SketchUp Diffusion

SketchUp Diffusion is an AI-powered visualisation feature originally introduced within SketchUp Labs by Trimble. It was developed to help architects, interior designers, landscape designers, construction professionals, and 3D creators transform existing SketchUp models into realistic or stylised concept images. The feature uses generative AI to interpret a model’s viewport, camera angle, geometry, and written instructions, then produces visual alternatives that can help users communicate design ideas more effectively. It reduces the need to create every presentation image manually and makes it easier to explore different visual directions during the early and intermediate stages of a project.

The original SketchUp Diffusion workflow was built around a straightforward process. Users opened a model in SketchUp, selected the view they wanted to visualise, and entered a text prompt describing the desired result. They could also select from predefined visual styles to guide the appearance of the generated image. This allowed a relatively simple 3D model to become the starting point for a more developed visual concept. For example, a basic building model could be presented with different architectural finishes, lighting conditions, surrounding environments, and visual treatments without requiring the user to model every detail individually.

One of the main strengths of Diffusion was its ability to work directly with existing SketchUp geometry. Instead of generating an unrelated image from a text description alone, it used the model viewport as visual input. This helped the generated result retain a relationship with the user’s original design. The original version also provided controls for balancing prompt influence against respect for model geometry. Increasing the geometry setting encouraged the output to follow the model more closely, while increasing prompt influence allowed the written description to have a stronger effect. These controls were useful when deciding whether to preserve the existing design or explore more imaginative alternatives.

SketchUp Diffusion was designed for conceptual visualisation rather than replacing the complete 3D modelling process. It could help users investigate materials, architectural styles, lighting, landscaping, and surrounding context while keeping the original SketchUp model as the foundation of the workflow. This made it useful for testing ideas before investing time in detailed modelling or producing polished presentation materials. Designers could compare different visual directions, identify promising concepts, and use the generated images to support conversations with clients, colleagues, and project stakeholders.

The tool also supported different creative styles through preset options. The original release included styles such as exterior photorealistic, interior photorealistic, aerial masterplan, pencil sketch, watercolor, illustration, clay model, and physical model. These presets gave users a convenient starting point when they did not want to write a detailed visual description from scratch. They could choose an appropriate style and combine it with a prompt to guide the generated result. This flexibility made the feature relevant to different stages of architectural and interior design, from loose concept exploration to more developed visual presentations.

Another useful part of the original workflow was the ability to save generated images as SketchUp scenes. Users could add an image as an overlay in the model viewport and move between saved scenes to review different design options. On supported iPad workflows, users could also use Markup to draw or annotate over a scene and then bring those markings back into the generation process. This helped connect visual experimentation with the wider modelling and feedback process. Instead of treating each generated image as a separate final product, users could use the results as part of an ongoing design discussion and refinement cycle.

The feature was particularly relevant to architectural and interior design work because visual communication is an important part of presenting a project. Architects can use generated concepts to explore building appearances, exterior finishes, landscape settings, and environmental context. Interior designers can investigate different room atmospheres, furnishing directions, materials, and lighting concepts. Landscape designers can use visual alternatives to communicate possible treatments for outdoor spaces and site environments. Construction and property professionals can also use conceptual imagery to help explain proposed design ideas to people who may not be familiar with reading 3D models.

SketchUp Diffusion was also intended to make AI-assisted visualisation accessible within an existing design environment. Users did not need to move their model into a separate image-generation application to begin exploring concepts. The feature was available through SketchUp for Desktop as an Extension Warehouse extension and was integrated into SketchUp for iPad and SketchUp for Web. This approach helped keep the process connected to the model and reduced the number of separate tools involved in producing early visual concepts. Its value was therefore not limited to image creation; it also offered a more direct way to explore and communicate design possibilities from within the SketchUp workflow.

It is important to distinguish the original SketchUp Diffusion feature from its later development. Trimble introduced Diffusion in December 2023 as part of the SketchUp Labs programme. In December 2025, Trimble announced SketchUp AI and identified AI Render as the updated version of SketchUp Diffusion. The newer AI Render experience introduced a redesigned interface and additional controls, including reference images, inpainting, and negative prompts. These additions allow users to guide image generation and refine selected parts of an output more deliberately. The current AI Render feature continues the original idea of combining a SketchUp model with prompts and visual styles, but it should not be confused with the original Labs interface.

The newer SketchUp AI system also uses a credit-based model. AI Render consumes credits when users generate images, and the number of credits included depends on the SketchUp subscription tier. The credit system makes usage limits clearer, although users who generate images frequently may need to purchase additional credits. The feature requires an eligible SketchUp subscription and an internet connection, since image generation relies on cloud processing. Users should also understand that generated images are visual interpretations rather than guaranteed technical representations of a model. They may introduce or alter details, so the results should be checked against the original model before being used in formal project documentation.

Overall, SketchUp Diffusion established a practical way to bring generative visualisation into a familiar 3D modelling environment. Its ability to combine model geometry, text prompts, preset styles, and saved scenes made it useful for creative exploration and design communication. Although its original name and interface have been superseded by SketchUp AI Render, the underlying workflow remains relevant to users who want to turn SketchUp models into more expressive visual concepts without relying entirely on traditional rendering processes.

Pricing

SketchUp Diffusion was originally offered to eligible SketchUp subscribers as part of the SketchUp Labs programme without a separate charge during its initial availability period. The updated product, SketchUp AI Render, uses a credit-based system.

• SketchUp Go: 100 AI credits per month.
• SketchUp Pro: 150 AI credits per month.
• SketchUp Studio: 200 AI credits per month.
• AI Render generation: 10 credits per generated image.
• Additional credits: Available through Trimble’s credit purchasing system. The published rate is $0.01 per credit, with a minimum purchase of $20 for 2,000 credits.

The price of the underlying SketchUp subscription depends on the selected plan, billing term, and region.

Review

SketchUp Diffusion is a useful addition to the SketchUp ecosystem because it connects AI image generation directly to 3D modelling. Its biggest advantage is the ability to turn an existing model view into a visual concept without requiring users to create a complete traditional render. The prompt and geometry controls also give users some influence over how closely the generated result follows the original design.

The updated AI Render experience improves on the original feature with reference images and additional editing controls. These capabilities make the visualisation process more flexible and give designers more ways to refine their results. Its integration with SketchUp is another advantage, particularly for people who already use the software for architectural, interior, and construction design.

However, generated images should not be treated as exact technical outputs. AI may change details, introduce objects, or interpret materials differently from the original model. The credit system can also limit frequent experimentation, especially for users who need many variations. English-only prompt support is another limitation for users who prefer working in other languages.

Overall, SketchUp Diffusion, now continued as SketchUp AI Render, is a valuable visualisation aid for exploring design concepts and preparing presentation imagery. It works best as a creative companion to SketchUp’s modelling tools rather than a replacement for accurate modelling, technical documentation, or dedicated professional rendering workflows.