Store confidence thresholds per tagger model so JoyTag no longer inherits WD tuning. Refresh the active threshold when switching models, guard stale threshold saves, and keep UI Lab mocks in sync.
Also tightens the onboarding model selector so the segmented control no longer stretches across the row.
Add WD and JoyTag selection to the Welcome Tour AI step so users can choose the model before downloading it.
Share tagger model metadata with Settings and keep the Settings close button anchored to the modal chrome.
Load the selected tagger model and model status during app startup so the lightbox AI tags action does not stay disabled until Settings refreshes the state.
Refresh readiness after tagger downloads complete and replace stale WD-specific unavailable copy with generic AI tagger wording.
Make the onboarding tour theme-aware across the app themes, add the first-run theme picker, and keep fake media previews on the dark media surface. Update light-mode secondary controls in onboarding, settings, dropdowns, toolbar controls, and duplicate actions so they no longer render as dark buttons on subtle-light.
- new StepUpdates: explains the title-bar update indicator with a mini
app-window mockup, and introduces the aperture mark as the app's identity
- move the tour-closing copy off the AI features step onto this final step
- changelog: note the title-bar update indicator + one-click install, and the
new onboarding step
Phase 6 release collateral:
- README: Installation (unsigned-build/SmartScreen note, requirements,
first-run downloads) and Privacy & local-first sections
- CHANGELOG.md seeded with the 0.1.0 feature set
- docs/release-notes-0.1.0.md draft for the GitHub Release body
Also corrects the CLIP model download size from ~330 MB to ~580 MB (the
actual model.safetensors is 577 MB) across the docs and the onboarding UI.
The 1.3 GB model.onnx downloaded via hf-hub's repo.get() and the ONNX
runtime DLLs via a read_to_end — neither reported bytes, so the user saw
only an indeterminate spinner on a multi-minute download.
- tagger model files now download via repo.download_with_progress with a
HubProgress adapter over hf-hub's Progress trait (throttled 200ms events
carrying downloaded/total bytes)
- captioner's nuget DLL download streams in 64 KB chunks, parsing
content-length, and reports per-chunk byte progress
- TaggerModelProgress carries downloaded_bytes/total_bytes; onboarding and
Settings show a determinate bar plus 'X MB / Y MB' for the current file
On a clean install the WD tagger download failed instantly: only the
(UI-removed) caption model prep ever downloaded the shared ONNX Runtime
DLLs, while ensure_onnx_runtime — despite its comment — only initializes
and errors when the DLL is absent. Worse, the OnceLock cached that error
for the whole session, and the onboarding step swallowed the message.
- new captioner::provision_onnx_runtime downloads missing DLLs; tagger
prep calls it before init
- ensure_onnx_runtime no longer caches failure (Mutex<bool>, success-only
latch) so a later download can recover in-session
- onboarding AI step now displays taggerModelError
Semantic search is part of the standard pipeline (CLIP auto-downloads on
first embedding batch), not opt-in — only AI tagging is. Reword the step
so 'optional' applies to what is actually optional. A true embedding
opt-out toggle is tracked as a follow-up.
Phase 5 of the 0.1.0 release prep:
- FFmpeg no longer blocks startup (or crashes the app offline): provisioning
runs in a background thread emitting throttled ffmpeg-progress events,
with installed/downloading/failed state queryable via get_ffmpeg_status
and a retry command
- video jobs are invisible to claiming and tier-priority checks until FFmpeg
is ready, so they wait as pending without failing — and without starving
image embeddings/tagging (include_videos gating in db.rs)
- 7-step show-don't-tell onboarding wizard: welcome + live FFmpeg progress,
real first-folder picker, faked animating pipeline bar, placeholder
gallery tiles, cycling search-syntax demo, views overview, and an AI
features step with a real opt-in tagger download
- skippable at every point (Escape included), persisted via
settings/onboarding_completed.txt, re-runnable from Settings > General,
which also gains an FFmpeg status/retry row
LyAhn