[r/LocalLLaMA]score: 0.17

0.5B transformer runs image-to-playable-game inference locally on RTX 5090

June 20, 2026

A 0.5B causal transformer trained from scratch converts images into interactive, playable game simulations at real-time frame rates on consumer hardware, using KV caching for autoregressive decoding with live keyboard input. Current output has notable motion artifacts and context issues; a 0.8B follow-up is in training.

HOW THIS AFFECTS YOU

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builderEarly-stage and artifact-prone, but the local inference angle on consumer GPUs is worth tracking if the 0.8B iteration improves quality.

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researcherThe KV-cache autoregressive framing for real-time game simulation on sub-1B models is an interesting architecture direction, though no formal benchmarks or training details are published yet.

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