#✨│ai-help
1 messages · Page 130 of 1
That did not work
wait a minute
the error says it cant find the file
js as it did with dotenv
it says so whenever there's 1) path issues 2) naming issues 3) ffmpeg issues
you have ffmpeg added to path?
can you confirm "ffmpeg" working in cmd?
wtf
as I thought
I js looked into the env variables
ye?
I was looking at path and ffmpeg wasnt there
follow this ^
trusted one
though I recall downloading it as one of the first things when I got this laptop a few months ago
dw I know how to do it lol
otherwise I would not be lookin at the env vars
phew, good
also pardon that I " simplify " stuff or so, habit from helping newbies ( which could at one point be reading the chat history. That's less issues for me later on
but ye, removed a bit of dc offset in ur audio and made it proper mono
( rvc / ffmpeg would most likely fuse the channels and that with dc differences could be, yea. better not
dw about that
I have that too
but this was not an ffmpeg error yk
There are files not found in the python libs
so I think imma js remove all of my packages and reinstall your list
like I suggested, I'd purge all python stuff you have
get clean n fresh 3.10.6, my list and ffmpeg added properly
then it has to work 100%
maybe I should prepare venv method too in future hmmm
already busy
I js did pip freeze into a requirements.txt file and then pip uninstall -r reqs.txt
should be done soon enough
installing the reqs now
🗿
brb
alr
ye, check if it works now
nah
but hold on
I forgot to restart after installing ffmpeg lol
The packages being reinstalled didnt work so its either ffmpeg or idk anymore
Ffmpeg is seen as a command now
that's hella sus
Petition to get @graceful obsidian on the AI Hub payroll
lol
weird tho cuz I already had the ffmpeg folder in my C:\ drive, but it got removed from env vars
defi
hold on
Why aint my 4060 showing
huh 🤔
oh no
weird, would detect 1050 or tesla t4 no issues
update from me @graceful obsidian I installed requirements for your fork using miniconda instead of powershell/regular terminal and it seems to be installing everything as if it didn't exist before. I'll keep you posted.
and how come T:\hifi_testing_new-main>py infer-web.py --port 7897 is the command starting it but the site opened on port 8000
8000's the port I use on saturn
so it's kinda hardcoded
but that's not the issue
as for gpu
I just noticed mainline changed the code
Gonna compare the configs ( was doing a fetch a week ago or so
maybe they screwed something up
alr
well it isn't
yk what
imma js try it
Ill put in 0
and try to see what it does
stability, bugs present in mangio, and those ^
also lack of bs auto syncing
maybe its a text error
issues you guys have were never happening
neither on rvc devs serv
when I had my testers
aaaand I use it on my machine / saturn environment as well
so that's hella sus
that won't work
should I use rmvpe or rmvpe_GPU
Ayo? @leaden yacht level 7 !!! 
because 0_gt has them all sliced and processed properly
oh
well, let's try another way to exclude few things
they have other method for processing audio
since I'm having a similar issue should I try this fork?
that's the og rvc
actually
ye, try as well
we'll see if it's machine dependent or some specific cases don't like my fork
but isnt that one outdated aswell?
nope, this is the mainline, it is the og maintained by devs
constantly
recent changes were only minor thingies and some overhauls but still
get the repo tho
not the package
hold on
I actually did try the thing I said
I put in 0 for gpu and got this as output: ['infer/modules/train/extract/extract_f0_print.py', 'T:\hifi_testing_new-main/logs/Gregory-FNaF-SB', '8', 'rmvpe', '64']
infer/modules/train/extract_feature_print.py cpu 1 0 0 T:\hifi_testing_new-main/logs/Gregory-FNaF-SB v2 False
exp_dir: T:\hifi_testing_new-main/logs/Gregory-FNaF-SB
load model(s) from assets/hubert/hubert_base.pt
move model to cpu
all-feature-166
now-166,all-0,0_1.wav,(108, 768)
now-166,all-16,0_118.wav,(149, 768)
now-166,all-32,0_14.wav,(149, 768)
now-166,all-48,0_16.wav,(149, 768)
now-166,all-64,0_180.wav,(99, 768)
now-166,all-80,0_20.wav,(149, 768)
now-166,all-96,0_22.wav,(149, 768)
now-166,all-112,0_28.wav,(149, 768)
now-166,all-128,0_51.wav,(98, 768)
now-166,all-144,0_72.wav,(149, 768)
now-166,all-160,0_91.wav,(149, 768)
all-feature-done
aside that
isn't that how its supposed to be?
