Someone just built a local NSFW content filter using Luna (likely a local LLM) to auto-sort files. The workflow: scan a folder → let Luna judge if content is NSFW → move flagged files to a separate directory → generate a table listing moved files + reasoning for the NSFW classification.
This is a practical use case for on-device vision models—automated content moderation without cloud APIs. The interesting part is delegating the "is this NSFW?" logic entirely to the model and getting structured output (filename + explanation) in table format.
Use cases: personal media libraries, content pipelines for creators, or any scenario where you need automated NSFW detection with local inference. No external API calls = faster + privacy-preserving.
This is a practical use case for on-device vision models—automated content moderation without cloud APIs. The interesting part is delegating the "is this NSFW?" logic entirely to the model and getting structured output (filename + explanation) in table format.
Use cases: personal media libraries, content pipelines for creators, or any scenario where you need automated NSFW detection with local inference. No external API calls = faster + privacy-preserving.