A simple and convenient interface for using of various neural network models. You can create datasets, finetune, evaluate and generate with LLM, StableDiffusion and StableAudio using various hyperparameters. You can also check the wiki, download the LLM, StableDiffusion and StableAudio models, change the application settings inside the interface and check system sensors
The goal of the project - to create the easiest possible application to finetune, evaluate and generate of neural network models
Install
and Update
files1) First install all RequiredDependencies
2) Git clone https://github.com/Dartvauder/NeuroTrainerWebUI.git
to any location
3) Run the Install.bat
and wait for installation
4) After installation, run Start.bat
5) Wait for the application to launch
6) Now you can start generating!
To get update, run Update.bat
To work with the virtual environment through the terminal, run Venv.bat
1) First install all RequiredDependencies
2) Git clone https://github.com/Dartvauder/NeuroTrainerWebUI.git
to any location
3) In the terminal, run the ./Install.sh
and wait for installation of all dependencies
4) After installation, run ./Start.sh
5) Wait for the application to launch
6) Now you can start generating!
To get update, run ./Update.sh
To work with the virtual environment through the terminal, run ./Venv.sh
First of all, I want to thank the developers of PyCharm and GitHub. With the help of their applications, i was able to create and share my code
gradio
- https://github.com/gradio-app/gradiotransformers
- https://github.com/huggingface/transformersdiffusers
- https://github.com/huggingface/diffusersllama.cpp-python
- https://github.com/abetlen/llama-cpp-pythonstable-diffusion-cpp-python
- https://github.com/william-murray1204/stable-diffusion-cpp-pythonstable-audio-tools
- https://github.com/Stability-AI/stable-audio-tools