DeepCache

Feature reuse accelerator

A novel paradigm to accelerate diffusion models by reusing and updating high-level features in a cheap way

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

GitHub

818 stars
15 watching
39 forks
Language: Python
last commit: about 2 years ago
diffusion-modelsefficient-inferencemodel-compressionstable-diffusiontraining-free

Related projects:

RepositoryDescriptionStars
deepseek-ai/deepseek-moeA large language model with improved efficiency and performance compared to similar models1,024
vonfeng/deepmoveA PyTorch-based implementation of a predictive model for human mobility patterns using attention mechanisms and recurrent neural networks.149
kefirski/pytorch_rvaeA deep learning implementation of a recurrent variational autoencoder for generating sequential data.357
lge-arc-advancedai/auptimizerAutomates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.200
dome272/wuerstchenA framework that enables efficient training of text-to-image models by compressing the computationally expensive stage into a latent space531
deepset-ai/farmAn open-source framework for adapting representation models to various tasks and industries1,743
diffusionkinetics/openA monorepo of Haskell projects focused on data science and machine learning116
ecmwfcode4earth/deeprProject aimed at downscaling global climate data to higher resolutions using deep learning techniques.24
baguasys/baguaA framework for accelerating PyTorch deep learning training876
rentruewang/koilaA lightweight wrapper around PyTorch to prevent CUDA out-of-memory errors and optimize model execution1,823
leopiney/tensor-safeA Haskell framework for defining and compiling valid deep learning models to external frameworks like TensorFlow JS or Keras.101
maxpumperla/elephasEnables distributed deep learning with Keras and Spark for scalable model training1,574
huaifeng1993/dfanetAn implementation of a deep learning model for real-time semantic segmentation255
deepseek-ai/deepseek-vlA multimodal AI model that enables real-world vision-language understanding applications2,145
autodistill/autodistillAutomatically trains models from large foundation models to perform specific tasks with minimal human intervention.2,022