Video
AI Ad Creative Generator
Skip the agency back-and-forth. Martini generates ad creative — static frames with on-brand text, animated cuts, and aspect-ratio variants — across Ideogram, Flux, Seedance 2, and Runway Gen-4 on one canvas. Every CTA variant, every cutdown, every platform spec from a single workflow you save and re-run for the next campaign.
What this feature solves
Modern paid media demands volume. A single campaign needs static frames at 1:1, 4:5, 9:16, and 16:9, plus 6-, 10-, and 15-second video cutdowns, plus three to five copy and CTA variants per format. The math turns brutal fast: one concept becomes thirty assets before the first impression. Most performance teams either ship four assets and call it a day, or burn the production budget rebuilding the same creative across browser tabs and template tools.
The text-in-image problem has historically blocked AI from owning this workflow. Earlier image models butchered headline copy, fudged the CTA, and forced designers back into Figma. Newer models like Ideogram render brand-quality typography directly inside the image, but switching between an image tool, a video tool, a layout tool, and an export tool still kills the speed advantage. Performance teams need every step in one place or the AI savings vanish in the handoff.
Then there is the iteration problem. The point of testing is to ship variants — different headlines, different CTAs, different motion treatments, different scenes. Without a workflow that fans one concept into many variants in parallel, A/B testing devolves into manual rebuild work and the campaign ships under-tested.
Why Martini is different
Martini owns the full ad creative pipeline on a single canvas. Drop a brand brief into a text node, generate the visual concept in an image node using Ideogram for text-in-image or Flux for editorial style, then chain into Seedance 2 or Runway Gen-4 for animated cuts. The sequence builder orders the shots, and aspect-ratio forks produce 1:1, 9:16, and 16:9 variants from the same source. Every model picks its own engine, and the canvas treats the whole thing as one campaign pipeline.
Variant generation runs as fanout. Duplicate the headline node with three copy variants, duplicate the visual node with two style treatments, and the canvas builds you six creative variants from one branching graph — without rebuilding from scratch. The lineage is visible: every shipped asset traces back to the prompt, model, and reference that produced it. When the winning variant lands, you know exactly why.
Reuse compounds. Save the canvas as a template after the first campaign, and the next launch swaps the brief and the brand assets — same workflow, new creative. Performance teams who used to ship four assets per campaign now ship thirty without growing headcount, and the saved templates become the agency operating system the team builds on top of.
Common use cases
Multi-format static and animated ads from one concept
Generate 1:1 feed, 9:16 vertical, and 16:9 in-stream variants — both static and animated — for Meta, TikTok, and YouTube from one canvas pipeline.
A/B headline and CTA testing at scale
Fan one visual concept into five headline variants and three CTAs in parallel and ship the full test matrix to your ad platform.
On-brand text-in-image ad copy
Use Ideogram to render headline and CTA text directly inside the image at brand quality — no Figma round-trip for typography.
Campaign launch creative for product drops
Build the full launch creative kit — hero image, animated cut, aspect variants, and copy permutations — in one canvas before launch day.
Repeatable performance creative templates
Save winning canvas pipelines as templates and rerun them for every weekly creative refresh without rebuilding the workflow.
Concept exploration for client pitches
Generate ten visual treatments and three motion directions in an afternoon to walk into the pitch with real options instead of mood boards.
Recommended model stack
ideogram
imageBest-in-class text-in-image rendering for headlines, CTAs, and brand typography.
flux
imageEditorial-grade visuals and brand-consistent style treatments.
seedance-2
videoReference-locked motion for animated ad cuts that hold the brand.
runway-gen4
videoDirector-level controls for editorial and stylized ad motion.
nano-banana-2
imageIterate on visual variants while preserving the core composition and product.
kling-3
videoCinematic camera moves for hero ad cuts and brand reveals.
How the workflow works in Martini
- 1
1. Capture the brief in a text node
Drop the campaign brief, brand voice notes, and headline directions into a text node. Keep it readable — downstream prompts will reference it.
- 2
2. Generate the static concept
Wire the brief into an image node. Use Ideogram when the ad needs headline text inside the visual, Flux for editorial visuals without text, Nano Banana 2 for product-anchored composites.
