Mastering Controlled 3D Flythroughs with Seedance 2.0 & GPT Image 2

Introduction

If you've spent any time working with generative AI for architectural visualization, you know the "final boss" of AI video generation: combining a strict start frame, an explicit end frame, and a precise 3D camera path without the architecture melting, warping, or hallucinating into something entirely different. Achieving a fully controlled, 3D-consistent flythrough has long been the holy grail for visualizers.

The Core Problem

Standard AI video UI tools inevitably force a compromise. You are usually made to choose between referencing a spatial motion path or defining a definitive end frame. If you set a start and end frame, the model tends to take the path of least resistance—often a morphing transition rather than a spatial camera move. If you enforce a camera path, the end frame gets ignored or corrupted. The geometry simply doesn't hold up to the strict constraints of real-world spatial logic.

The Breakthrough Workflow

The solution lies in bypassing the standard UI constraints of Seedance 2.0 and GPT Image 2. Instead of relying on the basic start/end frame inputs, we use the "Text with Reference" tab. By utilizing the @ tagging system, we can force the model to weigh the start image, the reference motion video, and the end image simultaneously within the prompt itself.

• Start Frame: Tag your initial rendered or drafted image using @image1.
• Motion Reference: Tag a reference video that dictates the exact camera movement (e.g., a simple block-model flythrough) using @video1.
• End Frame: Tag your definitive final frame using @image2.

By embedding these directly into the text prompt, the model processes them as concurrent spatial and visual constraints rather than sequential UI toggles.

Prompt Engineering for Cinematography

When overriding the UI, the text prompt must shift its focus. Because the geometry is already defined by your start and end frames, your prompt shouldn't waste tokens describing the architecture. Instead, dictate the cinematography and lighting.

start with @image1 . Cinematic forward tracking along the spatial path of @video1, resolving exactly into @image2 . Transition lighting from pale golden hour to twilight with blue fill. Keep geometry strictly rigid and stable. High-end architectural photography, 8k resolution.

Notice the emphasis:

• Camera Movement: "Cinematic forward tracking along the spatial path..." locking the motion to the reference.
• Lighting Transitions: "Transition lighting from pale golden hour to twilight with blue fill." This gives the model a task to process over time, covering the transition rather than trying to invent new geometry.
• Stability: Explicit commands to "Keep geometry strictly rigid and stable."

Pragmatic Application

In the context of project management and client presentations, "close enough" doesn't cut it. A flythrough needs to accurately represent the spatial reality of the designed condition. By achieving controlled, geometry-stable flythroughs, we bridge the gap between high-level conceptual AI generation and the technical realities of site execution. This workflow allows us to deliver cinematic, deeply immersive architectural presentations without sacrificing the precision that our profession demands.