docs(spec): scales-of-nature library + stabilized right-axis pipeline (session 0008) #6
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# HEF — Scales-of-Nature Library + Stabilized Right-Axis Pipeline (Design Revision)
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**Date:** 2026-06-07
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**Status:** Approved design (pre-implementation) — operator-approved this session (0008)
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**Repo:** `human-experience-filter-art`
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**Refines:** [`2026-06-05-machine-altered-perception-design.md`](./2026-06-05-machine-altered-perception-design.md)
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— specifically its Right-axis pipeline (§4.1/§4.3), content sourcing/model (§6/§8),
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and economics (§9), and it **adds a scale-navigation control + zoom transitions**
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to the §2 selector / §11 control panel. The thesis (§1), coordinate model (§3),
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Dark/Light/Left treatment, and accessibility (§10) are **preserved**.
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**Grounded in:** a local proof-of-concept run this session on the operator's Mac
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mini (M4 Pro, 64 GB, MPS) — all numbers below are measured, not estimated.
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> **Why this revision exists.** The 2026-06-05 design specified the Right axis as
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> "generative video-to-video restyle, pre-baked offline" and assumed that meant a
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> **paid cloud API** (§9 priced Kling/Sora/Veo/Runway at $0.05–0.10/s). A POC this
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> session established two things that change the design: (1) the Right restyle runs
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> **entirely locally and offline** on the operator's existing hardware, for the
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> cost of electricity; and (2) naïve per-frame restyle **boils/flickers** in a way
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> the operator found disorienting — disqualifying for a piece meant to be peaceful
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> — and the fix is **optical-flow keyframe propagation**. Separately, the operator
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> chose how the "scales of nature" idea enters the piece: as the curatorial theme
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> of a **small neutral base library**, not a single fixed journey.
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---
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## 1. The Right axis is a local, flow-stabilized restyle (refines §4.1, §4.3)
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The §4.1 mapping is unchanged in spirit — **Right = dissolve realism toward
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painterly/dreamlike via generative video-to-video** — but the *implementation* is
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now pinned:
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- **Engine:** Stable Diffusion **img2img** (POC used `stabilityai/sd-turbo`) run on
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**Apple MPS**, locally, offline, at authoring time. No cloud API.
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- **Temporal coherence is a hard requirement, not a nicety.** Per-frame img2img
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independently re-imagines each frame, producing a shimmering "boil" that reads as
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disorienting — the **opposite** of the piece's peaceful intent. This was caught
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in the POC and is now a named design constraint: *the Right substrate must be
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temporally coherent.*
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- **Stabilization: optical-flow keyframe propagation.** Fully stylize **keyframes**
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at a fixed interval; for in-between frames, **warp the previous stylized frame
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forward by optical flow** (so motion is continuous) and apply only a *light*
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diffusion refine. The flow warp removes the boil; periodic keyframes bound drift.
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(This is the EbSynth principle. Genuine `ebsynth`/`ezsynth` are NVIDIA/Windows-
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leaning and don't install cleanly on Apple Silicon, so the POC implemented the
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same idea directly with OpenCV Farneback flow + the existing diffusers pipeline.)
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This stays consistent with §4.3's crucial invariant: **the Left analytical labels
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remain a runtime overlay, never baked into the restyled pixels** — the POC's Left
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HUD is composited deterministically on top, preserving the near-free i18n of §10.
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### 1.1 Where each transform runs (updated §4.3 table)
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| Pole | Operation | Where it runs | Measured cost (8 s, 1080p clip) |
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|---|---|---|---|
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| **Dark** | color grade | runtime, live on the Pi | ~2.4 s offline; live at runtime |
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| **Light** | color grade | runtime, live on the Pi | ~2.5 s offline; live at runtime |
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| **Left** | analytical overlay (HUD) | runtime, live on the Pi | ~2.2 s offline; live at runtime |
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| **Right** | local generative restyle + flow propagation | **pre-baked offline, locally** | ~2.7 min/restyle-strength |
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The three deterministic axes are confirmed cheap enough to run **live**; only the
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Right restyle is pre-baked. A peaceful **deterministic** alternative for Right (soft
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edge-preserving smoothing + bloom, zero flicker by construction, ~5 s/clip) was
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prototyped and set aside — the operator preferred the true generative repaint once
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the flow stabilization made it calm. It remains a documented fallback.
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### 1.2 Runtime label rendering & i18n (sharpens §10)
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The Left analytical labels are drawn **live by the Pi as a 2D graphics overlay** —
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**not** baked into video, and specifically **not** a pre-rendered overlay *video*. A
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baked overlay would have to exist per language × per Left level × per scale, which
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re-introduces the "× number of languages" cost §10 exists to avoid. So the runtime
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path is:
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- **Architecture.** Per base clip, an offline-authored **annotation track** (box
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positions, anchor points, which annotations appear at each Left level) referencing
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language-agnostic label **keys** (e.g. `detected.conifer`). Per language, a cheap
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**string table** (key → translated text) + font + TTS voice. At runtime the Pi
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reads the Left knob, selects the active annotations, **shapes** the current
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language's strings, and composites over the altered video — updating only on change
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(knob move, language switch, timeline cue), not every frame.
