My AI illustration contest had four runner-ups. Runner-up #1 (in order of presentation, not rank) is Pakistani artist @SaniyaSuriya. Here are her winning pages:
How did she combine AI and human skill to produce the pages? Her words:
I use Leonardo.Ai
https://app.leonardo.ai/
Midjourney, BlueWillow, Clipdrop, Canva, Bing app
I have tried different prompts: "A comic strip layout akin to Bryan Caplan work, presenting a series of panels that sequentially depict the setting up of a scene verona Italy, close-up shots bridge and wide shots, highly intricate and hyperdetailed, Greg Rutkowski, Sakiyama, comic art, long exposure, 3d shading, cool color grading, cinematic." "In Verona bridge very beautiful night view two people jumping off the bridge and drowning, water splashes, bright colors, 8k" "Verona city in Italy very beautiful dark night view, bright colors, highly detailed, 8k" "Verona Italy street over the Bridge with engraved columns 2d interior dungeon game background :: artwork by Jean Giraud Moebius, SABLE, Ultraviolet Grasslands, Ligne Claire, Tintin, Arzach, Maxfield Parrish and Mike Mignola; masterful, intricate, extremely detailed, bright colors, trending on artstation" Setting: Style:Comic Book, Aspect ratio: Landscape(3:2)
Input: I work with AI-generated art often and encounter several challenges such as unpredictable and sometimes unexpected results from AI algorithms, which make it challenging to connect with the audience on a deep level. Achieving the right balance between human creativity and AI assistance is tricky. Striking a balance between creating unique pieces and reproducing AI-generated art is complex. That's why I use Photoshop, Canva, and other mobile phone applications to fix mistakes. For example, I remove unwanted objects and watermarks, and I add elements and combine images using Canva.
Despite these challenges, AI offers new avenues for experimentation, collaboration, and creativity, allowing me to explore innovative ways of creating art. Artists need to learn and understand the technical aspects of AI and machine learning, which can be intimidating if they are not familiar with these fields.
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Caplan and Candor