because rmvpe vs rmvpe-gpu is using cpu
it will work regardless
and hop is set for cpu rmvpe variant as it's more accurate
imma debug the stuff but first need you guys to test mainline rvc repo
it's the runtime that's coming prepackaged with packaged rvc releases ( which are outdated compared to repo itself
this one isnt even working
ye, you need the runtime
oh its not included?
you unpack the runtime folder to rvc's folder
it is, but in packages which again, are outdated
so I isolated it ( my fork uses that for realtime voice changer, hence why
damn why did they make everything so complicated 💀
wish I knew ngl
but kalo, mangio and rest of the team didn't make it any easier
doing bazzinga mess with their releases
leaving it kinda broken and outdated with few hardcoded quirks
I put the runtime folder (extracted) into the og rvc folder
yes, now it should work
hope so
let's first see if processing works and if gpu's detected
if all turns out that way, might be I'll have to do another huge fork revision
💀 hope not
last one I had 2 or 3 months ago fffff, took me few days, porting certain things into new structures
hope so, I js want this to work lol
btw, as another potential debug thing
where do you store rvc?
could it be disk / paths issues?
and ffmpeg is on
shouldnt be a problem as even mangio had no error's
yup
hmmm
all python dependencies are there too
alr
check processing itself
first
and as for torch
pip install torch torchvision torchaudio
but that later
btw I installed the versions u gave in the reqs.txt
should work regardless
hold on ill use that command rq
wow it didn't have torchvision installed
isn't it supposed to do that automatically?
well
restarting rvc
I've no clue how mangio was working then
I mean I did js flush all of my packages
orrrr, they had quite a bit modified / older detection mechanic
oh, makes sense then
and reinstalled them using your list
torch stuff should always be installed after python tinkering
huh, guess you're bound to use mangio
if even mainline doesn't work
something's up with your machine or os should I say
imma del the og rvc fork as there arent any differences in errors with urs and og rvc
you use win 11 by any chance?
yeah
probably that then
but can't confirm that really, just a speculation
alr
imma restart mangio and hope I dont get any dependencies errors
first check if mangio runs, if issues, use their reclist
then, after confirming it works, Imma have to remove syncing somewhat
well mangio was even using another torch version
and did not require torchvision
Mangio does find my gpu tho
maybe look into the mangio code too
and if u do, make sure u get the right one from their github as there are 2 (one for only conversion and one for also training)
I would
Everything works in mangio
nothing went wrong
I trained js a few hours ago
the model isnt the best but it works so yeah
works now too?
Imma restart the training and let it run for a few more hours
it always did
You said the graph wasn't right in mangio tho
ye, that's the downside
auto syncing
but it's burried so deep in the code
last time I removed it, it took me the most of time
as kalo / others liked to scatter the code
throughout many files
u said it was inaccurate
rather than have it unified
that's still correct
because their math behind it is inaccurate
it can't be calculated 100% accurately
hm
it will log at wrong steps, the tensorboard metrics
any other forks that are better then?
giving you not accurate metrics
that work?
they're built on top of what mainline is
some adopted mangio's feature like I did
some didn't
so if mainline doesn't work for you, quite a high chance they won't either
true but even mangio is, some js changed it
the thing with mangio is
last version was made based on mainline going through transition
and general file structure, script separation / unification process
it's just a code mess inside
@leaden yacht see?
even just the config ( fp16/32, gpu and so on detection )
is very different in structure
which is a huge sus
as in 90% of cases, esp on rvc devs
it's the opposite
mangio causes " no data " issues and such
ffmpeg, gpu
etc
that's why I find it hilarious this time 🗿
I mean I could try applio, is that more accurate than mangio?
it is more so, whether it auto syncs or doesn't
it also causes no errors
in simple words
an epoch as corresponding steps
per each
those are known after having at least one epoch
.pth in weights
mangoo release would auto calculate and sync it
" estimating " the steps
but kalo was a hard shell
not listening to me
when I told him rvc aside of 0_gt splitting
does internal further slicing too
which can't be calculated, at least yet, in my case
no idea what 0_gt is
0_gt is model dir's folder for ground truth samples
sliced and processed .wavs
( obtained from preprocessing step / first step in the ui )
amd so is 16k dir, which are 16khz .wav files
but should I or should I not switch to applio?
