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Creativity

Pixara

Pixara v1.0.0

Create images, video and audio

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From the developer

Declared capabilities

  • Read
  • Write

Declared limitations

  • Unrelated question. The plugin should not be used.
  • Deceptive likeness of a real person. No generation tool should be called; the request should be declined.
  • Voice cloning without the speaker's consent. clone_voice should not be called; the request should be declined.

Not specified in the available declarations: pricing & account requirements.

Onboarding example

Create 4 image ads for my cold brew in different styles
Sources & dates

Developer declarations; not independently tested. Listing last checked Nov 12, 2026. Package observed Nov 11, 2026.

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Description

From the marketplace listing

Pixara connects ChatGPT to your Pixara account so you can generate and edit images, video, voiceover and music from the conversation. Describe what you want and ChatGPT chooses from the models available on Pixara, using Pixara's model recommendations. Finished images, video and audio open in an inline media viewer. What you can do: - Generate images from a prompt or a reference image, such as product shots and ad creative. - Generate video from a prompt or an image. - Create voiceovers and music, and lip-sync a video to an audio track. - Edit media: upscale, remove backgrounds, reframe to new aspect ratios, add subtitles and sound effects, and trim or merge clips. - Assemble clips, narration and music into a single edited video. - Browse and reuse your past generations and uploads, and run your saved Pixara workflows. Images usually finish in seconds; video can take a few minutes. Requires a Pixara account; sign in when you connect.

Language: English · Automatically detected from descriptions.

Screenshots

From the developer.

Matches for “reframe”

Exact text from the indicated source. A mention alone does not establish support for your task.

Publisher full description

Pixara connects ChatGPT to your Pixara account so you can generate and edit images, video, voiceover and music from the conversation. Describe what you want and ChatGPT chooses from the models available on Pixara, using Pixara's model recommendations. Finished images, video and audio open in an inline media viewer. What you can do: - Generate images from a prompt or a reference image, such as product shots and ad creative. - Generate video from a prompt or an image. - Create voiceovers and music, and lip-sync a video to an audio track. - Edit media: upscale, remove backgrounds, reframe to new aspect ratios, add subtitles and sound effects, and trim or merge clips. - Assemble clips, narration and music into a single edited video. - Browse and reuse your past generations and uploads, and run your saved Pixara workflows. Images usually finish in seconds; video can take a few minutes. Requires a Pixara account; sign in when you connect.

Changes

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First seen Oct 26, 2026. Last seen Nov 12, 2026.

Keywords

Files & skills

File archives

Plugin package20 files · 5.43 MBBrowse files →
Skill instructions
ad-creative8.84 KB

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---
name: "ad-creative"
description: "A coordinated static ad set from one product and one message: product intake, a headline under eight words from the user’s own claims, one key visual approved first, then hooks and sizes as variants with the headline rendered inside the image on a text-rendering model, the logo exact, spelling checked. Use when: paid-ad creatives with a product and a message; a static ad set, Meta or TikTok ad images, a billboard or out-of-home visual, a seasonal campaign key visual, a menu or poster with the product, banner ads in several sizes. Not for: organic posts with no product (social-graphics), product stills with no message (product-photoshoot), a video ad (product-reel), listing images (amazon-listing), a thumbnail (thumbnail)."
---

# Ad creative

Produce a coordinated set of static ad visuals. One product, one message, one key visual approved first, then the variants. The words live inside the image and are checked letter by letter.

## Rules that never bend

- The headline is under eight words and comes from the user's claims or their own line; a number, a price or a time appears only when the user wrote it. Body copy under twenty words when present. Nothing invented about the product, the offer or the results.
- Text is rendered inside the image on a text-rendering model (google/nano-banana-pro at 2K for 4:5, 9:16 and every wide format; openai/gpt-image-2 only at 1:1, 2:3 or 3:2, the only aspects it renders here) with the exact string quoted and its placement named; spelling is checked on every render and a misspelling is re-rendered, never accepted.
- The product is passed in the reference image field on every render and keeps its identity (the staging contract from intake); the logo is passed as a second reference when the brand has one and reproduced exactly.
- One key visual (the idea, the palette, the composition) is approved before any variant; variants change the hook, the format or the size, never the idea.
- Platform safe zones: at 9:16 the headline sits in the middle third; at 1:1 and 4:5 nothing important sits in the outer five percent; a billboard keeps the headline readable at a glance from the far side of a road.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the product (a photo to upload, a URL, or a description), the message or offer, the audience, the formats (1:1, 4:5, 9:16, a billboard at 3:1 or wider), the count, the season or occasion when the campaign has one, the brand palette and logo when there are any. Ask for a missing message when the brief carries no line and no claims, and for a missing product. Never ask about models.

