A Guide to Enhancing Architectural Renders with D5 Render AI Post-Processing

What you’ll learn in this guide

D5 Render’s AI Post-Processing brings together tools for making final adjustments to specific details in a completed render. This guide covers how to enhance an entire image or selected areas with AI Enhancer, the scope of style transfer, how to use Inpainting, and the resolution requirements to check before processing.

The key distinction is that these tools don’t replace modeling or scene setup. For example, you can leave a flower bed empty and fill it with Inpainting, but the source doesn’t guarantee that AI will generate every type of scene element accurately in all circumstances. Reviewing the result and, if needed, trying again from the original render should be part of the workflow.

Requirements and pre-processing checks

The file you process must be a render image saved in D5. AI Post-Processing and AI Enhancer aren’t supported when any edge of the image is longer than 6,200 pixels. For large images, the AI Post Channel option may be unavailable, and the AI Post-Processing entry point may not appear after rendering.

D5’s documentation states that the AI Enhancer service runs in the cloud and that closing the client doesn’t affect the computation. Generated content and processing records are associated with D5 accounts; results are stored in D5 Studio. For access requirements tied to account features, the documentation refers users to information about accessing AI features; it doesn’t provide detailed pricing or licensing terms here.

Before you begin, check the following:

• Make sure the image is a render saved in D5.

• Check that no edge of the image exceeds 6,200 pixels.

• If you plan to work on a selected area, carefully define the boundaries of the section to edit.

• If you need to enhance the image repeatedly, start a new pass from the original render rather than processing the enhanced image again and again.

Step by step: AI Enhancer and regional editing

1. Open AI Post-Processing. Select the “AI Post-Processing” feature in D5’s navigation bar. You can start working with it on a supported, saved render image.

2. Choose the area to process. AI Enhancer can improve the entire image or process only selected regions. If no area is selected, the default behavior is to enhance the whole image. For example, if you want to change details in only one part of the materials, isolate that area with the selection tool; processing can leave unselected areas unchanged.

3. Adjust Enhancement Weight. According to the source documentation, this setting is a slider for choosing between different processing effects. Adjust it to suit your goal and review the overall look of the image. The documentation doesn’t recommend a specific ideal value, so don’t assume that one number will work for every scene.

4. Adjust Texture Strength. This setting controls the strength of texture enhancement. You can adjust it carefully when you want a more noticeable change to the appearance of materials. In particular, check that the result remains consistent with the architectural design on repeating surfaces and in small material details.

5. Assign different weights to different areas if needed. In the “Adjust Content” section, you can edit the relevant parameters using “Enhance Content” and save the section. This makes it possible to set different weights according to the needs of materials in different areas. It can be useful, for example, when you don’t want vegetation, façades, and interior surfaces in the same render to be processed with the same intensity.

6. Save and compare the result. Review the image once processing is complete. D5 recommends starting a new pass from the original image rather than the enhanced output when repeating the process. That keeps the starting point consistent for each attempt and prevents previous AI edits from accumulating.

AI Enhancer is described as a tool for improving details in lighting, materials, characters, vehicles, and vegetation. That doesn’t mean every element will necessarily be changed correctly. Review the result for visual quality, scene intent, and project accuracy; don’t leave the design decision itself to the AI output.

How to assess style transfer and Inpainting

AI Style Transfer is used to apply a style to an image. D5’s documentation describes two groups of styles: stylized options include watercolor, cartoon, miniature, line drawing, pencil drawing, and voxel; realistic options include sunset, night, spring, summer, autumn, and winter. It states that the transfer can be applied without changing materials or models in the source image. Adapting the image to reference-image styles is also included among the realistic options.

Inpainting is described as a localized feature for filling sky, water, or vegetation areas—automatically or by selection—in images rendered through the AI Post channel. D5 can automatically detect the sky; water and vegetation areas must be selected manually. For example, you can leave an empty flower bed that hasn’t been manually edited in the scene and try filling it with AI. The “Inpaint the original image” option fills the area based on the structure of the original image.

The source says that the seed is an integer between 1 and 2,147,483,648, and that using the same prompt and seed will produce the same result. However, the documentation doesn’t provide a ready-made architectural prompt for this guide or a seed value suitable for every project. So don’t treat the numbers as generic quality settings; use the same prompt and seed when you need to reproduce results under the same conditions.

Common mistakes and their impact on architectural workflows

One common issue is looking for the AI Post-Processing option in an image that exceeds the supported resolution or edge-length limit. If any edge of the image is longer than 6,200 pixels, the feature may be unavailable. A second mistake is running AI Enhancer without selecting an area when you don’t want to process the whole image; without a selection, the default is to process the entire image. With Inpainting, remember that the sky can be detected automatically, while water and vegetation areas must be selected manually.

For architects, interior designers, and archviz artists, the tools are most practical for enhancing specific details after rendering or quickly exploring different presentation styles. Regional editing can be useful when multiple materials or areas of a scene have different needs. However, you should check that the AI output fits the project design and the intended realism of the image.

For hardware considerations in the workflow, the source only states that AI Enhancer runs in the cloud and that processing continues if the client is closed; it doesn’t specify local hardware requirements or processing times. You also need to consult the account-feature information for licensing and access requirements. Image resolution and edge-length limits, account access, and storage of results in D5 Studio are concrete points for offices to check before getting started.

Next steps

Start by testing full-image enhancement and regional enhancement separately on a single render. Then consider style transfer as a way to create alternative presentation styles rather than as a method for producing the final deliverable. When using Inpainting, check the selected area and how well it fits the original render. Before making a final decision, make sure the output preserves the design intent; return to the original image for further attempts.

Source and licensing

This guide is adapted into Turkish based on D5 Render’s official “How to use AI Post-Processing?” and “Image, Animation Output” documentation. The source list labels these documents “license=free”; as no license name is provided, no specific open-license type is claimed here.