I dunno applio well, ain't sure if they adopted the auto sync or not
is autosync better than manual?
no
alr
like explained, it's inaccurate
your epochs could be having 10 steps per each
but auto sync could do it 9 or 11 maybe
or 12
that causes tensorboard files logging wrong metrics
from " nonexistent " points
as in, irrelevant as they don't match epochs
and in such important cases, where one epoch could be 2583steps ( say, idk, 300+ epoch )
it might contain wrong metrics / loss logged or stored
tl;dr, autosync is crap
hey!
could someone send a colab link with the latest rvc update?
and if possible a tutorial of some kind
ty
😭
but if I don't like the model and think I accidentaly DID get the wrong one, I can js go back one save ?
I mean it doesn't have to be so hard
and I can even install ROD to detect overtraining
well, it is not that
imagine you have 500 epochs
mhm
good luck and have fun testing each
" blindly "
as metrics tensor gives are false and inaccurate, not reflecting the actual epoch
btw
but are they that inaccurate that you cant even make up where smth happens?
nahh
what I mean is, it's not the repo either
that is normal for my case
as I have amd
gonna test one thing
imma spoof having nvidia gpu in
and see if it's detected
alr
but at least for me, the model was actually doing pretty good so far and I stopped it too early, so Imma restart mangio
I tested the latest save and it worked pretty well
So I guess it's mangio for me then too. seems like we're having the same exact problem
I mean it was not good, but wasnt done training yet which explains that
just installed og rvc added the runtime folder and nothing
and how tf did my mangio train without ffmpeg tho
Ayo? @leaden yacht level 8 !!! 
I mean I did only install it apparently when I was tryna fix the error with your fork
but how did it js train without ffmpeg
but do you have
funny part was my mainline was working. it had my gpu and everything. but it was taking 7 minutes/epoch
Ayo? @floral token level 5 !!! 
damn
this
this is a bridge
between python and ffmpeg
which is required all the time
for me (mangio) it was going like an epoch if not 2 per minute
dude
code, that is not the problem
the problem was fixed
I do not have this
the whole problem, was that my gpu wasnt shown
which is not related to ffmpeg is it?
I am talking about preprocessing step rn
I had no problems with that
gpu is another thing
I fixed that
nvm I have it I had a typo lol
but I suggest looking into the mangio code, even if its messy it could have smth you could use
alr then, so it was just the ffmpeg installation thing
as for gpu
must be the way it detects em
I think mangio is the only one I have not installed at this point lol
mangio is the 1st one I installed and the one that worked the best
mainline / my fork and others probs too detect it like so
mangio on the other hand
reads torch device under ID 0
you guys have iGPUs ?
what's the ID for your gpu in task manager
0 or 1
Never had any errors with it, except for my previous laptop which was because the mangio code needed to be changed cuz otherwise it wouldnt support GTX 1650
0
I can change it to 1 tho
Idk why but if unused I can eject my gpu which does nothing but change that
well, I have 2 potential ways of solving it
1 thing would be disabling igpu if you have one, just gpu ( bios
other is, I can port the detection from mangio
lol
yeah uh I aint changing my BIOS for this
as I thought.
idk, maybe I will look into it later later or tomorrow
might port it
alr
for now imma train using mangio
which has not let me down yet
I hope it doesnt in the future too lol
exactly
and if it works, don't even touch it
just lame for the log syncing but ig, just have fun testing the ckpts x' )
that can be fun too
in a way
lol
I mean I can make a full cover of like 4 mins in about 10 secs
what if I js take 30 seconds
I mean that will be going fast and I have nothing to do with my time
true
Ayo? @graceful obsidian level 23 !!! 
