MY AVATAR KEEPS LAGGING #577
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What kind of graphics card does your computer have? When you open a new issue it is pre-filled with a template containing questions, including the one above. If you answer those questions it becomes much easier to help you. |
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Am still stuck in conda solving environments, can't get pass that phase!!
…On Tue, Apr 25, 2023, 7:27 AM Johan ***@***.***> wrote:
What kind of graphics card does your computer have?
When you open a new issue it is pre-filled with a template containing
questions, including the one above. If you answer those questions it
becomes much easier to help you.
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All you need to pass that conda solving environment is a very good network,
I need to buy a 5G router before my PC could pass that stage. You need to
leave your PC connected to the router over night, last night it took 11pm
to 5am on my 5G router to pass that stage. Then once it’s past that stage
everything else loads pretty much quickly then you use run_windows.bat to
start the avatarify. This morning when i ran the run_windows.bat it needed
me to install requests, Pvc and face alignment so i used pip install
requests, etc. to get past that stage and everything opened pretty much
easily. Even the lagging issue got solved. My Pc graphics card is an NVIDIA
GEForce RTX 3070 with 8gb video dedicated memory.
I hope this helps
…On Tue, Apr 25, 2023 at 7:47 AM stanleyotf ***@***.***> wrote:
Am still stuck in conda solving environments, can't get pass that phase!!
On Tue, Apr 25, 2023, 7:27 AM Johan ***@***.***> wrote:
> What kind of graphics card does your computer have?
>
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I didn't know it's uses data connections for the process. Thanks for the
info
I read libmamba can solve it faster and I don't know how to do it.
I don't have funds to buy 5g router for now!!
If libmamba can help, I really need someone to guide me through
…On Tue, Apr 25, 2023, 7:56 AM Otitokelly ***@***.***> wrote:
All you need to pass that conda solving environment is a very good network,
I need to buy a 5G router before my PC could pass that stage. You need to
leave your PC connected to the router over night, last night it took 11pm
to 5am on my 5G router to pass that stage. Then once it’s past that stage
everything else loads pretty much quickly then you use run_windows.bat to
start the avatarify. This morning when i ran the run_windows.bat it needed
me to install requests, Pvc and face alignment so i used pip install
requests, etc. to get past that stage and everything opened pretty much
easily. Even the lagging issue got solved. My Pc graphics card is an NVIDIA
GEForce RTX 3070 with 8gb video dedicated memory.
I hope this helps
On Tue, Apr 25, 2023 at 7:47 AM stanleyotf ***@***.***> wrote:
> Am still stuck in conda solving environments, can't get pass that phase!!
>
> On Tue, Apr 25, 2023, 7:27 AM Johan ***@***.***> wrote:
>
> > What kind of graphics card does your computer have?
> >
> > When you open a new issue it is pre-filled with a template containing
> > questions, including the one above. If you answer those questions it
> > becomes much easier to help you.
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you can easily bypass this solving environment by editing your script\install_windows.bat change this the line of code there to this exactly call conda create -y -n %CONDA_ENV_NAME% python=3.10.11 note (just replace the version of that line of code : python version (3.10.11) to the version of python you are using) |
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Wow thanks for the update bro
…On Tue, Apr 25, 2023 at 10:39 PM seegunz ***@***.***> wrote:
you can easily bypass this solving environment by editing your
script\install_windows.bat
change this the line of code there to this exactly
call conda create -y -n %CONDA_ENV_NAME% python=3.10.11
note (just replace the version of that line of code : python version
(3.10.11) to the version of python you are using)
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also, i ll like to see how smooth your avatarify performs. i am about to try the colab as you stated |
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Thanks, I'll check it out.
…On Tue, Apr 25, 2023, 10:39 PM seegunz ***@***.***> wrote:
you can easily bypass this solving environment by editing your
script\install_windows.bat
change this the line of code there to this exactly
call conda create -y -n %CONDA_ENV_NAME% python=3.10.11
note (just replace the version of that line of code : python version
(3.10.11) to the version of python you are using)
—
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Greetings to you @seegunz please can you explain more because I am also suck on this solving environment stage |
check your c files where your avatarify-python is installed, go to the script folder and right click it and select edit. then change the line of code that is similar to this code below. call conda create -y -n %CONDA_ENV_NAME% python=3.10.11 note: the python=3.10.11 is the version of python i have installed on my pc, so the exact version of python u install should be used |
you should do this pip uninstall torch |
You need to install mamba and then edit the install script to install the dependencies using mamba |
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I don’t know what is Libmamba.
