Generate variations from the 3D model
Generating variations in minutes is tempting, as long as the image stays faithful to the designed project. This lesson teaches you to produce façade or mood variations from a 3D view, with a built-in tool or an external image model, while keeping control of any drift from the model.
Lesson objective
By the end of this lesson, you will be able to generate façade or mood variations from a 3D view, with a tool built into your software or an external image model, by writing a structured visual prompt and controlling fidelity to the 3D model.
Topics covered
- AI façade variations
- architecture image generation
- visual prompt
- AI and 3D model
Where it fits
Produce variations and renders
How do you quickly produce variations and realistic images without misrepresenting the 3D model?
Lessons in this module
- Generate variations from the 3D model (this lesson)
- Renders and post-production with AI
What you will learn in the course
This lesson is part of the course Bring AI into architectural visualization
- Identify, for a given project, the steps where AI speeds up visual production or analysis, and those where the 3D model and the architect's judgment remain the reference, including for regulatory compliance.
- Generate façade or mood variations from a 3D view with a built-in tool or an image model, while controlling fidelity to the project (structured prompt, influence, masks, references), then choose a rendering engine and AI post-production according to the deliverable and the license.
- Run a workflow of mesh export, AI material creation and re-import into a rendering engine, and diagnose a faulty PBR material.
- Assess the risks of an AI-assisted visual (usage rights, copyright protection, confidentiality of 3D models, transparency towards the client and the public) and write the corresponding usage rules.
- Select a tool chain suited to a deliverable (competition, design stages, marketing, renovation, planning application) and justify it by fidelity, lead time, quality, license cost and risk.
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