Install Stable Diffusion Windows and Fix RTX performance 2023

Many feedback about performance NVIDIA RTX after installing Stable Diffusion Automatic1111. I will explained a simple way to install and fix the RTX 4090 performance within 5 minutes

First, make sure you have Python 3.10 in your Windows. You can use Anaconda or native Python installation.

  1. Clone stable diffusion git repository to your local directory

2. Install Stable Diffusion with xformers

This part is tricky. By default, it will install Torch 2.1.0, however the latest xformers will required to use torch 2.0. Which later you will encountered the problems like :

AssertionError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

The solution for installation both xformers and torch inside stable difussion is to pass the arguments in installation

./webui.bat --xformers

Fix Install Tensorflow 2 with GPU Simple Version 2023

Tensorflow running use GPU in Windows sometimes is difficult to do, where many articles not pointing exactly which Tensorflow version, NVIDIA drivers and other requirement needed to achieve it in Windows 11. Especially when you have NVIDIA RTX Graphic card like 4090 or 3090 or similar version.

I will help to explain on how to install it properly and make it run. Here are the steps to do:

1.Installing the Latest Anaconda.

Go to Anaconda website and download its community distribution. You can try to activate in your terminal windows with “conda activate” and you will enter your base.

If you are using powershelll, you can try “conda init powershell” to load the environment by default

2.Installing Microsoft Visual Studio 2022 (not to confuse with VSCode editor).

Choose the community version at and install Desktop Environment with C++


Install Numpy with OneAPI MKL for AMD in Ubuntu

NumPy uses libraries like BLAS, LAPACK, BLIS, or MKL to execute vector, matrix, and linear algebra operations. It’s acknowledged that Intel with MKL (Math Kernel Library) is quite more mature in this math operation than other libraries due to resources and experiences.

If you want to leverage Intel OneAPI MKL as backend for your Numpy, especially on Intel chip (or AMD if you want to try), here are a quick step for installation in Ubuntu (I use the latest ubuntu 23.04 Lunar Lobster).

First, download the required softwares

sudo apt install build-essential python3-pip python3 python3-dev libomp-dev

A context, libomp-dev will help you to avoid the error “Solve undefined symbol: omp_get_num_procs” when importing the numpy libraries in the python interpreter.

Second, we will install the Intel Base-kit:

Or follow the commands below

Machine Learning

Upgrade AUTOMATIC1111 StableDiffusion Torch 2.0 and Xformers Linux

The default installation of Stable Diffusion Automatic111 using the old version of Torch 1.13.1, Torchvision 0.14, and related Xformers, the will receive “No module ‘xformers’. Proceeding without it.”.

Pytorch 2.0 and Xformers are offering a big upgrade. Here are quick step on how to upgrade the Automatic111 web UI and load with xformers.

If you are using Anaconda, go open its terminal then go to stable-diffusion-webui/venv/bin and source activate to enter “venv” environment with python 3.10 as default.

Then, we can start to upgrade the torchvision, torch and xformers with this command

pip install torchvision --upgrade
pip install torch==2.0
pip install -U xformers

If receive an error like this, you can upgrade the torchvision version.

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchvision 0.14.1+cu117 requires torch==1.13.1, but you have torch 2.0.0 which is incompatible.
Successfully installed torch-2.0.0

After everything is done completely, you can fire-up your along with xformers module loaded with command : “bash –xformers”


Migrate WordPress to Upgraded Ubuntu AWS Server

I move WordPress from Ubuntu Server 21.04 to 23.04 with several easy steps. Here are the quick guideline on how to migrate WordPress safely without breaking

First, Backup all necessary data
Open your terminal and start with your home path ~/

sudo mysqldump -u root -p yourdb > db.sql

Second, Compress etc, home and any folder needed

sudo zip -r /etc
sudo zip -r /home/ubuntu

Transfer the file to the new server. If you need to use pem-key and using either windows or linux, use SCP to transfer pem-key from local computer to old-server. This is needed so you can transfer file from old to new server

scp -i .\your-key.pem -r .\your-key.pem ubuntu@your-ec2-server-ip:/home/ubuntu

Now your key pem is exists in home path in old server. Its time to transfer the whole zip files backup to the new server home path

scp -i your-key.pem *.zip ubuntu@your-new-server-EC2:/home/ubuntu/

Once its done, you just need to extract the folder and replace whatever needed configuration and databases to the new server.

