Unreal 5 WIP

In Panamerix, I am acting as a solo 'maker' to build a narrative motorsports experience. I used UE5 for the spatial environment and Blender for asset engineering. To ensure brand cohesion, I utilized Adobe Firefly and Nano Banana for environmental signage. Most importantly, I integrated a custom AI pipeline using Gemini for narrative framework and ComfyUI for livery design to act as my creative collaborator. This allowed me to own the vision from concept to high-fidelity execution, which is exactly how I approach complex client projects.

AI R&D for an Artist Workflow with an internal AI database

This was my first session of images after I spent a few weeks setting up my internal database. My LoRAs has my internal database of images to learn from and I had them working through Comfy UI. You can see that while they are in an old area, these cars are very generic and not japanese despite my mentions in the prompts for JDM rally cars with meso american accents.

After doing some R&D I discovered that I didnt have enough images in my database for my internal AI to learn from. I added more. While the spatial quality and livery proportions wer emore what i wanted, it was still ignoring my meso american asks.

Here I am using very desciptive prompts about meso american eagles on doors. You can see the art is nice, it is thinking. However it is missing a few things. I went back to the beginning and decided to look over all the text base learning prompts given to my images by the system.

Here is where I had my first breakthrough. Its learning!!! I had to go back throgh my internal database and create a language for livery spatial awareness and educate it on meso american art.

The next step is to have images that look like real images and not AI slop. Something I can use. I have started looking at 3rd step workflows to polish blockout liveries. This is still a WIP