Saitawa: Fim ɗin ƙaddamar da samfurin Ora 2

Tambaye ni: sunan samfurina, sautin layi ɗaya, tambari na, hotunan allo 3 zuwa 6 na samfurin, hotuna sama da 40 na abin da yake ƙirƙira (ko hotunansa), launuka da font na alama, maɓallin ElevenLabs API da ID na murya, da waƙa mara royalty tare da drop clear (fayil ɗin sauti da tambarin drop time). Idan na tsallake wani abu, yi amfani da waɗannan tsoffin sigogi: "Ora 2", "samfurin hoto da aka yi don ɗanɗano", hotuna kyauta daga Unsplash da Pixabay, Geist, tawada #111214, muryar Samara X (19STyYD15bswVz51nqLf) akan eleven_v4, da Pixabay "Cascade Breathe" (129.83 BPM, sauke a 75.39s).

<script>
Rubuta sautin layi 9 a cikin wannan tsari kuma daidaita kowane layi zuwa ga samfurina:
"Wannan [suna] ne]. Wani [nau'i]... an gina shi don [daraja]. [Fi'ili] a kowace salo. Ba shi [shigarwa] - kuma kawai... ya fahimta. Da zarar ka yi amfani da shi, zai fi kyau. Daidaita [saitinsa]. [saitinsa]. Kowane [fitarwa] - daidai yadda ka kwatanta shi. [Suna]. Fita yanzu."
Yi amfani da alamun motsin rai kaɗan: [a hankali] a kan layukan shiru da kuma [fushi] a kan layin [Fi'ili]. Kada ka yi wa mai buɗewa alama, ka kuma ƙare shi da tasha mai cikakken ƙarfi.
</script>

Kira ElevenLabs API kai tsaye ta amfani da maɓallina, ba tare da MCP ba. Samar da cikakken rubutu guda 4 yana ɗaukar lokaci ɗaya kuma bari in zaɓi. Idan layi bai yi kyau ba, sake sabunta wannan layin sau 4 kuma a haɗa mafi kyawun sigar a cikin ra'ayina.
Rage dakatawa fiye da 0.28s zuwa 0.2s, sannan ka kawo kowace jumla 85% na hanyar zuwa matakin matsakaici, daidaita riba kawai yayin dakatawa.
Don lokutan kalmomi, raba karatun a lokacin da aka dakata na 100ms ko fiye, rubuta kowane sashe daban da Whisper, sannan ka daidaita kalmar farko zuwa ga lokacin da aka auna. Wucewa ɗaya ta Whisper na iya sanya kalmomi har zuwa rabin daƙiƙa a makare.

Fim ɗin ƙaddamar da bidiyo mai tsawon daƙiƙa 22, mai girman 1440x1440 a 60fps, a cikin salon ƙaddamar da wani daki mai suna AI Lab: zane mai launin fari, rubutu ɗaya, tawada baƙi, hotuna na gaske, da kuma taken da aka rubuta kalma bayan kalma a daidai lokacin da aka yi magana da su.
Kowace na'urar sarrafawa (sandar gaggawa, allon saitunan, ƙwayar taken) tana amfani da gilashin ruwa: ta yi sanyi a wurin da ke bayanta, ta lanƙwasa wannan wurin a gefen kamar gilashi mai kauri, sannan ta ƙara sheƙi a saman, gefen haske da inuwa mai laushi. Gilashin yana ɓacewa a kan farin fata, don haka ƙara ɗan haske mai laushi a cikin launuka na alama ko kuma ta goge hoton da ke bayansa.
Wanda ya fi mayar da hankali kan nau'ikan kalmomi a cikin launukan alama ta, tare da ɗan haske a bayansa.
Ka'idojin motsi: kiyaye kyamara tana tafiya (tura daga 1.0 zuwa 1.04 a kowane yanayi; lokacin da abun ciki ya koma wurin da ke gaba, fara daga zuƙowa inda yanayin da ya gabata ya ƙare). Babu abin da ya bayyana nan take: yi amfani da raguwar fades na akalla 0.3s. Canza hotuna akan bayanin kula na 16, tare da dannawa ɗaya ga kowane. Canje-canjen yanayin ƙasa akan jimla ya fara, kuma daidaita faɗuwar kiɗan tare da layin [Verb]. Kada a nuna cikakkun tasha akan allo.
An haramta: manyan abubuwan da suka shafi zaɓe, slams masu bugun-kashewa, walƙiyar fari, 3D, samfura.

