
Intelligent Style Recognition
The style transfer engine analyzes both the uploaded room and the reference image to detect palette, finishes, textures, furniture language, and lighting cues before generating the transformed result.
Use AI Interior Style Transfer to apply a design aesthetic to your room. Upload your space and a style reference, then transfer colors, materials, textures, and atmosphere while preserving the room layout and structure.

Private uploads · automatic refund on model failure
Reference previewDiscover how AI Interior Style Transfer identifies the key visual signals in your room and reference images, then carries them through into a more coherent room makeover.

The style transfer engine analyzes both the uploaded room and the reference image to detect palette, finishes, textures, furniture language, and lighting cues before generating the transformed result.

Move from one aesthetic to another with photorealistic results, whether the desired direction is minimalist, warm contemporary, traditional, rustic, or another interior style language.

The room geometry, furniture relationships, camera angle, and spatial composition remain anchored to the original image so the output still feels like your room rather than a different generated scene.
The workflow is designed to carry over visible style signals while protecting the room structure that makes the original image useful.
Apply the palette, tonal balance, and surface contrast from your reference image to reshape the room atmosphere without rebuilding the space.
Borrow finishes, textures, wall treatments, upholstery, and flooring cues from the style image while preserving the room geometry.
Keep the room structure, window positions, furniture relationships, and overall composition intact so the result still belongs to the uploaded space.
Shift the furniture language toward the selected aesthetic, from minimal and contemporary to warmer, layered, and more decorative directions.
Carry the lighting mood of the reference image into the result so the space feels coherent instead of merely recolored.
Translate wall, floor, trim, and finish ideas from the inspiration image to create a more complete design direction.


Upload the room photo you want to transform, then add a style inspiration image that contains the materials, mood, and visual language you want to borrow.
Fine-tune transfer strength, color intensity, layout preservation, lighting preservation, and model quality to steer how strongly the reference should influence the result.
Generate the transformation, review it in preview or history, and download the finished room image when the direction feels right.
Style transfer is strongest when the room layout already works. If the project still needs space planning, staging, broader redesign, or plan development, move into the matching Home Design AI workflow next.
Use the broader interior redesign workflow when you want to steer the whole room beyond a single style reference.
Start from layout and circulation when the room geometry itself still needs to be designed.
Stage an empty room or listing photo when the project needs furniture and merchandising rather than style transfer.
Build presentation-ready concept images when you need a more open-ended rendering workflow for client review.
Interior Style Transfer uses one room photo and one reference image to move materials, palette, texture, and atmosphere from the reference into the uploaded room while keeping the original layout readable.
Clear eye-level room photos with visible walls, windows, and furniture work best as the origin image. For the style reference, use a strong inspiration image with a clear mood, material palette, and lighting direction.
You can use most interior inspiration images as a reference, but the strongest results usually come from images with a clear style identity rather than collages, cropped details, or heavily overprocessed pictures.
Transfer Strength changes how aggressively the reference image influences the output. Lower values keep more of the original room styling, while higher values push harder toward the inspiration image.
That is the goal of this workflow. The result should preserve room structure, furniture relationships, and camera viewpoint much more closely than a generic image generation prompt.
Most generations finish in well under a minute, although queue time can vary when the model is busy or when larger Pro-quality jobs are running.
Start with your room, bring in a style reference, and iterate toward a more coherent interior concept before you spend more time or money.