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AI Interior Designer
Overview
AI Interior Designer is a Generative Pre-trained Transformer (GPT) that assists users in designing and decorating their homes based on specific user input.
Users can interact with this tool by submitting a variety of prompts to articulate their design preferences and receive a generated design or design ideas accordingly.
The chat-based interface that this GPT uses allows for a dynamic conversation about interior design choices. This tool can work with a wide range of design styles as demonstrated by its prompt starters.
For instance, users can request for a Scandinavian style for their living room or a room with natural material elements. It can also suggest ways to alter the color palette of a room to fit the user's liking, or inspire them with specific genre elements, such as cyberpunk.
This GPT can be a valuable tool for those looking to design a space but need a starting point or some guidance in the process. Its ability to generate varied design ideas based on straightforward prompts makes it very user-friendly and versatile.
Thus, it can facilitate the design process, giving users the convenience and creativity of an interior designer, all powered by AI.
Releases
Top alternatives
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Michael Israel🙏 36 karmaNov 2, 2023@Interior AIDO NOT PAY FOR THIS. TERRIBLE PRODUCT, THERES FREE ALTERNATIVES OUT THERE THAT ARE JUST AS GOOD IF NOT BETTER. TRUST ME.
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The application arbitrarily adds doors and windows, making the final design unusable. It also changes the view from the window. In the final you are looking at a completely different room than the one you are interested in redesigning.
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Fun, but weird. It thought my flat screen tv was a window in every render. Runners and bricks mid-floor. Other strangeness.
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OpenNew chat-first studio: – Rebuilt the core chat experience as a unified workspace for prompts, image inputs, iterations, and results. – New guided controls (space type, style, settings) to structure pro briefs and reduce trial-and-error. – Faster iteration loop for multi-step edits (repaint, restyle, add/remove items, material swaps). New agentic infrastructure: – Introduced an agent-based orchestration layer that routes each request to the most suitable workflow (from-scratch generation vs photo-based redesign). – Improved context handling across turns to keep revisions aligned with the same scene and direction. – More predictable handling of multi-instruction prompts to reduce “try again” loops. New top-tier model support: – Expanded support for high-quality image generation models to improve photorealism, lighting consistency, and material detail. – Better default model selection behind the scenes based on task complexity and input type. New pro workflow building blocks: – Projects/Collections for saving versions and comparing directions across a single room or a full project. – Pinterest boards as reference inputs for moodboard-guided iterations. – Product Finder updates for matching items from scenes and linking to vendor stores. Performance & stability: – Improved generation responsiveness and general stability across the app.
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