The processes i explained to you earlier, are how i passed and solved my
problem.
…On Wed, May 3, 2023 at 3:19 AM abladefelix ***@***.***> wrote:
I didn't know it's uses data connections for the process. Thanks for the
info I read libmamba can solve it faster and I don't know how to do it. I
don't have funds to buy 5g router for now!! If libmamba can help, I really
need someone to guide me through
… <#m_5209822888941624416_>
On Tue, Apr 25, 2023, 7:56 AM Otitokelly *@*.*> wrote: All you need to
pass that conda solving environment is a very good network, I need to buy a
5G router before my PC could pass that stage. You need to leave your PC
connected to the router over night, last night it took 11pm to 5am on my 5G
router to pass that stage. Then once it’s past that stage everything else
loads pretty much quickly then you use run_windows.bat to start the
avatarify. This morning when i ran the run_windows.bat it needed me to
install requests, Pvc and face alignment so i used pip install requests,
etc. to get past that stage and everything opened pretty much easily. Even
the lagging issue got solved. My Pc graphics card is an NVIDIA GEForce RTX
3070 with 8gb video dedicated memory. I hope this helps On Tue, Apr 25,
2023 at 7:47 AM stanleyotf @.*> wrote: > Am still stuck in conda solving
environments, can't get pass that phase!! > > On Tue, Apr 25, 2023, 7:27 AM
Johan *@*.*> wrote: > > > What kind of graphics card does your computer
have? > > > > When you open a new issue it is pre-filled with a template
containing > > questions, including the one above. If you answer those
questions it > > becomes much easier to help you. > > > > — > > Reply to
this email directly, view it on GitHub > > < > #577 (comment)
<#577 (comment)>
> >, > > or unsubscribe > > < >
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view it on GitHub > < #577 (comment)
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You need to install mamba and then edit the install script to install the
dependencies using mamba
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ImportError: DLL load failed. The specified module could not be found error help |
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@Otitokelly Good to know you solved it |
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(base) C:\Users\Adoini\avatarify-python-youtube>pip install torch -f https://download.pytorch.org/whl/torch_stable.html During handling of the above exception, another exception occurred: Traceback (most recent call last): (base) C:\Users\Adoini\avatarify-python-youtube> |
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this was what i got as a result of trying the code to solve the Lagging issue. any solution for this.? |
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It's working for me also, but now am using DEEPFAKE!!
…On Fri, Jun 2, 2023, 12:17 AM veragreg ***@***.***> wrote:
pip install torch -f https://download.pytorch.org/whl/torch_stable.html
(base) C:\Users\Adoini\avatarify-python-youtube>pip install torch -f
https://download.pytorch.org/whl/torch_stable.html
Looking in links: https://download.pytorch.org/whl/torch_stable.html
Collecting torch
Downloading
https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp37-cp37m-win_amd64.whl
(2255.6 MB)
|██████████████ | 969.1 MB 20 kB/s eta 17:10:40ERROR: Exception:
Traceback (most recent call last):
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\urllib3\response.py",
line 438, in _error_catcher
yield
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\urllib3\response.py",
line 519, in read
data = self._fp.read(amt) if not fp_closed else b""
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\cachecontrol\filewrapper.py",
line 62, in read
data = self.__fp.read(amt)
File "C:\Users\Adoini\miniconda3\lib\http\client.py", line 465, in read
n = self.readinto(b)
File "C:\Users\Adoini\miniconda3\lib\http\client.py", line 509, in readinto
n = self.fp.readinto(b)
File "C:\Users\Adoini\miniconda3\lib\socket.py", line 589, in readinto
return self._sock.recv_into(b)
File "C:\Users\Adoini\miniconda3\lib\ssl.py", line 1071, in recv_into
return self.read(nbytes, buffer)
File "C:\Users\Adoini\miniconda3\lib\ssl.py", line 929, in read
return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\cli\base_command.py",
line 173, in _main
status = self.run(options, args)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\cli\req_command.py",
line 203, in wrapper
return func(self, options, args)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\commands\install.py",
line 316, in run
reqs, check_supported_wheels=not options.target_dir
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\resolver.py",
line 95, in resolve
collected.requirements, max_rounds=try_to_avoid_resolution_too_deep
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\resolvelib\resolvers.py",
line 472, in resolve
state = resolution.resolve(requirements, max_rounds=max_rounds)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\resolvelib\resolvers.py",
line 341, in resolve
self._add_to_criteria(self.state.criteria, r, parent=None)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\resolvelib\resolvers.py",
line 172, in _add_to_criteria
if not criterion.candidates:
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\resolvelib\structs.py",
line 151, in *bool*
