[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

[ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

T-GATE: Temporally Gating Attention to Accelerate Diffusion Model for Free!

The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Memory"

[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

[Arxiv 2024] Official pytorch implementation of "VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models"

[ICLR 2024] Generating DP Synthetic Data without Training

Official implementation of UniCtrl: Improving the Spatiotemporal Consistency of Text-to-Video Diffusion Models via Training-Free Unified Attention Control

FreeVA: Offline MLLM as Training-Free Video Assistant

[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

PyTorch Implementation of NACLIP in "Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation"

This repo is the official implementation of iSeg: An Iterative Refinement-based Framework for Training-free Segmentation. Now We provide an interactive demo and the other part will be released as soon as possible.

[CVPR'24] Code for Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models

Unofficial Implementation of Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis

A list of Training-Free NAS papers.

This repository contains official implementation of the paper "Training-Free Zero-Shot Semantic Segmentation with LLM Refinement" (BMVC 2024).