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AI design

1,156 results · Page 25 of 33

Room Design

AI design

Room Design is an AI-based interior design tool that can instantly redesign a space into a chosen style by uploading a room photo. It supports 39 interior design styles and more than 60 room types, offers a template mode and a custom mode, can generate photorealistic renderings while preserving the room's original layout, and supports smart furniture matching, color and lighting suggestions, and localized editing. Users can try it for free without registering and receive a certain number of free credits, but unlocking 2K/4K resolution and the Pro model requires a subscription.

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RoomHaven

AI design

RoomHaven (also appearing in the material under the name PAKTOTO Roomhaven) is described as an AI visual exploration space for interior design, spatial arrangement, and renovation ideas, rather than a mere image gallery. Its conception starts from small real-world problems, such as a room appearing cramped, a sofa being difficult to place, a wall color being hard to decide, or a renovation plan whose final form has not yet been seen; through an AI-based approach, it translates these ideas into multiple visual versions, helping users have comparable references before buying furniture, changing materials, or making permanent changes to a real space. The material states that its exploration process is like a design decision board: users can start from the function of the space, record dimensions and elements that cannot be moved, and then gradually test furniture layouts, circulation, color combinations, lighting, and materials. The material also emphasizes that AI visual results should be treated as preliminary simulations rather than final promises, that actual colors will be affected by lighting, that furniture dimensions need to be compared with actual dimensions, and that changes involving walls, electrical circuits, plumbing, or structure should be reviewed by qualified personnel; its value lies in narrowing down options early, comparing the effects of different layouts and warm or cool tones, or judging whether an idea still appears proportionally harmonious before actually spending renovation costs. The material does not provide specific models, algorithms, prices, charging methods, or operating steps.

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Roomika

AI design

Roomika is an AI interior design and virtual staging tool. Users upload room photos and enter text prompts to receive photorealistic redesigns in about 30 seconds. It offers 6 modes (redesign, match a room, custom edit, empty the room, stage, place a product) and more than 20 design styles, and supports generating before-and-after videos from favorite redesigns. Aimed at homeowners, real estate agents, stagers, and interior designers, it can be used for pre-renovation previews, virtual staging, and client proposal presentations. The official offerings include one-time passes and monthly subscription plans; specific prices and specifications are subject to the official website.

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Shadcn UI Kit

AI design

Shadcn UI Kit is a collection of interface resources built on Tailwind CSS and React, including admin dashboards, website templates, reusable components, UI blocks, and a Figma UI kit. It is officially stated to help developers reduce the time spent repeatedly building common UI patterns and to launch projects such as admin panels, SaaS applications, landing pages, or online stores more quickly. The resources include 16 production-ready admin dashboards, 17 web app templates, 40+ additional pages, and 100+ reusable components, with all components supporting both Radix UI and Base UI. The templates and components are compatible with the React ecosystem and can be integrated into frameworks such as Vite, Next.js, Remix, or TanStack Start. Website templates built with Next.js and Astro are also provided, along with animated UI illustrations made with shadcn/ui, Motion, and Tailwind CSS. After purchase, you get lifetime access, including future new components and templates, with no subscription required.

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shumai

AI design

shumai is a differentiable tensor library developed by Facebook Research, written in TypeScript and JavaScript, and built on Bun and Flashlight. It supports standard array operations, conversion to and from native JavaScript arrays, and prioritizes computation using a GPU or accelerator. It supports macOS and Linux; on Linux it uses CUDA GPU computation by default, and on macOS it uses the CPU. The library is currently experimental software, and the installation process is still being improved.

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