HeyGen trains avatar behaviors as separate LoRAs, then composes them at inference
HeyGen · x · 2026-07-25
HeyGen says it can control multiple avatar behaviors without a jointly labeled dataset by training each behavior — expressiveness, gaze, and camera — as separate LoRAs on single-attribute data.
At inference time, the behaviors are composed together, and the train/inference gap is narrowed with a short fine-tune on real overlapping samples.
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