Who buys this
Independent real estate agents listing empty properties who currently pay three hundred dollars per room for physical staging photos.
Where to start in Lovable
Paste this into Lovable as the opening prompt. It sets up one screen and one job, which is easier to grow from.
Build a virtual staging tool. A user uploads a photo of an empty room, picks a style (Scandinavian, modern, traditional) and a room type (living room, bedroom, office), and the app generates a staged version of the same room with furniture added in that style while keeping the walls, windows, and floor unchanged. Let the user compare before and after with a slider, download the staged image, and keep a gallery of all staged rooms per listing.
What you will need to wire up
- Lovable AI Gateway (генерация изображений)
- Lovable Cloud (Postgres, хранилище фото)
- Storage для оригиналов и результатов
- Stripe
Build order
- Test structural preservation on real listing photos before building anything else. The entire product lives or dies on whether the generation keeps walls, windows, and floors exactly where they were. Run ten real, slightly awkward listing photos, bad lighting, wide angle distortion, through your chosen image model before writing any UI, since if the room shape shifts the agent cannot use the output at all.
- Lock the style presets to a short, tested list instead of a free text field. Letting users type any style description invites vague results like industrial farmhouse coastal, which the model renders inconsistently. Ship four or five well-tested presets with a fixed prompt behind each, and only add a new preset once you have confirmed it renders reliably across different room shapes.
- Store the original alongside every generated version, never overwrite. Agents will want to try two or three styles on the same room before picking one, and some will need the untouched original back for a different listing platform that requires unedited photos. Keep the original file immutable in storage and generate new derived images each time rather than mutating anything in place.
- Price per staged image with listing-size bundles, not a flat subscription. An agent staging one listing needs six to ten rooms done once and might not list another property for weeks. Sell bundles sized to a typical listing, ten images for one price, rather than a monthly plan that sits unused between listings and gets cancelled.
Where this usually breaks
- The model occasionally adds a window, moves a doorway, or changes wall colour, which counts as false advertising on a real estate listing and can get an agent in real trouble. Run an automated structural diff between the original and generated image on key edges and flag any generation that shifted them for manual review before it reaches the gallery.
- Some listing sites and local regulations require staged photos to be clearly labelled as virtually staged, and skipping that label can violate disclosure rules. Bake a small, removable watermark or caption into every export by default and make the agent actively opt out rather than opt in.
How it makes money
- Bundle priced per listing, sized around ten rooms. Matches how agents actually buy, one purchase per property rather than an ongoing monthly habit.
- Agency-level monthly plan with pooled image credits. Fits brokerages running many listings at once and smooths out the lumpy per-agent buying pattern into steadier revenue.
Build this on Lovable
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