Pixel Art Style by Skormino (Illustrious)

Pixel Art Style by Skormino (Illustrious) - v3

Lora created by Skormino (please credit them and support them whenever you can): https://civitai.com/models/1631459 Description by Skormino: The training dataset consisted of artwork where each pixel was equal to 8x8. This is important because if you need "perfect" pixels, I recommend RESIZE at 0.125 (If you are repelled by the factor, or by 12.5% if you have percentage manipulations), and then RESIZE at 8.000, so that the pixels acquire their true nature. Use the Nearest Neighbor method when resizing. To my surprise, the model can generate pixels even without words related to pixels. It works like this: the word "pixel_art" excites the model's desire to draw in the way it knows pixel art, but the thing is, I didn't teach the model pixel art. I only specified the trigger word "pixpix" in the training, and personally, I don't need to write it for the Lora to truly work. It is enough that Lora is enabled. Words like "Pixel_art" and similar ones can still make the neural network's job easier because contours and limitations that pixel art is prone to appear. I apologize if I am asking too much of you. Please publish as many of your works as possible under my model. Leave comments, tell me what you don't like, and what you would like to see. I listen to all your words and will be happy with any of your works. I love you for your activity. Thanks to it, I have more opportunities to test. I really wanted to give you a universal tool, and without your support, it will take too much effort and time to build buzz. Next on the plan: tests, tests, and more tests. Various parameters can potentially be useful for training. I haven't even tried describing what's happening in the training materials yet. Well, well, well. I don't even know if it's necessary at all.

Description

I corrected the dataset as best as I could; working with 280 images is not that easy (there were enough mistakes). The goal of this endeavor was to expand the potential of the model. The more faces you feed the model, the less likely it is to draw the same thing over and over. Then I decided that it would be a good idea to add some more works; later, I encountered a significant difference. The second version of Lora, it turns out, includes not only pixelation but also a limited palette. Version 3 differs not only in this regard; in some places, it is brighter and richer. In any case, the visual style has changed; decide for yourself which you like more. I tried to slow down the training, changed the noise offset, increased the dim, but was afraid to touch the alpha. I am considering various possible solutions to the problem of why pixels do not want to be pixelated and get blurred. My biggest fear is the words of my mentor, who believes that the neural network does not remember more than one megapixel of information from a picture. He might be right. If so, we will have to train on works smaller than 1024x1024, which, if multiplied, gives 1,048,576, and 1 megapixel is 1,000,000 pixels. We will have to work hard to adequately train the neural network in such a narrow format. I do not have many sources of high-quality pixel art. Unlike many other pixel models you can find on CivitAI, mine can boast clear rules for adhering to pixel art, but unfortunately, I have not yet had the strength to tackle testing the control of "Dithering"; for now, it will appear spontaneously. I am sure it can ideally be controlled just like the presence or absence of outlines; for now, the model prefers outlines.