prathebaselva / FORALinks
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
☆47Updated 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☆107Updated last year
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆152Updated 8 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆182Updated 5 months ago
- ☆170Updated 6 months ago
- Code for Draft Attention☆85Updated last month
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆55Updated last week
- ☆82Updated 3 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆50Updated 3 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆68Updated 3 months ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆51Updated 3 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆81Updated 7 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆39Updated 2 months ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆130Updated 3 months ago
- TerDiT: Ternary Diffusion Models with Transformers☆71Updated last year
- [CVPR 2025] Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis☆112Updated 2 months ago
- ✈️ [ICCV 2025] Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆71Updated 3 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN-type Discrimination☆85Updated 3 weeks ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆34Updated 2 weeks ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆102Updated 3 months ago
- (ToCa-v2) A New version of ToCa，with faster speed and better acceleration!☆37Updated 4 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆364Updated last month
- ☆88Updated last month
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆133Updated 3 weeks ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 9 months ago
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆43Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆53Updated 10 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆47Updated 2 months ago
- Open source implementation and models of One-step Diffusion with Distribution Matching Distillation☆151Updated last year