8888 Panda, 7 keys to FINALLY understanding NFT, Blockchain and Metavers

The days go by. Discord is coming to life, the number of subscribers is increasing. I check the stats every morning and the community takes shape, comes to life. Trade is on the rise.

But if this dual community aspect is at the heart of the project, we must not lose sight of the product itself. Our 8,888 pandas are certainly algorithmically generated digital objects, but they are nevertheless unique and must undergo a process of creation. Who says that creation says human: machines do not create, they are content to apply rules and calculations. In parallel to the work on the community, we are therefore working on the most stimulating, fundamental and complex phase: the creation of the traits of our 8,888 NFTs. All this work is part of what I used to call “artistic direction”. It’s time I showed you the behind the scenes.

So how do you go from a model Ana designed in minutes to 8,888 perfect animal portraits? Ana won’t do 8,888 designs, no. She might have a nice stroke of a pencil, it’s not Flash Gordon. NFT collections are much finer. Here, we mix the click and the charcoal, the algorithm and the paper, the math and the paint.

Let’s start with the first panda model, as you know it. We will divide it into several parts, each of which can be divided into different variations. So let’s count the hat, ears, eyes, mouth, clothes, skin color and background of the drawing. All these elements, we will vary them. The face, especially the nose and the folds, will be the same for everyone. This will be the visual identity of the Panda Family. Each panda will have the same pose, facing slightly to the left. Recognizable among all. All these “pieces” of pandas constitute “classes of characteristics”, categories within which we will create different versions to decline different “characteristics”, which could be summarized as accessories.

For the category (or class of traits) “hat”, for example, you can choose a cap, a cap, a straw hat, a Napoleon hat, a helmet … We have fun inventing as many as we want. For the background, we can create mountains, beach, planets, space, etc. You get the idea … Then comes the question of how much should we put?

The number of strokes per stroke class directly induces collection variability. It is easy to understand that if you choose just one hat, all the pandas will have the same … The more you wear, the more different they will be and the more original the collection will be. But then where to stop? I could create infinite ones! I have no idea … I ask Y on Telegram, during one of our conversations. According to him, to be useful a collection must have a minimum of 150 characters. Below is amateur work. For 200 we are on an acceptable average. But we have little time: we go to 200.

We have defined 7 categories. This means that we must therefore invent 30 traits per class of traits, to arrive at 30 × 7 = 210 traits … Are you following me?

Leave a Comment