I specialize in leveraging cutting-edge AI tools to create high-quality, visually compelling imagery. Since early 2022, I’ve been actively engaged in AI visualization, primarily utilizing Midjourney and Leonardo AI, alongside Adobe Creative Suite, ChatGPT, and Gemini, to drive innovative design solutions.
My work in AI image generation primarily supports game development. I collaborate closely with art teams, using AI to plan and define the visual direction for game themes and in-game assets. This involves generating diverse image concepts that capture the desired look and feel, ensuring they align with the project’s artistic vision and quality standards for optimal player satisfaction.
Beyond conceptualization, I also create template assets for various teams to integrate into their projects, including social media campaigns and in-game promotions. A critical aspect of my process involves meticulously refining AI-generated images to ensure they meet our game art quality standards. This often requires combining multiple subjects within a single image and carefully reviewing each output to achieve a realistic, non-AI-generated appearance, addressing common challenges associated with early AI image generation.
Using Midjourney and Leonardo alongside Adobe tools makes sense when the images feed into an actual production workflow instead of stopping at concept art. We are exploring the playable side of that workflow at OpenGame (https://opengame.app/), where prompts can become browser-ready game prototypes. I would be curious to hear how you keep characters and visual style consistent across a larger set of scenes.
It’s interesting how much of the value in AI visualization seems to come after generation rather than during it. The point about combining multiple subjects and reviewing each output until it looks convincingly non-AI suggests the tools handle ideation well but still rely on trained judgment to cross the quality bar for game art.
The distinction between concept generation and production-ready game art is important. In our testing, a useful workflow has been to lock the art direction with a small reference set first, then evaluate identity, palette, silhouette, and prop consistency separately before compositing multiple subjects. That makes refinement more measurable than simply adding more detail to the prompt.
Disclosure: I work on PhotoArtify; the website field links to our multi-model image workflow. Do you maintain a written style specification for each game project, or rely mainly on reference images when moving between Midjourney, Leonardo, and Adobe tools?
Your point about creating template assets for other teams raises an interesting handoff issue: the image alone may not explain which decisions are fixed and which can change. A short note on intended use, safe cropping, lighting and details that need manual checking could make those assets easier to reuse across in-game promotions and social posts. I work on LOVIMG (https://lovimg.com/), an image-prompt library with visual examples. Pairing a prompt with an example is useful for communicating a direction, but your refinement and compositing stage is a good reminder that the final asset still needs an artist’s judgment.
Your point about combining AI exploration with manual refinement matters for game assets. One useful review step is to place candidate artwork inside the actual promotion template before approving it: a detailed concept may become unreadable when reduced to a small mobile card. I would check silhouette, focal point, and space reserved for the offer text together. I’m Elara from EaseGen, which offers browser-based image and video generation. Those layout constraints can be written into the initial brief so the generated options are easier to use downstream.
Great insights! One challenge I’ve noticed with AI-generated visuals is maintaining consistent characters, lighting, and art direction across multiple scenes. Using reference images and reusable templates can make a big difference. Do you have a preferred workflow for keeping that consistency?