Some cast/dtype fixes for the birefnet and dino3 models.

[comfyanonymous]

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[coderabbitai]

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Reviewing files that changed from the base of the PR and between fb8d936 and 53b5a77.

📒 Files selected for processing (1)

• comfy/clip_vision.py

💤 Files with no reviewable changes (1)

• comfy/clip_vision.py

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📝 Walkthrough

Walkthrough

This PR removes explicit dtype casts for DINOv3 image inputs: DINOv3ViTEmbeddings and DINOv3ViTModel no longer coerce pixel_values to the patch conv weight dtype, and ClipVisionModel.init no longer overrides dtype to bfloat16 for DINOv3. Separately, WindowAttention.forward in BiRefNet now casts the permuted relative positional bias with comfy.ops.cast_to_input before adding it to attention logits.

🚥 Pre-merge checks | ✅ 3 | ❌ 2

❌ Failed checks (1 warning, 1 inconclusive)

Check name	Status	Explanation	Resolution
Docstring Coverage	⚠️ Warning	Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%.	Write docstrings for the functions missing them to satisfy the coverage threshold.
Description check	❓ Inconclusive	No description was provided by the author, making it impossible to assess relevance to the changeset.	Add a pull request description explaining the purpose and context of the dtype/casting fixes.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately summarizes the main changes: dtype/casting fixes across birefnet and dino3 models.
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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