prathebaselva / FORALinks
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
☆49Updated last year
Alternatives and similar repositories for FORA
Users that are interested in FORA are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆159Updated 11 months ago
- ☆179Updated 8 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆183Updated 8 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆46Updated 3 months ago
- Code for Draft Attention☆90Updated 4 months ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆46Updated 4 months ago
- ☆87Updated 6 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 6 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated 2 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆57Updated 6 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆43Updated 5 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆77Updated 6 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆102Updated last year
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆40Updated this week
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆75Updated 2 months ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆142Updated 6 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆104Updated last week
- [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models☆39Updated 6 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆66Updated last year
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆83Updated 10 months ago
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN-type Discrimination☆102Updated 2 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆106Updated last week
- ☆40Updated 3 months ago
- [CVPR 2025] Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis☆122Updated 4 months ago
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆38Updated 6 months ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 7 months ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆185Updated 6 months ago
- Open source implementation and models of One-step Diffusion with Distribution Matching Distillation☆155Updated last year