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Did you know that you can make your own custom boot animations for Android? Whilst tinkering with important files may strike fear in some Android owners, it’s actually very straightforward to download or even create your very own custom boot animations.

In this article I’ll touch a little on how to install custom boot animations from the web. If you would like to create your own animations to use instead, you can check that out here. This guide requires practically no technical know-how, although you’ll need to root your device beforehand.

You may have noticed an animated logo showcasing your phone manufacturer or your network carrier each time you switch your Android phone on. This short animation that appears before reaching your home launcher is called a boot animation. Typically, boot animations are not changeable but with a couple of tools we can switch things up.

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If you have already rooted your device then you’re more than halfway there. With this method you’ll be able to download an app that can be used to do all of the work for you.

This method can only be used to install existing animations, so you’ll have to download one online. I’ve had a search around and found that the selection below offer the best collection of custom boot animations for download. If you’d like to create your very own animation you’ll need to see the other method.

Your first step involves finding a boot animation to download. We would suggest navigating to one of the locations below from your smartphone. From each of these websites you can install a bootanimation.zip. Nothing else needs to be done to it, so make sure not to extract it. We’ll need the boot animations root app for later, so if you choose that option you can skip step 2.

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If you choose Bhoot from the list above, the website will let you set up the animation via different methods but we’d suggest choosing the bootanimation.zip method. That way you can learn a method that will work for all of the sources listed above.

Next you will need to install an application from the Google Play Store. This app does require root access so make sure you’re rooted before continuing. The application can be found here.

The app we listed is free but if you purchase the pro version you can also preview animations from within the app.

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You can now install the custom boot animation that you downloaded earlier. The screenshot below shows you the interface for this application. Follow the steps below to find your new boot animation.

If you chose to use the app from the Google Play store as your source for boot animations, you can navigate to the tab at the top which reads ‘server’ from within the app instead and choose an animation on the list to install.

The app will now install the custom boot animation. You can sit back and watch the magic happen. The next time you start up your device, your boot animation will have changed.

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This method can be great for adding a bit of extra style to your Android smartphone in a place where most wouldn’t expect it. However, with this method you are limited to the animations you can find online. If you would like to create your own animation for use as a custom boot animation, please follow this guide here.

Kevin Arrows is a highly experienced and knowledgeable technology specialist with over a decade of industry experience. He holds a Microsoft Certified Technology Specialist (MCTS) certification and has a deep passion for staying up-to-date on the latest tech developments. Kevin has written extensively on a wide range of tech-related topics, showcasing his expertise and knowledge in areas such as software development, cybersecurity, and cloud computing. His contributions to the tech field have been widely recognized and respected by his peers, and he is highly regarded for his ability to explain complex technical concepts in a clear and concise manner.Magic the Gathering (Magic) has fascinated me since I was a child. It’s pretty unique as a game in that players use asymmetric game pieces. Unlike chess, in which both players have the same pieces in front of them, in Magic, every player sits down at the table with their own deck of cards that they have handcrafted.

My obsession with the game came from the enjoyment of poring over the thousands of Magic cards released during its history and trying to build a good deck. My only complaint about Magic is that although there are thousands of cards, I really wish there were hundreds of thousands! This was the motivation behind this project—I just wanted more Magic cards.

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It turns out that finetuned large language models (LLM) are actually really good at creating magic cards, and they can create hundreds of thousands of them in just a few days!

This is a story of how my two friends and I created Urza’s AI, a website that uses Artificial Intelligence (AI) to generate Magic cards, and how over 38 thousand others joined in the fun.

Magic the Gathering is a collectible card game played with two or more players. Each player starts with a deck of cards and 20 life points and uses those cards to deal damage to the opponent and reduce the life points to 0. Each card consists of a set of information, including its name, cost, type (out of 6 basic types), subtype, a text description about its abilities, and sometimes a small story about the card (flavor text).

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Together with my colleagues, Ali Sabet and Michael Kozakov, we had this question—what if we could create an AI that, when prompted with just a card name, would generate a playable Magic card that follows the theme of that given name, complete with all the card information and an image?

It turns out we could! In the end, it took a combination of language AI (an LLM) to generate the text of a Magic card and text-to-image AI to create the card’s image based on the generated text. Here is how we built it.

LLMs are massive neural networks that model how the human language works. They are pre-trained with a vast body of text data, allowing them to excel in various Natural Language Processing (NLP) use cases.

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One example is language generation, where an LLM can take a piece of text and continue generating text whose context matches closely the one given. This is the essence of prompt engineering, which is what enables so many creative use cases out there such as in creative writing, chatbots, role-playing games, and more.

With Urza’s AI, given a card name, we wanted to generate original and complete information about the card, such as the cost, type, subtype, and description. Using Cohere’s Generate LLM model, accessible via an API, we created a few examples of Magic card information as the prompt.

The outcome was not bad at all. The model generated a very good output, as in the screenshot below, taken from one example generation in the Cohere playground.

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But though the cards were readable, they were often overpowered or uninterpretable. There was room to make them better. So we decided to take it further by finetuning a Generate model.

Finetuning is a step where you take a pre-trained LLM and customize it with your own dataset. The model then goes through a training round and thereafter, can produce outputs that are more attuned to the dataset you had given it.

So we took a dataset of all the cards released by Wizards of the Coast containing full Magic card descriptions. We finetuned a Cohere Generate model using this dataset⁠—a simple activity of uploading the dataset and kickstarting the finetune via the Playground.

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A Magic card of just text without a picture wouldn’t be complete, so we needed to find a way to create card images that match the theme of the generated text.

For this, we used the Wombo Art API to generate the card image. Wombo’s API leverages another type of neural network—a model trained with text as the input and image as the output.

We provided the API with the card name, types, and subtypes. We also made a few other prompt tricks to condition the API to return the kinds of images that we wanted.

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The images generated were impressive! You can see from some examples below that the images captured the themes nicely and were beautifully illustrated to boot.

We didn’t stop there. We also wanted to use AI to generate the card back and the Mana icons. So we created some prompts and sent them to the Wombo API to generate the images.

With all the ingredients ready, it’s time to render a complete card. We pieced it together with a bunch of CSS and HTML stuff, which honestly turned out to be the hardest part of the whole project!

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We hosted it on Urza’s AI, a website where you can enter a card name and it will take care of the rest, rendering a complete card. Try it out here!

We didn’t know how this project would turn out, but the