## Phases

1. Product intake. Look at the product photo inline (or read the description) and write a one-paragraph staging contract you reuse verbatim: the object type and form, material and finish, colours, the label state (the exact printed text if legible, otherwise "blank" or "unreadable"), its size next to a hand, how it opens or is used, one honest imperfection. Lock the angle to the side the photo shows. Lock the claims as a short allowlist.
2. Message. Write the headline and the optional body in two lines; show them; a nod proceeds.
3. Key visual. One generate_image at the primary format on google/nano-banana-pro at 2K with the product (and the logo) in imageUrls; verified: the headline rendered exactly on the first try at 4:5 and again on every variant. Open with the manifest ("image 1 is the product: same label, same visible side; image 2 is the logo, exact shape and colours"), then the scene that dramatises the message, the product large and sharp, the headline as an exact string in quotation marks with its placement and the safe zone, the logo where the brand puts it, the palette, the light with a direction, the mood in two words; then the negatives: no extra product, no invented label text, no stock-photo gloss, no HDR glow, no lens flare, no watermark, no other text. Wait, l

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amazon-listing8.83 KB

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---
name: "amazon-listing"
description: "A marketplace image set from one product photo: a compliant main image on pure white, a seven-slot secondary sequence and optional A+ modules, one message per image, mobile-legible text from the user’s claims only, the approved main image reused as the anchor for every other one. Use when: marketplace listing images; an Amazon, Etsy, Shopify or eBay image set, a main image on white, infographic or feature images, an A+ content set, \"listing photos\" for a product page. Not for: general product photography with no marketplace (product-photoshoot), a paid ad with a headline (ad-creative), a video (product-reel), a thumbnail (thumbnail)."
---

# Amazon listing

Produce a compliant listing image set. One product, one message per image, text only from the user's claims, the approved main image as the anchor for every secondary.

## Rules that never bend

- The main image: a pure white background, the product alone and filling about 85 percent of the frame, the reference's visible side, no props, no text, no logos, no hands, square, at least 1600 pixels.
- Secondaries carry exactly one message each; text is short, at least a 24 point equivalent, with strong contrast, rendered on a text-rendering model (openai/gpt-image-2 or google/nano-banana-pro) from the user's claims verbatim. No claim, number or comparison the user did not write; competitor names never appear.
- The approved main image is passed in the reference image field on every secondary as the product; the label, colours and proportions never drift.
- Nothing invented about what is in the box; the contents come from the brief.
- Spelling is read back on every image that carries text; a misspelling is re-rendered, never accepted.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the product photo (required; upload a local one; a description alone gets a packshot first through the product-photoshoot recipe, and that packshot becomes the reference), the scope (main only; main plus secondaries; main plus A+ modules; the full set), the claims allowlist, the box contents, the brand palette. Ask for a missing scope, and for a missing claims list when secondaries are wanted. Never ask about models.

## The sequence

Secondaries in order, each square: a hero in context; features and scale (a dimension callout or a hand for scale); in use; an infographic of three benefits from the claims; a comparison of visible attributes only; a lifestyle scene; a trust image (the box contents laid out, a material close-up).

A+ modules, when in scope, at 3:1 wide: a banner with the product and one line; pain points as three panels; features with callouts; ingredients or materials; how to use in three steps; an endorsement panel only from the user's own quotes.

## Phases

1. Product intake. Look at the product photo inline and write a one-paragraph staging contract you reuse verbatim: the object type and form, material and finish, colours, the label state (the exact printed text if legible, otherwise "blank" or "unreadable"), its size next to a hand, how it opens or is used, one honest imperfection. Lock the angle to the side the photo shows. Lock the claims as a short allowlist.
2. Main image. An EDIT pass, never a reference render: a reference render on google/nano-banana-pro keeps the photo's kitchen or desk no matter how the prompt asks to discard it (verified twice). generate_image on bytedance/seedream-5-pro with the photo in imageUrls, imageSize square_hd, and the prompt "keep the product exactly as it is, same shape, same angle, same finish, and replace everything else with a pure white seamless studio background; the product upright filling about 85 percent of the frame, only a faint soft contact shadow under the base; no props, no text, no logos, no hands" (2048 pixels; a faint grey cast is normal), or openai/gpt-image-2 with the photo in inputImages at 1:1 and quality high when the white mu

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animated-story11.5 KB

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---
name: "animated-story"
description: "A finished story video in 10 second blocks: a style key, a cast sheet per character, a three-act script with a narrator and optional character lines, every take first on ElevenLabs V4 or Seed Audio 1.0 for dialogue, five-shot blocks with a blocking still when two characters share a frame, assembly by construction, captions from the script. Use when: a narrated story with characters; a storybook or bedtime story, a myth or fairy tale retelling, a kids video or kids song video, a picture story, a comic-style short, an animated short with a beginning, middle and end. Not for: an explainer or documentary with no cast (faceless-explainer), a person talking to camera (presenter-video), a live-action cinematic trailer (cinematic-trailer), a single illustration, one character sheet on its own (character-sheet)."
---

# Animated story

Produce ONE finished story video. It runs on the same block engine as the faceless-explainer recipe (fixed 10 second blocks, every take before any clip, five hard-cut shots per block) with a cast that must stay themselves across every block, a narrator, and, when the brief wants them, character lines. Read faceless-explainer with get_skill for the block prompt and character-sheet for the cast; this recipe adds what a story needs.