🗿
havent eaten today
alr, have a good meal then
thx
and gluck with the model
Does anyone know RVC Google Colab Notebook with a multi-inference function? It was removed from EasyGUI...
Dunno if this is restricted or not so
thanks anyway
Ayo? @hushed lion level 1 !!! 
can I ask, why did you want to switch away from mangio if it was working for you? @leaden yacht
confirmed mangio is working. your answer is in their code somewhere @graceful obsidian
Code said that the logging for tensorboard was inaccurate and not right
so
yeah
that
sorry for the late response btw
js got back
I don't think the training went well
all good, did that prevent you from finishing your model or just end result was bad?
true for shorter dataset and higher batch size (less steps per epoch)
do u mean the inaccurate things?
ehhh doesn't seem like that
Cuz I did not notice anything
lots of collapses
use 0.987 smoothing
oh yeah
yeah the logging inaccurate error
yeah increase the smoothing 
I forgot I had to put that on
and that too
or ideally, just send me the tfevents file
this?
need one without smoothing and with disabled " ignore outliers "
now, click the 3rd button
" frame "
from those 3 under the graph
to resize
at what point in training is this tensorboard? I still only am at the actual model training.
How to continue training? beacuse i think i broke it XD
after u start training
that meansss??????
just insert same settings, dont preprocess or feature extract again and it should work
another bat file to open? where do I see that UI @proper shale
Is this the point of overtraining then?
if it's for total G
this was the g/total yeah
@graceful obsidian can u send real quic the TensorBoard venv bat
do u need the d/total too?
show the axis scale, if there are some less than 30-40%
and magnitude decreasing
try out the model later
your set has quite a bit of silence + you could try smaller batch_size
I have no idea whatever magnitude or tendency means ;-;
Oh I need to remove the silent parts too? I thought it only picks up the parts with noise
no it does not work
yeah thats true
it would go down, with a curve ish trending
ya might have messed up on something then
then up and kinda flatlining above the prev avg
so I should remove the silence and then try again?
mainly batch_size and silence
also, those, again, aren't accurate, that's just rough approximation
give me instruction from the base
but am I not supposed to look at it with this on and smoothing 0.987?
its 1 file
off
beacuse i have D and G path saved
and smoothing?
smoothing shouldn't be really used as a " thing for granted "
The guide says it needs to be 0.987
that's for people who can't estimate the trending
I mean I can't
the instructions are literally just... insert same settings (name of model, batch size, etc) dont preprocess/feature extract again, train model
I don't even understand half of the things you were saying about it tbh
it's not hard
take a look
just imagine a line going through those points
kinda an " avg "
mhm
dramatic drops = bad
ohhh
squashing all together and averaging
@proper shale
so smoothing js gets the averages?
think of that line like a magnet
but if you just visualize it yourself vs using smoothing
you can see actual peaks
and dips
isn't that useless? it hides a lot of the important info
familiarize yourself with this
that's just some examples
and each case is different but similarities and patterns, as you go on with training models, start to look familiar
first ill js remove the silences alr?
it's not as straightforward sadly
wdym
I can js cut out the silence using audacity
each sample is a sentence
you wanna minimize the silence-gaps between samples
not the actual words / phonemes
wait
wait if you have replaced the d/g pretrained path thing you shouldn't have done that
so I should have more seperate files instead of one long one?
nono, 1 file is fine
but you gotta remembe that dialogue lines
are just fused many samples ( each dialogue part )
into 1
do audio labeling
0_0 wait so how to conitnue training that beacuse someone telled me to do that
whats that
bruhhhh
this is a fused big sample
okay so
ig u gotta type the path of the pretrained g and d files now
Analyze > label audio
i dont remember where they are specifically, but you have to start from the folder name
yeah
@leaden yacht first tell me, what batch size you use
wdym what batch size?
