Alternatives and similar repositories for Awesome-Efficient-Video-Generation

Users that are interested in Awesome-Efficient-Video-Generation are comparing it to the libraries listed below

• mit-han-lab / VisCompare
  A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders
  ☆23Updated 6 months ago
• ThisisBillhe / ZipAR
  [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…
  ☆52Updated 5 months ago
• horseee / learning-to-cache
  [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
  ☆111Updated last year
• horseee / dKV-Cache
  ☆90Updated 3 months ago
• shawnricecake / draft-attention
  Code for Draft Attention
  ☆90Updated 3 months ago
• csguoh / IntLoRA
  [ICML2025] LoRA fine-tune directly on the quantized models.
  ☆35Updated 9 months ago
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆51Updated 6 months ago
• microsoft / RAS
  An open-source implementation of Regional Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional var…
  ☆138Updated 2 months ago
• A-suozhang / MixDQ
  [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
  ☆14Updated 9 months ago
• KD-TAO / VidKV
  VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
  ☆22Updated 5 months ago
• StargazerX0 / ScaleKV
  ScaleKV: Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression
  ☆46Updated 2 months ago
• A-suozhang / Awesome-Efficient-Diffusion
  Curated list of methods that focuses on improving the efficiency of diffusion models
  ☆46Updated last year
• KwaiVGI / VMoBA
  Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"
  ☆41Updated last month
• ziplab / efficient-stable-diffusion
  ☆16Updated last year
• z-lab / sparselora
  [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity
  ☆51Updated last month
• lliai / Awesome-Efficient-Diffusion-Models
  Paper survey of efficient computation for large scale models.
  ☆34Updated 8 months ago
• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆92Updated 9 months ago
• Lucky-Lance / TerDiT
  TerDiT: Ternary Diffusion Models with Transformers
  ☆71Updated last year
• A-suozhang / ViDiT-Q
  ☆14Updated 5 months ago
• mit-han-lab / x-attention
  [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring
  ☆219Updated last month
• NVlabs / T-Stitch
  [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…
  ☆103Updated last year
• Juanerx / Q-DiT
  [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  ☆56Updated 11 months ago
• ThisisBillhe / EfficientDM
  [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…
  ☆64Updated last year
• mit-han-lab / lpd
  Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation
  ☆67Updated last month
• prathebaselva / FORA
  FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.
  ☆48Updated last year
• thu-nics / DiTFastAttn
  ☆173Updated 7 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• ali-vilab / matrix
  ☆33Updated 4 months ago
• ziplab / PTQD
  The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models
  ☆100Updated last year
• hatchetProject / QuEST
  [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models
  ☆52Updated 2 months ago