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Lovart’s generative design platform users enables users to generate up to 40 high-fidelity, premium assets in minutes with just a simple text prompt or a reference image by assessing and analyzing the brand’s requirements, business context, and the target audience

July 25, 2025 //  by Finnovate

Lovart, a bold AI design and branding Agent, has officially launched its long-awaited generative design platform, exiting Beta with a bold mission: to generate six figure or higher branding and advertising campaigns using nothing more than a single text prompt. Under the hood, Lovart is powered by its proprietary creative reasoning engine, MCoT (Mind Chain of Thought). Going as far as assessing and analyzing the brand’s requirements, business context, and the target audience, its output is on par with top-tier Creative Directors and professional-grade visual assets. With just a simple text prompt or a reference image, users can generate up to 40 high-fidelity, premium assets in only minutes. From branding kits, social posts and storyboards to UI flows and even packaging, Lovart delivers a breadth of output rarely seen in a single platform. But what truly sets it apart is its creative intelligence – the first of its kind to infuse visual outputs with an unexpected, witty, and human-like flair. The Features Redefining Creative Work: ChatCanvas – Lovart’s “ChatCanvas” is an infinite, intelligent canvas that responds to intent through shared visual and dialogue. It is built for true creative collaboration between humans and AI. Multi-agent Co-Creation – Autonomous Design Intelligenc; . Long-Term Recall –  . Learns and Predicts Workflow Habits – Advanced Canvas Editing –Top AI Models Under One Roof – As a full-spectrum creative suite, Lovart also supports cross-modal generation across image, video, and audio. Lovart supports top AI models including GPT Image-1, Flux Kontext, VEO3, OpenAI-o3, Gemini Imagen, Kling AI, Hailuo, Tripo AI, Recraft v3, Runway Gen-4, Ideogram 3.0, Rodin, and more.

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Category: Channels, Innovation Topics

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