feat(z-image): add Seed Variance Enhancer node and Linear UI integration #8753
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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
Pfannkuchensack
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JPPhoto,
blessedcoolant,
dunkeroni and
lstein
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JPPhoto
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Jan 10, 2026
JPPhoto
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Jan 10, 2026
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Python code looks good. Need to get reviews from frontend prior to merging.
lstein
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I've been functionally testing this for the past few days and it seems to do the job. My only comment concerns the wording of the noise strength popup.
Updated description for seedVarianceStrength.
JPPhoto
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Jan 11, 2026
torch.rand() generates [0, 1), so the scaled range excludes 1.
…ub.com/Pfannkuchensack/InvokeAI into feature/z-image-seed-variance-enhancer
JPPhoto
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Jan 12, 2026
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Summary
Add a new conditioning node for Z-Image models that injects seed-based noise into text embeddings to increase visual variation between seeds.
Z-Image-Turbo can produce relatively similar images with different seeds, making it harder to explore variations of a prompt. This feature implements reproducible, seed-based noise injection into text embeddings to increase visual variation while maintaining reproducibility.
Backend:
z_image_seed_variance_enhancer.pystrength(0-2),randomize_percent(1-100%),seedFrontend:
paramsSlicewith selectors and reducersSeedVariance/folder with toggle and slidersbuildZImageGraph.tsBased on: https://github.com/Pfannkuchensack/invokeai-z-image-seed-variance-enhancer
Related Issues / Discussions
Integrates community node as core feature for Z-Image models.
QA Instructions
Workflow Editor:
Merge Plan
No special merge requirements. Schema will be auto-generated on backend start.
Checklist
What's Newcopy (if doing a release after this PR)