[ICLR 2024 Spotlight] This is the official PyTorch implementation of "EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models"
☆74Jun 4, 2024Updated 2 years ago
Alternatives and similar repositories for EfficientDM
Users that are interested in EfficientDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICCV 2025] QuEST: Efficient Finetuning for Low-bit Diffusion Models☆62Jun 26, 2025Updated last year
- The official implementation of PTQD: Accurate Post-Training Quantization for Diffusion Models☆103Mar 12, 2024Updated 2 years ago
- Implementation of Post-training Quantization on Diffusion Models (CVPR 2023)☆146Apr 1, 2023Updated 3 years ago
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆25Mar 29, 2024Updated 2 years ago
- Official Code For Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM☆14Dec 27, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- (ICLR 2025) BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models☆25Oct 4, 2024Updated last year
- [ICLR 2025] DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models☆20Mar 25, 2025Updated last year
- [CVPR 2024 Highlight & TPAMI 2025] This is the official PyTorch implementation of "TFMQ-DM: Temporal Feature Maintenance Quantization for…☆110Sep 29, 2025Updated 11 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆52Mar 25, 2025Updated last year
- [ICLR'25] ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation☆168Mar 21, 2025Updated last year
- A curated list of papers and code on efficient diffusion models for image, video, world modeling, and language generation. Covering accel…☆209Updated this week
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Jul 16, 2026Updated 2 months ago
- Official repository for VQDM:Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization paper☆32Sep 17, 2024Updated 2 years ago
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆80Sep 3, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.☆380Mar 21, 2024Updated 2 years ago
- (ICML-2025) Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers☆21Aug 13, 2025Updated last year
- [NeurIPS 2024] The official implementation of ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification☆33Mar 30, 2025Updated last year
- [ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference☆49Jun 4, 2024Updated 2 years ago
- This is the official pytorch implementation for the paper: Towards Accurate Post-training Quantization for Diffusion Models.(CVPR24 Poste …☆37Jun 4, 2024Updated 2 years ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆66Aug 9, 2024Updated 2 years ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Mar 11, 2024Updated 2 years ago
- ☆16Sep 12, 2023Updated 3 years ago
- [TIP 2026] The official implementation of "EDA-DM: Enhanced Distribution Alignment for Post-Training Quantization of Diffusion Models"☆24Jul 8, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [ICML2025] LoRA fine-tune directly on the INT4 models.☆42Nov 25, 2024Updated last year
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆134Sep 23, 2025Updated 11 months ago
- ☆21Jun 3, 2023Updated 3 years ago
- [NeurIPS 2023] Structural Pruning for Diffusion Models☆223Jul 8, 2024Updated 2 years ago
- PyTorch implementation of PTQ4DiT https://arxiv.org/abs/2405.16005☆50Nov 8, 2024Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆31Mar 12, 2024Updated 2 years ago
- [ICLR 2025] Official PyTorch implmentation of paper "T-Stitch: Accelerating Sampling in Pre-trained Diffusion Models with Trajectory Stit…☆107Feb 26, 2024Updated 2 years ago
- ☆15Mar 30, 2024Updated 2 years ago
- ☆192Jan 14, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- super-resolution; post-training quantization; model compression☆14Nov 10, 2023Updated 2 years ago
- [ICLR 2024] Jaiswal, A., Gan, Z., Du, X., Zhang, B., Wang, Z., & Yang, Y. Compressing llms: The truth is rarely pure and never simple.☆27Apr 21, 2025Updated last year
- A Compressed Stable Diffusion for Efficient Text-to-Image Generation [ECCV'24]☆325Jul 6, 2024Updated 2 years ago
- ☆66May 19, 2025Updated last year
- Tiny optimized Stable-diffusion that can run on GPUs with just 1GB of VRAM. (Beta)☆182Jul 20, 2023Updated 3 years ago
- [ICLR2025] Accelerating Diffusion Transformers with Token-wise Feature Caching☆224Mar 14, 2025Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆178Nov 26, 2025Updated 9 months ago