pixpix, 8-bit, pixel_art
Changelog
Version 6.0 I trained this version using datasets v4 and v5, but most importantly, I wanted to learn something new for myself. Instead of the usual 12 epochs and 1 repeat, I did the opposite: 1 epoch and 12 repeats. The results personally make me happy—it’s as if the generalization of epochs didn’t improve things, and the final output doesn’t look like a clone of the dataset, even though there were only 723 images in it.
Just in case, I recommend using my parameters for generation: Euler_a, simple, checkpoint: PlantMilkSuite_walunt. The number of steps is optional, but usually more = better, although 26 is often enough for me. CFG may depend on the model, but for my favorite model, CFG 4 is best. If you want to add your own LoRA, think twice—was it trained with any kind of smoothing? Pixels might just vanish under the pressure of blurring. It’s probably best to avoid that LoRA if it kills pixels.
Also, I should note that even though you can activate LoRA with any checkpoint, most of the ones I’ve come across don’t work well with my model. Keep that in mind.
Unfortunately for those who use artist tags in their prompts, those tags will likely blur your image too. The best solution is to avoid artist tags altogether. My recommendation for prompts: start with "pixpix, 8-bit, pixel_art" and end with "masterprice"—this way, the image stays sharp, and the pixels won’t die.
Now, onto a more sensitive topic for me. My model seems to be growing like yeast, judging by CivitAI stats. I have plenty of ideas for implementation and further development, but there are a lot of nuances I’ll get into now.
First, I’m going crazy from the lack of speed, so if any of you want to help with your computing power, message me—I respond to everyone.
Second, I’ve tested many base models for training. Trust me, Illustrious is not the best model for pixel art. I’ve tried SDXL, PONY, and Illustrious, and here’s what I found:
Pony is a fascinating case—maybe its understanding of the world isn’t perfect, but its artistic output is impressive, and its biggest strength is how well it absorbs materials. Pony is the closest any model has come to the "GameDev" space, which is crucial. Of course, Pony is far behind Illustrious when it comes to NSFW content. Illustrious knows anime and characters well but struggles with backgrounds compared to Pony.
As for SDXL? I don’t even know what to take from it. It turned out to be too complex for me, so I honestly don’t know what to do with it. I might just upload it for fun—you can play around with it yourselves.
By the way, I’d be incredibly grateful if any of you published your work using my LoRAs. It’s important to me—this way, I can see what we’re achieving together. It’s one thing when I get good results, but it’s another when you should too. Though, in half the cases, the generations don’t turn out so well. Maybe it’s because I only publish the top 10% of what I generate? Who knows.
I didn’t have a specific goal in mind for this training, like "training for game graphics." I just wanted to throw together a mix of images and generalize the essence of pixel art. But this topic has gone much further than I expected. My understanding of the situation could probably solve the entire problem of AI-generated pixel art, but as I’ve said before, I lack the hardware to pull me out of despair.
My current models exist only because I once got lucky and bought about 20,000 buzz from a friend. That’s why I’m training all my models on CivitAI right now, but even the smallest training costs 500 buzz, which is quite expensive. And there are so many things I want to test.
The saddest part is that I can’t upload more than 1,000 images to the site for training. This could only be solved by switching to local training, so if anyone wants to help—message me. Maybe I can train through you.
Be sure to leave your comments under the model—I appreciate them, especially critical feedback on the current state of the model.
Someone left me a link to their custom node for ComfyUI. I tried their tool, and while it’s more resource-intensive than what I use, it technically offers more features—just with a steeper setup. I think there’s a huge variety of nodes to choose from in this area, and you don’t have to limit yourself to what’s readily available. For example, I enjoy experimenting and sometimes use GPT chats to create my own tools, which is incredibly helpful, especially for sorting or automation tasks. The key is understanding the algorithm behind it. https://github.com/HSDHCdev/ComfyUI-AI-Pixel-Art-Enhancer/tree/main
Below is a lot of information that could be useful—at least in theory—if you’re working with older versions. Just in case, I want to keep this as part of the record, even if it might feel like hoarding outdated material in some ways.
