Awesome-DiT-Inference

📒A curated list of Awesome Diffusion Inference Papers with codes. For Awesome LLM Inference, please check 📖Awesome-LLM-Inference for more details.

📖 News 🔥🔥

• [2026/03] Cache-DiT 🎉v1.3.0 release is ready, the major updates including: Ring Attention w/ batched P2P, USP (Hybrid Ring and Ulysses), Hybrid 2D and 3D Parallelism (💥USP + TP), VAE-P Comm overhead reduce.

🤖Contents

• 📙Sampling
• 📙Caching
• 📙Parallelism
• 📙Quantization
• 📙Attention

©️Citations

@misc{Awesome-DiT-Inference@2024,
  title={Awesome-DiT-Inference: A small curated list of Awesome Diffusion Inference.},
  url={https://github.com/xlite-dev/Awesome-DiT-Inference},
  note={Open-source software available at https://github.com/xlite-dev/Awesome-DiT-Inference},
  author={xlite-dev},
  year={2024}
}

📙 Sampling

Date	Title	Paper	Code	Recom
2020.06	🔥[DDPM] Denoising Diffusion Probabilistic Models(@UC Berkeley)	[pdf]	[diffusion]	⭐️⭐️
2020.10	🔥[DDIM] DENOISING DIFFUSION IMPLICIT MODELS(@cs.stanford.edu)	[pdf]	⚠️	⭐️⭐️
2022.02	🔥[PNDM] PSEUDO NUMERICAL METHODS FOR DIFFUSION MODELS ON MANIFOLDS(@)	[pdf]	[PNDM]	⭐️⭐️
2022.02	🔥[DPM-Solver] DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps(@Cheng Lu)	[pdf]	[dpm-solver]	⭐️⭐️
2022.11	🔥[DPM-Solver++] DPM-SOLVER++: FAST SOLVER FOR GUIDED SAMPLING OF DIFFUSION PROBABILISTIC MODELS(@Cheng Lu)	[pdf]	[dpm-solver]

📙 Caching

• UNet Based (DeepCache)

• DiT Based (Fast-Forward Caching)

Date	Title	Paper	Code	Recom
2023.05	🔥🔥[Cache-Enabled Sparse Diffusion] Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference(@pku.edu.cn etc)	[pdf]	⚠️	⭐️⭐️
2023.12	🔥🔥[DeepCache] DeepCache: Accelerating Diffusion Models for Free(@nus.edu)	[pdf]	[DeepCache]	⭐️⭐️
2023.12	🔥🔥[Block Caching] Cache Me if You Can: Accelerating Diffusion Models through Block Caching(@Meta GenAI etc)	[pdf]	⚠️	⭐️⭐️
2023.12	🔥🔥[Approximate Caching] Approximate Caching for Efficiently Serving Diffusion Models(@Adobe)	[pdf]	⚠️	⭐️⭐️
2024.06	🔥🔥[Layer Caching] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching(@nus.edu)	[pdf]	[learning-to-cache]	⭐️⭐️
2024.07	🔥[ElasticCache-LVLM] Efficient Inference of Vision Instruction-Following Models with Elastic Cache(@Tsinghua University etc)