Topics / #distillation
Distillation projects on GitHub
Knowledge distillation: training compact models to mimic larger teacher models
As of , the most-starred Distillation projects on GitHub are TurboDiffusion (3.9K stars), SparkDiffusion (570 stars) and SMD (264 stars). GitHub.Locker tracks 5 Distillation repositories with 5K stars combined. The fastest-growing on October 31 was SparkDiffusion, with +1 stars in a day.
Hot right now
Most stars gained in a day · Oct 31
The all-time top
5 projects · by stars
- 3.9K
#1 · thu-ml/TurboDiffusionTurboDiffusion
TurboDiffusion is a video generation acceleration framework that speeds up end-to-end video diffusion generation by 100-200x on a single RTX 5090 while keeping video quality, using SageAttention, Sparse-Linear Attention (SLA), and rCM timestep distillation.
- 570
#2 · AlibabaResearch/SparkDiffusionSparkDiffusion
SparkDiffusion is an acceleration framework for Diffusion Transformer (DiT) video-generation models. It combines sparse low-rank attention (RoLa), few-step distillation (CrossDistill), and custom GPU operators to deliver 200x+ faster inference than a dense multi-step baseline while preserving generation quality.
- 264
#3 · zjwfufu/SMDSMD
SMD is a research method and codebase for distilling diffusion models into fast few-step generators, covering image, video, audio-video and 3D generation tasks.
- 4

swarm-agent
170lyt2003-yt/swarm-agent · PythonSwarmAgent is a conversational agent that turns natural-language requests like 'choreograph this song, make the second section gentler' into validated drone-swarm trajectories, built on the ReAct paradigm and sitting on top of a separately deployed SwarmGPT service.
- 5

hyperflow
158Video-Rebirth/hyperflow · PythonAn 8-step LoRA adapter for MiniMax-H3, a video+audio generation model, trained by data-free flow self-distillation. This repository holds the loader and example scripts that run it on the diffusers Modular Pipeline.
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