thu-nics / VGDFRLinks
VGDFR: Diffuison-based Video Generation with Dynamic Frame Rate
☆13Updated 4 months ago
Alternatives and similar repositories for VGDFR
Users that are interested in VGDFR are comparing it to the libraries listed below
Sorting:
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆180Updated 6 months ago
- The official code for "MagCache: Fast Video Generation with Magnitude-Aware Cache"☆205Updated last week
- [ICCV2025] From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers☆291Updated last month
- https://wavespeed.ai/ Context parallel attention that accelerates DiT model inference with dynamic caching☆381Updated 3 months ago
- [NeurIPS 2025] Radial Attention: O(nlogn) Sparse Attention with Energy Decay for Long Video Generation☆517Updated 2 weeks ago
- Light Video Generation Inference Framework☆614Updated this week
- [ICML2025, NeurIPS2025 Spotlight] Sparse VideoGen 1 & 2: Accelerating Video Diffusion Transformers with Sparse Attention☆481Updated last week
- ☆178Updated 8 months ago
- Combining Teacache with xDiT to Accelerate Visual Generation Models☆31Updated 5 months ago
- [ICLR 2025] FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality☆249Updated 9 months ago
- An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…☆143Updated 3 months ago
- Unofficial extension implementation of Self-Forcing to support I2V && 14B training.☆189Updated this week
- [NeurIPS 2025] Official PyTorch implementation of paper "CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up".☆210Updated last week
- Adaptive Caching for Faster Video Generation with Diffusion Transformers☆159Updated 11 months ago
- [ICCV 2025][Few-Step Student Surpasses Teacher Diffusion] Learning Few-Step Diffusion Models by Trajectory Distribution Matching☆52Updated last month
- [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising☆205Updated last week
- Model Compression Toolbox for Large Language Models and Diffusion Models☆655Updated last month
- [NeurIPS 2025] Training-Free Efficient Video Generation via Dynamic Token Carving☆246Updated 2 months ago
- Unofficial extension implementation of CausVid☆58Updated 5 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆123Updated 6 months ago
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated 2 months ago
- An out-of-the-box inference acceleration engine for Diffusion and DiT models☆54Updated 6 months ago
- ☆53Updated last month
- Aiming to integrate most existing feature caching-based diffusion acceleration schemes into a unified framework.☆55Updated this week
- Official code for VMix: Improving Text-to-Image Diffusion Model with Cross-Attention Mixing Control☆188Updated 9 months ago
- DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space☆183Updated this week
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 10 months ago
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆104Updated this week
- A Unified Cache Acceleration Framework for 🤗 Diffusers: Qwen-Image-Lightning, Qwen-Image, HunyuanImage, FLUX, Wan, etc.☆371Updated this week
- Official PyTorch Implementation of "Optimal Stepsize for Diffusion Sampling".☆190Updated 5 months ago