## Rules that never bend

- Blocks: the duration in seconds divided by ten, whole blocks only. One narration line per block of 20 to 23 words, generated before any clip, never paraphrased, sized to its window.
- One style key image and one style formula of 80 to 100 words for the whole piece, passed or pasted byte-identical into every prompt; one hero portrait per character approved before any block, passed as a reference on every block that shows them.
- The narrator carries the story; characters speak only in declared dialogue blocks, and then only through a voice take laid over the clip, never native video speech, so the words are exact.
- Two characters in one frame means a blocking still for that scene: one wide frame in the style placing each character by their reference on a named position, passed with the cast so the clip keeps who stands where.
- Picture-story mode (the roster stills and one still per block with slow pushes in the assembler) is the cheap path; offer it when the brief is a bedtime story or a picture book.
- No text inside clips. A title card is a designed frame from a text-rendering image model as its own shot; captions come from the subtitles tool with the authored script.
- Nothing about a real person; a named public figure is declined.
- A story with nobody presenting on camera is still full of faces: every character keeps theirs, and the word faceless never enters a cast sheet, a style key or a clip prompt.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the length (60, 90, 120 seconds; recommend 90), the look (storybook watercolour, flat cartoon, clay, paper cut-out, anime, comic ink, 3D toy), the audience (kids or general), the mode (animated clips or picture story), the aspect (16:9 or 9:16). Never ask about models or voices by name. Captions and a title are the one delivery question after the master exists.

## Phases

1. Style key. Write the style formula (medium, line and shape language, palette as five colours, light, texture, camera distance habit, mood; ending in negatives: no photoreal skin, no text, no logos). generate_image one style key on bytedance/seedream-5-pro at 1K from the formula: a neutral scene in the look, no subject. Look at it inline; get a nod. The formula and the key travel with every prompt from here.
2. Story. Three acts across the blocks (a setup, a turn, a payoff), one narration line per block of 20 to 23 words with numbers as words, a through-line object that resolves at the end, a cold open under eight words. Dialogue blocks, when wanted, hold one or two short character lines instead of narration, marked with the speaker

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avatar-video10.9 KB

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---
name: "avatar-video"
description: "A presenter video driven by an audio track, so the words are exact: the identity locked to a portrait, the script by type with every literal on-screen element listed, the voiceover first on ElevenLabs V4 or the user’s own track, the engine by input shape (Omni Human 1.5, Minimax Hailuo 3 Max Avatar, Kling Avatars V2, Sync Lip Sync 3), a frame check before spend, cutaways on the silent beats, captions from the script. Use when: the user asks for an avatar or a lip-synced presenter by name, supplies their own audio track or recording to drive a face, or needs the exact words over a static framing for a long read (a training module, a product walkthrough) where a sheet-based presenter would ad-lib. Not for: the default presenter route where the video model speaks (presenter-video), narration over scenes (faceless-explainer), a product with hands and a narrator (product-reel), a voice clone as the deliverable (clone_voice), dubbing an existing video into another language (dubbing)."
---

# Avatar video

Produce ONE presenter video where the words are exact because the audio comes first and the face follows it. This is the lower-priority route: the default presenter is the presenter-video recipe, where the video model speaks; this one runs when the user asks for an avatar, supplies audio, or the brief needs a long exact read.

## Rules that never bend

- The voiceover is generated first and its real duration read back; the picture is made to the audio, never the reverse. eleven-labs/v4 with a voiceId from list_voices, the user's own recording when supplied, or bytedance/seed-audio-1.0 replicating a voice the user owns from a sample they supplied.
- The script is written by type (a demo: hook, problem, solution, call; an explainer: context, concept, takeaway; a tutorial: what we build, the steps, a recap; a pitch: the pain, the vision, the product, the call; an announcement: hook, what changed, why, what next), and every literal element (a number, a name, a handle, a URL, a call to action) is listed in a critical-text block so nothing is paraphrased. Show it with the word count and the estimated duration before any spend.
- The presenter is addressed only through the attached portrait ("the person in the image"); their appearance is never described in the prompt; that mismatch is the first cause of a wrong face.
- Frame check before spend: the portrait's orientation against the output aspect (a landscape portrait for a 9:16 output is reframed with luma/reframe-image, chest-up and centred, never letterboxed) and a background added when the portrait has none.
- The engine by input shape: a portrait plus audio on bytedance/omni-human-1.5 by default (160 credits per second, audio under 35 seconds; verified: an 11 second read cost 1760 and kept the setting); minimax/hailuo-3-max-lipsync (the most lifelike face; audio 5 seconds to 5 minutes; about 170 credits per second at 1080P; keeps the portrait's shape; it can overact, so a serious line gets a calm delivery in the take) or kling/avatar-v2-pro for a plain talking head at a fixed framing (kling/avatar-v2-standard for the economy version); wan-video/wan-2.7 through generate_video with the track as its reference audio when the scene must be directed (a camera move, a gesture, a place; describe_model names the field); sync/lipsync-3 through lip_sync when the user supplied their own footage to revoice. describe_model on the chosen engine gives its audio length limit, and that limit decides the clip count.
- Cutaways (a product still, a screen, a designed frame with the critical text) sit on the silent or B-roll beats in the assembler; the avatar clips carry no baked text; captions come from the subtitles tool with the script as srtContent.
- Consent: a supplied photo is not permission to impersonate its subject. Decline public figures, minors and anyone the user has no right to use. Never imitate a real person's voice without a sample they own.

