Restructures a reel around beats — one narration line over one or more
photos — instead of one line per photo. A single-photo beat is a held
shot; a multi-photo beat is a quick burst that flashes through several
moments of an event while the line is read. So a week/month reel can show
everything it spans without a narrated (and timed) segment per photo.
Selection (selector.rs):
- Duration budget: cap the number of narrated beats to ~REEL_TARGET_SECONDS
(default 90, env-tunable) so week/month reels don't run minutes long.
- Event clustering by time gap; when there are more events than the beat
budget, adjacent events merge so the whole span stays covered. Each beat
bursts up to MAX_BURST_PHOTOS (an even spread), so a 40-shot dinner
contributes a handful of quick frames, not forty narrated seconds.
Render (render.rs): a beat renders its photos as a concat of per-photo
fills (blurred-bg portrait, fps-before-fade) under one muxed narration;
burst photos get a snappier fade. beat_durations splits the narration
across the photos, stretching only if a long burst would flash too fast.
Adds high-level info logs across the steps (request → script → per-beat
narrate/render → join → done with elapsed) for visibility. Bumps
RENDER_VERSION to re-render cached reels.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The fade looked steppy/low-frame-rate because the filtergraph normalized
fps AFTER the fade filters: the brightness ramp was sampled at the looped
still's coarse input cadence, then duplicated up to 30fps. Move fps ahead
of the fades, pin the still's input framerate (-framerate), and force CFR
output (-r) so the dip ramps across a full 30 frames and plays steadily.
Ease narration expressiveness from 0.7 to 0.6 (still tunable via
REEL_TTS_EXAGGERATION). Bump RENDER_VERSION so existing reels re-render.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Fixes the "image is tiny" problem: a 1920x1080 landscape reel letterboxes
to a ~25%-height band on a portrait phone. Switch to a portrait 1080x1920
canvas and fill it per photo with a blurred, zoomed copy of the image
behind the sharp fitted photo — so the frame is always full regardless of
the photo's orientation, with no black bars and no cropping of the subject.
Add a quick 0.35s fade in/out baked into each segment so concatenated
photos dip smoothly instead of hard-cutting (fade-out lands in the
narration's silent tail, so speech isn't clipped). Drop the unused
Ken Burns branch — motion can return deliberately later.
Warm up the narration a touch: thread Chatterbox's `exaggeration` through
synthesize_serialized and default reels to 0.7 (tunable via
REEL_TTS_EXAGGERATION). Bump RENDER_VERSION so existing landscape reels
re-render.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The concat stage wrote to <key>.mp4.tmp (for an atomic publish-rename),
but ffmpeg infers the muxer from the output extension and can't map
.tmp to a format — "Unable to choose an output format". Force the mp4
muxer explicitly so the temp extension is irrelevant. Segment render,
NVENC, TTS, and scripting were already working end-to-end; this was the
only failure, at the final join.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
New POST /reels + GET /reels/{id} (+ /video) build an MP4 slideshow of a
memory span (day/week/month), narrated by the LLM in a cloned voice.
Pipeline (src/reels/): a selector resolves which photos + reel metadata,
the scripter writes one narration line per photo via a single LLM call
(reusing each photo's cached insight as context — no fresh vision calls,
so reel generation stays off the GPU's vision slot), each line is
synthesized to speech, and the renderer assembles stills + narration via
ffmpeg. Jobs run in the background (mirroring the TTS speech-job
registry) since a reel takes minutes; the finished MP4 is cached on disk
keyed by the selection so a repeat request is instant.
The segment model is media-typed (Photo today) so a video-clip segment
(phase 2) and a nightly pre-render (phase 3) slot in without reworking
the pipeline. Ken Burns motion is implemented but defaulted off pending a
visual check on the GPU box.
Supporting changes:
- memories: extract gather_memory_items() so the reel selector reuses the
exact window/exclusion/tz/sort logic behind /memories.
- ai::tts: add synthesize_serialized() so reel narration honors the same
single-GPU permit + write lease as user TTS requests.
- video::ffmpeg: make get_duration_seconds() pub for narration timing.
- AppState: reels_path (REELS_DIRECTORY, defaults beside preview clips).
Pure logic (cache key, script parsing, ffmpeg arg/filter construction,
even sampling, segment timing) is unit-tested (26 tests). The runtime
path (ffmpeg render, TTS, LLM) needs a real run on the GPU host to verify
end-to-end — not exercisable in CI.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Cameron Cordes