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YStyleTTS2
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
DIF
A DeepFloyd text-to-image model project using a frozen text encoder and cascaded pixel-diffusion modules to generate and upscale images.
Popularity
Repository stars6,3817,785Highest
7-day net stars——
Fork715Highest520
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2024-08-102024-04-14
Maintenance notesNot verifiedNot verified
Repository created2023-06-142023-01-20
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeAI & agentsAI & agents
TypeModels & adaptersModels & adapters
SubcategoryImage modelsImage models
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectStyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language ModelsA DeepFloyd text-to-image model project using a frozen text encoder and cascaded pixel-diffusion modules to generate and upscale images.
Measured at2026-11-03 08:29 UTC2026-11-03 08:28 UTC
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