Generative AI for AEC: Image Creation with Replicate Models

Leverage Dynamo, AI, and Replicate models to generate architectural images, improve visualization, and streamline Revit

What you'll learn
- How to connect Dynamo with Replicate’s AI models to generate images
- How each of the five AI models functions, including their intended applications and potential uses in design workflow
- How to structure image prompts effectively for AI-driven results
- How AI-generated images can support concept visualization and material experimentation
- How AI-powered visualization can enhance Revit workflows by linking images with design data

Requirements
- Basic familiarity with Dynamo and Revit is recommended but not required
- Autodesk Revit 2023 or newer with Dynamo installed
- A Replicate API key (instructions will be provided on how to obtain and use it)
- A stable internet connection to access Replicate’s AI models and generate images
- No coding experience required—this course focuses on low-code AI integration using pre-built Dynamo nodes
- Basic understanding of architectural workflows is beneficial for contextualizing AI-generated imagery within AEC applications
- Recommended to have taken the Dynamo and OpenAI Integration

Description
Generative AI in Dynamo: Image Creation with Replicate

AI-generated imagery is rapidly changing architectural visualization, conceptual design, and material experimentation. However, integrating these capabilities into AEC workflows can be complex, requiring extensive coding knowledge and technical expertise. This course provides astructured, low-code approachto exploringReplicate’s AI diffusion models within Dynamo for Revit, makingAI-powered image creation accessible to designers, architects, and BIM professionals.

By leveragingpre-built Dynamo nodes, this course introduces a set offive AI models, each offering distinct capabilities for image generation, enhancement, and transformation. These models allow users togenerate AI-driven conceptual visuals, refine sketches, enhance images, segment elements within a visual composition, and manipulate styles based on influences. Rather than focusing on automation or detailed workflows, this courseintroduces AI image generation as a creative tool, opening new possibilities for design ideation and presentation.

Unlike technical scripting courses, this learning experience does not involvehands-on exercises or structured projects. Instead, it serves as anexploration of AI-driven visual creativity, demonstrating howAI-generated images can influence design thinking, conceptual workflows, and material applications within AEC environments. By the end of the course, students willgain a foundational understanding of AI-driven image generationand how it can be leveraged inRevit and Dynamo workflowsfor future applications.

Exploring Five AI Models for Image Generation

This course introduces fivepowerful AI image-generation models, each designed to address specific aspects of visual creativity:

Interior Design AI– Generates fully detailed interior spaces based on descriptive prompts, helping designers visualize different layouts, furniture arrangements, and material combinations.

Sketch-to-Image AI– Transforms rough sketches into realistic images, making it possible to develop early-stage design ideas without manual rendering.

Image-to-Image AI– Enhances and refines existing images while preserving overall structure, allowing users to improve image resolution, sharpness, and clarity using AI-driven techniques.

Segmentation AI– Breaks down images into multiple layers or elements, enabling the analysis and manipulation of individual image components for material exploration or alternative visual compositions.

Replicate Image-to-Image with Influencer AI– Adjusts and refines an image’s style based on an external reference, allowing designers to guide AI-generated outputs toward specific aesthetics.

Each of these models opens new opportunities forAI-driven visualization, enabling users to exploreconceptual sketches, material compositions, and presentation imagery with greater efficiency.Key Takeaways

Understand how AI-generated imagescan enhancearchitectural ideation and design workflows

Learn how to connect Dynamo to Replicate AI modelsusing pre-built nodes

Explore five AI modelsfor generating, refining, and segmenting architectural visuals

Gain insights into AI-assisted image workflowsforAEC applications

Discover how AI-driven imagery can support design visualization, presentation, and material experimentation

Who this course is for:
- AEC professionals interested in AI-powered concept design and visualization
- Dynamo users looking to understand AI-generated imagery in computational design
- Architects and designers exploring alternative visualization techniques with AI
- Anyone looking for a structured, low-code introduction to AI image generation in Revit and Dynamo
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