NeuroSandboxWebUI

Features | Dependencies | SystemRequirements | Install | Wiki | Acknowledgment | Licenses

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Description:

A simple and convenient interface for using various neural network models. You can communicate with LLM using text, voice and image input; use StableDiffusion, Kandinsky, Flux, HunyuanDiT, Lumina-T2X, Kolors, AuraFlow, Würstchen, DeepFloydIF, PixArt, CogView3-Plus and PlaygroundV2.5, to generate images; ModelScope, ZeroScope 2, CogVideoX and Latte to generate videos; StableFast3D, Shap-E, and Zero123Plus to generate 3D objects; StableAudioOpen, AudioCraft and AudioLDM 2 to generate music and audio; CoquiTTS, MMS and SunoBark for text-to-speech; OpenAI-Whisper and MMS for speech-to-text; Wav2Lip for lip-sync; LivePortrait for animate an image; Roop to faceswap; Rembg to remove background; CodeFormer for face restore; PixelOE for image pixelization; DDColor for image colorization; LibreTranslate and SeamlessM4Tv2 for text translation; Demucs and UVR for audio file separation; RVC for voice conversion. You can also view files from the outputs directory in gallery, download the LLM and StableDiffusion models, change the application settings inside the interface and check system sensors

The goal of the project - to create the easiest possible application to use neural network models

Text: 1

Image: 2

Video: 3

3D: 4

Audio: 5

Extras: 6

Interface: 7

Features:

Required Dependencies:

Minimum System Requirements:

How to install:

Windows

1) First install all RequiredDependencies 2) Git clone https://github.com/Dartvauder/NeuroSandboxWebUI.git to any location 3) Run the Install.bat, select your version and wait for installation 4) After installation, run Start.bat and go through the initial setup 5) Wait for the application to launch and follow the link from the terminal 6) Now you can start generating. Enjoy!

Linux & MacOS

1) First install all RequiredDependencies 2) Git clone https://github.com/Dartvauder/NeuroSandboxWebUI.git to any location 3) Run the ./Install.sh, select your version and wait for installation 4) After installation, run ./Start.sh and go through the initial setup 5) Wait for the application to launch and follow the link from the terminal 6) Now you can start generating. Enjoy!

Wiki

Acknowledgment to developers

Many thanks to these projects because thanks to their applications/libraries, i was able to create my application:

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

Third Party Licenses:

Many models have their own license for use. Before using it, I advise you to familiarize yourself with them:

These third-party repository codes are also used in my project:

Donation

If you liked my project and want to donate, here is options to donate. Thank you very much in advance!

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