ChatTTS vs Canopy Labs

Comparing the features of ChatTTS to Canopy Labs

Feature
ChatTTS
Canopy Labs

Capability Features

Community Support
Continuous Improvement
Controllability and Security
Demo Availability
Detailed Documentation
Dialog Task Optimization
Easy to Use
Emotion Tags
normalslowcryingsleepysighchuckle
Fine-tuning Supported
Full Model Training Hours
100000
Guided Emotion and Intonation
Handles Disfluencies
High-Fidelity Speech Synthesis
Input Streaming for Lower Latency
Llama Architecture
Llama
LLM-based Customizability
Model Tokenizer Type
Non-streaming (CNN-based) tokenizer
Multilingual Support
ChineseEnglish
Open Source
Open Source Model Training Hours
40000
Open Source Release Planned
Orpheus Speech Models
Medium (3B)Small (1B)Tiny (400M)Nano (150M)
Pretrained and Finetuned Models
Pretrained modelsFinetuned models
Realtime Streaming
Sample Finetuning Scripts
Sample Rate for Audio Output
24000
Sliding Window Detokenizer
Streaming Inference Speed
Faster than playback on A100 40GB for 3B model
Text to Speech
Training Data Volume
100k+ hours of speech, billions of text tokens
Voice Customization Options
Zero-Shot Voice Cloning

Integration Features

API Integrations
Baseten 1-Click Deployment
GitHub Repository Access
Google Colab Notebook
Gradio Demo Integration
Hugging Face Model Access
LLama Ecosystem Support
Platform Compatibility
Web applicationsMobile appsDesktop softwareEmbedded systems
Python Package for Streaming
PyTorch Dependency
SDK Programming Language Support
Multiple programming languages

Limitation Features

English Language Only
No API Mentioned
No Explicit Pricing Details
No Mention of File Format Support
Not All Languages Supported
Requires Significant Compute
High computational resources needed
Speech Quality Depends on Input
Varies with text complexity and length

Pricing Features

Free Tier
No Explicit Paid Plans Shown