A specific idea to build and test, not a ready-made template. Starting opens an editable prompt; it does not begin a paid generation.
The useful part
What someone would do.
Choose a style and materials
Review the assembled image request
Generate and compare concept images
The capabilities behind it
Why Div-idy fits this idea.
Div-idy provides building blocks for this project rather than a separate prebuilt integration for every use case. Here is the role each capability would play.
AI image generation
Div-idy's image-generation feature can turn a user's text description into a new image inside a project. A specialized interface can collect the particular choices that make that request more useful.
For this project: Use those structured choices to request a new exterior concept image.
Div-idy generates React and TypeScript interfaces from plain-language prompts. Forms, filters, calculations, timers, and browser graphics can run in the project without calling an AI model for every interaction.
For this project: Let someone change just the roof or palette in the request rather than rewriting every instruction.
Concept images are not construction documents or faithful renovations of an uploaded house photograph.
Test the full workflow with your own information, including empty inputs, mistakes, mobile controls, and any published behavior. These concepts have not been individually built or verified.
Capability limits for this idea
AI image generation: This creates new images; it is not a promise of faithful edits to an uploaded photograph, professional drawings, or a technically accurate representation. Generation uses AI-tool allowance.
Interactive interfaces: Generated code checks are not a substitute for testing the actual interactions, calculations, and mobile layout. Arbitrary packages and custom server programs are outside the prepared runtime.
Use it where it belongs
Keep it personal, or share it deliberately.
When you are ready, publish the pages visitors should see. Share the unlisted live link, embed a published page on a compatible website, or connect a supported www address or subdomain where domain connections are enabled. Anyone with a published link can open it.
Build a ai house-exterior concept generator for a homeowner exploring visual directions.
Goal: Generate new house-exterior concept images from architectural style, siding, roof, and color choices.
The main flow should let a person:
1. Choose a style and materials.
2. Review the assembled image request.
3. Generate and compare concept images.
Details I will supply or customize:
- Architectural styles to offer
- Material and color choices
- How to label and compare results
Use these supported Div-idy capabilities:
- AI image generation: Use those structured choices to request a new exterior concept image. Use the supported image-generation feature with an explicit Generate action, loading and failure states, and a result preview. Describe the result as a new concept image.
- Interactive interfaces: Let someone change just the roof or palette in the request rather than rewriting every instruction. Use supported React and TypeScript components and browser APIs. Keep ordinary calculations and interactions deterministic; do not call AI for them.
Important boundary: Concept images are not construction documents or faithful renovations of an uploaded house photograph.
Make the layout work on desktop and mobile, with clear labels, keyboard-friendly controls, and useful empty, loading, and error states. Use clearly labeled sample information until I supply real content. Do not invent integrations, secure visitor logins, payments, or capabilities that are not available. Keep the first version focused on this main flow.