return bool(self._sequence)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\found_candidates.py",
line 140, in *bool*
return any(self)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\found_candidates.py",
line 128, in
return (c for c in iterator if id(c) not in self._incompatible_ids)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\found_candidates.py",
line 32, in _iter_built
candidate = func()
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\factory.py",
line 209, in _make_candidate_from_link
version=version,
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\candidates.py",
line 301, in *init*
version=version,
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\candidates.py",
line 156, in *init*
self.dist = self._prepare()
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\candidates.py",
line 227, in _prepare
dist = self._prepare_distribution()
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\resolution\resolvelib\candidates.py",
line 306, in _prepare_distribution
self._ireq, parallel_builds=True
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\operations\prepare.py",
line 508, in prepare_linked_requirement
return self._prepare_linked_requirement(req, parallel_builds)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\operations\prepare.py",
line 552, in _prepare_linked_requirement
self.download_dir, hashes
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\operations\prepare.py",
line 243, in unpack_url
hashes=hashes,
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\operations\prepare.py",
line 102, in get_http_url
from_path, content_type = download(link, temp_dir.path)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\network\download.py",
line 145, in *call*
for chunk in chunks:
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\cli\progress_bars.py",
line 144, in iter
for x in it:
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_internal\network\utils.py",
line 87, in response_chunks
decode_content=False,
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\urllib3\response.py",
line 576, in stream
data = self.read(amt=amt, decode_content=decode_content)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\urllib3\response.py",
line 541, in read
raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
File "C:\Users\Adoini\miniconda3\lib\contextlib.py", line 130, in *exit*
self.gen.throw(type, value, traceback)
File
"C:\Users\Adoini\miniconda3\lib\site-packages\pip_vendor\urllib3\response.py",
line 443, in _error_catcher
raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='
download.pytorch.org', port=443): Read timed out.
(base) C:\Users\Adoini\avatarify-python-youtube>
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DEEPFAKE is working well for me
…On Fri, Jun 2, 2023, 12:18 AM veragreg ***@***.***> wrote:
this was what i got as a result of trying the code to solve the Lagging
issue. any solution for this.?
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There are lots of deepfakes out there. Which one are you using?
…On Thu, Jun 1, 2023 at 11:19 PM stanleyotf ***@***.***> wrote:
DEEPFAKE is working well for me
On Fri, Jun 2, 2023, 12:18 AM veragreg ***@***.***> wrote:
> this was what i got as a result of trying the code to solve the Lagging
> issue. any solution for this.?
>
> —
> Reply to this email directly, view it on GitHub
> <
#577 (comment)
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If you have nvidia GPU Rtx or gtx dm now let's fix the lagging +234 811 513 3627 |
it will lag if u are not using the minimum recommended graphic pc or u are not using at all. if u use, install cuda |
Please can you help me configure mine on anydesk? or remote desktop. please bro. |
What kinda pc do u use |
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@seegunz bro can i email you or something? My pc is the same as the script install you asked me to change to but still at solving environment is there a way we can communicate faster please |
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Send text to WhatsApp with anydesk address |
Please I have this same issue, how can I contact you please help me, [email protected] |
|
Text on WhatsApp |
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Of course, it’s msi rtx4060 please send your WhatsApp I’m willing to pay as
fee as it’s resolved
…On Wed, Jan 24, 2024 at 8:59 PM SanPatrick01 ***@***.***> wrote:
Text on WhatsApp
Hope it's a gaming laptop?
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Well we can work on it +234 811 513 3627 |
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+2348115133627 |
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i really dont understand this from the beginning, but i got it to face alignment and don't know again, please i need directions from the start |
and others
Alright I’m not running my avatarify on google collab, after days of running the avatarify i managed to get past the solving environment and then the avatarify opened with windows.bat conmand. But after restart I’m only running the avatarify with Cd Avatarify python and run windows.bat but after installing the necessary files which is pip install pyaml and the rest everything was fixed and I’m now able to open my avatarify but it keeps lagging. Please somebody help I’ll appreciate it dearly
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