Video
Text to Video AI on Martini
Skip the prompt-tab carousel. Martini's canvas takes one prompt, fans it across Sora 2, Veo, Kling 3, Seedance 2, Runway Gen-4, and Hailuo in parallel, and lets you chain the winner forward into reference frames, lip-sync, audio score, and NLE export — all from a single text brief, no upstream image required.
What this feature solves
Prompt-only video tools have a familiar trap: you write the brief, generate, get a clip that's almost right, edit the prompt, generate again, and burn an afternoon hopping between tabs to find an output that matches the original idea. Each tab is its own subscription, its own quirks, its own export format. The creative ends up shaped by which model you happened to log into rather than which model would actually win the shot. For a creator chasing a specific look, that drift between brief and final clip becomes the work itself, not the storytelling.
The deeper break is downstream chaining. A prompt-driven clip is rarely the final deliverable — it usually needs a follow-up shot for continuity, a character that holds across cuts, dialogue or a voiceover, an audio bed, and a clean export to a real timeline. Single-prompt tools dead-end at the MP4 download. You then re-upload the clip into another tool for lip-sync, into another for audio, into another for upscale, and into a transcoder before it touches your editor. Every handoff loses fidelity and time.
Text-to-video also collides with model selection. Prompts that work brilliantly on one model produce mush on another. A specific cinematic move thrives on Kling, a long lyrical take thrives on Sora, a photoreal plate thrives on Veo. Without a way to test the same prompt across multiple engines side by side, you commit blindly to whichever tool you're paying for that month. The prompt becomes a hostage of the model, not the other way around.
Why Martini is different
Martini turns the prompt into a portable input. Type once into a video node, duplicate the node, swap the model, and run all of them on the same brief. Sora 2 attempts the lyrical take, Veo attempts the photoreal plate, Kling 3 attempts the cinematic move, Seedance 2 attempts the brand-fidelity hero, Hailuo runs a fast cheap iteration. You compare against an identical prompt rather than five different setups, and you pick the winner with full evidence. The prompt-tab carousel is gone — the canvas is the carousel.
The chain is the differentiator. A prompt-only clip on Martini is the start of a sequence, not the end. Wire the chosen take into a follow-up video node for continuity, into a lip-sync node for dialogue, into an ElevenLabs audio node for score, or into a sequence builder for the final cut. The lineage is preserved, so when the brief evolves and you tweak the upstream prompt, every downstream node can re-render from the new source. That kind of dependency-aware iteration is impossible in a tab-based prompt tool.
Export drops into your editor without a transcode. NLE export renders frame-rate-clean MP4 or MOV at 24, 25, 30, or 60 fps with codecs your editor already speaks. Premiere Pro, DaVinci Resolve, and Final Cut Pro open the bundle natively. The brief becomes a sequence, the sequence becomes a timeline, and the timeline becomes a finished cut — all without a single intermediate tool. Prompt-first creators get the orchestration of a real production studio without leaving the canvas.
Common use cases
Pitch a creative concept without any reference imagery
Type the brief, fan it across every model, and present the strongest model-by-model take to the client before the production budget commits.
Generate establishing shots and b-roll from script descriptions
Open the script, paste scene descriptions into video nodes, and pick the model that best matches the tone of each beat.
Storyboard a short film with prompt-only beats
Use the canvas as a prompt-driven previz tool. Each node is a beat, each beat is a take, and the strongest takes assemble into a rough cut for greenlighting.
Test a creative direction before shooting live action
Prompt the camera move, the lighting, the talent action — pick the strongest engine output, and use it as a director reference on set.
Run rapid creative variants for a brand pitch deck
One brief, one canvas, six engines. Show the client the range and pick the look together rather than betting on one tool in advance.
Generate looping background plates for a presentation
Prompt subtle motion ("slow drift over a misty forest") on Sora 2 or Luma Ray and chain into export for a presentation backdrop.
Recommended model stack
sora-2
videoLong-take coherence and lyrical motion from prompt-only briefs.
google-veo
videoPhotoreal plates and natural-light renders without a reference image.
kling-3
videoStrong cinematic camera language responsive to camera-direction prompts.
seedance-2
videoBrand and product fidelity even from descriptive prompts alone.
runway-gen4
videoReliable iteration on creative briefs and editor-friendly outputs.
hailuo
videoFast, low-credit iterations for prompt exploration before committing.
How the workflow works in Martini
- 1
1. Open a video node and write the brief
Drop a video node onto the canvas. Write a tight prompt that describes scene, subject, camera move, and mood. Avoid generic adjectives — specific verbs and shot vocabulary translate better across models.
