prathebaselva / FORALinks
FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
☆46Updated 10 months ago
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☆104Updated 10 months ago
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆146Updated 7 months ago
- ✈️ Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints☆67Updated 2 months ago
- ☆167Updated 4 months ago
- ☆78Updated 2 months ago
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆178Updated 4 months ago
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆39Updated last month
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆37Updated 2 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆102Updated 2 months ago
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆47Updated 2 months ago
- Inference-only implementation of "One-Step Diffusion Distillation through Score Implicit Matching" [NIPS 2024]☆81Updated 6 months ago
- [ICML 2025 Spotlight] Direct Discriminative Optimization: Supercharging Diffusion/Autoregressive with GAN☆33Updated this week
- Autoregressive Image Generation with Randomized Parallel Decoding☆63Updated 2 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 7 months ago
- No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves☆53Updated this week
- ☆74Updated 2 weeks ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆14Updated 10 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆32Updated 3 months ago
- PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT☆98Updated last month
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆128Updated 3 months ago
- [ICML2025] Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity☆292Updated last week
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- ☆31Updated last month
- [Preprint] GMem: A Modular Approach for Ultra-Efficient Generative Models☆35Updated 2 months ago
- ☆163Updated 5 months ago
- TokenBridge: Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation. https://yuqingwang1029.github.io/TokenBridge☆116Updated 3 weeks ago
- The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆50Updated 2 months ago
- [ICLR 2025] Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching☆46Updated last month
- Official PyTorch Implementation of "Diffusion Autoencoders are Scalable Image Tokenizers"☆118Updated 4 months ago
- Official Pytorch implementation for LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior (ICLR 2025 Oral).☆71Updated 3 months ago