Photography — topic-mm-photo — Temerarii Media Back Office

post topic-mm-photokind topicweek —date —campaign multimedia-pillarpillar multimediabeat —asset videoduration 51.9sground blackscenes 9

Checklist the per-video bar — engine/sim

98.4/100

plain languagevo coverageno dead airuniquenesscaption fitcompletenesscleanliness

quantitative quality · weights learn from your reviews (engine.sim.memory review topic-mm-photo good|bad)

⚠ 1 flag(s) — not yet ship-ready: copy_generic · see docs/strategy/VIDEO-CHECKLIST.md

Composition comp · template family · expected output

composition SceneReelfamily / template SceneReel

9:16 Reelrendered1:1 Squarepending16:9 Widepending9:16 4Kpending1:1 4Kpending16:9 4KpendingGIF (SMS)pending

▶ open rendered mp4

expected output: 1/7 rendered — same matrix the /media preview surfaces for this asset.

Composition layer × scene 9 scenes · 51.9s · comp_id + rendered still + tier + the script

#	Layer (comp_id · still · tier)	Beat	Timecode	Motion	Logo	Audio	VO / on-screen / caption
1	still pending matches intent shared field signature-3d	open	0–5.0s	spatial-parallax	icon·white-knockout	♪ —	A product shot used to mean a studio, a model, and a half-day shoot. on-screen: Your product, on a model
	expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · node-graph · spatial-parallax · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual node-graphshape octaground blacktreatment white-knockoutmotion spatial-parallaxpower summoninstrument summon→three-mark
2	still pending matches intent ListCard template	legacy	5.0–11.3s	crossfade-8f	icon·wireframe	♪ —	The old way: book the space, the model, the lighting, and pray the weather and the calendar cooperate. on-screen: Old way: book the studio
	expected on screen: black ground · a ListCard panel over a dimmed Signal Field · Lumen leads · crossfade-8f · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ListCardshape octaground blacktreatment wireframemotion crossfade-8fpower morphinstrument decay→three-symboliccurate items
3	still pending matches intent NumberedList template	teach	11.3–16.3s	kinetic-build	icon·wireframe	♪ —	It starts with one honest product photo on a plain background. on-screen: Step 1: clean product photo
	expected on screen: black ground · a NumberedList panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id NumberedListvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-panelcurate items, nodes
4	still pending matches intent ChecklistCard template	teach	16.3–22.4s	kinetic-build	icon·wireframe	♪ —	We feed that photo plus a model and scene brief into GPT Image 2's multi-image edit on fal. on-screen: Product + model brief -> edit
	expected on screen: black ground · a ChecklistCard panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id ChecklistCardvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→three-diagramcurate items, nodes
5	still pending matches intent BuildLog template	teach	22.4–28.4s	kinetic-build	icon·wireframe	♪ —	We keep a reference sheet for each recurring model, so the same face comes back shoot after shoot instead on-screen: Lock the cast, reuse it
	expected on screen: black ground · a BuildLog panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BuildLogvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→html-in-canvas-codecurate lines, nodes
6	still pending matches intent BlueprintGrid template	teach	28.4–35.3s	kinetic-build	icon·wireframe	♪ —	Then the flow: generate the look, check that the product reads true, fix the misses, and upscale the keepers on-screen: Brief -> edit -> QA -> upscale
	expected on screen: black ground · a BlueprintGrid panel over a dimmed Signal Field · Lumen leads · node-graph · kinetic-build · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id BlueprintGridvisual node-graphshape octaground blacktreatment wireframemotion kinetic-buildpower morphinstrument morph+laser→three-flowcurate nodes, rows
7	still pending matches intent KpiGrid template	proof	35.3–40.3s	receipts-count	icon·wireframe	♪ —	A full lookbook that used to be a shoot day now comes together in an afternoon, on-screen: A lookbook in an afternoon
	expected on screen: black ground · a KpiGrid panel over a dimmed Signal Field · Lumen leads · receipts · receipts-count · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id KpiGridvisual receiptsshape octaground blacktreatment wireframemotion receipts-countpower receiptsinstrument spotlight→html-in-canvas-receiptscurate kpis, statsLabels
8	still pending matches intent shared field signature-3d	futurist	40.3–46.199999999999996s	spatial-parallax	icon·wireframe	♪ —	Soon every SKU gets its own on-model set, refreshed each season, without re-booking anyone. on-screen: Every SKU, every season
	expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · spatial-parallax · icon·wireframe logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldshape octaground blacktreatment wireframemotion spatial-parallaxpower spatial-parallaxinstrument laser-fire→three-forward
9	still pending matches intent shared field signature-3d	resolve	46.2–51.900000000000006s	coalescence	icon·white-knockout	♪ swell	Send us one product photo and we'll build the lookbook. Start at temerarii.xyz. on-screen: Put your product on a model
	expected on screen: black ground · octa hero in the shared Signal Field · Lumen leads · coalescence · coalescence · icon·white-knockout logo · caption bottom-left spec (the prompt): comp_id shared Signal Fieldvisual coalescenceshape octaground blacktreatment white-knockoutmotion coalescencepower coalescenceinstrument coalescence→three-coalescence

