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
Switching search modes briefly showed the next demo's result images because
the results container stayed mounted and faded its opacity down from the
previous demo's visible state. Key it by demoIndex so it remounts fresh at
opacity-0 and only fades in once the new query finishes typing.
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.
Replace the two near-identical pale ocean sunsets with three distinct
'golden sunset over water' stills — a vivid coastal sunset, a soft golden
ocean, and a golden alpine lake — so the /s demo shows a convincing,
varied result set. Drops the redundant sunset2 asset.
- search demo results were greyed-but-visible while the query was still
typing, as if the app pre-knew the search; they're now invisible (space
reserved, no layout jump) and fade in only once typing completes
- gallery preview dropped from 3 rows to 2 so the 'Click any tile' explainer
text is visible without scrolling
Two refinements from testing:
- the gallery-reveal, pipeline-drain, and search-typing animations looped
forever; they now play once and stop, with a Replay button to re-run
- the search demo's result tiles didn't match the queries. Now: a filename
search returns one exact file, '/s golden sunset over water' shows only
ocean-sunset stills (added a second), and '/t landscape' shows the three
actual landscapes (valleys + alpine lake), not a foggy forest
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
Swap the fake gallery tiles' gradient stand-ins for 13 rights-clean
generated WebP stills (512px, ~25 KB each). Search demo now returns
thematically matched results — beach/dunes for the filename query, sunset
and water for /s, landscapes for /t — so the show-don't-tell steps look
like a real library. tileGradient retained for the abstract Explore and
Timeline mini-previews.
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