Training a pixel-art image gen model with synthetic data and RL via Decisions API
Angaisb_ · x · 2026-10-12
Developer Angaisb is attempting to train a functional image generation model from scratch, using synthetic 16x16 pixel-art datasets and the Decisions API for RL. The attached diagram explains the loop: the diffusion model generates sprites from a prompt, outputs get reward scores (e.g., "red chest" matching at 90%), and the probability of highly rated outputs is increased, then repeat. A accessible recipe for RL-tuning small image generators.
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