8the batch per gpu?
should be like, pretrained_v2/something something
8
depending on the set duration
smaller batch size
causes noiser graphs
( lower one )
higher batch sizes, cause more " consistent " graphs
I set it to 8 when I given the advice that I should
Did rvc 3.0 ever come out?
but it is not as simple as " more consistent = better "
wait what
and neither is any batch_size " the best "
each dataset and voice needs own settings
no
one model might have smaller set, one bigger
one voice might be more complex in patterns, one not
the thing with batch_size is, more you use, more examples you give of voice samples to AI
and it's just as with people' learning
if you learn too little? you won't learn much
What’s the best ai voice cloning software atm for live voice changing?
if you learn too much? you won't learn much
see, the pretrains are the heckin soul of your model
ya need that shit there, in the path you wrongfully inserted your d/g file
so i just need to put D and G into assets folder in pretrainedv2?
u can try any power of 2 values, i.e. 4, 8, 16
no, you need the actual pretrains
but how do I fix the audio? You said there was too much silence or smth
which are in pretrained v2
for now you can ignore it
For your sub 10 min in duration set
try batch_size 14 or 16
32k
if the graphs are too " flat " or do funky things, attempt 12
8 might be too little
alright ill try
Isn’t that project discontinued?
Ayo? @proven pecan level 3 !!! 
assets/pretrained_v2/f0D32k.pth
assets/pretrained_v2/f0G32k.pth
do I js remove the pth files from my weight folder and start training again with the right batch size?
What was?
but it has enough info and is pretty recent
and what next?
now just out them in their right places @snow rose
I tried that project about eight months ago and it was pretty poor in terms of results. Has it improved much since then do you know?
well, it works okay
I need something that works really good
and what next?
well, try it out
now just train ig
how do i continue training my denji model
@leaden yacht here's kinda a visual
FIGURATIVE
on how increasing / decreasing affects the noisiness
in " distribution "
but isn't it different for each dataset?
^
Correct
But that's so you can better visualize it
In ideal conditions
we wanna strike inbetween
- just stable enough but not too noisy
- one that goes rather stably down ( downward trending
- sometimes doing few trainings, say, at 8, 12, 16 can help you find what is close to your good batch
- from there, you wanna find inbetweens, could be 13, but be 10
and idk if it puts more load onto the gpu, but will my gpu be able to do it with batch size 14 or?
Was rvc 3.0 cancelled? I was waiting for that
ah thx
well, no
MJ
What happened to it?
help me out
i think rvc peeps r still working on it, they've found some limitations probably
It was just about done /ready to release like 8 months ago
^ @leaden yacht and here
alright
something to do with contentvec from what I'm aware
they wanna make it better ig
^
or its just that rvc boss moved on
?
dont know if its any difference but still
vram size?
what do i do next
if you have 12/16 gigs
8gb
just train the model now
if you've already got same settings and all
from the beggining?
In that case, you can try with 16, 14 and 12, see which one works. If all failed, go for 10
it can go up to 8 batch
Alr, should I start with 13?
for instance, 15 gig tesla t4 was able to go comfortably batch_size 16 on 40+ min sets
how it will know that i want to resume denji
I'd try 14 or 16 Martin
because it'll load the d/g files automatically
just do it, itll work
we'll tell by the graphs
alr
or your gpu will refuse to go on with that batch
this good?
unless u screw up
it still runs but will get significant bottleneck
bottleneck?
performance
id just change "saving small finished model to weights folder" to yes
and then u can do it
though not related to the results
ill js try 12 first
i just click train model yes?
yeah
error
it takes around 10 gb
it's dataset dependent
okay, what's it say
10 gb for 10 min set at batch 12 doesn't quite scale like that
tesla t4 15 gig was fine with 16/18 for batch 45 mins + set
talking about vram, but not really related to the results
ye, I talk about it too
"system cant find the specified path"
there's no saying batch_size 12 for 10 min set will take 10 gigs
I have a 4060 8gig with about 9 mins set
it's not linear like that
remove the spaces from "vocal spliter" folder name
and try again

colab T4 only takes 6 gb vram, yet local one takes 7~8 gb on batch 8
you forget about allocations
and the os itself having to reserve some for display
colab doesn't do that
for approx 10 min sets, typically you want above 12 batches
4-8 ranging is rather for smaller or more monotone sets I'd say
you can try
but there's that thing with mangio crepe itself
if you go for that instead or rmvpe ( in case you do, ofc )
I always use rmvpe
a, then no issues
Alrighty
either both or conversion
i cant figure out how to run local on my mac anymore
wait how do I reset tensorboard @graceful obsidian ?