Sauye-sauye bakwai, waɗanda aka yi a lokacin da aka yi wa muryar jawabi:

1. "Wannan shine [suna]": tarin hotunana yana fitowa yayin da sunayen suka fito a manyan lambobi, sannan ya ba da hanya ga layin rukuni.
2. "An yi shi don [ƙima]": Cikakken walƙiya na mafi kyawun hotuna na yana canzawa akan bayanin kula na 16 cikin faɗuwa, tare da layin da aka buga da fari a kansu.
3. Faɗuwar: sandar amsa ta gilashi tana rubuta gajeren saƙo. Katin sakamako yana canza salo a duk bayan wata 16, yayin da guntu mai salo na baƙi ke birgima zuwa kowane sabon suna a saman guntu mai siffar hoto.
4. "Nuna masa allon yanayi": Hotuna 9 suna tashi zuwa cikin grid mai girman 3x3, sannan su yi zagaye sakamakon yayin da "Yana samun ku" ke rubutawa a allon.
5. "Gwargwadon yadda kake amfani da shi, haka zai fi kyau": rubuta layi biyu, tare da kalmar da aka jaddada a cikin gradient.
6. Saitunan: nuna allon gilashi mai zamiya guda 3, kowannensu yana motsawa kamar yadda ta sanya masa suna. Canja launin hoton, naɗe sabbin tsaba a ranar 16, sannan a mayar da shi fosta. Canja launinsa mara haske a bayan gilashin a daidai gwargwado.
7. "Kowane [fitowa], daidai yadda kuke gani": ya fashe hotunana 120 daga tsakiya a bayan wani gilashin rubutu, sannan ya haɗa su cikin tambari na yayin da sunan ke bugawa. Saka "Fitowa yanzu" a ƙasa kuma riƙe na tsawon 2.

Sauya sandar turawa, sakamako da maɓallan zamiya da ainihin shigarwar, fitarwa da saitunan samfura na.

Saita waƙar don ta sauka a kan layin [Verb], sannan ka sanya grid ɗin bugun a wurin.
Sai a haɗa waƙar a ƙarƙashin muryar da sarkar gefe mai sau uku (ƙasa da kashi 30%, matsakaicin kashi 85%, iska kashi 55%; riƙe 0.3s, kallon gaba na 50ms, sakin 0.5s). Sannan a daidaita tsakiyar kowace jumla har sai muryar ta zauna kusan 9 dB sama da waƙar tsakanin 300 Hz da 4 kHz.
Yi amfani da Mixkit SFX guda ɗaya da aka sauke a kowane taron, wanda aka sanya shi bisa ga kololuwar da aka auna: dannawa ɗaya don kowane canjin hoto, sautin maɓalli ga kowane harafi da aka buga, saukowa mai laushi akan kalmar da aka jaddada, whooshes, da tasirin akan faɗuwar da tambarin. Gyara kowannensu a kusa da kololuwar sa (masu tashi da yawa suna da daƙiƙa 4). Rage kiɗan tare da lanƙwasa dB a ƙarƙashin katin ƙarshe. Ƙara ƙarfi zuwa -14 LUFS.

1. Zane ɗaya HTML. Kowane firam aiki ne na lokaci a cikin search(t), kuma kowane taken rubutu da yanke yana bin teburin kalmomi.
2. Gilashi: kama zane a bayan siffar, goge shi da kusan 14px don jiki, zana kwafin da aka ƙara haske kaɗan wanda aka ƙawata da kusan 1.06x a cikin madauri mai girman 12px a gefen, sannan a ƙara madara, sheƙi, baki da inuwa.
3. Yi amfani da Playwright a 60fps ta amfani da ƙananan firam 8 na motion-blur, sannan ka yi encode da ffmpeg.
4. Kafin ka nuna min komai, ka yi takardar tuntuɓar hotuna, ka duba bambance-bambancen firam ɗin don ganin hotunan da ke da firam ɗaya (sautin 16 ne kawai zai iya tsalle), sannan ka duba rabon murya da waƙa ga kowace jimla.

Mai buɗewa [da dumi] zai iya yin sauti kamar an raɗa shi, yayin da [mai farin ciki] zai iya jin kamar na ƙarya. Akwatin haskakawa a bayan kalma yana kama da zaɓin rubutun Windows. Idan kyamarar ta sake saita zuwa 1.0 yayin miƙawa, zuƙowa zai yi sauri. Fade na 0.05s yana kama da faɗakarwa nan take.

Tambaye ni abubuwan da aka rubuta, rubuta rubutun, aiko min da sautin murya guda 4 da zan zaɓa daga ciki, sannan ka nuna min hotunan 8 kafin cikakken hoton.

Ask me for: my product name, a one-line pitch, my logo, 3 to 6 screenshots of the product, 40+ images of what it creates (or photos of it), my brand colors and font, an ElevenLabs API key and voice ID, plus a royalty-free track with a clear drop (the audio file and the drop timestamp). If I skip anything, use these defaults: "Ora 2", "an image model made for taste", free images from Unsplash and Pixabay, Geist, ink #111214, the voice Samara X (19STyYD15bswVz51nqLf) on eleven_v4, and Pixabay "Cascade Breathe" (129.83 BPM, drop at 75.39s).

