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chore: merge to upstream - #25

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lstein wants to merge 6 commits into
lstein-masterfrom
lstein/merge-to-origin
Closed

lstein wants to merge 6 commits into
lstein-masterfrom
lstein/merge-to-origin

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@lstein

@lstein lstein commented Jan 13, 2026

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Summary

This merges upstream changes in main to lstein-master

lstein and others added 6 commits January 4, 2026 17:08
## Summary

This PR removes codeowners from the `/docs` directory, allowing any team
member with repo write permissions to review and approve PRs involving
documentation.

## Related Issues / Discussions

Documentation review is a shared responsibility.

## QA Instructions

None needed.

## Merge Plan

Simple merge.

## Checklist

- [X] _The PR has a short but descriptive title, suitable for a
changelog_
- [ ] _Tests added / updated (if applicable)_
- [ ] _❗Changes to a redux slice have a corresponding migration_
- [ ] _Documentation added / updated (if applicable)_
- [ ] _Updated `What's New` copy (if doing a release after this PR)_
…ion (invoke-ai#8753)

* feat(z-image): add Seed Variance Enhancer node and Linear UI integration

Add a new conditioning node for Z-Image models that injects seed-based
noise into text embeddings to increase visual variation between seeds.

Backend:
- New invocation: z_image_seed_variance_enhancer.py
- Parameters: strength (0-2), randomize_percent (1-100%), seed

Frontend:
- State management in paramsSlice with selectors and reducers
- UI components in SeedVariance/ folder with toggle and sliders
- Integration in GenerationSettingsAccordion (Advanced Options)
- Graph builder integration in buildZImageGraph.ts
- Metadata recall handlers for remix functionality
- Translations and tooltip descriptions

Based on: github.com/Pfannkuchensack/invokeai-z-image-seed-variance-enhancer

* chore: ruff and typegen fix

* chore: ruff and typegen fix

* Revise seedVarianceStrength explanation

Updated description for seedVarianceStrength.

* Update description for seedVarianceStrength

* fix(z-image): correct noise range comment from [-1, 1] to [-1, 1)

torch.rand() generates [0, 1), so the scaled range excludes 1.
@lstein

lstein commented Jan 13, 2026

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Not needed after all.

@lstein lstein closed this Jan 13, 2026
auto-merge was automatically disabled January 13, 2026 04:55

Pull request was closed

@lstein
lstein deleted the lstein/merge-to-origin branch January 13, 2026 04:55
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3 participants