Masonry

Masonry is a web-based creative studio that gathers 50+ image and video models on one collaborative canvas. Users describe a project, compare outputs, refine them and export campaign-ready visuals, with templates for ads, catalogs and social sets.

Masonry is a browser-based creative studio that brings image and video generation from many AI models into a single shared canvas. Instead of switching between separate apps for each model, a user briefs the system in plain language, such as a product ad, a brand kit or a set of social posts, and receives several results to compare side by side. The homepage cites more than 50 models, including Nano Banana 2, GPT Image variants, FLUX.2, Kling, Veo, MiniMax and Ideogram. The workflow follows four stages. A project is described first, then Masonry routes the idea to suitable image and video models and returns options. Those results can be edited, restyled and extended on the canvas, with the stated ability to keep one product visually consistent across a whole set of images. Finished assets are exported for use in campaigns, from single hero shots to full sets. Dedicated tools cover text-to-image, image editing, video generation, upscaling and background removal, and a template library offers starting points such as catalog shots on white, lifestyle scenes, ad variants for A/B testing, resized creatives for feed, story and banner formats, packaging mockups and storyboards that are then animated. The audience is mainly marketers, e-commerce sellers, brand teams and independent creators who need production-ready visuals without building a pipeline of separate subscriptions. A public gallery shows community projects along with the exact prompts and the model used, which helps newcomers learn what prompt detail produces what result. Landing pages also exist for niche uses such as interior, landscape and home exterior design. Among alternatives, Masonry competes with single-model generators and with multi-model aggregators. Its distinguishing angle is the collaborative canvas and the template-driven, campaign-level approach rather than one-off image generation. Buyers should check the model pages for each route, since availability and quality differ between engines, and confirm current credit and plan terms after signing up.