Last updated: May 13, 2026
You upload a photo of your room and choose either a design style (modern, Scandinavian, farmhouse, industrial, mid-century, and others) or a specific paint color from one of the brand libraries we support. RoomViz sends your image plus your selection to a third-party AI image-generation model. The model returns a new image — that image is your visualization. We then display the result alongside the original so you can compare before and after, and we save the render to your history for later reference.
We use the Replicate platform to host the image-generation models we rely on. This includes state-of-the-art interior- design-tuned diffusion models for full room redesigns, and paint-visualization-specific models for color preview renders where the goal is to change only wall color while leaving the rest of the scene intact. We evaluate new models as they are released and swap in better options when output quality improves. The model in use at any given time is whatever we currently believe is best for the job.
On our side, we control the prompt we send to the model, the strength of the original-image preservation parameter (so your room's structure — windows, doorways, ceiling lines — stays recognizable instead of being replaced), and post-processing parameters such as size, format, and color correction. We do not modify the model's underlying weights or training. The creative output is the model's; the framing, constraints, and quality bar are ours.
Visualizations are approximations, not photographs. Overall style — palette, mood, material feel — is captured well. Furniture and decor specifics (exact sofa model, exact rug pattern, exact light fixture) are not directional and should be treated as illustration rather than a shopping list. Paint colors render as close approximations of the selected color under your room's lighting, but on-screen color always differs from real paint on a real wall. Order a real paint sample before committing to a can.
We cannot guarantee any specific output, render quality on any specific photo, or visual accuracy for unusual room conditions. Very low-light photos, panoramic and ultra-wide angles, very small bathrooms, heavily cluttered spaces, and images with strong glare or motion blur all degrade output quality. Some inputs simply produce poor outputs no matter how the model is prompted. Re-running with a different style choice, a better- lit photo of the same room, or a different angle usually helps.
Uploaded images and generated outputs are stored in our database so we can power your render history, let you compare renders side by side, and re-download earlier results. For full details on how this data is stored, how long it is kept, and how to delete it, please see our Privacy Policy.
If a render fails entirely — server error, model timeout, upstream provider outage — no credit is consumed and you can try again immediately. If a render completes but the result is visually poor (artifacts, distortion, the wrong style applied), the credit is consumed because compute was actually used. In those cases, contact us with the render ID and we will review case by case and re-render or refund the credit where it makes sense.
Methodology questions, model questions, or detailed render feedback are all welcome at hello@room-viz.com.