Timor Kardum's starred repositories
PowerPaint
[ECCV 2024] PowerPaint, a versatile image inpainting model that supports text-guided object inpainting, object removal, image outpainting and shape-guided object inpainting with only a single model. 一个高质量多功能的图像修补模型,可以同时支持插入物体、移除物体、图像扩展、形状可控的物体生成,只需要一个模型
ai-chat-website
AI Chat Website (NextJS + Aidbase Elements)
Perplexica
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
MultiBooth
[arXiv 2024] MultiBooth: This repo is the official implementation of "MultiBooth: Towards Generating All Your Concepts in an Image from Text"
AutoScraper
Official implement of paper "AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation"
ThemeStation
[SIGGRAPH 2024] ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars
ComfyUI_VLM_nodes
Custom ComfyUI nodes for Vision Language Models, Large Language Models, Image to Music, Text to Music, Consistent and Random Creative Prompt Generation
res-adapter
Official implementation of "ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models".
distrifuser
[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
LayerDiffuse
Transparent Image Layer Diffusion using Latent Transparency
notesollama
Use Ollama to talk to local LLMs in Apple Notes
GaussianObject
GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting (SIGGRAPH Asia 2024, TOG)
Self-Cascade
[ECCV2024] Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation
boximator.github.io
Website code for Boximator: Generating Rich and Dynamic Motions for Video Synthesis
AnimateLCM
[SIGGRAPH ASIA 2024 TCS] AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
IP-Adapter-Negative
Negative image prompt for Stable Diffusion using the IP-adapter.
I2V-Adapter-repo
I2V-Adapter: A General Image-to-Video Adapter for Video Diffusion Models
personalized-restoration
GitHub repository for the paper 'Personalized Restoration via Dual-Pivot Tuning'.