Python library for Furcadia

🥝 Lightweight bot framework for Furcadia written in Python

​​Unlimited-length talking video generation​​ that supports image-to-video and video-to-video generation

[NeurIPS 2025] SpatialLM: Training Large Language Models for Structured Indoor Modeling

Super Prompt Canvas 是一款为 ComfyUI 设计的图像编辑提示词生成插件，通过可视化画布标注和AI辅助，快速生成精准的编辑提示词。 核心功能：可视化画布标注 • AI智能提示词生成 • 智能背景移除 • 精准面部处理 • 40+编辑模板 • 支持多种AI模型 适用场景：电商产品图、社交媒体内容、人像美化、艺术创作

Official implementation of HYPIR: Harnessing Diffusion-Yielded Score Priors for Image Restoration (SIGGRAPH 2025)

An inference and training framework for multiple image input in Flux Kontext dev

High-resolution models for human tasks.

Implementation of MDM, MotionDiffuse and ReMoDiffuse into ComfyUI

[NeurIPS 2025] PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers

Here we will keep track of the latest AI Game Development Tools, including LLM, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analyti…

[SIGGRAPH Asia 2023] An interactive story visualization tool that support multiple characters

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.

An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)

A video and memory recorder for reverse engineering. Open a process, point it at a region of memory and pick a window to record, then watch or sweep through the video and see where memory changes.

[TIP2026] Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

🚀 One-stop solution for creating your digital avatar from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring your digital self to life. …

the easy way to fully accelerate your comfyUI on linux and Windows!

CrossOS automated setup for AI-development or day-to-day environments in Windows, Linux, and macOS.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.