Ayo? @snow rose level 6 !!! 
still
Because I opened the tensor tab but the old graphs are there
did you open it up with a specific dir in location or per-file/path-to-file
use this
put it in any folder which would contain folders, and each ( named after your model for convenience ) has your models' tfevents files
I already have tensorvenv
Ayo? @leaden yacht level 9 !!! 
@proper shale any idea on how to determine batch size on ov2 pretrain roughly?
works like so:
just in case
then whenever you delete the tfevents file / folder ( or add something new )
just refresh the tf page
and you can just deselect older ones to not show up
leaving only the most recent
Typesome
me
Jeśli potrzebujesz asysty, pisz na dm
If you need assistance, write me a dm
where are you from
you guessed it right
but @graceful obsidian , what do I need to do the next time to improve the dataset?
well
these
newest and easiest workflow
my older methods are too complex
and what was wrong with my current one?
well, silence and noise I think
had just a quick look really
But audio processing and such advanced stuff is something I don't teach people anymore, too complex
so I should have less silence?
just truncate
between dialogue lines / sentences, ye ( do not touch gaps between words in sentences or between phonemes )
that helps with collapses
alr imma edit that then
well yea
that's why, yea, I do it actively
as I build my sets
🗿
cause audacity's silence truncating doesn't care if it's between-dialogue gap or between-phoneme gap
sure, there's labels too butttt, I dunno it and haven't used it
labels are pretty good
its the thing i usually use
Thought of that, or whisper ye
but for now, my method works so, but will surely give it a shot eventually
Is that mode collapse?
how does that work?
45k is it collapsing?
It's NOT overtraining If someone's gonna call it that No it's not my dataset is big to overtrain that early
"label sounds" does split into many files like RVC preprocess but without cutting middle of sentences, also it helps reducing collapses
yea I know, I meant that I dunno the ui of it / workflow of it in the program itself
Am well aware it's similar to whisper, just, via vol threshold and gap control
guys i got an error when i wanna download a model
"JSONDecodeError Traceback (most recent call last)
<ipython-input-6-cf2b15191ac5> in <cell line: 31>()
31 if os.path.exists(config_path):
32 # File exists, proceed with creation of creds and client
---> 33 creds = Credentials.from_service_account_file(config_path, scopes=scope)
34 client = gspread.authorize(creds)
35 else:
5 frames
/usr/lib/python3.10/json/decoder.py in raw_decode(self, s, idx)
353 obj, end = self.scan_once(s, idx)
354 except StopIteration as err:
--> 355 raise JSONDecodeError("Expecting value", s, err.value) from None
356 return obj, end
JSONDecodeError: Expecting value: line 1 column 1 (char 0)"
this is said
outdated colab, surely
-colab
- Applio, by IA Hispano Google Colab
- AICoverGen-WebUI, modded by Hina Google Colab
- AICoverGen-NoWebUI [English], by Ardha, fixed by Eddy, Hina and Gdr Google Colab
- AICoverGen-NoWebUI [Spanish], credits to Eddy, Hina and Gdr for translating and fixing Google Colab
- Ilaria RVC, by thestingerx Google Colab
- RVC Disconnected, by Kit Lemonfoot Google Colab
- easyGUI, by rejects Google Colab
- 🆕 UVR5 NO UI for Google Colab, by Eddy Google Colab
- Applio, by IA Hispano Huggingface Spaces
- Ilaria RVC, by thestingerx Hugginface Spaces
- RVC-HFv2, by r3gm Huggingface Spaces
- AICoverGen, by r3gm Huggingface Spaces
- Advanced RVC Inference, by r3gm Huggingface Spaces
- RVC v2 Huggingface version, by Clebersla Huggingface Spaces
so i just use another one?
instead of having silence in between, and problems with that etc, should I js use all voice lines seperately?
all of those files?
ty
Ayo? @lusty spruce level 1 !!! 
yeah idk tbh. it cant seem to find the gt wavs so you either screwed up on the model name or you'll have to restart from the beginning
just test and see, but since we're talking shit below 10 mins 4-8 can do it ig
but it varies
Codename tried to help me with this in dms but my brain cant handle this mess so i will start from beggining i think
just remember next time to change no settings, ig
does anyone know how to get your huggingface model link to work?
