Fix sampling issue with fp16 intermediates.

[comfyanonymous]

No description provided.

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📥 Commits

Reviewing files that changed from the base of the PR and between 7169a21 and b5ec6ed.

📒 Files selected for processing (1)

• comfy/samplers.py

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

• comfy/samplers.py

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📝 Walkthrough

Walkthrough

This PR makes explicit dtype conversions in comfy/samplers.py: CFGGuider.outer_sample now casts noise and latent_image to torch.float32 when moving them to device, and CFGGuider.sample converts the derived/unpacked denoise_mask to floating point via .float(). Control flow and public signatures remain unchanged; no other behavioral changes were introduced.

🚥 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 description was provided by the author, making it impossible to assess relevance to the changeset.	Add a pull request description explaining the issue being fixed and why the dtype conversions resolve it.

✅ Passed checks (1 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately describes the main change: explicit dtype conversions to fp32 and float to fix sampling issues with fp16 intermediates.

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