File processing time?

[SpinozaWeb]

Thanks for the new docker image. Installed - works) I have a laptop with intel i7-10875h and rtk 2070 max-q.
I converted the text in Russian. But even after 2.5 hours the conversion was not completed.
File size 800 kb
How long does the process take for you?

[DrewThomasson]

For me?

• Keep in mind the only way to get major speed ups is by having a CUDA capable Nvidia graphics card :/

The example book used for these test cases was the first book of guardians of ga'hoole

• which is a 5 hour audiobook

With a 4GB VRAM NVIDA(forgot the name)

• around real time reading speed
• around 5-6 hours

With a 12 gb VRAM Nvidia (3060?)

-A bit faster than real time reading speed
-around 4-3 hours

With only cpu on desktop (i9)?

• around slower than real time reading speed
• around 7-8 hours

With only CPU on laptop?

• holy crap it's so slow
• like 5 days

[shadeau9]

@ROBERT-MCDOWELL I confirmed that the python environment created by the cmd is Python 3.12 and it did generate chapter wav files using my GPU after I installed torch 2.5.1+cu124. I'm having issues merging them into a completed file, but I think that's more related to the book title having a "?" in it. If there's any outputs or things you'd like to see from my environment I'm happy to share.

[ROBERT-MCDOWELL]

having a title with ? char should n't be a problem.
what's the title of the book?

[ROBERT-MCDOWELL]

we really should find a way to help the user to install the right cuda since torch, xtts-v2 and python itself can install different default version which can be wrong.

[shadeau9]

having a title with ? char should n't be a problem. what's the title of the book?

Good to know, thank you! Looking into it further there was also a missing chapter wav file, which may have contributed. Regardless, I'm trying it again with some different parameters to see if it works. I don't want to derail this thread though so I'll try a few things on my end to see if I can figure it out.

Thanks for the quick responses!

[ROBERT-MCDOWELL]

no worries. I suggest to wait for the next git update to make your test. something like dozen of bugs/mistake/typo have been fixed...

[DrewThomasson]

If your really looking for fast on CPU tho, I have a repo that uses piper-tts instead (cause piper is also multi-lingual)

• But it's based on piper-tts (so no voice cloning you can only select from the pre-existing list)

-Unless you train your own model lol

• And it's also Siri quality voices

https://github.com/DrewThomasson/ebook2audiobookpiper-tts

• piper tts audio output file demo ⬇️

mini_story_long.-.Drew-2.mp4

• piper-tts huggingface demo space ⬇️

https://huggingface.co/spaces/drewThomasson/ebook2audiobookpiper-tts