Make more intermediate values follow the intermediate dtype.

[comfyanonymous]

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📥 Commits

Reviewing files that changed from the base of the PR and between b67ed2a and 1f314af.

📒 Files selected for processing (2)

• comfy/sample.py
• comfy/sd1_clip.py

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📝 Walkthrough

Walkthrough

The changes add explicit data type parameters to tensor transfer operations across two files. In comfy/sample.py, the .to() calls on samples have been updated to include a dtype parameter alongside the device parameter. Similarly, in comfy/sd1_clip.py, all .to() calls in the encode_token_weights function now specify both device and dtype parameters during tensor transfers. These modifications ensure consistent intermediate tensor data type handling without altering function signatures or public APIs.

🚥 Pre-merge checks | ✅ 1 | ❌ 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 pull request description was provided by the author, making it impossible to assess relevance to the changeset.	Add a description explaining the motivation and impact of enforcing intermediate dtype specifications across these modules.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately describes the main change: adding explicit dtype parameter to intermediate value transfers in sample.py and sd1_clip.py.

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