agwmon

agwmon's Stars

• IDEA-Research/Grounded-Segment-Anything

  Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  Language:Jupyter Notebook14.9k1133871.4k

• PKU-YuanGroup/Open-Sora-Plan

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

  Language:Python11.3k1583061k

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook11.1k64259944

• HVision-NKU/StoryDiffusion

  Accepted as [NeurIPS 2024] Spotlight Presentation Paper

  Language:Jupyter Notebook5.9k85143588

• AILab-CVC/VideoCrafter

  VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

  Language:Python4.5k7084334

• Kwai-Kolors/Kolors

  Kolors Team

  Language:Python3.7k36129248

• google/style-aligned

  Official code for "Style Aligned Image Generation via Shared Attention"

  Language:Python1.2k212790

• TencentARC/MasaCtrl

  [ICCV 2023] Consistent Image Synthesis and Editing

  Language:Python723204826

• mkshing/ziplora-pytorch

  Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"

  Language:Python508111934

• snap-research/Panda-70M

  [CVPR 2024] Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers

  Language:Python508114420

• yzhang2016/video-generation-survey

  A reading list of video generation

  38628130

• SalesforceAIResearch/DiffusionDPO

  Code for "Diffusion Model Alignment Using Direct Preference Optimization"

  Language:Python24371522

• Perp-Neg/Perp-Neg-stablediffusion

  source code for Stable Diffusion with Perp-Neg

  Language:Jupyter Notebook188637

• ExplainableML/ReNO

  [NeurIPS 2024] ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

  Language:Python76585

• ChenDarYen/Key-Locked-Rank-One-Editing-for-Text-to-Image-Personalization

  An Pytorch implementation of the paper Key-Locked Rank One Editing for Text-to-Image Personalization

  Language:Python757177

• omer11a/bounded-attention

  Language:Python75787

• oss-roettger/XL-Textual-Inversion

  Textual Inversion for Stable Diffusion XL 1.0

  Language:Jupyter Notebook72276

• agwmon/MuDI

  MuDI: Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models (NeurIPS 2024)

  Language:Jupyter Notebook66313

• kyungmnlee/dco

  Language:Python63333

• qqingzheng/AI-Self-Training-DPO-SDXL

  Unofficial implementation. Stable diffusion model trained by AI Feedback-Based Self-Training Direct Preference Optimization.

  Language:Python59356

• shaibagon/diffusers_ddim_inversion

  A simple example for using `DDIMInverseScheduler` for inverting an input image to StableDiffusion's latent space

  Language:Python59144

• Lingzhi-Pan/PILOT

  Official Implement of the work "Coherent and Multi-modality Image Inpainting via Latent Space Optimization"

  Language:Python412

• Young98CN/LoRA_Composer

  LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models

  Language:Python41553

• wfanyue/DPG-T2I-Personalization

  [ECCV 2024] Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning

  Language:Python32431

• xavihart/Diff-Protect

  🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack

  Language:Python32134

• liuyixin-louis/MetaCloak

  [CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

  Language:Python18241

• xiefan-guo/i4vgen

  [arXiv 2024] I4VGen: Image as Free Stepping Stone for Text-to-Video Generation

  Language:Python17212

• Shawn-Shan/nightshade-release

  Research code release for the Nightshade project from University of Chicago

  Language:Python14206

• JJ-Vice/BAGM

  All code and data necessary to replicate experiments in the paper BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models.

  Language:Jupyter Notebook6110

• zhangxulu1996/GAL4Personalization

  Official implementation of generative active learning for image synthesis personalization (ACM MM 2024)

  Language:Python6300