Subway Surfers AI Generated Gameplay

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Издатель
I trained a Flow match Model on Subway Surfers for gameplay


I like to test out types of AI/Neural Network Models, which normally are ones of either video, imagery, or sound.

These specific models I normally cover on is either DDPM, Flow Match, LoRa's, Video Models, and any other open source AI model I can get locally on my Pc, testing out what these things can do and see what unique kind of generations I can get out of it.

I do this by having a Vibe-coded python project provided to me, which allows me to train on whatever I want from scratch.

These models are not used for stable diffusion models or AI cloud servers, this is all ran locally by me, and I don't really have any other useful things for them besides generating some amalgamations to show off.


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If you want to try out these models, here are the currently used ones:

DDPM - https://github.com/dreamsartificial648-sketch/Diffusion-Model-Trainer

Oasis Game Trainer - https://github.com/dreamsartificial648-sketch/Oasis-Game-Trainer

Flow Match - https://github.com/dreamsartificial648-sketch/Flow-Matching-Training-Generating-image-video
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