prathebaselva / FORALinks
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
☆48Updated last year
Alternatives and similar repositories for FORA
Users that are interested in FORA are comparing it to the libraries listed below
Sorting:
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆159Updated 10 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆113Updated last year
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆183Updated 7 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆45Updated 2 months ago
- ☆175Updated 8 months ago
- Code for Draft Attention☆90Updated 3 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 5 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆42Updated 4 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated 2 months ago
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆75Updated 2 months ago
- DC-Gen: Accelerating Diffusion Models with Compressed Latent Space☆80Updated 2 weeks ago
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN-type Discrimination☆99Updated last month
- Official implementation of DiCache: Let Diffusion Model Determine Its Own Cache☆30Updated 2 weeks ago
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆44Updated 3 months ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆57Updated 5 months ago
- ☆87Updated 5 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆83Updated 10 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆61Updated last year
- Autoregressive Image Generation with Randomized Parallel Decoding☆73Updated 5 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆49Updated 4 months ago
- ☆179Updated 9 months ago
- ☆38Updated 3 months ago
- Open source implementation and models of One-step Diffusion with Distribution Matching Distillation☆153Updated last year
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models☆39Updated 6 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 7 months ago
- [CVPR 2025] Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis☆120Updated 4 months ago
- HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation☆64Updated 6 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆105Updated 5 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 11 months ago