lliai / Awesome-Efficient-Diffusion-Models
Paper survey of efficient computation for large scale models.
☆32Updated 5 months ago
Alternatives and similar repositories for Awesome-Efficient-Diffusion-Models
Users that are interested in Awesome-Efficient-Diffusion-Models are comparing it to the libraries listed below
Sorting:
- This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality"☆47Updated last month
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆102Updated 10 months ago
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆41Updated 10 months ago
- VidKV: Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models☆19Updated last month
- [ICLR 2025] Implementation of Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding☆37Updated 3 weeks ago
- Adapting LLaMA Decoder to Vision Transformer☆28Updated 11 months ago
- ☆16Updated last year
- The official repo of continuous speculative decoding☆26Updated last month
- A PyTorch implementation of the paper "Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis"☆45Updated 11 months ago
- Official implementation of Next Block Prediction: Video Generation via Semi-Autoregressive Modeling☆31Updated 3 months ago
- Official GitHub repository for the Text-Guided Video Editing (TGVE) competition of LOVEU Workshop @ CVPR'23.☆75Updated last year
- Codebase for the paper-Elucidating the design space of language models for image generation☆45Updated 6 months ago
- The official implementation for "MonoFormer: One Transformer for Both Diffusion and Autoregression"☆86Updated 7 months ago
- Data distillation benchmark☆59Updated this week
- [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"☆21Updated last year
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆32Updated last year
- Source code for "A Dense Reward View on Aligning Text-to-Image Diffusion with Preference" (ICML'24).☆38Updated last year
- Official PyTorch implementation of the paper "Equivariant Image Modeling"(https://arxiv.org/abs/2503.18948)☆33Updated 3 weeks ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆101Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆44Updated 10 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆45Updated 10 months ago
- fixed official code for paper "A Closer Look at Parameter-Efficient Tuning in Diffusion Models".☆41Updated last year
- Codes accompanying the paper "Toward Guidance-Free AR Visual Generation via Condition Contrastive Alignment"☆31Updated 3 months ago
- ☆17Updated 4 months ago
- Training code for CLIP-FlanT5☆26Updated 9 months ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated 11 months ago
- The official implementation of Distribution Backtracking Distillation for One-step Diffusion Models☆28Updated 3 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆100Updated last month
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation☆57Updated 2 months ago