Project Key Datapoints
"Fantastic Figures" is a collection of people, doing mundane things in bizarre surroundings, composed of cells and wrapped in webs. It is a mixture of fantasy and reality that is simultaneously strange and comforting.
Each NFT image is 4,000 pixels wide and 6,000 pixels tall with a resolution of 300 PPI (Pixels Per Inch). This large size makes them well-suited for display on TVs, computer monitors, digital picture frames, tablets, and of course phones. If printed at 300 DPI, they would be approximately 13 x 20 inches.
Each NFT has a rarity score between 1 and 100. It was calculated based on the selection chance of each visual effect used in the image, such as the composition, subject matter content, shapes, lines, and colors used. Each selection added points to a rarity tally used in the calculation. A rarity score of 1 represents the most common visual effects that were used. A rarity score of 100 represents the rarest visual effects were used.
I created this entire collection myself, without the use of AI (which is why it has taken me nearly two years to complete). These NFT artworks were programmatically generated using the Python programming language. I extensively used GenerativePy, a generative art library, so I would like to give thanks and credit to Martin McBride, the author of GenerativePy. Thanks Martin! Information about GenerativePy can be found at https://www.pythoninformer.com/generative-art/generativepy/. It can be downloaded at https://pypi.org/project/generativepy/.
Each NFT was created by transforming images of human silhouettes into colorful artworks. All of the images of people in my NFT artworks came from SVG files. Only SVG files that are public domain (free for commercial use) were used in the making of these NFTs. The SVG files can be found at:
To all of the creators of those SVG files, THANK YOU! To everyone else, I hope you enjoy my art!