coqui

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@drewthomasson949 22 күн бұрын

Created a fixed version of the colab, because recent google colab updates have made this one run into issues, This one downgrades stuff adn i can verify that it works at this moment colab.research.google.com/drive/1sqQqzupo2pdjgggkrbM60sU6sBFYo3su?usp=sharing

@exelyugure 10 күн бұрын

great stuff man

@professourcecode 6 күн бұрын

Thank's but I think it doesn't work anymore

@mmm-c9p 4 күн бұрын

this is also not working

@mohammed6560 2 ай бұрын

The data processing was interrupted due an error !! Please check the console to verify the full error message! Error summary: Traceback (most recent call last): File "/content/TTS/TTS/demos/xtts_ft_demo/xtts_demo.py", line 215, in preprocess_dataset train_meta, eval_meta, audio_total_size = format_audio_list(audio_path, target_language=language, out_path=out_path, gradio_progress=progress) File "/content/TTS/TTS/demos/xtts_ft_demo/utils/formatter.py", line 75, in format_audio_list segments = list(segments) File "/usr/local/lib/python3.10/dist-packages/faster_whisper/transcribe.py", line 426, in generate_segments encoder_output = self.encode(segment) File "/usr/local/lib/python3.10/dist-packages/faster_whisper/transcribe.py", line 610, in encode return self.model.encode(features, to_cpu=to_cpu) RuntimeError: Library libcublas.so.11 is not found or cannot be loaded

@kingroy8800 2 ай бұрын

Not working sir make a new tutorial

@hornachos 3 ай бұрын

you are a good girl, thanks coqui

@Pastafariste 3 ай бұрын

Now I have a new error during the processing of the dataset: The data processing was interrupted due an error !! Please check the console to verify the full error message! Error summary: Traceback (most recent call last): File "/content/TTS/TTS/demos/xtts_ft_demo/xtts_demo.py", line 215, in preprocess_dataset train_meta, eval_meta, audio_total_size = format_audio_list(audio_path, target_language=language, out_path=out_path, gradio_progress=progress) File "/content/TTS/TTS/demos/xtts_ft_demo/utils/formatter.py", line 75, in format_audio_list segments = list(segments) File "/usr/local/lib/python3.10/dist-packages/faster_whisper/transcribe.py", line 426, in generate_segments encoder_output = self.encode(segment) File "/usr/local/lib/python3.10/dist-packages/faster_whisper/transcribe.py", line 610, in encode return self.model.encode(features, to_cpu=to_cpu) RuntimeError: Library libcublas.so.11 is not found or cannot be loaded

@Pastafariste 3 ай бұрын

The second celle does not work for me: Traceback (most recent call last): File "/content/TTS/TTS/demos/xtts_ft_demo/xtts_demo.py", line 15, in <module> from TTS.demos.xtts_ft_demo.utils.gpt_train import train_gpt File "/content/TTS/TTS/demos/xtts_ft_demo/utils/gpt_train.py", line 8, in <module> from TTS.tts.layers.xtts.trainer.gpt_trainer import GPTArgs, GPTTrainer, GPTTrainerConfig, XttsAudioConfig File "/content/TTS/TTS/tts/layers/xtts/trainer/gpt_trainer.py", line 13, in <module> from TTS.tts.configs.xtts_config import XttsConfig File "/content/TTS/TTS/tts/configs/xtts_config.py", line 5, in <module> from TTS.tts.models.xtts import XttsArgs, XttsAudioConfig File "/content/TTS/TTS/tts/models/xtts.py", line 10, in <module> from TTS.tts.layers.xtts.gpt import GPT File "/content/TTS/TTS/tts/layers/xtts/gpt.py", line 10, in <module> from transformers import GPT2Config File "/usr/local/lib/python3.10/dist-packages/transformers/__init__.py", line 26, in <module> from . import dependency_versions_check File "/usr/local/lib/python3.10/dist-packages/transformers/dependency_versions_check.py", line 57, in <module> require_version_core(deps[pkg]) File "/usr/local/lib/python3.10/dist-packages/transformers/utils/versions.py", line 117, in require_version_core return require_version(requirement, hint) File "/usr/local/lib/python3.10/dist-packages/transformers/utils/versions.py", line 111, in require_version _compare_versions(op, got_ver, want_ver, requirement, pkg, hint) File "/usr/local/lib/python3.10/dist-packages/transformers/utils/versions.py", line 44, in _compare_versions raise ImportError( ImportError: tokenizers>=0.19,<0.20 is required for a normal functioning of this module, but found tokenizers==0.14.1. Try: `pip install transformers -U` or `pip install -e '.[dev]'` if you're working with git main

