FADA distills a diffusion-based talking avatar model into a 6-step student that mimics multi-condition classifier-free guidance with learnable tokens, achieving 4.17 to 12.5 times NFE speedup with comparable quality.
Swiftbrush v2: Make your one-step diffusion model better than its teacher
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FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
FADA distills a diffusion-based talking avatar model into a 6-step student that mimics multi-condition classifier-free guidance with learnable tokens, achieving 4.17 to 12.5 times NFE speedup with comparable quality.