aengusng8

aengusng8's Stars

• essunny310/FreestyleNet

  [CVPR 2023 Highlight] Freestyle Layout-to-Image Synthesis

  Language:Python1503

• gligen/GLIGEN

  Open-Set Grounded Text-to-Image Generation

  Language:Python2k152

• gnobitab/InstaFlow

  :zap: InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)

  Language:Python1.2k41

• arpitbansal297/Universal-Guided-Diffusion

  Language:Jupyter Notebook46840

• songweige/rich-text-to-image

  Rich-Text-to-Image Generation

  Language:Python77065

• geekyutao/Inpaint-Anything

  Inpaint anything using Segment Anything and inpainting models.

  Language:Jupyter Notebook6.7k570

• rohitgandikota/unified-concept-editing

  Unified Concept Editing in Diffusion Models

  Language:Python1085

• abyildirim/inst-inpaint

  A novel inpainting framework that can remove objects from images based on the instructions given as text prompts.

  Language:Python36326

• vijishmadhavan/UnpromptedControl

  Remove unwanted objects and restore images without prompts, powered by ControlNet.

  Language:Jupyter Notebook47346

• microsoft/ReCo

  ReCo: Region-Controlled Text-to-Image Generation, CVPR 2023

  Language:Jupyter Notebook12211

• microsoft/GLIP

  Grounded Language-Image Pre-training

  Language:Python2.3k196

• naver-ai/DenseDiffusion

  Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

  Language:Jupyter Notebook48732

• ShihaoZhaoZSH/Uni-ControlNet

  [NeurIPS 2023] Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

  Language:Python62042

• omriav/blended-latent-diffusion

  Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]

  Language:Jupyter Notebook58236

• tencent-ailab/IP-Adapter

  The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

  Language:Jupyter Notebook5.5k349

• showlab/VisorGPT

  [NeurIPS 2023] Customize spatial layouts for conditional image synthesis models, e.g., ControlNet, using GPT

  Language:Python1333

• pliang279/awesome-phd-advice

  Collection of advice for prospective and current PhD students

  1.7k127

• yuval-alaluf/Attend-and-Excite

  Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

  Language:Jupyter Notebook71262

• danier97/LDMVFI

  [AAAI'2024] "LDMVFI: Video Frame Interpolation with Latent Diffusion Models", Duolikun Danier, Fan Zhang, David Bull

  Language:Python15115

• lucidrains/perfusion-pytorch

  Implementation of Key-Locked Rank One Editing, from Nvidia AI

  Language:Python2319

• 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:Python807

• PythonOT/POT

  POT : Python Optimal Transport

  Language:Python2.5k505

• artidoro/qlora

  QLoRA: Efficient Finetuning of Quantized LLMs

  Language:Jupyter Notebook10.1k826

• OSU-NLP-Group/MagicBrush

  [NeurIPS'23] "MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing".

  Language:Python31814

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k1.6k

• CrystalNeuro/visual-concept-translator

  Code of ICCV 2023 paper titled General Image-to-Image Translation with One-Shot Image Guidance

  Language:Python15712

• KohakuBlueleaf/HyperKohaku

  A diffusers based implementation of HyperDreamBooth

  Language:Python1287

• sail-sg/FDM

  The official PyTorch implementation of Fast Diffusion Model

  Language:Python945

• rinongal/textual_inversion

  Language:Jupyter Notebook2.9k283

• KohakuBlueleaf/LyCORIS

  Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

  Language:Python2.2k154