- 3
3. Animate the winning concept
Chain the static frame into a video node — Seedance 2 for brand fidelity, Runway Gen-4 for editorial motion, Kling 3 for cinematic camera moves. Run two or three in parallel.
- 4
4. Fan out copy and visual variants
Duplicate the headline text node with three CTA variants, duplicate the image node with two visual treatments, and let the canvas build the test matrix automatically.
- 5
5. Order shots in a sequence and fork aspects
Drop hero, supporting, and CTA frames into a sequence node. Duplicate the sequence for 1:1, 9:16, and 16:9.
- 6
6. Export the creative kit
Use NLE export for animated cuts and image export for static frames. The full multi-format kit lands ready for upload to Meta Ads Manager, TikTok, and YouTube.
Example workflow
A growth team at a B2B SaaS company has a feature launch and needs paid social creative across Meta and LinkedIn within 48 hours. They drop the launch brief into a text node and pull up the brand kit. From the brief, they generate three Ideogram concepts with the launch headline rendered in the visual, plus two Flux editorial backgrounds. The chosen Ideogram frame chains into Seedance 2 for a slow push-in, and Runway Gen-4 produces a parallel editorial cut. They duplicate the headline text node with three CTA variants — Try free, Book a demo, See it live — building nine creative permutations. The sequence builder forks for 1:1 and 9:16. NLE export drops the animated kit and the image variants together. The team ships eighteen test assets to Meta and LinkedIn, all on-brand, all in two days.
Tips and common mistakes
Tips
- Use Ideogram when the ad needs text rendered inside the visual. Other models will misspell or distort the headline.
- Generate the static frame before the animated version. Lock the concept once, then animate it — do not generate motion blind.
- Fan out CTA variants from the same visual rather than re-generating the visual per CTA. The visual is the expensive part; copy is cheap.
- Save the campaign canvas as a template the moment a workflow ships winners. Weekly creative refreshes should take an hour, not a day.
- Match the model to the brand voice. Flux for editorial brands, Ideogram for type-driven, Seedance for product-anchored.
Common mistakes
- Trying to render headline text in models that were not built for it. Use Ideogram for text-in-image, full stop.
- Generating one creative and calling the campaign done. Performance lives in the variant test, not the single asset.
- Skipping the aspect-ratio fork and exporting only 1:1. You will lose half your placements before the campaign goes live.
- Forgetting to save the canvas. The second campaign should reuse the first one as a template, not rebuild from scratch.
- Mixing brand fonts in image gen with system fonts in video gen. Pick one model that handles your typography end to end.
Related how-to guides
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Related docs
Related reading
Comparisons
Frequently asked questions
Which model handles headline text inside the image best?
Ideogram is purpose-built for text-in-image and renders headlines, CTAs, and brand typography at quality high enough to ship. Other image models like Flux and Nano Banana 2 are stronger for editorial visuals and product composites but will distort longer text — use them for the visual, then add Ideogram for any text-bearing variant.
How many variants can I produce from one concept?
As many as your canvas branches allow. A typical campaign canvas fans one visual into three copy variants, two visual treatments, and three aspect ratios — that is eighteen assets from one workflow. Performance teams routinely ship 20-50 assets per campaign on a single canvas.
Can I match my brand colors and fonts?
Yes. Ideogram and Flux both accept style references and brand color guidance in the prompt. For strict brand-color matching, generate the visual then push it into a downstream image-edit node with the brand palette locked. Save the configuration as a template for every future campaign.
How does this connect to Meta Ads Manager and TikTok Ads?
Martini exports the creative as standard image and video files (PNG, JPG, MP4 with H.264) at the platform spec resolutions. Upload directly to Meta, TikTok, LinkedIn, and YouTube — no transcode, no resize, no platform-specific re-render.
Can I A/B test different motion directions?
Yes. Duplicate the video node with different prompts or different models — Seedance 2 for one push direction, Kling 3 for a counter direction — and ship both into the same campaign as variants. The ad platform picks the winner based on actual performance, not preview vibes.
How is this different from a generic image generator?
Generic image generators produce one frame in one tab. Martini chains image generation, animation, sequence assembly, and aspect-ratio variants into one canvas — and saves the whole pipeline as a reusable template. For one-off social posts, a single tool is fine. For weekly creative production, the canvas compounds.
Build it on the canvas
Open Martini and wire this workflow up in minutes. Free to start — no card required.