@922parchive3 3 ай бұрын

Note: for anyone still trying this and getting "RuntimeError: Library libcublas.so.11 is not found or cannot be loaded", add an extra code cell between installs and before running the webui itself and fill it with this line: "!apt install libcublas11"

@alexpolidini2327 4 ай бұрын

@corpse2222 4 ай бұрын

Not sure where or how to properly submit a ticket for the colab creators, but, the colab has been broken for weeks now. I check every couple days and it's only getting worse, stopping with errors sooner and sooner in the process.

@drewthomasson949 22 күн бұрын

I’m currently working on a fixed colab version, I’ll give you a heads up if I get it working Seems that we need to force downgrade all the packages that were changed in recent google colab updates

@drewthomasson949 18 күн бұрын

Fixed colab.research.google.com/drive/1sqQqzupo2pdjgggkrbM60sU6sBFYo3su?usp=sharing

@corpse2222 18 күн бұрын

@@drewthomasson949 Sweet! Glad to hear it. And, thanks in advance for all the hard work! :)

@drewthomasson949 18 күн бұрын

Fixed colab.research.google.com/drive/1sqQqzupo2pdjgggkrbM60sU6sBFYo3su?usp=sharing

@StEvUgnIn 4 ай бұрын

Why do we need to use gradio for fine-tuning? It seems to be a waste of resources. Autotrain-advanced has a notebook using markdown. It works great.

@pylotlight 4 ай бұрын

Got kicked out by google due to free tier limits..

@user-nb9zd2ft7m 5 ай бұрын

I fine tuned the model and saved it in my device . but in every time I want to use the model I should provide the speaker_wav which is from data used for fine tuning and this process(analyses the record) take a long time. so, how can I use the model with my own speaker id to avoid providing it the speaker wav ???

@aurelianobuendia24 5 ай бұрын

it would be amazing to know how to load the model in a local enviroment now that i´ve train it

@sayedyasser2 5 ай бұрын

any idea on this? Ive got the fine tuned model and the json files, where do I load it for future use?

@torusx8564 4 ай бұрын

Download the model. You can transfer into your google drive lol. If you could not this video would have 0 sense@@sayedyasser2

@aigaming6310 5 ай бұрын

Great notebook & video ! Unfortunate, it seems notebook gradio not support Thai yet. Could you please also guide me how to do it in another language ?

@agtcbio9738 6 ай бұрын

FIX your EyES

@theentirecircus6623 6 ай бұрын

Great video, once saved the model, can we make inference locally using the tts module?

@handcraft.corner 6 ай бұрын

Is this Fine Tuning for XTTS v1 or v2?

@jakobejensen6765 6 ай бұрын

This might sound like a dumb question, but how would you load the fine tuned model in other python programs. I know we get a config.json, vocab.json and a modal.pth files after the fine tuning process, but would we use the TTS.api?

@starbuck1002 6 ай бұрын

Shoutout Two Minute Papers i guess :D

@yklandares 6 ай бұрын

)))

@yklandares 6 ай бұрын

Guys, I repeated your lesson, but in the files of all CMS models wherever I see, there is an index file / how to create it or is it not needed???))))

@torusx8564 4 ай бұрын

? wdym

@filip1998220 7 ай бұрын

Is there an example of a narration script that produces the best cloning results? Perhaps one that includes all the phonemes?

@GS195 7 ай бұрын

I want Prompt To Voice please. Do you know how hard it is to find a voice according to my specifications?

@xiunianwang 7 ай бұрын

when I ran the cell 1,I got this error message Building wheel for docopt (setup.py) ... done ERROR: pip's legacy dependency resolver does not consider dependency conflicts when selecting packages. This behaviour is the source of the following dependency conflicts. lida 0.0.10 requires fastapi, which is not installed. lida 0.0.10 requires kaleido, which is not installed. lida 0.0.10 requires python-multipart, which is not installed. lida 0.0.10 requires uvicorn, which is not installed. librosa 0.10.1 requires numpy!=1.22.0,!=1.22.1,!=1.22.2,>=1.20.3, but you'll have numpy 1.22.0 which is incompatible. plotnine 0.12.4 requires numpy>=1.23.0, but you'll have numpy 1.22.0 which is incompatible. pywavelets 1.5.0 requires numpy<2.0,>=1.22.4, but you'll have numpy 1.22.0 which is incompatible. tensorflow 2.15.0 requires numpy<2.0.0,>=1.23.5, but you'll have numpy 1.22.0 which is incompatible. gruut 2.2.3 requires networkx<3.0.0,>=2.5.0, but you'll have networkx 3.2.1 which is incompatible.

