A special thank you to aufr33 for helping me expand the dataset used to train some of these models and for the helpful training tips.
+
+## Other GUI Notes
+
+- The application will automatically remember your *'save to'* path upon closing and reopening until it's changed.
+ - **Note:** The last directory accessed within the application will also be remembered.
+- Multiple conversions are supported.
+- The ability to drag & drop audio files to convert has also been added.
+- Conversion times will greatly depend on your hardware.
+ - **Note:** This application will *not* be friendly to older or budget hardware. Please proceed with caution! Pay attention to your PC and make sure it doesn't overheat. ***We are not responsible for any hardware damage.***
+
+## Troubleshooting
+
+### Common Issues
+
+- This application is not compatible with 32-bit versions of Python. Please make sure your version of Python is 64-bit.
+- If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
+
+### Issue Reporting
+
+Please be as detailed as possible when posting a new issue. Make sure to provide any error outputs and/or screenshots/gif's to give us a clearer understanding of the issue you are experiencing.
+
+If the *'VocalRemover.py'* file won't open *under any circumstances* and all other resources have been exhausted, please do the following -
+
+1. Open the cmd prompt from the UVR-V4GUI directory
+2. Run the following command -
+```
+python VocalRemover.py
+```
+3. Copy and paste the error output in the cmd prompt to the issues center on the GitHub repository.
+
+## License
+
+The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE).
+
+## Contributing
+
+- For anyone interested in the ongoing development of **Ultimate Vocal Remover GUI** please send us a pull request and we will review it. This project is 100% open-source and free for anyone to use and/or modify as they wish.
+- Please note that we do not maintain or directly support any of tsurumesos AI application code. We only maintain the development and support for the **Ultimate Vocal Remover GUI**.
+
+## References
+- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf