AI Character Image Generator using Machine Learning [ML]

AI Character Image Generator Links on Fooocus

Fooocus: Focus on prompting and generating. 

Fooocus is an image generating software (based on Gradio ).

"Fooocus presents a rethinking of image generator designs. The software is offline, open source, and free, while at the same time, similar to many online image generators like Midjourney, the manual tweaking is not needed, and users only need to focus on the prompts and images. Fooocus has also simplified the installation: between pressing "download" and generating the first image, the number of needed mouse clicks is strictly limited to less than 3. Minimal GPU memory requirement is 4GB (Nvidia)."

 

Github hosted AI character generator forked links include:

• mbah360/Fooocus: Focus on prompting and generating
• mbah360/stable-diffusion-webui-forge
• mbah360/ComfyUI: The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
• mbah360/gradio: Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
• 
  
• Gradio - For making demos of ML models with a web interface - https://www.gradio.app/
• FastRTC - The Real-Time Communication Library for Python - https://fastrtc.org/

The core linux source file is about 10.3Mb zipped file. Unzipped its a 15.5Mb folder with files. The windows zipped file is 1.9Gb which extracts to 5.4Gb. Please note you are recommended to have a free space of at least 40Gb

I personally use the Nvidia Studio driver (professional apps) always  - not the game ready driver.

Note the system requirements, for example for a Windows/Linux system using an Nvidia 4xxx system, its recommended you have a GPU RAM of 4Gb, and a system ram of 8Gb. My current Lenovo 5i laptop supports/exceeds this: RTX4060 with 8Gb VRAM and system RAM 32Gb.  

ML Generation Playlist - Click below for the videos:

ML AI Playlist

Below are sample images generated:

Side notes:

Related youtube shorts on this:  https://www.youtube.com/shorts/U2G-izpTUD8

ML (Machine Learning) Environment setup notes

 1)

Python version check

2)

Nvidia Cuda version check

3)

Pytorch installation using pip

Reference:  https://pytorch.org/get-started/locally/

Test:

GTC March 2025 Keynote with NVIDIA CEO Jensen Huang

March 18th 2025:

Blender Benchmark Results

 Results using Blender 3D software. https://www.blender.org/

1)

Running on my Lenovo laptop

2)

Jetson Nano Benchmark Results

 Results from benchmarks l ran , using the Jetson Nano.

A New Chapter in Digital Ink

Welcome to Moments In Digital Ink! 

This blog is a space where everyday experiences and reflections come to life through the power of words. Here, we aim to capture the essence of life's moments, big and small, and share them in a way that resonates with each reader. From heartfelt stories to inspiring insights and creative musings, we invite you to join us on this journey of exploration, inspiration, and connection. 

Dive in, engage, and let every moment leave its mark.