Capability
Step Distillation For Reduced Diffusion Iterations
2 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →Top Matches
1
HunyuanVideo-1.5Repository44/100
HunyuanVideo-1.5: A leading lightweight video generation model
Unique: Uses knowledge distillation to train a student model that predicts multi-step trajectories, rather than simple output matching. The student learns to approximate the full diffusion process in fewer steps by matching the teacher's intermediate representations, not just final outputs.
vs others: Faster than DDIM or other fast samplers because it's trained specifically for few-step generation, versus generic acceleration techniques that apply to any diffusion model.