The Year of the Snake | Vol 2 Issue 3

Hello and welcome to another issue of venezArt Magazine! I am excited that you are here and greatly appreciate you taking the time to read. In this issue, we will take a deeper look at the Generative AI app Meshy.AI, a fantastic tool for generating 3D models through AI.

We are also adding a new section to the magazine to showcase characters and 3D models created by venezArt Dev Studio. Soon, we will open the magazine to other artists to collaborate, participate in events, and enter competitions. To kick things off, we will be delving into a Sci-Fi character called Naga Patala, exploring this amazing character’s profile and history.

I am particularly excited about the article related to Survival Island, venezArt Dev Studio’s first Fortnite Island, and the launch of venezArt’s game site. Don’t hesitate to sign up for our online game testing opportunities. This new year brings a wealth of technological innovations and opportunities for entrepreneurs.

As we move forward, I would like to highlight a significant hurdle in the art industry: the adaptation of generative AI and integrating this technology into our current workflows. Just like other industries, we are all trying to figure out how to implement it effectively. I believe this is a great time for artists and content creators. Generative AI can greatly benefit indie and solo developers by expediting the concept process and assisting with routine tasks such as research, idea generation, post-processing, and much more.

So what should we call it? AI Art? Synthography? Or what I’ve started calling it: Prompt Generated Imagery (PGI), much like CGI? I’m not entirely sure if they are the same, as both fall under the umbrella of computer-generated content. For now, I will stick with PGI.

The Relationship Between PGI and CGI

• CGI (Computer-Generated Imagery): This term broadly refers to images created using computers, encompassing everything from 3D models and animations in films to VFX and video game graphics.
• PGI (Prompt Generative Imagery): If adopted, this would specifically denote imagery created through generative AI systems via text-based prompts. It’s a subset of CGI but distinct in its approach, focusing on the use of AI and natural language prompts to generate visuals.

So while PGI could fall under the umbrella of CGI, it deserves its own label because:

• The process (using natural language prompts and AI models) is unique.
• The tools (e.g., MidJourney, DALL·E, Stable Diffusion) differ from traditional CGI software like Blender or Maya.
• The creative control is shifted, with AI models interpreting human intent rather than direct manipulation by the creator.

2. Why “Prompt Generative Imagery” (PGI) Makes Sense

• Clarity: The term directly conveys the methodology—using prompts to generate imagery.
• Distinct Identity: It differentiates generative AI from other forms of CGI, such as those used in movies or games, which rely on manual modeling, animation, and rendering.
• Ease of Adoption: “PGI” is short, memorable, and descriptive, making it easy for the community to embrace.

3. Synthography vs. PGI

• Synthography: This term is gaining traction as a broad label for AI-generated imagery, often used in contexts resembling photography. My point about reserving it for AI-driven photography makes sense because it aligns with the idea of synthesizing “photographic” results from AI.
• PGI: This term can cover a wider scope of AI-generated visuals beyond photorealistic outputs, including abstract art, fantasy illustrations, and surreal creations.

4. Should PGI Be Its Own Category?

Yes, it can and arguably should be its own category. Here’s why:

• New Paradigm: Generative AI fundamentally changes how visuals are created. It relies on machine learning models trained on vast datasets, a methodology distinct from traditional CGI.
• Community Recognition: Having a unique label like PGI helps build a clear identity for the practice, fostering a sense of community and shared understanding among creators.

Conclusion

PGI is a strong contender for a new label that highlights the unique nature of generative AI-driven visuals. While it can technically be considered a subset of CGI, its distinct methodology and tools justify treating it as its own category. This approach aligns with the way other terms like “Synthography” and “AI Art” have carved out niches for specific uses of generative AI.

Let me know what you think…
Thank you,
Ruy