@user-wr2cd1wy3b 7 ай бұрын

Also, it doesn't seem to run locally after downloading the model.pth, vocab.json and config.json Do you need to download the whisper model for it to work locally or is that just for training? Edit: No the whisper model didn't change it, I was desperate, figured maybe it needed to check you had requirements for training in order to inferencing or something, that that didn't do it. Removing the quotation makes from the paths made it look like it was loading for a moment, but then after 4 seconds it just says "error." When loading the finetuned model.

@joeyhandles 7 ай бұрын

prob just drop those files over the xtts model you have installed locally.

@YevgeniyChannel 7 ай бұрын

I need help please

@torusx8564 4 ай бұрын

lol on what

@YevgeniyChannel 4 ай бұрын

To make effects and AI voices @@torusx8564

@HyperUpscale 7 ай бұрын

I love the Coqui performance, results and ease of use, but Is it possible to be even easier? Like 1 file for input file for training or microphone input, button 2 for training, and 3 type and speak. I am not sure why in year 2024 we still need to copy and paste text ...

@james-hunter-carter 7 ай бұрын

The thing you are looking at is not meant for end-users, it's for developers.

@BlenderBeanie 7 ай бұрын

This is currently the peak of technology. The top of tech available to the public. It's the very first iteration of the ui too. So in the future it might get easier, the more people want to use it. Like automatic1111s ui used to be barebones and hard to use. But now it's become a lot more user friendly. Just a few months ago all this was pure command line

@HyperUpscale 7 ай бұрын

Maybe you just found out about it😄 People are already making money from the same peak technology. I paid months ago for this type of peak technology and moths in the age of AI means long time ago :)

@BlenderBeanie 7 ай бұрын

@@HyperUpscale Perhaps I should have clarified myself more. I meant the peak open source versions, that are accessable for everyone for free. If you take the older models of coqui for example, just a few months ago it would have taken you many hours to train a proper model that works well on any ways. A year ago even just a basic voice was considered a big step towards open source AI technology. I am well aware of AI-Voices being used for many many years now, however, technology of this caliber were not yet accessable to the everyday user for free, only through paid alternatives.

@HyperUpscale 7 ай бұрын

👍@@BlenderBeanie

@michal5869 8 ай бұрын

is there are any options for fine-tuning much longer eg: a few hours for better results?

@maker_pt 8 ай бұрын

It seems to work really nicely. But how can I run the model in coqui? E.g. using the python api or the tts server?

@YevgeniyChannel 7 ай бұрын

Me too.

@danemmer9686 6 ай бұрын

for api, replace the files in your computer with the files you've downloaded@@YevgeniyChannel

@ameerazam3269 8 ай бұрын

amazing @coqui

@captainlavenderVHS 8 ай бұрын

Very very cool!!!! Doesn't work when dataset language is set to ja on 1st tab though - doesn't seem to be able to populate the metadata_eval.csv

@Gobolinn 8 ай бұрын

encountered the same issue looks like ja isnt supported yet

@Otome_chan311 6 ай бұрын

@@Gobolinn disappointing. i've been looking for a good ja->en voice clone tts. best I've found so far is moegoe which ends up being a bit weird sounding with the pacing when doing inference in english (but the sound of the voice is spot on). Every other voice clone thing I've tried doesn't seem to match the voice at all. I was hoping this would work but it seems not?

@user-ng4fk5hd6m 8 ай бұрын

I gave up on it, i tried to train it on a 2:30 duration audio that was cleaned properly and it just was still training after 20 minutes on the default settings

@erogol 8 ай бұрын

fine-tuning takes time. You need to wait for a bit.

@torusx8564 4 ай бұрын

depends it takes around 5 min for with 10min audio for fine tuning. Just make sure you use T4 GPU@@erogol

@pylotlight 4 ай бұрын

@@torusx8564 got kicked out by google due to some error about free limits sadly.