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* 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.