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name: mflux-testing description: Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

mflux testing

This repo uses pytest with image-producing tests. Always preserve outputs for inspection and never update reference images unless explicitly asked.

When to Use

• You need to run tests (fast/slow/full) or debug failing tests.
• There are image/golden mismatches and you need to report paths/output for review.

Instructions

• Prefer the existing Cursor commands:
  • /test-fast (fast tests, no image generation)
  • /test-slow (slow tests, image generation)
  • /test (full suite)
• Always keep MFLUX_PRESERVE_TEST_OUTPUT=1 on test runs (already built into the commands).
• If tests fail:
  • Summarize the failing test names and the key assertion output.
  • Point to any generated images/artifacts on disk for manual review.
• Do not regenerate/replace reference (“golden”) images unless the user explicitly requests it.

Manual validation (config resolution + local model paths)

Use when a change touches model config resolution, mflux-save, or the model’s generate CLI, or when a PR fixes local model-path handling for the model under investigation. Refer to the mflux-cli skill to find the correct generate command for the model you are testing.

• Run a local-path quantize/save:
  • Use the mflux-cli skill to look up the correct command and flags.
  • Verify CLI usage with the command’s --help before running it.
  • Save to a known location (e.g., Desktop) to make follow-up steps explicit.
• Run generation from the saved model using the correct model-specific generate CLI:
  • Use the mflux-cli skill to find the generate command and required flags.
  • Verify CLI usage with the command’s --help before running it.
• If the model has multiple size variants, repeat the above for each variant to confirm the correct overrides are applied.
• Do not commit output artifacts; delete or leave them untracked.