Video
AI Video Generator on Martini
Every shot needs a different engine — Sora 2 for the long take, Seedance for the product hero, Kling for the camera move, Veo for the photoreal plate. Martini's canvas runs all of them in one place so you orchestrate the right model per shot, fan out variations in parallel, and export the cut to your NLE without leaving the workspace.
What this feature solves
Producers running real shot lists hit a model-selection wall fast. Sora handles the lyrical long take, Seedance nails the product macro, Kling owns the cinematic camera move, Veo renders photoreal plates, Hailuo iterates portraits cheaply, and no single tool ships all of them. Hopping between five tabs to assemble a thirty-second spot means re-uploading references in each one, paying separate subscriptions, and reconciling outputs that come back at different frame rates and aspect ratios. The shot list slips, the producer slips, and quality degrades because every shot lives in isolation from the next.
The next break is reference reuse. A real campaign needs the same product, same talent, same color script across every cut — and tab-based AI tools force you to re-paste the reference into every new session. Lighting drifts. Wardrobe drifts. Brand colors drift. By cut six the campaign no longer looks like one piece of content. Teams resort to manual color correction in post just to bring drifted clips back into the brand palette, which is a tax on every project that scales with shot count.
Finally there is the export gap. Most AI video tools spit out an MP4 with whatever frame rate the model picked and whatever codec the platform compresses to. Editors then transcode through HandBrake or Adobe MediaEncoder before the clips become usable in Premiere, DaVinci Resolve, or Final Cut. That round-trip eats hours per campaign and degrades quality on every pass. A real production tool has to ship files that drop cleanly into a timeline at the frame rate the editor chose, not the frame rate the model chose.
Why Martini is different
Martini puts every major video model on the same canvas. One image node, one prompt, one reference — fanned across Sora 2, Seedance 2, Kling 3, Veo, Runway Gen-4, and Hailuo simultaneously. You compare takes against an identical source, pick the winner per shot, and chain the choice forward into the next node. The model is a setting on a node, not a separate tool with its own login. The orchestration is the value: one canvas, every engine, one set of references shared across the entire production.
Reference handling is built into the canvas. Drop a brand still, a character portrait, or a color script frame into a reference slot once, and every downstream video node consumes it automatically. Swap the prompt, swap the model, but the reference travels with the chain. When a take lands, you can wire it forward into a follow-up shot, a lip-sync node, or an audio score without re-uploading anything. Lineage is preserved so you can rewind, swap a model, and re-render every dependent node downstream — production-grade iteration that single-prompt AI tools cannot offer.
Export is engineered for editors. NLE export renders frame-rate-clean MP4 and MOV files at 24, 25, 30, or 60 fps with H.264 or ProRes-friendly codecs. Drop the bundle into Premiere Pro, DaVinci Resolve, or Final Cut and start cutting — no transcode, no re-link, no codec mismatch. The sequence builder packages every shot in the right order so the eight-cut spot lands as a real edit, not a folder of orphan files. That's the difference between a creative sandbox and a production tool a real editor will adopt.
Common use cases
Run a multi-engine shot list for a brand spot
Pick the strongest model per shot — Sora for the establishing take, Seedance for the product macro, Kling for the camera push — and assemble the cut on one canvas.
Fan out the same prompt across every video model
Wire one reference into Sora 2, Seedance 2, Kling 3, Veo, and Hailuo in parallel and pick the take that wins motion, color, and brand fidelity.
Stand up a production pipeline for a creative agency
Build a canvas template that covers establishing shot, product hero, talent close-up, and b-roll, then reuse it across every campaign.
Generate launch trailer cuts for a startup demo
Combine text-to-video opening shots with image-to-video product hero cuts and chain into score and voiceover for a complete trailer.
Reshoot a problem cut without rebuilding the whole sequence
Swap a single shot in the canvas — change the model, change the prompt — and the rest of the timeline stays intact for instant re-export.
Compare models for a creative pitch deck
Run identical prompts across all engines and present the take comparison to the client so they pick the look before the production budget commits.
Recommended model stack
sora-2
videoLong-take coherence and lyrical motion when the shot needs flow.
seedance-2
videoStrongest reference adherence for product, brand, and packaging shots.
kling-3
videoCinematic camera language and dynamic push, pull, and orbit moves.
runway-gen4
videoReliable iteration for editor-friendly cuts and rapid revisions.
google-veo
videoPhotoreal plates and natural light for live-action-style coverage.
hailuo
videoFast iterations and budget-friendly sweep for high-volume cuts.
How the workflow works in Martini
- 1
1. Open a canvas and define the shot list
Create a video node per shot you need. Label each with the shot type — wide, medium, hero, product macro — so the canvas mirrors the shot list and the team can scan it at a glance.
- 2
2. Drop references into image nodes
Upload the brand still, character portrait, or color script frame into image nodes and wire them into the corresponding video nodes. The reference becomes the visual anchor every model sees.