<script>
Write a 9-line voiceover in this format and adapt every line to my product:
"This is [name]. A [category]... built for [value]. [Verb] in ANY style. Give it a [input] - and it just... understands. The more you use it, the BETTER it gets. Adjust its [setting]. Its [setting]. Its [setting]. Every [output] - exactly as you pictured it. [Name]. Out now."
Use emotion tags sparingly: [softly] on the quiet lines and [excited] on the [Verb] line. Don't tag the opener, and end it with a plain full stop.
</script>

Call the ElevenLabs API directly using my key, without an MCP. Generate 4 full-script takes in one pass and let me choose. If a line doesn't sound right, regenerate just that line 4 times and splice the best version into my take.
Shorten pauses longer than 0.28s to 0.2s, then bring each phrase 85% of the way toward the median level, adjusting gain only during pauses.
For word timings, split the read at pauses of 100ms or longer, transcribe each segment separately with Whisper, and align its first word to the measured onset. A single Whisper pass can place words up to half a second late.

A 22-second square launch film, 1440x1440 at 60fps, in the style of an AI lab launch: white canvas, one typeface, black ink, real images, and captions typed word by word at the exact time they're spoken.
Every control (prompt bar, settings panel, caption pill) uses liquid glass: frost the scene behind it, bend that scene along the edge like thick glass, then add a top sheen, bright rim and soft lift shadow. Glass disappears on plain white, so add a slow pastel aura in my brand colors or a blurred wash of the photo behind it.
The one emphasized word types in a gradient of my brand colors, with a faint glow behind it.
Motion rules: keep the camera drifting (push from 1.0 to 1.04 per scene; when content moves to the next scene, start at the zoom where the previous scene ended). Nothing appears instantly: use eased fades of at least 0.3s. Change images on 16th notes, with a click for each. Land scene changes on phrase starts, and align the music drop with the [Verb] line. Don't show full stops on screen.
Banned: selection-box highlights, beat-snapped slams, white flashes, 3D, templates.

Seven scenes, timed to the voice:

1. "This is [name]": a collage of my images drifts out as the name types in large, then gives way to the category line.
2. "made for [value]": full-screen flashes of my best images switch on 16th notes into the drop, with the line typed in white over them.
3. The drop: a glass prompt bar types a short prompt. The result card changes style every 16th note, while a black style chip rolls to each new name above a thumbnail strip.
4. "Show it a moodboard": 9 images fly into a 3x3 grid, then circle the result as "It gets you" types on screen.
5. "The more you use it, the better it gets": type two lines, with the emphasized word in the gradient.
6. The settings: show a glass panel with 3 sliders, each moving as she names it. Shift the image's hue, roll new seeds on 16ths, then turn it into a poster. Shift a blurred wash of its colors behind the glass in sync.
7. "Every [output], exactly how you see it": burst 120 of my images outward from the center behind a glass caption pill, then bring them together into my logo as the name types on. Put "Out now" underneath and hold for 2s.

Replace the prompt bar, results and sliders with my product's real input, outputs and settings.

Set the song so the drop lands on the [Verb] line, and anchor the beat grid there.
Duck the music under the voice with a 3-band sidechain (lows 30%, mids 85%, air 55%; 0.3s hold, 50ms look-ahead, 0.5s release). Then adjust the mids of each phrase until the voice sits about 9 dB above the music between 300 Hz and 4 kHz.
Use one downloaded Mixkit SFX per event, positioned by its measured peak: a click for each image change, a key sound for every typed letter, a soft landing on the emphasized word, whooshes, and impacts on the drop and logo. Trim each around its peak (many risers are 4 seconds). Fade the music along a dB curve under the end card. Loudnorm to -14 LUFS.

1. One HTML canvas. Every frame is a pure function of time inside seek(t), and every caption and cut follows the word table.
2. Glass: capture the canvas behind the shape, blur it about 14px for the body, draw a lightly blurred copy magnified about 1.06x in a 12px band along the edge, then add the milk, sheen, rim and shadow.
3. Render with Playwright at 60fps using 8 motion-blur subframes, then encode with ffmpeg.
4. Before showing me anything, make a contact sheet of stills, scan frame differences for single-frame pops (only the 16th-note runs may jump), and check the voice-to-music ratio for every phrase.

A [warmly] opener can sound whispered, while [excited] can feel fake. A highlight box behind a word looks like a Windows text selection. If the camera resets to 1.0 during a handoff, the zoom snaps. A 0.05s fade looks like an instant pop-in.

Ask me for the inputs, write the script, send me 4 voice takes to choose from, then show me 8 stills before the full render.

An ɗauko umarni daga rubutu @rossaxbt.