mirror of
https://github.com/invoke-ai/InvokeAI
synced 2026-03-12 18:00:19 +01:00
b0f7b555b7
* feat(z-image): add Z-Image Base (undistilled) model variant support - Add ZImageVariantType enum with 'turbo' and 'zbase' variants - Auto-detect variant on import via scheduler_config.json shift value (3.0=turbo, 6.0=zbase) - Add database migration to populate variant field for existing Z-Image models - Re-add LCM scheduler with variant-aware filtering (LCM hidden for zbase) - Auto-reset scheduler to Euler when switching to zbase model if LCM selected - Update frontend to show/hide LCM option based on model variant - Add toast notification when scheduler is auto-reset Z-Image Base models are undistilled and require more steps (28-50) with higher guidance (3.0-5.0), while Z-Image Turbo is distilled for ~8 steps with CFG 1.0. LCM scheduler only works with distilled (Turbo) models. * Chore ruff format * Chore fix windows path * feat(z-image): filter LoRAs by variant compatibility and warn on mismatch LoRA picker now hides Z-Image LoRAs with incompatible variants (e.g. ZBase LoRAs when using Turbo model). LoRAs without a variant are always shown. Backend loaders warn at runtime if a LoRA variant doesn't match the transformer variant. * Chore typegen --------- Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com> |
||
|---|---|---|
| .. | ||
| app | ||
| assets | ||
| backend | ||
| configs | ||
| frontend | ||
| invocation_api | ||
| version | ||
| __init__.py | ||