Route non-interactive library messages through loggers

[wunianze666-netizen]

This consolidates the non-interactive library messages approved in #14479 into one change.

What changed

• Route VectorQuantizer remap initialization details through its module logger at INFO.
• Route Wan Animate conditioning-resize messages through its existing module logger at WARNING.
• Route ignored-argument messages from both LongCat image positional-ID helpers through their existing module loggers at WARNING.
• Add focused regression tests that assert the logger name, level, and message while also verifying that stdout remains clean.

The message text is preserved where practical. The LongCat Warning: prefix is omitted because the log record now carries the warning severity.

Fixes #14479.

Validation

The focused tests were written first and reproduced the issue as 6 failures: the expected log records were absent and the original text appeared on stdout. After the implementation:

• 6 passed — focused regression tests across VQ, Wan Animate, and LongCat
• 19 passed, 31 skipped — tests/models/autoencoders/test_models_vq.py
• 18 passed, 16 skipped — tests/pipelines/wan/test_wan_animate.py
• 4 passed — tests/pipelines/longcat_image/test_prepare_pos_ids.py
• ruff check and ruff format --check passed for all 7 changed files
• compileall and git diff --check passed

The repository-wide utils/check_copies.py currently reports pre-existing inconsistencies outside this change. Filtering its output for longcat_image produced no matches, so this PR does not introduce a copied-function inconsistency.

AI-assisted contribution

I used Codex to help audit the print sites, implement the changes, and write tests. I read the Coding with AI agents guide, contributor guide, philosophy document, and the relevant model, pipeline, testing, and code-style references.

Final self-review

• Blocking issues: none.
• Non-blocking issues: none.
• Dead code: none. Each changed path is exercised by a focused regression test and remains reachable through the existing library API.
• Fix before submitting: none.
• Leave for the actual review: none.
• Verdict: READY.

Before submitting

• Used an AI agent and disclosed it.
• Read the Coding with AI agents guide.
• Ran the self-review skill and included the final report.
• Read the contributor guideline and philosophy doc.
• Discussed and received approval in Coordinate non-interactive library messages through the project logger #14479.
• Added focused regression tests.
• Documentation impact reviewed; no user-facing API or documentation update is needed.
• Model/pipeline authorship (not applicable; this is a logging behavior fix).

cc @DN6

[HuggingFaceDocBuilderDev]

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