- 3
3. Pick a model per shot and write the motion brief
Set Sora for the long take, Seedance for the product hero, Kling for the move, Veo for the plate. Prompt only the motion — the model already sees the reference and the prompt should not restate the visual.
- 4
4. Fan out for hero shots
Duplicate the video node, swap the model, and run them in parallel. The same reference and prompt drive every branch so you compare takes against an identical source rather than against drift.
- 5
5. Chain winners into follow-up nodes
Wire chosen takes into lip-sync, audio score, or sequence builder nodes. The canvas tracks lineage so swapping an upstream choice automatically refreshes everything downstream.
- 6
6. Export the sequence to your NLE
Use NLE export to bundle every shot in cut order at clean frame rates and codecs. The export drops into Premiere Pro, DaVinci Resolve, or Final Cut Pro without a transcode round-trip.
Example workflow
A creative agency is producing a thirty-second product spot for a beverage launch. The shot list calls for an establishing café exterior, a hand-pour macro, a talent close-up, two product macros at different angles, and a logo close. They build a canvas: one Sora 2 node for the café establish, two Seedance 2 nodes for the product macros (label fidelity matters), one Kling 3 node for the slow-motion pour, one Veo node for the talent close-up under natural window light, and one Sora 2 node for the hero logo close. Brand color script and product reference are wired into every node. They fan out two takes per shot, pick the winners, sequence the cut, and export to Premiere as ProRes 24p. The editor opens the bin, drags the sequence onto the timeline, and starts cutting in under five minutes.
Tips and common mistakes
Tips
- Build a shot list inside the canvas before you generate. The node graph mirrors the cut, so the canvas becomes the production document.
- Match model to shot type: Sora for flow, Seedance for fidelity, Kling for camera moves, Veo for photoreal plates, Hailuo for budget sweep.
- Always run two or three models in parallel for hero shots. Different engines win different takes even with identical references.
- Chain a polished still into a video node rather than feeding raw references into video models — image-locked stills anchor video output more reliably.
- Save the canvas as a template once a shot pattern works. The next campaign fan-out is a prompt swap, not a rebuild.
Common mistakes
- Treating Martini like a single-model tool. The orchestration value disappears if you stay on one engine for every shot.
- Re-describing the reference in the prompt. The model already sees the image — prompt the motion, not the visual.
- Mismatched aspect ratios across the shot list. Decide 16:9 or 9:16 before generating so the cut sits coherently in the timeline.
- Skipping NLE export and downloading raw MP4s. The transcode round-trip costs an hour per campaign and degrades the file each pass.
- Locking into the first model that works. Fan out to the others in parallel — the winner is rarely the first guess.
Related how-to guides
Related models and tools
Tool
AI Video Upscaling
Upscale generated video outputs on Martini's canvas.
Tool
AI Video Frame Extraction
Extract frames from video for reference and image-to-video workflows.
Tool
AI Camera Control
Camera movement and angle control for AI video on Martini.
Provider
OpenAI
OpenAI's GPT Image and Sora video model workflows available on Martini.
Provider
Google's Veo video, Imagen image, and Nano Banana model workflows on Martini.
Provider
ByteDance
ByteDance's Seedance video and Seedream image model families on Martini.
Provider
Kling
Kling 3, O3, and Avatar video model workflows on Martini.
Provider
Runway
Runway's Gen4, Aleph, and image model workflows on Martini.
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Related docs
Related reading
Comparisons
Frequently asked questions
Which AI video model is best?
There is no single best — different engines win different shots. Sora 2 leads on long-take flow, Seedance 2 leads on reference adherence, Kling 3 leads on cinematic camera moves, Veo leads on photoreal plates, Hailuo leads on budget iteration. Martini puts all of them on one canvas so you pick per shot rather than picking once.
Is this a Sora or Veo competitor?
No — Sora, Veo, Kling, and Runway run inside Martini. Martini is the orchestrator, not a replacement model. The wedge is multi-engine fan-out, reference reuse across models, and NLE-clean export, not a proprietary video engine of our own.
Can I use Martini for commercial work?
Yes. Each model carries its own commercial-use policy — read the model card before you ship. Martini provides workspace billing, usage tracking, and clean codec output so the agency or studio side of the production passes editorial review.
How does multi-model fan-out cost work?
Each generation deducts credits from the model that ran it, so fanning out costs the sum of the branches. In practice, three parallel takes on a six-second shot is cheaper than re-rolling a single model six times and gets you to the winner faster.
Will the output cut cleanly in Premiere Pro or DaVinci Resolve?
Yes. NLE export renders MP4 and MOV files at standard frame rates (24, 25, 30, 60) and codecs that Premiere Pro, DaVinci Resolve, and Final Cut Pro open natively. No HandBrake, no codec mismatch, no re-link — the sequence drops onto the timeline ready to cut.
How does this differ from Runway or Pika?
Runway and Pika each give you one engine in one tab. Martini orchestrates Sora, Seedance, Kling, Veo, Runway Gen-4, and Hailuo on one canvas with shared references and chained handoff to lip-sync, audio, and NLE export. The orchestration is the differentiator.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.