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stevenshaw1999's Projects

anti-dreambooth icon anti-dreambooth

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

anyv2v icon anyv2v

Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks"

attend-and-excite icon attend-and-excite

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models"

co-tracker icon co-tracker

CoTracker is a model for tracking any point (pixel) on a video.

cogvideo icon cogvideo

Text-to-video generation. The repo for paper "CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer"

custom-diffusion icon custom-diffusion

Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)

diffsketcher icon diffsketcher

[NIPS 2023] Official implementation for "DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models" https://arxiv.org/abs/2306.14685

e4t-diffusion icon e4t-diffusion

Implementation of Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models

easyanimate icon easyanimate

📺 An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion

elite icon elite

Official Implementation of "ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation"

erasing icon erasing

Erasing Concepts from Diffusion Models

fatezero icon fatezero

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

gsgen icon gsgen

Text-to-3D using Gaussian Splatting

images-that-sound icon images-that-sound

Official repo for Images that sound: a special spectrogram that can be seen as images and played as sound generated by diffusions

inst icon inst

Official implementation of the paper “Inversion-Based Style Transfer with Diffusion Models” (CVPR 2023)

lora icon lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

open-sora-plan icon open-sora-plan

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

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