OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

Get your documents ready for gen AI

⬆ Dead simple, dependency-less, spec-compliant server-sent events implementation for Node, written in TypeScript.

A database and connection provider for Yjs based on Firestore (Firebase). 🔥 y-fire helps you create serverless collaborative web apps.

A Docker Container to easily run a Palworld dedicated server.

Custom nodes pack for ComfyUI This custom node helps to conveniently enhance images through Detector, Detailer, Upscaler, Pipe, and more.

A collection of ComfyUI custom nodes. ⚠️ WARNING: This repo is no longer maintained.

Easy Docker setup for Stable Diffusion with user-friendly UI

some wyrde workflows for comfyUI

🛋 The AI and Generative Art platform for everyone

A Personalised AI Assistant Inspired by 'Diamond Age, Powered by SMS

An AI-app that allows you to upload a PDF and ask questions about it. It uses StableVicuna 13B and runs locally.

🦜🔗 Build context-aware reasoning applications 🦜🔗

🦜🔗 Build context-aware reasoning applications

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

A Gradio web UI for Large Language Models.

Docker variants of oobabooga's text-generation-webui, including pre-built images.

ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, th…

Templates to view the variety of a prompt based on the samplers available in ComfyUI. Variety of sizes and singlular seed and random seed templates.

An extensive node suite for ComfyUI with over 210 new nodes

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Helps to draw informations in simple tables using pdfkit. #server-side. Generate pdf tables with javascript (PDFKIT plugin)

Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.

Decorator-based transformation, serialization, and deserialization between objects and classes.

convert between bounds and viewports