[ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models
☆57Jun 26, 2025Updated 8 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…☆68Jun 4, 2024Updated last year
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆141Apr 1, 2023Updated 2 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆74Sep 3, 2024Updated last year
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆370Mar 21, 2024Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆149Mar 21, 2025Updated 11 months ago
- Dataset Quantization with Active Learning based Adaptive Sampling [ECCV 2024]☆10Jul 9, 2024Updated last year
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆26Oct 4, 2024Updated last year
- ☆190Jan 14, 2025Updated last year
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆19Aug 13, 2025Updated 6 months ago
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆37Aug 20, 2024Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆108Sep 29, 2025Updated 5 months ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆128Sep 23, 2025Updated 5 months ago
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Nov 20, 2024Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆79Mar 17, 2025Updated 11 months ago
- [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric☆60Mar 23, 2023Updated 2 years ago
- [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.☆180Oct 3, 2024Updated last year
- DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing (WACV 2025)☆12Feb 7, 2026Updated 3 weeks ago
- Minute-long video generation at 24FPS.☆50Feb 2, 2026Updated 3 weeks ago
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Feb 15, 2025Updated last year
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Mar 25, 2025Updated 11 months ago
- [ICML2025] LoRA fine-tune directly on the quantized models.☆39Nov 25, 2024Updated last year
- Official Code For Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM☆14Dec 27, 2023Updated 2 years ago
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆14Nov 27, 2024Updated last year
- ☆15Sep 24, 2023Updated 2 years ago
- [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆69Jan 13, 2026Updated last month
- Paper survey of efficient computation for large scale models.☆34Dec 7, 2024Updated last year
- Model deployment, Yolov4, xilinx, Ultra96_v2.☆15Nov 4, 2021Updated 4 years ago
- Faster generation with text-to-image diffusion models.☆231Jun 28, 2025Updated 8 months ago
- ☆52Nov 5, 2024Updated last year
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Mar 24, 2023Updated 2 years ago
- Scaling Sparse Fine-Tuning to Large Language Models☆18Jan 31, 2024Updated 2 years ago
- [ICLR 2025] DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models☆19Mar 25, 2025Updated 11 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆211Nov 25, 2025Updated 3 months ago
- Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.☆18Aug 12, 2020Updated 5 years ago
- [ECCV2024] Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models☆20Jul 17, 2024Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆49Nov 27, 2024Updated last year
- Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation, ICML 2024☆22Jun 26, 2024Updated last year
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆21Jun 11, 2025Updated 8 months ago