Fix MoGe antialiased interpolation for half precision

[holys519]

Summary

• Add a small wrapper for antialiased interpolation that upcasts float16/bfloat16 tensors to float32 before resizing, then casts back.
• Use it in the MoGe resize paths that call F.interpolate(..., antialias=True).

Motivation

PyTorch does not implement antialiased interpolation for float16/bfloat16 tensors on some backends, which can raise NotImplementedError: "compute_index_ranges_weights" not implemented for 'Half' or BFloat16.

Testing

• git diff --check
• Verified _interpolate_antialias_safe with float16, bfloat16, and float32 tensors using the local .venv and --cpu.

[coderabbitai]

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📥 Commits

Reviewing files that changed from the base of the PR and between ee847d4 and 2e9d624.

📒 Files selected for processing (1)

• comfy/ldm/moge/modules.py

🚧 Files skipped from review as they are similar to previous changes (1)

• comfy/ldm/moge/modules.py

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📝 Walkthrough

Walkthrough

This PR adds _interpolate_antialias_safe in comfy/ldm/moge/modules.py, which casts half-precision inputs to float32 for antialiased interpolation and casts back afterward. DINOv2Encoder.forward now uses this helper for image_14 resizing. MoGeModelV1.forward also switches its input-image resize step to the same helper, while keeping the existing resize settings and later bilinear resize path.

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 50.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly summarizes the main change: fixing MoGe antialiased interpolation for half precision.
Description check	✅ Passed	The description matches the changes by describing the safe antialiased interpolation wrapper and its use in MoGe paths.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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