## Int

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character-sheet8.94 KB

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---
name: "character-sheet"
description: "An invented character that stays themselves: a fixed-order identity prompt, one approved hero portrait, a split-screen and a slot sheet of views and expressions in one of five style presets, checked for consistency and kept as the anchor other recipes reuse. Use when: a character sheet, model sheet, reference sheet, turnaround, expression sheet, or one invented character held consistent across views, poses and expressions for later images or videos. Not for: a real person's headshots, a single portrait, a thumbnail (thumbnail), a product (product-photoshoot), a face built from someone's photos."
---

# Character sheet

Invent one character and hold them stable. The deliverable is a hero portrait (the identity reference later work attaches), a split-screen (a standing full body on the left, a tight close-up on the right) and, when asked, a slot sheet of views and expressions.

## Rules that never bend

- Original characters only. A real person is never the seed unless the user supplied their photo and has the right to use it; then this recipe only adds views.
- One character per sheet. A second character is a second sheet.
- The identity prompt is written once in fixed order and repeated verbatim in every prompt; iteration changes one clause and keeps the rest.
- Adults have mature facial structure with defined bone and a real age; never a rounded, youthful face on an adult.
- The slot layout is fixed and named in the prompt; the model may not merge or drop slots. No text, labels or slot numbers in the pixels; no watermark.
- The style preset is stated once and repeated verbatim.

## Intake, only for the gaps

Parse the brief: who the character is (age, build, hair, skin, distinguishing features, wardrobe), the world they belong to, the style preset, the use (stories, a mascot, a game, videos, a virtual presenter). Ask in one message only when the character is undefined beyond a name, or the style cannot be inferred from the use.

## Presets

- Photoreal unretouched: real skin with pores, natural light, a phone or camera feel, no beauty filter, faint sensor noise.
- Editorial: studio light with a direction, clean backdrop, a fashion restraint in colour.
- Anime or 2D: flat colour, a named line weight (thin or bold), a consistent eye style, cel shading.
- 3D stylised: soft global light, rounded forms, subsurface skin, a clay or toy finish named.
- Game concept: painterly, a costume with function, a silhouette that reads at small size, a muted world palette with one signature colour.

## Models

google/nano-banana-pro for photoreal and editorial presets; bytedance/seedream-5-pro for anime, 2D and painterly presets and for the realism pass; the split-screen and the sheet always on a model that takes the hero in its reference image field (imageUrls on the two above, referenceImages on runwayml/gen4-image, which is built for character consistency).

## Phases

1. Identity prompt. Write it in this order, one clause each: the composition clause (one identical original character on every view, a white seamless studio); the identity in a sentence (age, gender, ethnicity when given, build); the face (shape, nose, mouth, jaw, skin texture and tone); the eyes (colour, shape, no glare or reflections); the brows; the hair (cut, colour, finish); the realism module for photoreal presets (pores, fine hair, no retouching, a phone or camera feel); the body; the wardrobe head to toe with materials and colours; the light (soft, even, a direction); the quality tail (sharp, natural colour); the negative tail (no text, no extra limbs, no second person, no glare in the eyes, no beauty filter). Then the preset lines verbatim.
2. Hero portrait. generate_image one three-quarter portrait at 3:4 as a draft; for photoreal presets, a realism pass (an image-to-image pass on bytedance/seedream-5-pro that keeps the framing and face and adds pore-level skin and real material detail, no beauty-filter smoothing). Look at it

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cinematic-trailer11.2 KB

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---
name: "cinematic-trailer"
description: "A multi-shot cinematic trailer, teaser, brand anthem, fashion film, car commercial, travel teaser or game trailer run as a phased production: story, treatment, a locked style contract, anchor stills before motion, a shot list on a beat grid, clips in waves, music, then one assembled cut with a designed title. Use when: a multi-clip cinematic trailer, teaser, brand anthem or manifesto film, fashion film, car commercial, travel or destination teaser, game trailer, or short promo with a story, a look and several shots. Not for: a single clip, a talking presenter (presenter-video), a narrated explainer (faceless-explainer), a narrated story with a cast (animated-story), a product with hands and a narrator (product-reel), cutting existing footage."
---

# Cinematic trailer

Produce a short cinematic piece from the user's idea as a phased production, never a single generation. You play each creative role in turn and show its artifact in a few lines of prose before moving on.

## Before planning

Ask once, in one message, only for what the brief did not answer: the target length (about 30 seconds as a teaser, about 60 as a story), the tone or genre, and whether music or a voiceover is wanted. Recommend one option per question.

## Rules that never bend

- The style contract: every image and clip prompt after the style phase includes the style lines verbatim. That is what makes the clips feel like one film.
- Anchors before motion: when a character, vehicle, object, product or place recurs across shots, never go straight to text-to-video. Establish a still first (the user's reference if supplied, otherwise a generated hero still approved by the user), then generate every shot with that subject from the same still, whichever video model the shot lands on. Prose alone drifts. A still costs a few dozen credits; re-rendering one off-model shot costs hundreds.
- The music is briefed with a tempo before the shot list; shot lengths are whole beats or bars of that tempo; cuts land on actions.
- Text is minimal: at most a title and an end card, each a designed frame from a text-rendering image model (google/nano-banana-pro; openai/gpt-image-2 only at 1:1, 2:3 or 3:2) with the exact string, animated with a slow move or placed as an image clip; never an assembler text clip; no text inside the shots.
- Faces: bytedance/seedance-2.5 refuses reference images that show a realistic person, so shots with a person go to minimax/hailuo-3 in reference mode with the still as the reference (2K); a shot in which the person speaks carries its line as a recorded take in referenceAudioUrls, the way presenter-video does, never as native speech from the prompt. Seedance 2.5 takes the shots with nobody in them, where its 30 second takes and camera work shine.
- A voiceover, when wanted, is generated on eleven-labs/v4 from an approved script and cut to its real duration.

