Flux and Stable Diffusion have different strengths and usually different tooling; here they are two tools with the same parameter set, so a fast draft and a detailed final render are one word apart. Everything runs locally against a compiled runtime, which is why it works on modest hardware — and why the first run is a real download.
A local image generator exposed as an MCP server. It drives a compiled C++ Stable Diffusion runtime rather than a Python pipeline, and covers both the Flux family and the Stable Diffusion family behind one interface.
- Images generated with Stable Diffusion models, SDXL among them (generate_stable_diffusion_image)
- Images generated with the Flux models, which are tuned for fast drafts (generate_flux_image)
- Control over dimensions, sampling steps, guidance scale, seed and sampling method on every call
- Negative prompts on the Stable Diffusion side, where the models support them
- Generation from a plain sentence in the editor chat, with parameters named inline
- The same engine reachable from the command line and through a separate REST interface, for use outside MCP
- Generated files written to an output directory you configure, with the path returned to the caller
A local build of the stable-diffusion.cpp runtime and the model weights downloaded — the setup script does both, interactively. Python, and a GPU if you want it fast; it runs on modest hardware without one. Configuration lives in a single JSON file you copy into your editor's MCP settings.