microsoft / RAS
An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps
☆125Updated 2 months ago
Alternatives and similar repositories for RAS:
Users that are interested in RAS are comparing it to the libraries listed below
- ☆166Updated last week
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆145Updated 5 months ago
- ☆157Updated 3 months ago
- Accelerating Diffusion Transformers with Token-wise Feature Caching☆130Updated last month
- 📚 Collection of awesome generation acceleration resources.☆202Updated this week
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆101Updated 9 months ago
- From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆68Updated 2 weeks ago
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆195Updated last month
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆178Updated 2 months ago
- Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆204Updated last week
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆210Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆44Updated 9 months ago
- ☆65Updated 3 weeks ago
- ☆84Updated 4 months ago
- (CVPR 2025) From Slow Bidirectional to Fast Autoregressive Video Diffusion Models☆143Updated 2 weeks ago
- The code of our work "Golden Noise for Diffusion Models: A Learning Framework".☆150Updated 2 months ago
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆46Updated 3 weeks ago
- X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation☆60Updated 2 weeks ago
- An Efficient Text-to-Image Generation Pretrain Pipeline☆99Updated 3 weeks ago
- GenEval: An object-focused framework for evaluating text-to-image alignment☆220Updated last month
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆300Updated 3 months ago
- VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation☆216Updated 3 weeks ago
- (ToCa-v2) A New version of ToCa,with faster speed and better acceleration!☆31Updated last month
- [ICLR 2025] OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation☆272Updated last month
- Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think!☆99Updated last month
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆100Updated last year
- ☆78Updated 2 weeks ago
- Video-Infinity generates long videos quickly using multiple GPUs without extra training.☆179Updated 8 months ago
- A parallelism VAE avoids OOM for high resolution image generation☆61Updated 2 months ago
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆238Updated 2 weeks ago