Uploaded May 2023 | Updated September 2026, 24 minutes ago
Will this be the replacement for So-vits-svc? It runs on weaker pcs we just need good models!! Training tutorial for DDSP-SVC coming soon :)
my socials:
email: nicholasmpetro@gmail.com
instagram: instagram.com/itsp3tro
soundcloud: soundcloud.com/nickp3tro
spotify: open.spotify.com/artist/5Kr7b5v6jHjPEUdjo4VyYK
DDSP Github (Source Zip, PreTrained Models): github.com/yxlllc/DDSP-SVC
Anaconda: anaconda.com/download
Pytorch: pytorch.org
Actual Model (Best (1)): huggingface.co/spaces/tumuyan/ddsp-svc-miki/tree/main/models
hardware requirements:
-Nvidia GPU
-Intel CPU
-Windows o.s.
My original tutorial for running So-Vits-SVC locally: youtube.com/watch?v=4DT92oHJ_p4&t=16s
Training on So-Vits-SVC: youtu.be/MDCXJY2zAmE
Steps:
-Download Anaconda and Install
-Download source files from Github and place the folder on your Main harddrive.
-Open Anaconda Powershell Prompt.
- Use command "cd" to mount to the proper drive location: ie "cd C:/User/DDSP-SVC" will mount to the location "user/DDSP-SVC" on the C Drive
- Create environment and make sure its in Python 3.8
" conda create --name DDSP-SVC python=3.8 "
- Activate environment
"conda activate DDSP-SVC"
- Download Pretrained models from Github and place in proper folders
- Run the command to install Pytorch
" pip3 install torch torchvision torchaudio --index-url download.pytorch.org/whl/cu117 "
- Install dependencies
" pip install -r requirements.txt "
- Start Interface
" python gui.py "
- Download a Vocal Model
- Place the Vocal Models in the same location DDSP points you to when it asks for the models
- Create a Config file by pressing "Save Config File" Then "Read Config File"
- Start conversion, and experiment with different f0-extractors and settings!
Chapters:
00:00 - Intro
00:20 - DDSP-SVC
00:50 - So-Vits-SVC
1:05 - Comparisons
1:20 - Hardware Requirements
2:30 - Download Anaconda
3:00 - Download Github Code
3:35 - Open up Anaconda
3:50 - Mount in the proper directory
4:22 - Create an Environment
4:40 - Activate the Environment
5:00 - Download Pretrained models
5:15 - Place in proper folders
5:30 - Install Pytorch
6:05 - Install Dependencies
6:40 - ChatGPT can help
7:02 - Start Interface
7:30 - Download Vocal Model
8:00 - Place Models in the right spot
8:50 - Create a Config File
9:15 - Settings
9:50 - Experiment One
10:26 - Real Time Inferencing
11:20 - Final Thoughts
12:05 - Outro
Will this be the replacement for So-vits-svc? It runs on weaker pcs we just need good models!! Training tutorial for DDSP-SVC coming soon :)
my socials:
email: nicholasmpetro@gmail.com
instagram: instagram.com/itsp3tro
soundcloud: soundcloud.com/nickp3tro
spotify: open.spotify.com/artist/5Kr7b5v6jHjPEUdjo4VyYK
DDSP Github (Source Zip, PreTrained Models): github.com/yxlllc/DDSP-SVC
Anaconda: anaconda.com/download
Pytorch: pytorch.org
Actual Model (Best (1)): huggingface.co/spaces/tumuyan/ddsp-svc-miki/tree/main/models
hardware requirements:
-Nvidia GPU
-Intel CPU
-Windows o.s.
My original tutorial for running So-Vits-SVC locally: youtube.com/watch?v=4DT92oHJ_p4&t=16s
Training on So-Vits-SVC: youtu.be/MDCXJY2zAmE
Steps:
-Download Anaconda and Install
-Download source files from Github and place the folder on your Main harddrive.
-Open Anaconda Powershell Prompt.
- Use command "cd" to mount to the proper drive location: ie "cd C:/User/DDSP-SVC" will mount to the location "user/DDSP-SVC" on the C Drive
- Create environment and make sure its in Python 3.8
" conda create --name DDSP-SVC python=3.8 "
- Activate environment
"conda activate DDSP-SVC"
- Download Pretrained models from Github and place in proper folders
- Run the command to install Pytorch
" pip3 install torch torchvision torchaudio --index-url download.pytorch.org/whl/cu117 "
- Install dependencies
" pip install -r requirements.txt "
- Start Interface
" python gui.py "
- Download a Vocal Model
- Place the Vocal Models in the same location DDSP points you to when it asks for the models
- Create a Config file by pressing "Save Config File" Then "Read Config File"
- Start conversion, and experiment with different f0-extractors and settings!
Chapters:
00:00 - Intro
00:20 - DDSP-SVC
00:50 - So-Vits-SVC
1:05 - Comparisons
1:20 - Hardware Requirements
2:30 - Download Anaconda
3:00 - Download Github Code
3:35 - Open up Anaconda
3:50 - Mount in the proper directory
4:22 - Create an Environment
4:40 - Activate the Environment
5:00 - Download Pretrained models
5:15 - Place in proper folders
5:30 - Install Pytorch
6:05 - Install Dependencies
6:40 - ChatGPT can help
7:02 - Start Interface
7:30 - Download Vocal Model
8:00 - Place Models in the right spot
8:50 - Create a Config File
9:15 - Settings
9:50 - Experiment One
10:26 - Real Time Inferencing
11:20 - Final Thoughts
12:05 - Outro
