// Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features.
Debug MLX ports by comparing against a PyTorch/diffusers reference via exported tensors/images (export-then-compare).
Set up and work in the mflux dev environment (arm64 expectation, uv, Makefile targets, lint/format/test).
Manually validate mflux CLIs by exercising the changed paths and reviewing output images/artifacts.
Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.
Make a clean PR in mflux (inspect diff, quick verification, commit, push, open PR) using repo conventions.
Prepare a release in mflux (version bump, changelog, contributors, uv lock) without tagging/publishing. Use when preparing a release branch or release PR.
| name | mflux-cli |
| description | Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features. |
Use this skill to inventory CLI capabilities, summarize what the CLI supports, and guide where to look for commands without relying on brittle file paths. Because README examples can drift, prefer verifying support against the current CLI entrypoints.
MODEL_INFERENCE_STEPS and use the model's default/recommended step count unless the user explicitly asks for a different value. This is especially important for distilled/non-base variants (for example fibo-lite, z-image-turbo, and other *-turbo/*-lite models), where using full/base-model step counts is usually counterproductive.--low-ram to reduce memory usage and --stepwise-image-output-dir for stepwise outputs when useful.