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Show HN: Local text, image, video, music and 3D from one CLI, no Python

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Why This Matters

mere.run introduces a comprehensive local inference runtime that consolidates multiple AI capabilities—such as image, text, speech, video, and 3D processing—into a single CLI for Apple Silicon and Linux. This development empowers users to perform complex AI tasks entirely offline, enhancing privacy, reducing latency, and streamlining workflows for developers and creators alike.

Key Takeaways

mere.run · Docs · Downloads · Relay + Nodes · Plugins · swift build

mere.run is a local-first inference runtime for Apple Silicon and headless Linux. One public CLI covers image, text, speech, vision, music, sound, video, 3D, worlds, training, and local API serving. The optional macOS Studio uses that same CLI, model store, and run history rather than a separate backend.

One real terminal session on an M4 Max — chat, image, grounding, image→3D, SFX, music, speech round-trip, video, API serving, and a typed workflow graph. Everything local.

Start here

Install a signed release from mere.run/downloads, then let the CLI inspect the machine before pulling a large model:

mere.run setup mere.run model capabilities --recommended mere.run guide --list

For a small first image workflow:

mere.run model pull image-zimage-nano mere.run image generate \ --model image-zimage-nano \ --prompt " a ceramic mug in soft morning light " \ --output ./mug.png

Use mere.run guide <command path> for the packaged offline cookbook behind a creative or model-specific command, and mere.run <group> --help for the exact current flags.

What works today

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