Who it is forA creator or developer who wants text-to-image output on a laptop without a cloud image service.
The problemImage generation models usually need a Python stack and a dedicated GPU.
The outcomeA generated image file cached beside the checkpoint, produced by a single command.
What you need first
- Go toolchain (Go 1.26 or 1.27 is needed only for the GOEXPERIMENT=simd build)
- git to clone the repository
- Disk space for model checkpoints when using the image, audio, or embedding commands
Steps
- Clone the repository and build or install the Tensai command from its root. (inferred, check the README)
- Make sure enough disk space is free for the checkpoint, which the README sizes at 7GB at eight bits or 3.5GB at four bits.
- Run
tensai image "a calico cat asleep on a stack of books" - Open the cached result and confirm it shows the requested subject.
Prompt for your agent
In the mattn/tensai repository, run tensai image with the prompt "a calico cat asleep on a stack of books". Report the output file path and the elapsed time. Verify that the image file exists and that the run took under four minutes on a laptop-class machine, as the README claims.
Caveat. The README timing of under four minutes for a 256x256 picture is a claim about a laptop, so actual speed will depend on the machine and the checkpoint download.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for mattn/tensai and "Generate images locally with Tensai image"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
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