Fix int8 loras causing lower quality requant with wrong settings.

[comfyanonymous]

No description provided.

[socket-security]

Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	pypi/​comfy-kitchen@​0.2.12 ⏵ 0.2.13	+1

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📥 Commits

Reviewing files that changed from the base of the PR and between 7cb784e and 43dc208.

📒 Files selected for processing (2)

• comfy/ops.py
• requirements.txt

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📝 Walkthrough

Walkthrough

comfy/ops.py now requantizes existing quantized tensor instances in post_cast and MixedPrecisionOps.Linear.set_weight instead of creating new QuantizedTensor objects from float. Both paths use scale="recalculate" and seeded stochastic_rounding. requirements.txt updates comfy-kitchen from 0.2.12 to 0.2.13.

🚥 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 pull request description was provided, so there is no meaningful description to evaluate.	Add a brief description of the change and why the requantization logic was adjusted.

✅ Passed checks (3 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title accurately summarizes the main fix for int8 LoRA requantization quality.
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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