VainF / Diff-PruningLinks
[NeurIPS 2023] Structural Pruning for Diffusion Models
☆194Updated 10 months ago
Alternatives and similar repositories for Diff-Pruning
Users that are interested in Diff-Pruning are comparing it to the libraries listed below
Sorting:
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆138Updated 2 years ago
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆60Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆45Updated 10 months ago
- 🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"☆239Updated 3 years ago
- Implementation of the 2023 CVPR Award Candidate: On Distillation of Guided Diffusion Models☆50Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆98Updated last year
- [CVPR 2024 Highlight] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Mo…☆63Updated 10 months ago
- QuEST: Efficient Finetuning for Low-bit Diffusion Models☆45Updated 4 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆104Updated 10 months ago
- [NeurIPS 2024] Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"☆335Updated 2 months ago
- A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welc…☆32Updated last year
- PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight☆138Updated last year
- ☆45Updated last year
- PyTorch code and model checkpoints for Score identity Distillation (SiD) and its adversarial version (SiDA)☆121Updated 2 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆347Updated last year
- [NeurIPS 2022, T-PAMI 2023] Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models☆265Updated last year
- SpeeD: A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training☆178Updated 4 months ago
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆285Updated 11 months ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆50Updated 9 months ago
- My Implementation of Adversarial Diffusion Distillation https://arxiv.org/pdf/2311.17042.pdf☆71Updated 6 months ago
- official code for Diff-Instruct algorithm for one-step diffusion distillation☆76Updated 4 months ago
- [NeurIPS 2024] The official code of "U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers"☆207Updated 8 months ago
- [ICML 2023] official implementation for "Input Perturbation Reduces Exposure Bias in Diffusion Models"☆115Updated 2 months ago
- Implementation of "DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning"☆93Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆98Updated 2 months ago
- ☆78Updated 2 months ago
- [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient☆102Updated 2 months ago
- Accelerating Diffusion Models via Early Stop of the Diffusion Process☆37Updated 3 years ago
- Official code for "DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics" (NeurIPS 2023)☆117Updated last year
- STAR: Scale-wise Text-to-image generation via Auto-Regressive representations☆141Updated 3 months ago