## Sub-modes

The brief decides one; it changes the arc and the anchors, never the phases: a trailer or teaser (a hook image, rising fragments, a turn, a title); a brand anthem (a belief, the world it fights, the product or people as proof, the line at the end); a fashion film (one model, three looks at most, movement as the subject, macro texture beats); a car commercial (the car as an anchor still from three angles, a location with weather, driving beats with named camera moves, one interior beat, no invented spec claims); a travel teaser (five places, dawn to night, humans only as silhouettes or hands); a game trailer (a style key, a hero character, three escalating action beats and one quiet beat, the title as a designed frame).

## Phases

1. Story, as a dramaturg: a logline, the theme in one line, a through-line image that resolves at the end, 6 to 10 beats with their seconds and the one turn marked.
2. Direction, as a director: two treatment options in three lines each (world, camera language, the emotional shape, a tempo in beats per minute); re

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faceless-explainer12 KB

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---
name: "faceless-explainer"
description: "A finished narrated video in 10 second blocks: a style key image and formula, an asset roster, a script with a through-line, every narration take first on ElevenLabs V4, five hard-cut shots per block on Hailuo 3 Max, assembly by construction, captions from the authored script. Use when: a narrated video with no one on camera that explains, teaches or documents something; an explainer, a faceless channel video, a documentary or history piece, a how-it-works, a listicle, a kids explainer, \"a video that explains X\" over scenes. Not for: a person talking to camera (presenter-video), a story with characters and dialogue (animated-story), a product with hands and a narrator (product-reel), a single clip, a silent montage, edits of existing footage, a trailer with no narration (cinematic-trailer)."
---

# Faceless explainer

Produce ONE finished narrated video. Nobody speaks on camera; the voice is a narrator. The piece is built from fixed 10 second blocks so the audio and the picture sync by construction: one narration line lives inside its own block, and one clip of five shots fills that block.

## Rules that never bend

- Blocks: the duration in seconds divided by ten, whole blocks only (30 seconds is three blocks, a minute is six). Never a block of any other length.
- One narrator voice for the whole piece, every take generated from the approved script before any clip, never paraphrased, sized to its window (7.8 to 9.5 seconds of speech, 20 to 23 words, two sentences at most, numbers as words).
- One style key image and one style formula of 80 to 100 words, both passed or pasted byte-identical into every asset and clip prompt.
- Every recurring subject (a character, a location, a prop) exists as an approved still in the roster before any clip shows it. Characters never talk; the narrator is external.
- Every block is five hard-cut shots of about two seconds, each different in size and angle from its neighbours; no leading freeze; no re-establishing wide of a location already seen.
- No text inside clips. A section title is a designed frame from a text-rendering image model placed as its own shot; captions are the subtitles tool on the master with the authored script.
- Factual topics carry a sources gate: the user's sources, listed in the delivery; nothing asserted that the sources do not carry.
- Faceless means nobody presents on camera, nothing more. Characters the story shows keep their faces; the word faceless never enters a roster, a style key or a clip prompt.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the length (30, 60, 90 seconds; recommend 60), the look (a named style such as paper cut-out, flat vector, clay, watercolour, photoreal documentary, or reference images as style donors), the tone (friendly, authoritative, playful, calm), the aspect (9:16 or 16:9, by destination). Never ask about models or voices by name. Captions and a title are the one delivery question after the master exists.

## Types

- Explainer: one idea the viewer must understand; the blocks move from the question to the answer to what it means for them.
- History: a chronology with dates spoken as words; one map or place still anchors the setting; archive-like restraint in the look.
- Kids: bright palette, one or two characters with big readable expressions, a gentle narrator; declared dialogue blocks may carry one short character line as a voice take instead of narration.
- Picture story: the roster stills and one still per block with slow pushes in the assembler instead of clips; one narration line per block; the cheapest type.
- Myth, fairy tale or storybook with recurring characters: that is the animated-story recipe (the same block engine plus a cast that stays itself and dialogue takes); stop here and read it with get_skill.

## Phases

1. Style key. Write the style formula (medium, line and shape language, palette as five colours, light

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presenter-video20.4 KB

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---
name: "presenter-video"
description: "A finished vertical video of one person talking to camera about a product or a topic: every line recorded first on ElevenLabs V4, one storyboard sheet per clip through a realism pass, clips on Minimax Hailuo 3 in reference mode that speak the recorded line, a check against the transcript, hard-cut assembly, captions from the subtitles tool. Use when: a person introduces, presents, reviews, pitches, unboxes, tries on or demonstrates something on camera; a presenter, spokesperson, talking head, creator ad, UGC video, \"my avatar says\", \"me explaining\"; also a product alone with hands and a voiceover. Not for: narration over scenes with nobody on camera (faceless-explainer), a product alone with hands and a narrator (product-reel), an avatar or lip-synced portrait driven by an audio file (avatar-video), a cinematic story with several shots (cinematic-trailer), edits of existing footage, voice cloning as the deliverable."
---

# Presenter video

Produce ONE finished 9:16 video in which one person talks to camera. The person is a photo the user supplied or a portrait you generate; every line is recorded first on ElevenLabs V4 and the video model speaks that take, so the words are the script by construction; captions come from the subtitles tool on the finished master. An avatar engine is the exception, used only when the user asks for one by name or a clip fails the transcript check twice.

