wlfeng0509 / Awesome-Diffusion-DistillationLinks
A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welcome to PR the works (papers, repositories) missed by the repo.
☆40Updated 2 years ago
Alternatives and similar repositories for Awesome-Diffusion-Distillation
Users that are interested in Awesome-Diffusion-Distillation are comparing it to the libraries listed below
Sorting:
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆189Updated last year
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆116Updated last year
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆216Updated last year
- Open source implementation and models of One-step Diffusion with Distribution Matching Distillation☆180Updated last year
- Awesome List of Consistency Models☆127Updated last month
- Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models☆54Updated 2 years ago
- [CVPR 2025 Highlight] TinyFusion: Diffusion Transformers Learned Shallow☆156Updated last month
- PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)☆147Updated 9 months ago
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆95Updated 2 years ago
- [CVPR 2025] Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis☆130Updated 8 months ago
- Autoregressive Image Generation with Randomized Parallel Decoding☆84Updated 3 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆52Updated last year
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆103Updated last year
- Denoising Diffusion Step-aware Models (ICLR2024)☆62Updated last year
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆108Updated 4 months ago
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆349Updated 10 months ago
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆148Updated 11 months ago
- PyTorch implementation of One-step Diffusion with Distribution Matching Distillation☆55Updated last year
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆67Updated last year
- [ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy☆263Updated last year
- Code for our ICCV 2025 paper "Adaptive Caching for Faster Video Generation with Diffusion Transformers"☆164Updated last year
- Scalable Diffusion Models with State Space Backbone☆157Updated last year
- [ECCV 2024] Official pytorch implementation of "Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts"☆47Updated last year
- [ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"☆24Updated last year
- Paper survey of efficient computation for large scale models.☆34Updated last year
- Official PyTorch and Diffusers Implementation of "LinFusion: 1 GPU, 1 Minute, 16K Image"☆312Updated last year
- My Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf☆94Updated last year
- Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation☆95Updated last month
- [ICML 2025] Official code for the paper 'DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space'☆76Updated 5 months ago
- ☆45Updated last year