Format stack 3 aspects · same scenes[], re-cropped

9:16

1080×1920

Stories · TikTok · YouTube Shorts · Reels

1:1

1080×1080

LinkedIn · Facebook · Instagram

16:9

1920×1080

X/Twitter · YouTube · LinkedIn video

Channels 12 destinations

LinkedInX/TwitterYouTubeInstagramFacebookThreadsTikTokPinterestBlueskyEmailSMSBlog

Social captions supplemental published copy · per channel (comp_id level)

tiktokYour product, on a model, without booking a studio. AI-assisted way: start with one honest product photo on a plain background. Feed that photo plus a model and scene brief into GPT Image 2's multi-image edit on fal. Keep a reference sheet for each recurring model so the same face comes back shoot after shoot. Then the flow: generate the look, check the product reads true, fix the misses, upscale the keepers. A full lookbook that used to be a shoot day now comes together in an afternoon. temerarii.xyz

instagramYour product. On a model. No studio booked. Start with one clean product photo. Feed it plus a model and scene brief into GPT Image 2 on fal. Lock a reference sheet so the same face returns. Generate, QA the product, fix, upscale the keepers. A lookbook in an afternoon, not a shoot day. temerarii.xyz #productphotography #lookbook #falai #ecommerce #temerarii

linkedinA product shot used to mean a studio, a model, and a half-day shoot, plus praying the weather and the calendar cooperated. Here is how we build a lookbook in an afternoon. It starts with one honest product photo on a plain background. We feed that photo plus a model and scene brief into GPT Image 2's multi-image edit on fal. We keep a reference sheet for each recurring model, so the same face comes back shoot after shoot instead of drifting. Then the flow: generate the look, check that the product reads true, fix the misses, and upscale the keepers. A full lookbook that used to be a shoot day now comes together in an afternoon. Send us one product photo and we will build the lookbook. temerarii.xyz

xA product shot used to mean a studio, a model, and a half-day shoot. Now: one clean product photo plus a model brief into GPT Image 2 on fal, lock a reference sheet so the face stays, QA, upscale. A lookbook in an afternoon. temerarii.xyz

facebookA product shot used to mean a studio, a model, and a half-day shoot, plus praying the weather cooperated. Here is the faster way. Start with one honest product photo on a plain background. Feed that photo plus a model and scene brief into GPT Image 2's multi-image edit on fal. Keep a reference sheet for each recurring model so the same face comes back shoot after shoot. Then generate the look, check the product reads true, fix the misses, and upscale the keepers. A full lookbook now comes together in an afternoon. Send us one product photo and we will build the lookbook at temerarii.xyz

threadsA product shot used to mean a studio, a model, and a half-day shoot. Now: one clean product photo plus a model and scene brief into GPT Image 2 on fal, a reference sheet so the same face returns, then generate, QA, and upscale the keepers. A lookbook in an afternoon. temerarii.xyz

pinterestOn-model product photography with AI: start with one clean product photo, feed it plus a model and scene brief into GPT Image 2 multi-image edit on fal, lock a reference sheet so the same model returns, then generate, QA that the product reads true, and upscale the keepers. Build a full lookbook in an afternoon. Save this ecommerce photo method.

blueskyA product shot used to mean a studio, a model, and a half-day shoot. Now: start with one clean product photo, feed it plus a model brief into GPT Image 2 on fal, keep a reference sheet so the same face returns, then QA and upscale. A lookbook in an afternoon. temerarii.xyz

youtubeProduct On A Model Without A Studio: GPT Image 2 + fal Lookbook Method A product shot used to mean a studio, a model, and a half-day shoot, plus praying the weather and the calendar cooperated. Here is how we build the same lookbook in an afternoon, given away. It starts with one honest product photo on a plain background. We feed that photo plus a model and scene brief into GPT Image 2's multi-image edit on fal. We keep a reference sheet for each recurring model, so the same face comes back shoot after shoot instead of drifting from set to set. Then the flow: generate the look, check that the product reads true, fix the misses, and upscale the keepers. A full lookbook that used to be a shoot day now comes together in an afternoon. What is next: every SKU gets its own on-model set, refreshed each season, without re-booking anyone. Send us one product photo and we will build the lookbook. temerarii.xyz

Cross-links every lens is a view on this one record

→ Wireframe · scenes → Calendar week → Media (audience preview)→ Storyboard hub → Day view → Channel view