- 2
2. Duplicate the node and switch models
Right-click the video node, duplicate it three to five times, and assign Sora 2, Veo, Kling 3, Seedance 2, and Hailuo across the copies. Keep the prompt identical so the comparison is clean.
- 3
3. Set duration, aspect ratio, and frame rate
Lock the deliverable specs before generating. Vertical 9:16 for social, horizontal 16:9 for traditional cuts, square 1:1 for in-feed. Frame rate matters at export — pick the rate your timeline expects.
- 4
4. Run the fan-out and review the takes
Launch all branches simultaneously. Each model returns its take from the same prompt. Review on the canvas — the comparison happens visually, not in a download folder.
- 5
5. Chain the winner into the next node
Wire the chosen clip into a follow-up shot, a lip-sync node, an audio score node, or a sequence builder. The text-driven start becomes the head of a real production chain.
- 6
6. Export to your NLE or directly as MP4
Use NLE export for editor handoff at clean frame rates and codecs, or download MP4 for direct social posting. Sequence builder packages multi-shot cuts in order.
Example workflow
An indie filmmaker is workshopping the opening of a sci-fi short and only has a script — no concept art, no reference frames. They open a canvas and write one video node prompt: "slow dolly-in across a fog-soaked alien marketplace at dusk, neon kiosks, distant figures, low ambient hum." They duplicate the node four times and assign Sora 2, Veo, Kling 3, and Seedance 2. After running, Sora wins on the long lyrical drift, Veo wins on the natural-feeling fog, Kling wins on the camera move, Seedance wins on the kiosk detail. The filmmaker takes Sora's take as the master, chains it into a sequence builder with two more text-prompted shots for continuity, layers in an ElevenLabs voiceover from the script, and exports the rough opening to DaVinci Resolve in ProRes 24p — ready to cut into the rest of the short. No reference image required from start to finish.
Tips and common mistakes
Tips
- Lead the prompt with the camera move, then the subject, then the atmosphere. Models read structure as priority.
- Specific verbs beat adjectives. "Push past a dripping faucet" outperforms "intimate close-up of a faucet."
- Run a budget engine like Hailuo first to validate the prompt direction, then fan out to premium engines once the brief lands.
- Different models prefer different prompt lengths — Sora handles prose, Kling responds well to shot vocabulary, Seedance prefers concrete nouns.
- Save the prompt + model combo as a canvas template the moment a take wins. Future briefs are then a one-line edit away.
Common mistakes
- Stuffing the prompt with cinematic jargon. Direct sensory language outperforms film-school vocabulary on every engine.
- Asking one model to do everything. Long take, photoreal plate, hard camera move — different engines, different strengths.
- Quoting fixed clip durations as if they were guaranteed. Each model has its own range and the best length is shot-specific.
- Treating the prompt as final on first pass. Real text-to-video work iterates: review the take, refine the brief, re-run, often three rounds before the winner emerges.
- Skipping the chain. The MP4 from a prompt is rarely the deliverable — wire it forward into audio, lip-sync, sequence, and export so the prompt becomes a finished cut.
Related how-to guides
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Related docs
Related reading
Comparisons
Frequently asked questions
Do I need an image to use text-to-video on Martini?
No. The prompt alone drives generation. If you do have a reference image, dropping it into an image node and wiring it into the video node usually improves consistency, but it is not required for any of the supported text-to-video models.
Which model gives the best text-to-video results?
It depends on the brief. Sora 2 wins long lyrical takes. Veo wins photoreal natural-light scenes. Kling 3 wins cinematic camera moves. Seedance 2 wins brand and product detail. Run them in parallel on the same prompt and pick per shot — Martini is built for that comparison.
How long can a single prompt-driven clip be?
Each engine has its own range, and the available durations shift as the providers ship updates. Plan for short shot-length cuts (a few seconds) and chain multiple clips on the canvas for longer sequences rather than asking a single generation to carry the whole scene.
How is this different from Sora or Veo directly?
Sora and Veo are inside Martini, alongside Kling, Seedance, Runway Gen-4, and Hailuo. The wedge is fan-out: one prompt across every engine on a single canvas, chained into lip-sync, audio, and NLE export. You stop choosing a tool first and instead choose a result.
Can I add sound, voiceover, or music to a text-to-video clip?
Yes. Wire the chosen video clip into an audio node — ElevenLabs for voiceover and dialogue, or chain into the sound effects feature. The canvas keeps the lineage, so re-running the upstream prompt automatically refreshes the audio chain.
Is text-to-video usable for commercial work?
Each model has its own commercial-use policy — check the model card before publishing. Martini provides workspace billing and clean export so production teams can adopt the workflow without separate subscriptions per engine.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.