ziplab / efficient-stable-diffusionLinks
☆16Updated 2 years ago
Alternatives and similar repositories for efficient-stable-diffusion
Users that are interested in efficient-stable-diffusion are comparing it to the libraries listed below
Sorting:
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 10 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- [ICCV 2025] The official implementation of "Neighboring Autoregressive Modeling for Efficient Visual Generation"☆58Updated 10 months ago
- Official implementation of paper "VMoBA: Mixture-of-Block Attention for Video Diffusion Models"☆60Updated 7 months ago
- Official implementation of Next Block Prediction: Video Generation via Semi-Autoregressive Modeling☆41Updated 11 months ago
- Memory Efficient Training Framework for Large Video Generation Model☆25Updated last year
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆165Updated last year
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆81Updated 6 months ago
- This repository provides an improved LLamaGen Model, fine-tuned on 500,000 high-quality images, each accompanied by over 300 token prompt…☆30Updated last year
- Official PyTorch implementation of the paper "Equivariant Image Modeling"(https://arxiv.org/abs/2503.18948)☆34Updated 6 months ago
- ☆109Updated last year
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆89Updated last year
- A light-weight and high-efficient training framework for accelerating diffusion tasks.☆51Updated last year
- The official implementation of "Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers" (arXiv …☆50Updated 8 months ago
- VideoNSA: Native Sparse Attention Scales Video Understanding☆79Updated 2 months ago
- Official implementation of MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis☆86Updated last year
- Official implementation of "Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization"☆82Updated last year
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆48Updated 9 months ago
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆36Updated 11 months ago
- [Arxiv 2025] In-Video Instructions: Visual Signals as Generative Control☆47Updated 2 months ago
- Codebase for the paper-Elucidating the design space of language models for image generation☆46Updated last year
- T2I-Copilot: A Training-Free Multi-Agent Text-to-Image System for Enhanced Prompt Interpretation and Interactive Generation (ICCV'25)☆41Updated 4 months ago
- The official repo of continuous speculative decoding☆31Updated 10 months ago
- [CVPR2025] Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think☆23Updated 7 months ago
- Code for Draft Attention☆99Updated 8 months ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- Glance: Accelerating Diffusion Models with 1 Sample☆152Updated last month
- This is the official PyTorch implementation of "BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation."☆38Updated 3 months ago
- CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation Method☆27Updated 3 months ago