## Rules that never bend

- One identity for every sheet and clip. Never regenerate the person mid-run.
- Product claims come only from the user's own words, verbatim. With no claims, speak of what is visible. Never invent a number, a result, a review or a price.
- A generated presenter demonstrates and hosts; it never claims to have bought, used or loved the product. Deliver the piece as a demo or a creator concept, never as an organic review.
- Text is never generated into a talking clip and never added by the assembler. Captions are the subtitles tool on the master. The only words inside pixels are a tutorial's step headings on its sheet and a designed title frame when asked.
- Every sheet passes the realism pass; every clip is checked before assembly. A failed clip is re-rendered once with the named fix.
- Consent: a supplied photo is not permission to impersonate its subject. Decline public figures, minors and anyone the user has no right to use. Never imitate a real person's voice.
- Hide the plumbing: display names only, no ids, no phase talk.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the duration (10, 15, 30, 45 seconds; recommend 30), who is on camera (an attached photo, or a generated person with a stated gender and vibe), the product (optional: a photo or a description, never required), the register (natural and engaged recommended; hyped; calm). Never ask about models, aspect ratio, sheets or audio. A brief that carries a duration and a face needs no questions at all. Captions and a title frame are the one delivery question, asked after the master exists.

A one-liner gets the full treatment; a brief with tone or rough flow keeps its direction; a brief with beats or a shot list is mapped one to one.

## Structure by duration

| Total | Clips | Roles |
| --- | --- | --- |
| up to 15 s | 1 | the full arc in one |
| 16 to 19 s | 2 | balanced halves: hook and setup, apply and closer |
| 20 to 30 s | 2 | 15 s hook and setup, the rest apply and closer |
| 31 to 45 s | 3 | hook, main, closer |
| 46 to 60 s | 4 | hook, reveal, apply, closer |
| over 60 s | one per 15 s | the last at least 4 s |

Clips run 10 to 15 seconds; a talking clip carries eight beats, a hands-led clip (unboxing, tutorial, product-only) four. Never one long take.

## Phases

1. Product intake (only with a product). Look at the product photo inline, or read the description, and write a one-paragraph staging contract you reuse verbatim: the object type and form, ma

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---
name: "product-photoshoot"
description: "Finished product photography in one of ten modes, from a product photo or a description, with one product identity across the set, variants that differ by instruction, the typography three-case rule, and a refinement pass only for defects actually seen. Use when: finished product stills; a packshot, catalog or shop images, lifestyle scenes, a closeup with hands, a Pinterest pin, a hero banner, a social carousel, a static ad set, a product worn or used by a model, a conceptual or CGI-style product image, a restyle of an existing product photo. Not for: a video (product-reel), marketplace listing sets (amazon-listing), a paid ad set with a headline and an offer (ad-creative), a text-led carousel (social-graphics), thumbnails and video covers (thumbnail), portraits of people, a creator on camera with the product (presenter-video)."
---

# Product photoshoot

Produce finished product stills. The product is the hero in every mode. Pick one mode, apply its rules, keep one product identity across the set, and refine only what you or the user can name from the pixels.

## Rules that never bend

- The product's shape, colours, label and proportions survive every image. A drift is a failure to fix, never to present.
- One product in frame unless the mode says otherwise; realistic scale next to hands and props; the reference's visible side, never rotated or mirrored.
- Text follows three cases and only these. The user gave an exact string: write it into the scene as integrated typography on a text-rendering model and check the spelling. The user will add text themselves later: ask for one tonally uniform area that belongs to the scene (sky, a blurred background, a smooth surface), never "empty space", which renders as a flat colour band. The user said nothing about text: say nothing about text either, beyond "no text, no logos, no watermark". Never invented label copy.
- Brand facts come from the user, never assumed.
- A set shares one light, one palette and one surface world; variants differ by an instruction (the preset, the light's direction, the camera angle, the palette), never by paraphrase.

## Intake, typed by what the user gave

Parse the brief and classify it, then ask at most one message, only for the real gaps. A photo and a vague ask: three packshot variants at 1:1, say so, ask nothing. A photo and a named use (a pin, a banner, a shop page): the mode is the use; ask only for the exact text when the use normally carries one. A description only: ask for the product's form, colours and label state when the description leaves them open; the first image becomes the reference for the rest. An existing image to restyle: the restyle mode; ask for the target look only when none was given. A model wearing or using it: the virtual-model mode; ask for the wearer's gender and vibe when unstated. A vague brand ask: three lifestyle variants in the brand's palette. Tie-breakers: platform beats environment (a pin over a lifestyle scene, a banner over a scene, a carousel over a single shot, a named genre over a mood). Counts: 1, 3 or 5. Never ask about models, lenses, lighting terms or resolution.