If you encountered by permission denied (13) on NGINX,

/php/php8.0-fpm.sock:", host: "www. com"
2023/04/23 16:31:33 [crit] 17224#17224: *28 stat() "/home/ubuntu/" failed (13: Permission denied), client:, server: .com, request: "GET / HTTP/1.1", host: "www. .com"
2023/04/23 16:31:33 [crit] 17224#17224: *28 stat() "/home/ubuntu/" failed (13: Permission denied), client:, server: .com, request: "GET / HTTP/1.1", host: ""
2023/04/23 16:31:33 [error] 17224#17224: *28 FastCGI sent in stderr: "Primary script unknown" while reading response header from upstream, client: 182.25352.107, server: .com, request: "GET / HTTP/1.1", upstream: "fastcgi://unix:/run/php/php8.0-fpm.sock:", host: ""

the quickfix solution

sudo gpasswd -a www-data ubuntu
sudo service php8.1-fpm restart
sudo service nginx restart

Done! Now you can smoothly migrate WordPress from the old ubuntu server to the new ubuntu server without problem. The last step is to change the IP-address in NS. If you are using AWS Route 53, just change the IP address in the record and you are ready to go!


Solve Profile PS1 cannot be loaded UnauthorizedAccess

If you have this error when opening CMD, Powershell or terminal

WindowsPowerShell\profile.ps1 cannot be loaded because running scripts is disabled on
this system. For more information, see about_Execution_Policies at https:/
At line:1 char:3
+ . 'C:\Users\dev\Documents\WindowsPowerShell\profile.ps1'
+   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
    + CategoryInfo          : SecurityError: (:) [], PSSecurityException
    + FullyQualifiedErrorId : UnauthorizedAccess

The quick fix is open “Powershell” with administrator access and execute this command

Set-ExecutionPolicy Unrestricted

Conda without Python in Windows 11

When using Anaconda conda in terminal Windows, we often found the Python and default packages is already installed. To create conda new environment empty packages in Windows cmd / powershell without any packages, follow this steps:

  1. Uninstall Anaconda (if you have its installed)
  2. In installation step, un-check both “Add Anaconda to my Path” and “Register Anaconda Python for VScode, etc.”
  3. Complete the installation
  4. Go to Edit the Environment Variables
  5. Create a new variable with “C:\Users\YOURUSERNAME\anaconda3\Scripts”

And we done. Next, you can open terminal:

conda init
conda create -n test
conda activate test
conda list

Voilla! Now you have empty environment with Conda 100%!

Deep Learning

Install Tensorflow GPU in Jupyter Notebook Windows


Please go to the latest update article here


Jupyter Notebook from Anaconda is not coming with Tensorflow by default. If you are using Windows and want to leverage your GPU (mine is RTX 3060Ti), you can install Tensorflow GPU integrated with your Jupyter.

In this steps, no Python installation required, since we will using Python from Anaconda (~ version 3.9). This is also to reduce complexity of using different virtual environment in Conda.

Yes, in this step, the TensorFlow will automatically load into your default Jupyter root base environment and will not require installing a new one.


Enforce Dark mode to all website in Chrome

Dark mode is good or bad for your eyes? What happen when all website you are visit is in Dark mode? I’m running this experiments via Chrome. Yes, you can enable this easily. Follow the steps below

First, type this into your browser


Search “auto dark mode” in the search box, then click Enable.

Then relaunch your browser. Now, everything you see will be in dark mode!

PS: Apparently dark mode is not good for my eyes focus after give a try for 15-20 minutes

Fix Customize resolution unable Nvidia Samsung 240hz

When I’m using 240hz with G-SYNC and Performing scaling on GPU, the resolution available is just 5120xs1440, 1920×1440, 1920×1200, and 1600×1200.

To add new resolution, here are the pre-requisities: Make sure enable 240hz and Scaling on GPU

Then go to regedit, choose “Find” with Key and value checked, enter keyword “nv_modes”.

Modify by adding this as end of the line


Then reboot. Now you should see a new resolution in your Nvidia Panel