Morisot AI: Bir

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Morisot AI is a visual exploration platform that combines AI image generation with an infinite canvas workspace. Instead of generating single images in isolation, Morisot AI helps you explore multiple creative directions simultaneously. Enter vague concepts, upload reference images, and generate variations that populate your workspace. Arrange, compare, and iterate visually rather than managing files in folders. The system is designed for designers and creative professionals who think spatially.

Unlike traditional image generators that show results in a linear list, Morisot AI provides an unlimited spatial canvas where you can arrange generated images freely. This spatial approach mirrors how designers naturally work with mood boards and inspiration walls. You can group related ideas, create visual hierarchies, and see connections between concepts. The canvas remembers your layout, so returning to a project feels natural rather than hunting through file lists.

Absolutely. Morisot AI excels at understanding visual references. Upload product photos, sketches, inspiration images, or existing designs, and the system will analyze composition, style, lighting, and aesthetics. You can combine multiple references to guide generation or use a single image as a starting point. This image-first workflow is perfect for designers who communicate visually rather than through text descriptions alone.

Morisot AI allows you to generate multiple variations simultaneously. When you enter a prompt or select references, you can choose how many interpretations to generate. These images appear on your canvas automatically, spatially arranged for easy comparison. This batch approach accelerates exploration by showing diverse options at once rather than forcing you to generate, evaluate, and regenerate sequentially.

Morisot AI generates high-resolution images in standard formats suitable for professional use. You can specify any aspect ratio your project needs: square formats for social media, landscape for web banners, portrait for mobile screens, or custom dimensions for specific requirements. Output resolution is configurable, and images export cleanly for use in design tools or directly in marketing materials.

Yes. All canvases you create, images you generate, and references you upload remain private to your account. Morisot AI does not share your creative work publicly or use your content to train models without explicit permission. Your projects are automatically saved and accessible only to you, ensuring confidentiality for client work and proprietary designs.

Morisot AI uses a credit-based pricing model. Each image generation consumes credits based on size and complexity. You can subscribe for monthly credit allocations or purchase one-time credit packs that never expire. All subscription tiers include full access to the canvas workspace and generation features. Credits simply gate how many images you can generate per month.

Yes. Images you generate with Morisot AI are yours to use commercially without additional fees or licensing requirements. Use them in client projects, marketing campaigns, websites, social media, or any commercial application. There are no hidden royalty obligations or usage restrictions beyond standard content guidelines.

Morisot AI automatically saves every canvas session. You can return to any project at any time, even months later, and find your images exactly where you arranged them. This persistent memory means you can work iteratively over days or weeks without losing context. Export final selections when ready or keep exploring until you find the perfect direction.

Simply sign up with your email or Google account to access the studio workspace. New users receive trial credits to explore the platform. Once logged in, create a new canvas, enter a concept or upload a reference, and generate your first images. The interface is designed to be intuitive: no tutorials required. Start with simple prompts and experiment with the spatial canvas to discover how Morisot AI fits your creative workflow.