Game jam review
What worked well
2D image creation
Controlling the design by variation / upgrading certain direction
What didn’t work well
3D mapping
UI assets not applicable to the scene without modification
Challenge / limitation
Measuring productivity
Hard to drag a meaningful quantitative data
Conclusion
Pivoted project focus more to involving gen ai into gameplay than pipeline
Game Design:
Used chatGPT to design the narrative of the gameplay, environment, and characters. Then we feed the result to Midjourney to visualize the result.
Art:
Used Midjourney niji5 to create image
Used Midjourney to create concept art
Projected the image on to our cat model
Filled in gaps that was missing from generated image, accommodating to the style
UI/UX:
Learned how to use blueprint to import user interface
Researched how generative AI could help in term of user interface design
Used Midjourney to design game user interface
Used Photoshop and Illustrator to edit the image
Created the environment by using models that are created by artists
Recorded every steps that used generative Ai in the game prototype
Programming:
Implemented a game demo with AI generated art assets
Researched about using Gen AI’s API in Unreal Engine
Designed the technical solution for the final game product
