hatchetProject / QuESTLinks
[ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models
☆53Updated 2 months ago
Alternatives and similar repositories for QuEST
Users that are interested in QuEST are comparing it to the libraries listed below
Sorting:
- [ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Di…☆66Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆101Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆103Updated 2 months ago
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆118Updated 5 months ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆140Updated 2 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆61Updated last year
- Curated list of methods that focuses on improving the efficiency of diffusion models☆46Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆45Updated 9 months ago
- ☆14Updated 5 months ago
- [NeurIPS 2024] Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching☆113Updated last year
- ☆175Updated 8 months ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆201Updated last year
- The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆15Updated 2 months ago
- Learnable Semi-structured Sparsity for Vision Transformers and Diffusion Transformers☆14Updated 7 months ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆33Updated 10 months ago
- ☆13Updated 2 months ago
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆353Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Updated 9 months ago
- FORA introduces simple yet effective caching mechanism in Diffusion Transformer Architecture for faster inference sampling.☆48Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆23Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆55Updated 6 months ago
- [ICLR'25] ARB-LLM: Alternating Refined Binarizations for Large Language Models☆27Updated last month
- Code for Draft Attention☆90Updated 3 months ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆166Updated 11 months ago
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆62Updated last month
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆24Updated 11 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆54Updated 5 months ago
- ☆96Updated 3 months ago
- Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation☆71Updated 2 months ago
- This is the official repo for the paper "Accelerating Parallel Sampling of Diffusion Models" Tang et al. ICML 2024 https://openreview.net…☆16Updated last year