FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation

📰 ArXiv cs.AI

FastCache accelerates Diffusion Transformer inference through learnable linear approximation and caching

advanced Published 30 Mar 2026
Action Steps
  1. Identify redundancy in internal representations of Diffusion Transformers
  2. Implement hidden-state-level caching and compression using learnable linear approximation
  3. Optimize model inference by exploiting spatial-aware token representations
  4. Evaluate and refine FastCache framework for improved acceleration
Who Needs to Know This

AI engineers and researchers working on generative models can benefit from FastCache to improve inference efficiency, while machine learning engineers can apply this technique to optimize model performance

Key Insight

💡 Learnable linear approximation can effectively reduce computational intensity of Diffusion Transformers

Share This
🚀 FastCache accelerates Diffusion Transformer inference!

Key Takeaways

FastCache accelerates Diffusion Transformer inference through learnable linear approximation and caching

Full Article

Title: FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation

Abstract:
arXiv:2505.20353v3 Announce Type: replace-cross Abstract: Diffusion Transformers (DiT) are powerful generative models but remain computationally intensive due to their iterative structure and deep transformer stacks. To alleviate this inefficiency, we propose \textbf{FastCache}, a hidden-state-level caching and compression framework that accelerates DiT inference by exploiting redundancy within the model's internal representations. FastCache introduces a dual strategy: (1) a spatial-aware token
Read full paper → ← Back to Reads

Related Videos

5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Chapter 3: Looking Inside Large Language Models | Hands-On Large Language Models Book
Chapter 3: Looking Inside Large Language Models | Hands-On Large Language Models Book
onepagecode
Hands-On Large Language Models | Chapter 7: Advanced Text Generation Techniques
Hands-On Large Language Models | Chapter 7: Advanced Text Generation Techniques
onepagecode
Hands-On LLMs - Chapter 1: An Introduction to Large Language Models
Hands-On LLMs - Chapter 1: An Introduction to Large Language Models
onepagecode
Chapter 2: Tokens and Embeddings | Hands-On Large Language Models Book
Chapter 2: Tokens and Embeddings | Hands-On Large Language Models Book
onepagecode
Hands-On Large Language Models | Chapter 5: Text Clustering and Topic Modeling
Hands-On Large Language Models | Chapter 5: Text Clustering and Topic Modeling
onepagecode