DDSP-SVC: Local Installation Tutorial (Real Time So-Vits-SVC)

Опубликовано: 22 Май 2023
на канале: p3tro
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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: [email protected]
instagram:   / itsp3tro  
soundcloud:   / nickp3tro  
spotify: https://open.spotify.com/artist/5Kr7b...

DDSP Github (Source Zip, PreTrained Models): https://github.com/yxlllc/DDSP-SVC
Anaconda: https://www.anaconda.com/download
Pytorch: https://pytorch.org/

Actual Model (Best (1)): https://huggingface.co/spaces/tumuyan...

hardware requirements:
-Nvidia GPU
-Intel CPU
-Windows o.s.

My original tutorial for running So-Vits-SVC locally:    • So-Vits-SVC A.i. Vocal Tutorial  - Tu...  

Training on So-Vits-SVC:    • So-Vits-SVC: Local Training Tutorial ...  

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 https://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


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