You upload a sketch to an AI image generator. The output is gorgeous - warm lighting, rich materials, magazine-quality composition. There's just one problem: the window moved to the wrong wall, the room is twice the size you designed, and the ceiling height doesn't match your drawings. The image is beautiful. It's also useless.
This is the core limitation of general-purpose AI image tools for architecture and design work. They generate aesthetically pleasing results but ignore the structural reality of your project. When a render doesn't respect the geometry you designed, it can't be shown to a client, used in a presentation, or trusted as a representation of what will actually be built.
Render Mode in Visualizee.ai solves this by anchoring every generation to your input's spatial structure. Here's how it works, what it preserves, and when to use it.
What Geometry-Aware Rendering Actually Means
Standard text-to-image AI takes a prompt and generates an image from scratch. The AI decides composition, proportions, spatial relationships, and structural elements based on statistical patterns - not your design. Even with detailed descriptions, you can't control where walls land, how windows align, or whether the room dimensions make sense for your project.
Geometry-aware rendering flips that process. Instead of generating spatial structure from a prompt, it reads the structure from your input image - a hand sketch, a SketchUp viewport, a clay model photo, or an existing space photograph - and treats that structure as a constraint. The AI then applies materials, lighting, furnishing, and atmosphere while respecting the spatial boundaries it extracted.
The result: your walls stay where you drew them, your windows remain at the correct positions, your ceiling height holds, and the room proportions match your design intent. The AI adds the realism - the materials, the light behavior, the atmospheric quality - but it doesn't invent or rearrange the architecture.
How Render Mode Works: Three Steps
The workflow is deliberately simple. No plugins, no file format conversions, no learning a new 3D environment.
Step 1: Upload Your Design Input
Render Mode accepts any visual representation of your design that shows spatial depth and perspective:
Hand sketches - pencil on paper, marker on trace, whiteboard perspective drawings
3D viewport screenshots - SketchUp scenes, Revit 3D views, ArchiCAD perspective exports
Physical model photos - foam core models, clay models, 3D prints, study models photographed from the desired angle
Existing space photos - as-built photography when the project involves renovation or redesign
The input needs to show the space in perspective - the way a camera or a person would see it. A rough perspective sketch with clear spatial intent produces better results than a highly detailed image with ambiguous structure.
Step 2: Describe What You Want to See
Write a prompt that focuses on materials, lighting, and atmosphere - not on spatial arrangement. Since Render Mode already knows where the walls, openings, and volumes are, your prompt should address what the AI can't extract from the image:
Good prompt for Render Mode:
Warm white oak flooring, limewashed plaster walls, floor-to-ceiling
glazing with thin black steel frames, afternoon sunlight casting
diagonal shadows, minimalist Scandinavian furnishing in cream
and natural linen, indoor olive tree, photorealistic, 35mm lens
Unnecessary in Render Mode:
Open-plan living room with kitchen on the left, three windows on
the north wall, 3.2 meter ceiling height, L-shaped sofa facing
the fireplace...
You don't need to describe the spatial layout - that's already encoded in your upload. Describe the skin, not the skeleton.
If you're using Vizzy, tell it what materials and mood you want. Vizzy understands that Render Mode needs atmospheric and material direction rather than spatial descriptions and adjusts its suggestions accordingly.
Step 3: Generate
Hit generate. In 10-15 seconds you have a photorealistic visualization that respects your design's geometry while applying the materials, lighting, and styling from your prompt. If the first result needs adjustment - different materials, warmer light, more dramatic shadows - modify the prompt and regenerate. The spatial structure stays locked across every iteration.
What Gets Preserved vs. What Gets Enhanced
Understanding the boundary between "locked" and "flexible" elements helps you write better prompts and set correct expectations.
Preserved (from your input)
Enhanced (from your prompt)
Wall positions and room proportions
Wall materials and finishes
Window and door locations
Frame styles, glazing types
Ceiling height and roof form
Ceiling treatment and lighting fixtures
Overall massing and volume
Facade cladding and material palette
Spatial flow and adjacencies
Furniture, decor, and styling
Camera angle and perspective
Lighting conditions and atmosphere
Scale relationships
Landscaping and context
The left column comes from your design. The right column comes from your prompt. This separation is what makes Render Mode useful for professional work: you control the architecture, the AI handles the visualization.
Render Mode vs. Inspiration Mode: When to Use Each
Visualizee offers two primary generation approaches, and choosing the right one depends on where you are in the design process.
