How does AI inpainting work?

AI inpainting uses diffusion models trained on millions of images. You mask a region of an image, optionally provide a text description of what should fill it, and the model generates new content that matches the surrounding context — lighting, perspective, materials, and style. The process takes 5-30 seconds depending on image resolution and masked area size.

What is the difference between inpainting and outpainting?

Inpainting replaces content inside an image's existing boundaries. Outpainting extends the image beyond its original edges, generating new content that continues the scene. Both use the same underlying technology. In practice, outpainting is useful for fixing tight crops or creating wider panoramic compositions from a standard render.

What file formats work with AI inpainting?

Most AI inpainting tools accept PNG and JPEG inputs. Visiomake accepts both formats. For best results, use PNG to avoid JPEG compression artifacts in the source image. Output is typically PNG at the same resolution as the input.

Can AI inpainting match the lighting in my architectural renders?

Yes. Modern diffusion models analyze the lighting direction, color temperature, and shadow patterns in the unmasked portions of your image and generate content that matches. Results are most accurate when the original image has consistent, well-defined lighting — which architectural renders typically do.

Is AI inpainting better than Photoshop for architectural image editing?

For content-aware fills and object replacement, AI inpainting is significantly faster and often more accurate than Photoshop's Content-Aware Fill, especially for complex architectural scenes with perspective and material variety. Photoshop remains better for precise pixel-level retouching, color grading, and compositing with manual control. Many professionals use both: AI inpainting for speed, Photoshop for precision finishing.

How much does AI inpainting cost?

In Visiomake, inpainting costs the same as standard image generation: from 8 credits ($0.08) per generation. There is no separate fee for inpainting versus generation — it uses the same credit system. Pay-as-you-go with no subscription required.

What Is AI Inpainting? A Practical Guide for Architects and 3D Visualization Professionals

What Is AI Inpainting?

AI inpainting is a technique that uses machine learning to fill in, replace, or regenerate selected regions of an image while preserving the surrounding context — lighting, perspective, materials, and style. You draw a mask over the area you want to change, describe what should appear there, and the AI generates a photorealistic replacement that blends seamlessly with the rest of the image.

The term comes from art restoration, where conservators literally "paint in" damaged sections of a canvas. AI inpainting automates this with neural networks trained on millions of images, producing results that are often indistinguishable from the original.

How AI Inpainting Works

The process has three steps:

1. Masking. You select the region you want to change. This can be a freehand brush stroke, a polygon selection, or an automatic object detection mask. Everything outside the mask stays untouched.

2. Prompt (optional). You describe what should fill the masked area: "a walnut dining table," "an empty floor with herringbone parquet," or "a floor-to-ceiling window with garden view." Without a prompt, the AI fills the region with contextually plausible content based on surrounding pixels.

3. Generation. The AI model analyzes the unmasked context — lighting direction, color palette, perspective lines, material textures — and generates content that matches. Modern diffusion models (Stable Diffusion, Flux) handle this with remarkable accuracy, preserving vanishing points and light consistency even in complex architectural scenes.

Before — AI inpainting in action: masking a bins and replacing it with a text-described alternative

After — AI inpainting in action: masking a bins and replacing it with a text-described alternative

Where Architects and Visualization Professionals Use Inpainting

Inpainting isn't a novelty effect — it solves specific, recurring problems in architectural visualization workflows.

Furniture and Object Swaps

Client wants to see the living room with a different sofa. Instead of re-rendering the entire scene in V-Ray (15-45 minutes), mask the sofa and inpaint a replacement in seconds. The lighting, reflections, and ambient occlusion adjust automatically.

Removing Unwanted Elements

A site photo has construction equipment, cars, or people that shouldn't appear in the final presentation. Mask them out, and inpainting fills the area with contextually appropriate background — pavement, landscaping, sky.

Material and Finish Changes

Swap a marble countertop for granite, change wall paint from white to sage green, or replace timber cladding with brick — without touching the 3D model. Mask the surface, describe the new material, and the AI regenerates it with correct texture scale, reflection properties, and lighting response.

Extending or Modifying Compositions

A render is cropped too tight. Inpainting can extend the image beyond its original boundaries (outpainting), generating plausible continuation of floors, walls, ceilings, and landscaping.

Comparison: Inpainting vs. Traditional Approaches

TaskTraditional methodTimeAI inpaintingTime
Swap furniture pieceRe-model + re-render30-90 minMask + prompt10-30 sec
Remove object from photoPhotoshop clone stamp15-45 minMask area5-15 sec
Change wall colorRe-render or Photoshop10-30 minMask + describe color10-20 sec
Fix composition/framingRe-render wider shot15-60 minOutpaint edges15-30 sec

Using AI Inpainting in Visiomake

Visiomake includes inpainting as part of its image generation toolkit. The workflow:

1. Open any image in the Generate Image tool and switch to Inpaint mode.

2. Brush over the region you want to change.

3. Describe the replacement in the prompt field.

Select an asset and mask zones you want to change

4. Click Generate. The result preserves the original image outside the mask and fills the masked area with your described content.

Cost is the same as standard image generation — from 8 credits ($0.08) per generation. You can iterate multiple times on the same mask with different prompts until the result matches your intent.

Is AI Inpainting Accurate Enough for Architectural Visualization?

For concept presentations, client revisions, and marketing materials — yes. Modern inpainting models handle perspective, lighting consistency, and material textures well enough that clients cannot distinguish inpainted regions from the original render in most cases.

For final production renders where pixel-perfect accuracy is required (construction documents, measured drawings), inpainting is better used as a rapid iteration tool — test ideas fast with inpainting, then execute the final version in your renderer once the design direction is confirmed.

The practical sweet spot: use inpainting for everything up to and including client-facing concept presentations. Use traditional rendering for final deliverables where geometric accuracy is contractually required.