Post
1208
New NVIDIA paper: ⚡ Multi-student Diffusion Distillation for Better One-step Generators ⚡
Do you want to make your diffusion models (a) run in a single step, (b) run with a smaller model, and (c) have improved quality simultaneously? Check out our multi-student distillation (MSD) method, which is simple and applicable to most diffusion models! The only catch is now we have to distill (and store) a mixture-of-expert student generators.
Explore the MSD project page to learn more: https://research.nvidia.com/labs/toronto-ai/MSD/
Work led by Yanke Song along with Weili Nie, Karsten Kreis and James Lucas
Check out more work from the Toronto AI Lab here: https://research.nvidia.com/labs/toronto-ai/
Do you want to make your diffusion models (a) run in a single step, (b) run with a smaller model, and (c) have improved quality simultaneously? Check out our multi-student distillation (MSD) method, which is simple and applicable to most diffusion models! The only catch is now we have to distill (and store) a mixture-of-expert student generators.
Explore the MSD project page to learn more: https://research.nvidia.com/labs/toronto-ai/MSD/
Work led by Yanke Song along with Weili Nie, Karsten Kreis and James Lucas
Check out more work from the Toronto AI Lab here: https://research.nvidia.com/labs/toronto-ai/
