FLaNK-EveryTransitSystem VS StyleTTS2

Compare FLaNK-EveryTransitSystem vs StyleTTS2 and see what are their differences.

StyleTTS2

StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models (by yl4579)
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FLaNK-EveryTransitSystem StyleTTS2
8 7
3 4,124
- -
6.1 8.6
5 months ago about 1 month ago
Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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FLaNK-EveryTransitSystem

Posts with mentions or reviews of FLaNK-EveryTransitSystem. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-08.

StyleTTS2

Posts with mentions or reviews of StyleTTS2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-11.

What are some alternatives?

When comparing FLaNK-EveryTransitSystem and StyleTTS2 you can also consider the following projects:

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LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

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piper - A fast, local neural text to speech system

ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

screenshot-to-code - Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)

Scada-LTS - Scada-LTS is an Open Source, web-based, multi-platform solution for building your own SCADA (Supervisory Control and Data Acquisition) system.

bark - 🔊 Text-Prompted Generative Audio Model

superset - Apache Superset is a Data Visualization and Data Exploration Platform

flatpak - Linux application sandboxing and distribution framework