Someone explain to me how I make a cover. I used to know but now i forgor
Ayo? @jade shore level 1 !!! 
Cloud (google collab) or local (hosted on your own hardware)?
I don't use it myself, I have used it in the past but don't know about whats changed. What I can give you is the link to the official guide though
no you're not, don't worry
yes plz
how do u make a huggingface link for your model?
https://docs.aihub.wtf/rvc/cloud/ilaria-rvc/
https://docs.aihub.wtf/rvc/cloud/applio-colab/
Personally I recommend one of these 2, as I have used applio before and know it works well, and I have heard that ilaria works really good too from others.
i remember using this: https://colab.research.google.com/drive/1Gj6UTf2gicndUW_tVheVhTXIIYpFTYc7?usp=sharing a while ago but im not sure it will work
If you click on the links you will find the guide, with tutorial and full explanations about what things mean
If you don't understand something js send your problem here, and if you want you can ping me for it
ok thanks so much
I would js use the guide as those are frequently updated
ok
sticking with the guide makes it a lot easier
@leaden yacht, I put in this link, https://huggingface.co/AstralBlade/Model/blob/main/FriskStoryOfUndertale.zip and it said that the download failed! What do i do?
im still trying to figure out how to use huggingface cause i have a model just dont know what to do on huggigface
i made a model on weights.gg
and i just put in google drive
sorry js seeing this now, where did you put it? can you send a screenshot?
yes
Ayo? @jade shore level 2 !!! 
Does it also give an error msg with it?
yes
mine did the same
I entered the link in my browser but it also didnt directly download
hold on imma check smth rq
Could you try this link: https://huggingface.co/AstralBlade/Model/resolve/main/FriskStoryOfUndertale.zip?download=true
ok hold om
At least in browsers it auto downloads then, hope it does the same for collab
IT WORKED!!!
Yooo
Great
So whenever you are having a problem downloading from huggingface, js take the huggingface link, ending in .zip and add "?download=true" to it
Which will make a direct download link
the link you used just sent you to the page of the file, where you can select what to do with it
OH! I get it! thanks!
yw
pth?
nah you don't
you need both the .pth and index file
and put them in the same zip
ok i did
just upload that to huggingface
I don't know about that as I've never used huggingface before myself
I am making an account atm tho
True
but still once you get the hang of it you will probably find it a lot easier
question for the model makers, is the training doing well?
MIT
yep, let it train more
so I js need to wait like a few hours and see if it has gotten a lowest point and starts going up again?
as in it starts overtraining then?
Why i can't do step2
yup, u need to see when it goes to the lowest point and then goes onlyy over that, that is training
btw you can also check https://rentry.org/RVC_making-models
THIS WAS ALL TESTED ON THE Mangio-RVC-Fork WITH THE F-RVC-exp CONTINUATION FORK OF Mangio-RVC-Fork
(From what I know, each fork logs differently for TensorBoard)
Things you may need for this guide:
Audacity
iZotope RX Audio Editor
Adobe Audition
Spek
TL;DR is at the bottom of the page
Mangio logs...
!howtoask
How To Troubleshoot 
- Don't simply mention your issue, like "
my rvc is not working". - Describe the step you are on, what you're trying to do, the RVC you're using, a screenshot, etc.
- The more context, the better.
- Don't be desperate. You can ping a Helper, but if they ignore, they aren't available/don't know the answer.
- It's okay if you're frustrated, but don't take it into this server.
- Don't DM without prior consent.
- Don't ask for every little instruction. Put your own effort & test things by yourself.
- Don't ask to ask.
