Lovart is an AI design agent for product visuals, campaign assets, and brand design, with conversational generation, editing, and refinement.
Lovart is an AI design agent for generating and refining visual design work through a conversational workflow. The site positions it as a tool for creating assets such as product-page visuals, campaign posters, and brand system materials from a single prompt or brief.
Its published interface emphasizes generation plus editing rather than generation alone. Users can create an initial design, then make targeted image edits, revise text, and pull visual references to guide the next step in the process.
Lovart can generate design assets from a prompt and then refine the result in follow-up steps. The home page shows a workflow where the system analyzes intent, searches for references, researches brand information, and produces a visual asset set.
Touch Edit supports targeted changes to specific parts of an image without rebuilding the whole composition. The site shows examples such as removing graphics or replacing selected objects while preserving the rest of the design.
Style Consistency is designed to keep a recognizable visual voice across iterations, formats, and projects. The source describes it as preserving the same style as contexts change.
Text Edit separates typography into editable layers so words can be revised without disturbing the surrounding composition. This is useful for changing copy after a layout has already been generated.
Visual Insights searches the web in real time for design references and turns them into creative direction. The feature is positioned as a way to collect references before or during a design task.
Design a product-page hero, close-up shots, and supporting visuals for a retail or direct-to-consumer launch. The home page explicitly shows a prompt for a running shoe product page and a generated visual set that supports PDP layout.
Create a coordinated set of posters or ads for a launch, promotion, or seasonal campaign. The source shows campaign-style outputs and highlights consistency across formats.
Build a repeatable visual system that keeps the same look and feel across multiple assets. This fits teams that need a brand voice to stay consistent as contexts change.
Update generated layouts after the first pass by changing specific objects or text instead of starting over. This is useful when stakeholders need small revisions late in the process.
Collect outside references before generating concepts and use them to guide the creative direction. Visual Insights is presented as a web-based reference search tool for that purpose.
Lovart is presented as an AI design agent that helps create design outputs in a conversation-based workflow. The source shows it can generate assets for product pages, campaign posters, and other visual design tasks, with editing and reference-search features available afterward.
The pricing page says Lovart uses credits to process requests. Credit usage depends on the generation mode, the tool or model selected, the detail of the request, and settings such as image size, quality, style, and advanced parameters.
The pricing page says subscriptions renew automatically at the end of each billing cycle. Users can cancel at any time, and the plan remains active through the end of the current billing period.
The pricing page states that accounts are for individual use, and tasks can run simultaneously on up to 2 desktop web sessions and 1 mobile web session. For team or multi-user usage, the site directs users to the Team Plan.
The home page highlights features such as Touch Edit, Style Consistency, Text Edit, and Visual Insights. The source does not provide a detailed list of export formats, integrations, or supported connected services.
