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Chatterbox TTS vs Real-ESRGAN

Both stand on image upscaling software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Chatterbox TTS

Free plan Open source APILinuxMac+2

Chatterbox offers several open-source model choices, with documented installation paths and device options. Generated files carry a PerTh watermark, and Resemble says its voice generation is no longer a commercial product.

Visit Chatterbox TTS

Real-ESRGAN

Free plan Open source LinuxMacSelf-hosted+2

Real-ESRGAN offers restoration models, portable executables and a Python implementation with broader scaling options. Choose the implementation with its feature limits and runtime requirements in mind.

Visit Real-ESRGAN

The facts

Chatterbox TTSReal-ESRGAN
Free planYesYes
Open sourceYesYes
Runs onAPI, Linux, Mac, Self-hosted, WindowsLinux, Mac, Self-hosted, Web, Windows
Lowest paid planFree or on requestNot published
Plans published2None
MakerChatterbox TTSNot published
Websitegithub.comgithub.com
On image upscaling software#2 of 99#1 of 99

Chatterbox TTS: what it does well

  • MIT-licensed models are free for research and development
  • Multilingual model lists 23 supported languages
  • Turbo accepts tags for vocal reactions
  • Voice cloning and WAV export are supported
  • CUDA, CPU, and MPS device options are listed

What to know first

  • Generated audio includes a PerTh watermark
  • Resemble no longer offers voice generation commercially
  • The README describes development with Python 3.11 on Debian 11

Real-ESRGAN: what it does well

  • Models cover general images, anime images and animation video.
  • Portable inference offers 2×, 3× and 4× scaling.
  • Supports alpha-channel, grayscale and 16-bit images.
  • Portable builds include binaries and models.
  • Training code supports fine-tuning on user or paired data.

What to know first

  • Portable builds omit some Python inference features.
  • Python implementation requires Python 3.7 or newer.
  • Python implementation requires PyTorch 1.7 or newer.

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