Running AI Image Generation Near Zero Cost on a 2 GB Single-Core Server
The author ran an image pipeline on a 1 vCPU, 2 GB RAM VPS without a GPU and kept costs low mainly by avoiding wasted work. A ledger file tracks submitted assets so re-runs only process what is missing, preventing duplicate uploads and needless regeneration. A metadata script writes the exact CSV header each stock platform requires, since mismatched formats get rejected instantly. To manage limited memory, the author processes one job at a time, frees memory between items, measures peak RSS, and renders heavy steps in child processes. Final files are bundled with generated covers and thumbnails before submission.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

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