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How to Make AI Architectural Renders Photoreal Without Breaking Geometry
When Daniel and Hannah ran a precise Revit render through an image-to-image model, the result was technically impressive but weirdly fake — uncanny valley for buildings. This episode breaks down why diffusion models produce that glossy "video game" look, why temperature isn't the knob you think it is, and how to build a multi-stage pipeline using ControlNets, depth maps, and photographic process prompts to achieve photorealism without distorting geometry. We explore the three layers of the problem (training data bias, regression to the mean, noise profile mismatch), the practical workflow…
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