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- **Correctness needs a real shaping stack.** Rendering *every* language correctly
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(Arabic joining, Indic conjuncts, CJK, RTL) requires **Pango + HarfBuzz + Noto
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fonts**, not naïve text drawing. (The POC's HUD used ffmpeg `drawtext`/Menlo —
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Latin-only; it would mis-render complex scripts and is **not** the runtime path.)
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This shaping stack is the load-bearing requirement behind §10's "label things
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correctly."
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- **Feasibility.** This is OSD/subtitle-class compositing; a Pi 5 (VideoCore VII,
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GLES/Vulkan, hardware decode) handles it. Headroom at the *panoramic* resolution is
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the one unmeasured variable — see §6.
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---
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## 2. Content = a small NEUTRAL "scales of nature" library (refines §6, §8)
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The operator's "cosmic zoom" concept (space → continents → birds → ocean → abyss →
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microscopic → galaxy) enters the piece **as a curatorial theme, not a fixed film.**
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- **Structure:** a **small library (~4–6 to start) of calm, neutral base clips**,
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each drawn from a *different scale of nature* — e.g. an orbital Earth, a forest, a
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coral reef, the deep-sea abyss, the microscopic, the cosmos. The machine alters
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whichever clip is playing, exactly as for any neutral base.
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- **Why this and not a single stitched journey.** A literal galaxy→cell "how small
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we are" journey carries its **own** emotion (awe, cosmic insignificance) *before
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the machine acts*, which contradicts the §1 neutral-base thesis, and as a fixed
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film it becomes "a journey you watch" rather than "a reality you bend." Keeping the
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scales as the *theme of a neutral library* preserves the awe-of-scale richness and
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the piece's coherence **while keeping the base neutral and the experience
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interactive.** (Rejected alternatives: single stitched base; cosmic-zoom as
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intro/reset; rethinking the thesis.)
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- **Cost is not the constraint.** Per §4 below, ~5 base clips is ~1 hour of overnight
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local pre-bake — so this is an *artistic* choice, made on artistic grounds.
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- **Mechanism unchanged:** this slots into the existing §6 content model and the
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sub-project-2 ingest/tagging/review tooling; "scales of nature" is simply the
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selection principle for which neutral clips to source.
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### 2.1 Strict-PD sourcing map (refines §8)
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License stance is unchanged (prefer Public Domain / CC0; record license + source per
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clip). The "scales" theme maps onto genuinely public-domain pools cleanly at the
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*ends* and is softer in the terrestrial *middle*:
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| Scale | Best strict-PD source | Status |
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|---|---|---|
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| Cosmos / galaxy / deep space | NASA, Hubble, JWST | 🟢 abundant, true PD |
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| Earth from orbit / continents | NASA / ISS | 🟢 true PD |
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| Ocean & **deep sea / abyss** (global) | **NOAA Ocean Exploration** | 🟢 true PD, worldwide |
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| Microscopic / single-celled | NIH / NSF | 🟢 thinner but PD |
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| US land / wildlife | NPS, USGS, USFWS | 🟢 true PD (US locations only) |
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| **Non-US terrestrial, high-flying birds** | — | 🟡 mostly CC-BY; the PD soft spot |
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US-government works are public domain by statute (17 U.S.C. §105); the installation
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is US-based, so this is the cleanest possible legal footing. **Caveat the design
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must respect:** "free stock" sites (Pexels, Pixabay, Mitch Martinez's free 4K, etc.)
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are *royalty-free but NOT public domain* — they restrict redistribution and retain
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copyright. The ingest tool's "no explicit license → assume PD, verify before use"
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flag exists precisely for this trap and must not be trusted blindly.
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---
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## 3. Scale navigation & zoom transitions (new element; refines §2 selector, §11)
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The scales-of-nature library is navigated as a **closed loop (a ring), not a line.**
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A dedicated **scale ("zoom") control** lets the viewer journey through scales;
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advancing it triggers a short **AI zoom/warp transition** to the next scale,
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pre-baked offline. Diving past the smallest (single-celled) **wraps around** to the
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largest (cosmos) — the infinite-zoom payoff that unifies micro and macro and makes
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the ring continuous.
