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Recently TBB’s Chris Doyle shared with us his journey of creating a custom LEGO Art mosaic. One of the tools Chris used, LEGO Art Remix, was an essential step towards getting to the finished product. We took some time to talk to Creator Deb Banerji about the project. With his background in Computer Science, Deb coded the foundation of the LEGO Art Remix tool in about 5 hours, though he’s spent a bit more time refining it since then. I’ve had some hands-on time with it from the first release and to its current final form, and it’s only gotten better. The latest results output close to a finished mosaic design that you can immediately start building within minutes if you had the parts on hand.
Mosaic creations using LEGO studs and plates are not something new. LEGO fans have been making them for decades, and official sets have been around even longer (Read a brief history in our review of LEGO Art 31199 Iron Man). What’s I’m hoping to do here is explore how to get to a presentable and decipherable mosaic in the shortest amount of time possible, from image upload through to knowing which pieces to order on Bricklink. I know at the outset that virtually all custom LEGO mosaic creations will require some amount of tweaking eventually. But the LEGO Art Remix takes away a huge portion of the work needed, only leaving you to fine-tune a little if you wish. Casual fans just want to build with as little effort re-designing as possible, and this lowers the barrier for them to get started quickly on creating a custom mosaic artwork. There’s clear interest in this market, with LEGO’s own release of the LEGO Art line garnering broad interest among fans. Many fans who want mosaic wall art want things easy, and

For my first quick and dirty attempt, I wanted to start with something simple and recognisable. Who better to select than Mario himself? I googled a character image and picked a decent looking version, which I then cropped at the shoulders to give a nice portrait.
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Loading images into Lego Art Remix is a no brainer. When you visit the website, the screen below is all you get on the landing page. Don’t let that fool you though. Its superpower is its simplicity and efficiency.
Once you upload an image, you’re presented with a few options. With very little effort in manipulating the options, I was able to achieve the below outcome. I didn’t take note of my specific settings, but it involved selecting a few new colours and increasing the number of available elements for each colour.
The results were a great first start. My next thought, however, was that if cartoon-like characters with simple colors were easy, I should try something a little more challenging.
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Besides cropping into a square frame up close, I did a bit of light editing to remove the background around his left shoulder and cowl area. Once I imported it, manipulation and fine-tuning for this image were a little bit more tricky. I wanted Batman’s insignia to retain its yellow bits, but as you can see, it didn’t quite turn out as such. This is where I felt that if I needed to complete the build, there would be some manual intervention and placement.
Once again, I was overall rather pleased with the results, knowing that with a 64×64 stud configuration, the outcome was something that could be built with sufficient details and shades.
Cropping and ensuring the right aspect ratio for stud count is all that’s needed. This one required no artwork manipulation before I uploaded it. Knowing how Mario turned out, I wasn’t quite sure about how the gradients would turn out.
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The outcome was decent overall. I had to add a few additional colours and piece count to get the final effect but I’m satisfied with the colour translations and consider it a job well done.

I admit I could have done a bit more tweaking on the colour palette, but I was satisfied with the results as I wanted to see how the algorithm would section out the various features. It processed the image quite well indeed. I think it would be suitable for a poster of a portrait with minor tweaks if you decided to make one of yourself.
N. After all, he’s the best of the lot and my favourite. I was having fun at this point just throwing images in to see what would work. Again, my selection of this piece was also with the premise of if I had to really hang it as a decorative piece. I needed something that has a cool factor.
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The results were not perfect, especially around the insignia, where I wanted the yellow parts to stand out a lot mor. There would also be some fixing needed with some red parts. With a few tweaks though, think I’d be ecstatic to have this done up proper as a mosaic for my wall.
Now that I’ve tried a few images, it’s time for the next step. Clicking on the “generate instructions” button creates a build guide almost instantaneously. The great value about this is that on the first page, it will tell you exactly how many pieces of each element are needed based on the colors you selected. Each 16×16 panel is thereafter displayed with each colour quantity required for that step. And the final part of the process is to just hit the Bricklink XML button to copy the parts you need to order via Bricklink.

Once again, what’s the big deal here? The things you see here are not something new at all, but I must say from all the various mosaic tools that I’ve used before, this is by far the simplest and easiest way to get to a final outcome that’s more than decent, especially since it’s paired with easy-to-follow instructions and relatively easy integration with Bricklink, the ordering process that most serious LEGO fans are familiar with.
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What’s important here is the secret sauce. Everything is done and coded within the page that you loaded, and there’s no backend application or server needed. We’ll leave some tips and tricks at the end of the article, but for now, we had to find out more about this from Deb, so we asked him a few questions.
Deb: I really liked the idea of Lego Art when it was released, since it reminded me of an assignment from my computer vision class back in college. I thought it would be cool if I could use some of that knowledge to help people create pictures without having to buy parts beyond what they may already own, mostly because it’s an interesting algorithmic problem. I realised that I could use a simplified variation of the algorithm of what was used in the original assignment, followed by a custom post-processing step (this is marked as step 4 on the website).
My favourite part of the project as it exists today is still how well the algorithm is able to run due to the pixelated nature of the images–I lucked out in a way that let me make the tool accessible for free to anyone who wants to give it a shot, without having to install any software. This is definitely one of my favourite weekend projects since it combines computing with human creativity in a way I didn’t think of when I started building it. The algorithm has limitations, and depending on the input image and the parts available, may not always work very well. Ultimately, the constraints of the medium is what makes Lego art beautiful, and the tool itself is not very useful without a human choosing an image, and helping the algorithm navigate the constraints in a creative way to make something amazing.

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Deb: Where I got lucky was that due to the nature of the problem, the resolution of the images I would have to deal with after the preprocessing step would be very low (you can only realistically achieve so much with Lego studs). This, alongside the way the postprocessing step scales meant that I would not have to worry as much about performance and that I would be able to run this directly in the browser.
Since no servers would have to be involved, and I was not dealing with a bunch of other complex infrastructure, the application itself took around 5 hours to build, and a few minutes to deploy. I put in a couple of hours some days later to address some feature requests, such as more resolutions and custom input creation.
TBB: Chris Doyle, our team member used it for his LEGO Wonder Woman mosaic. Did you see that, and what do you think of it?
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Deb: I just read the article, and it’s quite interesting, especially the part about applying the algorithm with different image filter parameters to different portions of the image–just goes to show that even with good tooling, the most important part is always the people building. The funny thing is that

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