Use Inspiration Mode when:
You're in early concept exploration and don't have a locked design yet
You want to see multiple spatial arrangements and massing options
The client hasn't committed to a direction and needs to compare fundamentally different approaches
You're generating reference imagery for initial mood and style discussions
Use Render Mode when:
The design is defined - even roughly - and needs to be visualized faithfully
You're preparing client presentations where the render must represent the actual project
You need to iterate on materials and atmosphere without changing the layout
The output will be used for approvals, marketing, or documentation
You're working from an existing space photo and want to show a redesign
The typical project flow moves from Inspiration Mode (early exploration) to Render Mode (design refinement and presentation). Many architecture AI workflows start with a handful of Inspiration Mode concepts to set the direction, then switch to Render Mode once the massing and layout are locked.
Inputs That Produce the Best Results
Not all inputs are created equal. The clarity and quality of your upload directly affects how well Render Mode reads and preserves the geometry.
Best Results
Clean 3D viewport screenshots - SketchUp or Revit perspective views with strong edges and clear spatial definition
Deliberate perspective sketches - bold lines, defined wall positions, clear window and door openings drawn in perspective
Physical model photos - clay models, foam core, or 3D prints photographed from a natural viewing angle with even lighting
Well-lit existing space photos - even lighting, minimal lens distortion, shot from a natural perspective angle
Good Results (With Some Adjustment)
Quick whiteboard sketches - works well if line weight is strong enough to read
Aerial photos or drone shots - useful for site context but may require additional prompting for ground-level detail
3D-printed model photos - effective when photographed from the intended presentation angle
Challenging Inputs
Heavily stylized or abstract drawings - the AI may struggle to distinguish structural elements from decorative ones
Extremely dark or overexposed photos - poor contrast makes geometry extraction unreliable
Cluttered images with overlapping elements - simplify the input or crop to focus on the space you want rendered
When in doubt, simplify. A clean, high-contrast input with obvious structural elements will outperform a complex, detailed one with ambiguous spatial boundaries.
Why This Matters for Professional Work
The difference between a pretty image and a useful render is accuracy. When you show a client a visualization that doesn't match the actual design, you're creating expectations you can't deliver. That misalignment surfaces during construction or, worse, after - and it erodes trust.
Geometry-aware rendering makes AI output trustworthy enough to use in professional contexts:
Client presentations where the render represents the approved design, not an AI interpretation of it
Pre-construction marketing where buyers make purchasing decisions based on the visuals they see
Approval documentation where the rendered output becomes part of the project record
When the spatial structure is locked and only the surface treatment changes between iterations, clients can focus on what they're actually deciding - materials, lighting, atmosphere - rather than getting distracted by layout changes they didn't ask for.
Common Questions
Does Render Mode work with very rough sketches?
Yes, as long as the structural elements - walls, openings, roof lines - are distinguishable. A napkin sketch with clear lines produces usable results. A sketch where walls and annotations blur together may need cleanup. See our guide on sketch-to-render workflows for detailed input preparation tips.
Can I adjust the geometry between renders?
Modify your input image to change the geometry (move a window in your sketch, adjust the model, crop differently), then regenerate. Render Mode reads the structure fresh from each upload, so changes to the input produce corresponding changes in the output.
How accurate is the geometry preservation?
Render Mode maintains the spatial relationships, proportions, and element positions from your input with high fidelity. It's designed for design communication and client presentations - not for construction documentation or dimensioned drawing extraction.
Does it work for interiors and exteriors?
Both. Interior layouts (furniture placement, wall positions, ceiling treatment) and exterior massing (facade proportions, window rhythms, roof form) are both supported. The same principles apply: upload the structure, describe the surface.
What if I want some creative freedom in the output?
Adjust the influence strength. Lower influence gives the AI more latitude to interpret and embellish, while higher influence produces outputs that track the input geometry more strictly. For client-facing work, keep influence high. For early exploration with some structural flexibility, dial it back.
From Design to Presentation Without the 3D Detour
Traditional architectural visualization demands a fully modeled 3D scene before you can generate a single render. Render Mode skips that step. Your existing design artifacts - the sketches, screenshots, and photos you already produce during normal design work - become the inputs for photorealistic visualization.
No learning new software. No waiting for a visualization specialist. No converting between file formats. The architecture AI reads what you've already drawn and makes it real.
See your designs rendered faithfully in seconds.Start your free trial of Visualizee.ai and try Render Mode with your own sketches, models, or photos - geometry preserved, photorealism added.
Render Mode: How Geometry-Aware AI Rendering Works
