-
|
I found the script `` in the User's Python Virtual directory. I executed it: The following error message:
Now what should be my next step regarding the module After installing all the dependencies, when I executed:
1.86GB?! Is the program berserk?! Again executed: But 1.86GB is huge! I'm in a dilemma now whether to go ahead. Please advise. |
Beta Was this translation helpful? Give feedback.
Replies: 1 comment 1 reply
-
|
Thank you for sharing the details! The 1.86GB download is for the main Coqui TTS model (XTTS v2.0.2). For a modern TTS model that is supposed to fully infer locally, this is actually considered small. Many AI models require significant storage space to deliver high-quality results. For example, OpenAI's Whisper large-v2 model for ASR also involves downloading several gigabytes. These large sizes are due to the neural network weights and configurations needed for the model to function effectively. High-quality TTS models rely on this data to produce natural, accurate speech synthesis. While 1.86GB may seem substantial, it is standard for AI models in this field. To give you additional context, if you look into capable local language models (LLMs), you'll find that their storage requirements often far exceed TTS or ASR models. Models like GPT-style LLMs frequently require downloads of over 20GB, with some exceeding 100GB just for a single model. This scale is necessary for the level of performance and capability these systems offer. If you proceed with the download, you’ll gain access to a powerful TTS system capable of producing impressive results. Let me know if you need assistance with anything! |
Beta Was this translation helpful? Give feedback.
-
|
Yes Mr. Beigel, I realised it rather late. After I searched for info across websites. So 1.86GB is to be accepted. |
Beta Was this translation helpful? Give feedback.
Thank you for sharing the details! The 1.86GB download is for the main Coqui TTS model (XTTS v2.0.2). For a modern TTS model that is supposed to fully infer locally, this is actually considered small. Many AI models require significant storage space to deliver high-quality results. For example, OpenAI's Whisper large-v2 model for ASR also involves downloading several gigabytes.
These large sizes are due to the neural network weights and configurations needed for the model to function effectively. High-quality TTS models rely on this data to produce natural, accurate speech synthesis. While 1.86GB may seem substantial, it is standard for AI models in this field.
To give you additional cont…