Lora AI, or the recipe for photos that were never taken

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Generating images using artificial intelligence - until recently, we could associate it with six fingers, low resolution and generally many shortcomings. Those times are already fading away, the development of generative artificial intelligence has recently gained an extraordinary pace - no wonder, since its potential is so huge. One of the greatest revolutions (although we can also talk about evolution here) of recent times is Flux AI. Let's talk about what Flux AI is, how to get more out of it using LoRA, how to start and use Flux and what is worth paying attention to.

What is Flux AI?
Flux AI is one of the latest models for generating images using artificial intelligence. It was developed by Black Forest Labs, a company that aims to develop cutting-edge generative deep learning models for media. The model is a real sri lanka telemarketing data breakthrough in this field, as it uses a “hybrid architecture” that combines diffusion and transformation techniques, scaling to almost 12 million parameters. This sounds very complicated, so in this post we will not go into the technical details, but rather focus on its “façade.”

What is LoRA?
LoRA is an acronym for “Learnable, Reversible and Adjustable operation”. But what does it mean? Let’s recap some theory and then move on to the practical side. These are the basic components of generative models, such as GAN (Generative Adversarial Networks) or VAE (Variational Autoencoders), which are the foundation of image synthesis and other creative applications of the model. To put it simply, using LoRA allows you to “direct” the Flux model to a given generative direction , so for simplicity I will write about them “LoRA models”. Today, this direction will be generating a few graphics using Flux with my image . So let’s get to work!

1. Flux + LoRA - What do I need?
At this point we need to separate - what do we expect? If we want to generate good quality graphics in one of the 27 styles that are currently available on the
Credits available for purchase on the website
However, if we want to generate more personalized graphics and have more control over the generation, we will need:

A computer with a graphics card of at least 12GB VRAM.
Internet access
Time and patience
The first way is relatively very simple, because it really involves logging into the site, choosing the model, and entering the desired prompt . That's why in today's post we'll focus more on the second solution, because I think the real possibilities start right there.

2. Flux AI + LoRA - step by step
As I mentioned, before we start creating our graphics, we need to go through a few steps to prepare our environment. Before we go any further, make sure your graphics card has at least 12GB of VRAM.

1. Installing the “Pinocchio” tool
We will be redirected to the documentation, where we click the Download for Windows button . If we are using MacOS or Linux, similar links can be found further down in the documentation.
Pinocchio Tool Documentation
The download will start. Unpack the downloaded zip file and find the executable file .exe and run it. Follow the instructions that appear.
After installing the “Pinocchio” program and running it, you should see a screen like this:
Installing the Pinocchio tool
If not, run the program and go to the Discover tab.

“Fluxgym” installation
In the Pinocchio search engine, type “fluxgym” and enter the search results, then click Download .
Fluxgym Tool - Installation
It is possible that it will redirect us to the search results in the web browser, then we simply type “fluxgym” again in the search engine and click Download .
Pinocchio will ask you to give it a name. I suggest leaving it as is and clicking Download .