Docs described the pre-#67 suite: a removed standalone LCM converter
node, a removed model_version input, a nonexistent
CoreMLDetailerHookProvider node, and a deleted lcm/converter.py file.
- drop LCM converter node docs; LCM checkpoints are auto-detected by
the consolidated CoreMLConverter
- remove model_version input and invented 512-768 resolution range
- replace phantom detailer-hook fix with real workarounds
- fix Python support claim (3.12+ per requires-python)
- update LCM support-matrix row, drop stale line reference
Refs #67, #68
Rewrite the README as a lean landing page and move depth into a docs/
folder. Correct the supported-model story and several stale facts, and
answer the recurring questions from issue #21.
- Convert-only is the supported path: suite-converted .mlpackage is the
only supported input; drop coreml-community download guidance.
- Remove all .mlmodelc / Xcode references — compilation was dropped and
the loader handles .mlpackage only.
- Fix compute-unit name (CPU_AND_NE, not CPU_AND_ANE) and the loader
input name (coreml_name).
- Document CoreMLSamplerAdvanced (previously undocumented).
- Add docs/: hardware, nodes, conversion, workflows, faq,
troubleshooting, limitations (with a support matrix).
- Note conversion now lives in the coreml-diffusion package.
- Remove dev scaffolding specs; ignore *.log, .DS_Store, .claude/.
aszc-dev