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How to Safely Hot-Swap 3D Avatars in Live Sessions Using a Two-Phase Loader

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Developers using AI tools to generate 3D avatars face a critical gap: an asset can look convincing yet fail to load correctly, track properly, or stay within a device's rendering budget. A tutorial on DEV Community proposes a two-phase loader that prepares and validates a candidate avatar before it ever becomes visible to live session participants. The approach enforces a strict invariant — the current committed avatar stays visible until a newer one passes both policy validation and runtime qualification. Built around Tencent RTC Beauty AR SDK, the controller is designed to be testable without a camera, GPU, or live room by keeping rendering-library dependencies out of its core logic. The method also handles edge cases such as mid-load selection changes, partial renderer failures, and explicit placeholder states when no avatar has been committed.

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