MY AVATAR KEEPS LAGGING

[Otitokelly]

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

[JohanAR]

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.

[stanleyotf]

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 https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521218953, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA . You are receiving this because you are subscribed to this thread.Message ID: @.***>

[Otitokelly]

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 < https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521218953 , or unsubscribe < https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA

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[stanleyotf]

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.

— Reply to this email directly, view it on GitHub <

https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521218953

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https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA

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[seegunz]

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)

[Otitokelly]

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)

— Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/577#issuecomment-1522455373, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7M7C4LNK37WHJ75IWTHTSLXDBABVANCNFSM6AAAAAAXKHPWCA . You are receiving this because you authored the thread.Message ID: @.***>

[seegunz]

also, i ll like to see how smooth your avatarify performs. i am about to try the colab as you stated

[stanleyotf]

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)

— Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/577#issuecomment-1522455373, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYI3FIMHAL7OFDST5PDXDBABVANCNFSM6AAAAAAXKHPWCA . You are receiving this because you commented.Message ID: @.***>

[Cashout004]

Greetings to you @seegunz please can you explain more because I am also suck on this solving environment stage

[seegunz]

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

[seegunz]

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

you should do this

pip uninstall torch pip cache purge pip install torch -f https://download.pytorch.org/whl/torch_stable.html

[abladefelix]

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. > > > > — > > Reply to this email directly, view it on GitHub > > < > #577 (comment) > >, > > or unsubscribe > > < > https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA > > > > . > > You are receiving this because you are subscribed to this thread.Message > > ID: @.> > > > > — > Reply to this email directly, view it on GitHub > < #577 (comment) >, > or unsubscribe > < https://github.com/notifications/unsubscribe-auth/A7M7C4MW3CQII4WG54MYBQDXC5XPLANCNFSM6AAAAAAXKHPWCA > > . > You are receiving this because you authored the thread.Message ID: > @.> > — Reply to this email directly, view it on GitHub <#577 (comment)>, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYNARF7PBXTQ47NXATLXC5YRJANCNFSM6AAAAAAXKHPWCA . You are receiving this because you commented.Message ID: @.>

You need to install mamba and then edit the install script to install the dependencies using mamba

[Otitokelly]

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 … <#m5209822888941624416> 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) https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521218953

, > > or unsubscribe > > < > https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA https://github.com/notifications/unsubscribe-auth/A7LXOYN5BG4R5GOU2L7FL63XC5VDVANCNFSM6AAAAAAXKHPWCA

. > > You are receiving this because you are subscribed to this thread.Message > > ID: @.> > > > > — > Reply to this email directly, view it on GitHub > < #577 (comment) https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521238165 , > or unsubscribe > < https://github.com/notifications/unsubscribe-auth/A7M7C4MW3CQII4WG54MYBQDXC5XPLANCNFSM6AAAAAAXKHPWCA . > You are receiving this because you authored the thread.Message ID: @.> > — Reply to this email directly, view it on GitHub <#577 (comment) https://github.com/alievk/avatarify-python/issues/577#issuecomment-1521246601>, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYNARF7PBXTQ47NXATLXC5YRJANCNFSM6AAAAAAXKHPWCA https://github.com/notifications/unsubscribe-auth/A7LXOYNARF7PBXTQ47NXATLXC5YRJANCNFSM6AAAAAAXKHPWCA . You are receiving this because you commented.Message ID: @.*>

You need to install mamba and then edit the install script to install the dependencies using mamba

— Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/577#issuecomment-1532378962, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7M7C4NQJQ5JZQZMCNDQ5K3XEG6BTANCNFSM6AAAAAAXKHPWCA . You are receiving this because you authored the thread.Message ID: @.***>

[daan323232]

ImportError: DLL load failed. The specified module could not be found error help

[abladefelix]

@Otitokelly Good to know you solved it

[seegunz]

ImportError: DLL load failed. The specified module could not be found error help

https://download.visualstudio.microsoft.com/download/pr/2250605e-e48f-43ed-ba6e-e0cc18bc530d/A9F5D2EAF67BF0DB0178B6552A71C523C707DF0E2CC66C06BFBC08BDC53387E7/VC_redist.x64.exe

[veragreg]

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>

[veragreg]

this was what i got as a result of trying the code to solve the Lagging issue. any solution for this.?

[stanleyotf]

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>

— Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/577#issuecomment-1572909273, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYOVHUKMW26EL2LVC6DXJEPHDANCNFSM6AAAAAAXKHPWCA . You are receiving this because you commented.Message ID: @.***>

[stanleyotf]

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 https://github.com/alievk/avatarify-python/issues/577#issuecomment-1572910115, or unsubscribe https://github.com/notifications/unsubscribe-auth/A7LXOYOG3I65UARFO3Y7VADXJEPL7ANCNFSM6AAAAAAXKHPWCA . You are receiving this because you commented.Message ID: @.***>

[abladefelix]

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 < https://github.com/alievk/avatarify-python/issues/577#issuecomment-1572910115 , or unsubscribe < https://github.com/notifications/unsubscribe-auth/A7LXOYOG3I65UARFO3Y7VADXJEPL7ANCNFSM6AAAAAAXKHPWCA

. You are receiving this because you commented.Message ID: @.***>

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[MICKYGEM]

If you have nvidia GPU Rtx or gtx dm now let's fix the lagging

‪+234 811 513 3627‬

[seegunz]

this was what i got as a result of trying the code to solve the Lagging issue. any solution for this.?

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

[skylar12345]

DEEPFAKE is working well for me …

Please can you help me configure mine on anydesk? or remote desktop. please bro.

[seegunz]

DEEPFAKE is working well for me

…

Please can you help me configure mine on anydesk? or remote desktop. please bro.

What kinda pc do u use

[andrewwood790]

@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

[SanPatrick01]

Send text to WhatsApp with anydesk address

[seegunz]

@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

You can chat me on telegram @seegunz

[jaceray2334]

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

you should do this

pip uninstall torch pip cache purge pip install torch -f https://download.pytorch.org/whl/torch_stable.html

Please I have this same issue, how can I contact you please help me, jaceray998@gmail.com

[SanPatrick01]

Text on WhatsApp Hope it's a gaming laptop?

[jaceray2334]

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?

— Reply to this email directly, view it on GitHub https://github.com/alievk/avatarify-python/issues/577#issuecomment-1908825147, or unsubscribe https://github.com/notifications/unsubscribe-auth/BFSW2JCIVLSIXEZVVR3JEFLYQFR2DAVCNFSM6AAAAAAXKHPWCCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMBYHAZDKMJUG4 . You are receiving this because you commented.Message ID: @.***>

[SanPatrick01]

Well we can work on it

‪+234 811 513 3627‬

[SanPatrick01]

‪+2348115133627‬