What is Martini?

Most AI tools give you a single chat input or a single generation form. Martini gives you a 2D canvas. Drop an Image node here, a Video node next to it, an Audio node below, a Text node above. Connect them and a workflow emerges — a reference image feeds a video model, the video output feeds a lip-sync, the lip-sync output joins a multi-shot timeline, and so on. The canvas keeps every step visible so you can see, edit, and re-run any part of the pipeline without rebuilding from scratch.

The advantage is composability. A creative brief that needs three images, a 6-second video, a voiceover, and a final cut becomes a single canvas instead of five separate tabs. When the client asks for a revision, you change one node, and the downstream steps re-run from that point. The canvas becomes the artifact — not just the outputs.

Martini is not married to one model. The platform integrates dozens of image, video, audio, and text models from providers like OpenAI, Anthropic, Google, FAL, Runway, Kling, Hailuo, ElevenLabs, and Suno. Each node has a model picker so you can pick the right tool for the job — a fast cheap iteration model for drafts, a flagship cinematic model for the final cut, a specialized character-consistency model for narrative work.

Behind the canvas, Martini handles the orchestration: API calls, credit accounting, queue management for long-running video jobs, webhook callbacks, retries on transient failures, and refunds on provider-side errors. You see the result on the canvas; the plumbing is invisible.

Common Martini workflows include: image-to-video clips for social and ads, multi-shot storyboards with character consistency, voiceover-driven explainers with lip-sync, music tracks generated from text and paired to visuals, scripted narrative shorts with text-to-image-to-video pipelines, and product photography variants with style transfer. Anything that combines two or more generation types fits the canvas model better than a single-model tool.

Teams use workspaces to share canvases, pool credits, and keep client work organized. Solo creators use personal projects to iterate quickly. Enterprise teams use the platform with SSO, audit logs, and custom credit pools for production workflows at scale.

Sign up, create your first project, and drag a node onto the empty canvas. Pick a model from the dropdown, write a prompt, and click Run. The output appears on the node within seconds (image) or minutes (video). Connect that output to another node and chain a second step. There is no scripting required — the canvas is the interface.

The free plan lets you evaluate the platform with a small monthly credit allowance. Paid plans unlock commercial use, more credits, more models, and higher resolutions. See the team-plans article for workspace billing options if you are evaluating Martini for a team.