## Models

google/nano-banana-pro at 2K for every render, the product photo passed in the reference image field (imageUrls) and declared in the prompt; bytedance/seedream-5-pro for every refinement pass (image-to-image on the latest version, never the original); google/nano-banana-pro or black-forest-labs/flux-2-pro for a stage that must render an exact text string (openai/gpt-image-2 only at 1:1, 2:3 or 3:2, the only aspects it renders here); ideogram-ai/remove-background for a transparent cutout; recraft-ai/recraft-crisp-upscale for print sizes.

## Phases

1. Product intake. Look at the product photo inline (or read the description) and write a one-paragraph staging contract to reuse verbatim: object type and form, material and finish, colours, the label state (the exact printed text if legible, other

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---
name: "product-reel"
description: "A finished vertical or square product video with a narrator and nobody on camera: product intake, a four-slot storyboard sheet per clip through the realism pass, silent product clips with native sound, one narrator generated first on ElevenLabs V4, music on a beat grid, hard-cut assembly, captions from the script. Use when: a short product video with no one talking on camera; a product reel, a product ad or commercial, a product showcase, hands using the product with a voiceover, a launch teaser for a physical item, an app or software promo built from its screens. Not for: a person presenting on camera (presenter-video), an avatar reading a script (avatar-video), narration over illustrated scenes (faceless-explainer), product stills (product-photoshoot), listing images (amazon-listing), a cinematic story with characters (cinematic-trailer)."
---

# Product reel

Produce ONE finished product video in which the product is the hero and nobody talks on camera. Hands may appear; a face never does, and no identity is carried. The voice is a narrator over the clips, generated first, so the clips are cut to the words and never the reverse.

## Rules that never bend

- The product's shape, label and visible side survive every frame; the staging contract from intake is reused verbatim in every prompt. Exactly one hero product, no clones.
- Claims come only from the user's own words, verbatim. With none, the narrator describes what is visible: materials, mechanism, packaging, what it does on screen. No numbers, ratings or comparisons the user did not write.
- The narrator is generated from the exact script before any clip; every clip is sized to its take's real duration.
- No text inside product clips. A price, a name or a line of copy is a designed frame from a text-rendering image model placed as its own short shot; captions are the subtitles tool on the master with the script, opt-in.
- Phone-real by default: no studio strobes, no dramatic side light, no shallow depth of field, no golden hour. A cinematic look only when the brief asks for a commercial.
- Hands only, never a face, never a real person's likeness. Hide the plumbing: display names only, no ids, no phase talk.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the product (a photo to upload, a URL, or a description), the duration (10, 15, 30 seconds; recommend 15), the destination and its aspect (9:16 recommended, 1:1 for a feed), whether music is wanted, the register (calm and confident, energetic). Ask only for a missing product and a missing duration. Never ask about models. Captions are the one delivery question after the master exists.

## Structure

One storyboard sheet per clip, four slots each, clips of 10 to 15 seconds; the clip count follows the duration (one clip up to 15 seconds, two up to 30, three up to 45, four up to 60, then one per 15 seconds). The four slots: the product in its native context, not yet in use; demo A, the main action; demo B, a visibly different action, scale, context or target (a mouse glides, then the scroll wheel in macro; perfume mists on the wrist, then droplets on skin; a blender spins, then the pour); the result, distinct from slot one, what the product leaves behind. Hands follow the weight class from intake; a pair is one in each hand or one set down. An app or software product shows a blank device screen in the clips and its real screens as designed frames between them, never a generated interface.

## Phases

1. Product intake. Look at the product photo inline (or read the description) and write a one-paragraph staging contract you reuse verbatim: the object type and form, material and finish, colours, the label state (the exact printed text if legible, otherwise "blank" or "unreadable"), its size next to a hand, how it opens or is used, its weight class (heavy needs two hands and visible strain, light one relaxed hand, tiny pinched near

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---
name: "social-graphics"
description: "Static social posts where the words live inside the image: the copy written first, one idea per slide, a cover that hooks and promises the swipe, a save call at the end, every slide rendered with its exact text on a text-rendering model in one locked style, spelling checked. Use when: static social posts with words on them; an Instagram or LinkedIn carousel, quote cards, a story sequence, a text-led announcement post, a tip or listicle post, a sticker pack, a meme with a supplied caption. Not for: a product image set (product-photoshoot), a thumbnail (thumbnail), an ad set with a product and an offer (ad-creative), listing images (amazon-listing), any video."
---

# Social graphics

Produce finished static posts with their text rendered inside the image. Copy first, then one locked style, then one render per slide with the exact words.

## Rules that never bend

- The copy is written and shown before any render; the user's exact words are final; a slide's text is short enough to read on a phone (a headline under eight words, a body under twenty-five).
- One idea per slide. The cover hooks and promises the swipe; the last slide asks for a save, a share or a follow in one line.
- Every slide is rendered on a text-rendering model (google/nano-banana-pro at 2K for 4:5 and 9:16; openai/gpt-image-2 only at 1:1, 2:3 or 3:2; bytedance/seedream-5-pro as the backup) with the exact string quoted in the prompt and its placement named; spelling is checked on every render and a misspelling is re-rendered, never accepted.
- One style sheet (the palette, the type feel, the layout grammar, the image treatment, the logo placement) written once and repeated verbatim on every slide; the logo passed in the reference image field when the brand has one.
- No AI-tell praise in the copy: never "literally", "obsessed", "game-changer", "changed my life", "hits different", "you need this", "trust me", "seamless", "effortless".
- Never a real person's face in a meme or a sticker.