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- **The control is an *endless* rotary encoder — infinitely turnable, no end stops.**
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The form embodies the concept: a ring of scales has no beginning or end, so neither
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does the knob. Keep turning one way and you zoom inward forever (…reef →
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microscopic → **cosmos** → continents → …); turn back to zoom out. This sets it
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apart from the four **experience knobs**, which are *absolute* 0–4 pots: the zoom
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control reports **relative** rotation (encoder detents), and the player/firmware
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advances or retreats one ring-step per increment. It is distinct too from the §6
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content dial (audio/video channel) — it chooses *where in the ring* you are, while
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the knobs still bend whichever scale is present.
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- **Transitions:** between each adjacent pair of scale clips, a short (~few-second)
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generative morph — **first-last-frame-conditioned image-to-video** (Wan/LTX-class)
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or SD "infinite-zoom" outpainting for the literal zoom-through. Pre-baked offline,
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local; one clip per ring edge (N scales → N transitions, including the micro→cosmos
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closer). A fast spin may cross several scales — transitions chain, or past a speed
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threshold a faster blended pass is used.
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- **Thesis-safe:** dwells on a scale are the neutral, knob-altered interactive cores;
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transitions are fixed connective moments (un-altered, or at most carrying the
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current mood grade). The awe lives in the *movement between* scales, not the base.
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- **Heavier than the restyle, still bounded:** generative video synthesis costs more
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per second than img2img, but transitions are few and short — a handful of ~3–5 s
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morphs is an overnight local batch.
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---
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## 4. Economics update — local authoring ≈ free (refines §9)
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§9 priced the Right axis at **~$300–3k** of cloud generative-v2v API. The POC
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collapses that: the restyle runs on **hardware the operator already owns**, offline,
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so the marginal cost is electricity.
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- **Per base clip:** ~4 Right restyle strengths × ~2.7 min ≈ **~11 min of local AI
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pre-bake**, plus seconds for the deterministic Dark/Light/Left grid.
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- **Whole small library (~5 clips):** **~1 hour** of overnight batch rendering.
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- **Scale transitions:** ~N short generative-video morphs (one per ring edge), a few
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seconds each — a separate, heavier offline batch (video synthesis > img2img), but
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still overnight-local.
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- **Cloud API: no longer required** for the build. (It remains an option if a
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higher-quality video model than a local one is wanted for a final pass.)
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This also tightens the piece's "all-local" ethos: not just *runtime* is local
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(§1 of the prior design) — now *authoring* is too.
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---
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## 5. POC evidence (this session)
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A throwaway spike (outside the repo, `~/hef-poc/`) validated the full engine on one
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real nature clip (a 4K Yosemite waterfall, trimmed to 8 s @ 1080p):
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- **All four axes rendered** and read as distinct: Dark (cold/somber), Light
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(warm/serene), Left (analytical HUD overlay), Right (painterly).
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- **Right per-frame:** ~3.4 min/8 s clip, **flickers badly** (disqualifying).
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- **Right flow-propagated:** ~2.7 min/8 s clip, **calm** (operator-approved).
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- **Deterministic axes:** ~2.4 s each, ~3× faster than real-time → confirmed
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runtime-capable.
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- **Stack:** `imageio-ffmpeg`, `diffusers` + `sd-turbo` on MPS, OpenCV Farneback
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flow; Python 3.13; 64 GB unified memory comfortably ran models that OOM consumer
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GPUs.
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---
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## 6. Open questions (for the plan, not blockers)
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- **Flow quality at scale:** the OpenCV flow propagation was validated on one short
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clip; longer clips / faster motion may need shorter keyframe intervals, bidirectional
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blending, or a stronger flow model (RAFT).
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- **Painterly strength:** the POC kept the restyle gentle; the dreamlike *range* and
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the per-axis restyle-strength count (the §4.3 "small set of variants") are
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unfixed.
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- **Base-clip sourcing:** select and ingest the actual ~4–6 strictly-PD neutral
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scale clips (NASA/NOAA/NPS) via sub-project 2.
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- **Model choice:** `sd-turbo` was the POC's speed pick; a higher-quality local
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model (or a final cloud pass) may be worth a comparison for the shipped variants.
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- **Scale transitions:** generation method (first-last-frame i2v vs. infinite-zoom
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outpainting) and local model; per-transition length; whether transitions carry the
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current mood grade; the ring ordering of the scales; and behavior on fast or
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continuous spins of the endless encoder (chain transitions vs. blended skip).
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- **Pi compositing headroom:** confirm the Pi 5 can decode the altered video **and**
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render the live Pango/HarfBuzz label overlay at the *actual* panoramic projector
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resolution (ultra-wide / high-res) — low risk but unmeasured (see §1.2).
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## 7. Out of scope (YAGNI)
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- A single continuous **one-take** zoom through *all* scales (we use discrete neutral
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clips joined by short AI transitions on a navigable ring — not one unbroken shot).
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- Audio-axis alteration (already deferred by the prior §6).
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- Cloud rendering pipeline (local supersedes it for the base build).
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