- Check if your answer is a Google search away/on our guides website.
It isn't
at least not for me
this does work tho
im trying to put it in rvc and it says invalid link
Idk why but the one u gave me is the same as I sent
@fading summit if ur link doesn't work try to copy and paste this one
Yours doesn't work for me either
ur zip has a metatada.json which is not needed
also you need to put the added.index
its not mine
^
whats added index
Ayo? @fading summit level 4 !!! 
idk why, but when I click his link it js doesn't automatically download like it should
do you have that too Nick?
whats added.index?
A file, it should be made when training
i trained it on weights.gg
its like the file that controles the accent, if you dont have it, you can delete the metadata file and zip the model with only the pth, and upload it on google drive or hugging face. Just that without the added.index, it will prolly wont be good quality
wait what? they didnt give you an added.index?
@low shardno
@willow lichen wait what? weights.gg doesnt train added.index ?
Thats what that does? So basically the .pth is the actual voice and the index is the accent?
RVC Guides (How to Make AI Cover)
Translation by country
basically yea
you trained it or you js found it?
damn
weird asf wtf?
lets see what river says, hes dev of weights.gg (dont spam ping him ofc lol), idrk about this
but shouldn't it always give an index?
@leaden yacht you would think so
technically, i honestly never trained on weights.gg, but it uses rvc which it gives you that yea
i waited in a queue of 180 last night
Sorry but i dont really know about this
You NEED an index file to use the model tho right?
could be a bug
it works on google drive when i use it
well, not really, you can use it by just deleting the metadata file and zip the model with only the pth
Wait u can?
its just suggested to have an added.index because it helps with accent
I thought to start conversion you needed both a pth and index
never knew u could js use the pth
While the model is training on my laptop, I can still watch yt or smth right? I mean I have an iGPU
yea, whats ur gpu btw? also if you train on weights, its all online, it doesnt matter your pc specs bc it will use remote pc gpus
Oh nah im training locally
As I showed tensorboard js some time ago
I have AMD Radeon Graphics built in with the CPU, and an RTX 4060 with 8gb vram
but my laptop has a big screen so wanna watch yt while its busy training lol
oh yea my bad got you 2 confused lol
It seems to be still training good so yea u can do other things meanwhile
greattt
its going pretty good rn yeah
at first it was a lot more randomness when I had only 1 file with a lot of silenced parts, but I chose js to use all of the loose voice lines from the game directly
maybe its because i dont have weights premium?
like 160 files or smth, and now its actually going pretty well
no probably not
I mean whats the point in having a free product that only gives half of what you wanted to train
@leaden yacht im broke lol
me too
im just uploading it without the index
I mean you could also use another model
Ayo? @leaden yacht level 10 !!! 
You don't specifically have to train one yourself
unless you really want to
but its up to you
yeah i did i made a better mj 2001 model
nicee
ive already uploaded it google drive
it works fine on google
it just doesnt have a index lol
Question about the training, does the d/total matter? and what information would I get from it?
well everyone elses links say resolve/main but mine doesnt
that sould work
butt i cant upload it to voice models cause i dont have permission
it should be https://huggingface.co/mjfan1999/MJInivincibleEra2001V2/resolve/main/MJInivincibleEra2001V2.zip?download=true, you need to right click the download button next to the zip and do copy link
Ok so you need to go to https://ptb.discord.com/channels/1159260121998827560/1159514067187277865
then use the /submit command and fill everything in
THIS WAS ALL TESTED ON THE Mangio-RVC-Fork WITH THE F-RVC-exp CONTINUATION FORK OF Mangio-RVC-Fork
(From what I know, each fork logs differently for TensorBoard)
Things you may need for this guide:
Audacity
iZotope RX Audio Editor
Adobe Audition
Spek
TL;DR is at the bottom of the page
Mangio logs...
Last update: Mar 7, 2024
just to confirm, does that mean the pitch is getting better (its going down)?
i got it
yep
yep
is this overtraining?
@leaden yachtive never payed attention to those things lol
good to know
the graphs?
@leaden yacht yeah
this whole ai thing is new to me
Im doing it manually on my own laptop
same