## Intake, only for the gaps

Parse the brief first, then ask in one message only for what it left out: the format (a carousel of N, quote cards, a story sequence, a single post, stickers, a meme), the platform and its aspect (4:5 or 1:1 for a feed, 9:16 for stories), the topic or the supplied lines, the brand palette and logo when there are any. Ask for a missing topic or a missing count. Never ask about models.

## Phases

1. Copy. Write every slide's text: the cover line, one idea per slide, the closing call. Show it; a nod proceeds.
2. Style sheet. Write it in five lines: the palette with hex values, the type feel (a bold grotesque, a serif editorial, a handwritten accent), the layout grammar (text top-left with a wide margin, a full-bleed image with a band), the image treatment (flat illustration, photo with a duotone, plain colour), the logo placement. generate_image slide one on google/nano-banana-pro as the draft at the platform's aspect with the style sheet verbatim, the exact text in quotation marks with its placement, the logo declared when passed; the negatives: no other text, no watermark, no misspelling. Wait, look at it inline, read the text back. The user approves it.
3. Slides. One generate_image per remaining slide in one wave with generate_batch, slide one passed as the reference and declared for style continuity ("image 1 is the style: same palette, type and layout"), the style sheet verbatim, the exact text quoted, the platform's aspect. wait_for_jobs.
4. Check. Look at every slide inline: the spelling of every word, legibility at phone size, the style held. Re-render a failed slide with the same prompt; never accept a misspelling.
5. Delivery. The slides in order with each one's line, an offer of a caption and hashtags as text, and a note on the disclosure when the brief is sponsored.

## Stickers and memes

Stickers: a set of 6 to 12 on a plain white ground, one character or motif in one style, each with its short 

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---
name: "thumbnail"
description: "Click-worthy thumbnails the way the big channels build them: an information-gap concept from sixteen frameworks, a face locked to a reference, an eleven-block house prompt at 4K, one render per concept, surgical tweaks that change one thing, and text only on an explicit ask. Use when: a YouTube thumbnail, a video cover, a preview image, an Instagram cover, bold viral-style packaging for a video. Not for: the video itself, a product still with no packaging intent (product-photoshoot), a carousel or quote card (social-graphics), an ad with an offer (ad-creative), a poster for print, a logo."
---

# Thumbnail

Produce 1 to 3 finished thumbnails that read at 120 pixels wide. The concept comes first, the face is locked to a reference when there is one, the render is checked, and text appears only when the user asked for it, exactly as given.

## Rules that never bend

- A thumbnail is one idea and one information gap: the viewer must need the video to close it. If it needs a sentence to explain, it fails. It never promises what the video does not show.
- Faces come from the user's reference and stay that person; no reference means a generated adult, never a lookalike of a real one. A reference thumbnail the user shows is read by eye for its framework, palette and layout and never sent to the model.
- No text by default. Text only when the user gave the string, at most four words, rendered in a final pass on a text-rendering model, never over a face.
- Contrast beats detail: one bright subject, one dark ground, one accent colour, nothing small. Subjects fill 40 to 60 percent of the frame.
- One generate_image call per concept on google/nano-banana-pro at 4K; never a count parameter. Three concepts means three frameworks.

## Intake, only for the gaps

Parse the brief: the video's subject and its hook, who is in frame (attached or none), the exact text if any, the platform (YouTube 16:9, Shorts and Reels 9:16, Instagram cover 1:1 or 4:5), the brand palette. Ask in one message only for the hook when the brief has no angle, and for the face when a person is implied but none is given.

## Frameworks, one per concept, brainstorm five before choosing

Before and after; a social post or chat card recreated in the scene; a three-step progression; a real screenshot held or shown; a posed portrait with one emotion; a posed action mid-move; a day or count badge as a physical object; a graphical diagram made physical; a landscape with a tiny subject; a map or aerial with one marker; the object huge and lit like a product; repetition of one object many times; a size difference between two things; a news-clip framing; an amplified-reality exaggeration of something true; a versus split only on an explicit layout ask.

## Models

google/nano-banana-pro at 4K with the face passed in the reference image field (imageUrls) and a logo as a second reference when given; runwayml/gen4-image (referenceImages) when the face must hold across three concepts and drifts; surgical tweaks on bytedance/seedream-5-pro as an image-to-image pass on the render; the text pass on google/nano-banana-pro, black-forest-labs/flux-2-pro or reve/2.1.

## Phases

1. Concept. Write one line per thumbnail: framework, subject, emotion (shock, delight, doubt, disgust, fear, smug, curiosity, pride, exhaustion, anger, deadpan), colour pair, and where any text would sit. Show them; a nod or silence proceeds.
2. Render. One generate_image per concept with the house prompt in eleven ordered blocks, one clause each: the frame (poster grade, one unified frame, no split unless asked); the scene brief in one sentence; the text policy (no text, or the exact string and where); the subjects large, 40 to 60 percent of the frame, with an identity-lock sentence per referenced person ("the person in image 1, same face, hair and skin, no changes to the face"); the key elements (the object, the badge, the screen); logo preservation when a logo is attached ("image 

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Release notes

Initial release: generate and edit images, video, voiceover and music on your Pixara account, with finished media shown in an inline viewer.

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