Exploded-View Product Reveal — trending format for product videos
For AI agents: find the right skill in one call —
curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the use-case page.
A product or dish floats apart into labeled layers, then snaps back together: a 3D-ad look from one photo.
- Slug:
want-exploded-view-reveal - Status: wanted
- Publisher: M-studioAi (community)
- Source: https://x.com/Strength04_X/status/2006031630268522943
- Cost: ~70–90 credits / clip (estimate) — Two Nano Banana 2.1 keyframes at 5.25–15.75 each + a 5 s Kling v3 interpolation (~59), catalog of 2026-10-23.
What it does
A product (or a taco) separates into its parts along a clean axis, labeled with thin leader lines and weights, then magnetically reassembles: the kind of shot that used to need a CAD model and a 3D artist. The recipe is to generate an exploded-view still and an assembled still with matching light, animate between them with first/last-frame video, and reverse it. An agent asks for one product photo, writes the parts list, renders both keyframes with Nano Banana 2.1, interpolates with Kling v3 or Veo 3.1, and adds the labels in HTML so the text stays sharp.
Status
A format people ask for that has no dedicated skill yet. Make it with the skills on the use-case pages below, or with varg directly.
Example: https://x.com/Strength04_X/status/2006031630268522943
How an agent would make it: Product photo → parts list → exploded keyframe + assembled keyframe with matching light (Nano Banana 2.1) → first/last-frame interpolation (Kling v3 / Veo 3.1) → reverse → HTML labels
Models it drives: nano_banana_2_1, kling_v3, veo_3_1
Example output
https://skills.varg.ai/previews/want-exploded-view-reveal.mp4 — A floating taco separates into five ingredients stacked top to bottom with thin leader lines and gram labels, then reassembles (0.8–8.8 s of 8.8 s; Nano Banana Pro + Kling) (credit: M-studioAi (@Strength04_X), https://x.com/Strength04_X/status/2006031630268522943)
Used for
- Product video from a photo: A product shot turned into a short promo: orbit, push-in, exploded view or bullet time, with music.
More product videos skills
- Higgsfield Marketplace Cards: Produce marketplace listing images: a compliant main image, secondary shots and A+ content modules.
- Higgsfield Product Photoshoot: Shoot brand-quality product images in 10 modes: studio, lifestyle, hero banners, ad packs, try-on and more.
- fal Commercial: Plan and run product photography, e-commerce batches, product reveal videos and lifestyle commercials.
- AI Product Photography: Generate commercial product shots, lifestyle scenes and mockups with FLUX, Imagen 3, Grok and Seedream.
- Product Photography: Apply packshot conventions to AI product photos: angles, backgrounds, shadows, hero shots, store specs.
- ASO App Store Screenshots: App Store screenshots from your codebase: finds the core benefits, pairs simulator shots, then composes and enhances.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt