sdxl

1000+ ComfyUI workflows for AI image & video generation — Flux, SDXL, Hunyuan, CogVideo, upscaling, ControlNet & more

Node.js WebSockets API client for ComfyUI

Run AI workloads easily in a decentralized GPU network. https://www.youtube.com/watch?v=yQnB2Yxia4Y

LoRA Pilot is an ultimate docker image for all Stable Diffusion LoRA trainers. Includes kohya_ss, diffusion pipes and TensorBoard for trainings and ComfyUI and InvokeAI for validation. Features shared models, modules, custom integrations and automatization scripts.

Docker image for Stable Diffusion WebUI with ControlNet, After Detailer, Dreambooth, Deforum and ReActor extensions, as well as Kohya_ss and ComfyUI

Give your computer an AI Brain

Docker image for ComfyUI: The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

headache-free, expert, private, free and organic local AI generation

Easily install ComfyUI on a Linux system. Installs completely inside a Python venv.

Fastest Diffusion backend, WebUI, server. Pushing implementation and discovery of optimizations techniques 🚀

Use your own API keys with ComfyUI. No account required.

RunPod serverless worker for Fooocus-API. Standalone or with network volume

Privacy first powerful, browser-based tool for tagging, captioning, cropping and managing training datasets for Stable Diffusion's LoRA trainings. No install required.

An MCP server that enables AI assistants to generate images, text, and audio through the Pollinations APIs. Please see the newer MCP server, Nectar-MCP. Link below

CLI-native local AI image and video generation for people, scripts, and agents — CUDA on Linux, Metal on macOS, plus desktop, web, TUI, iPhone, REST/SSE, and MCP.

extension for Forge2 webui for Stable Diffusion; adds support for multi-prompting for Flux, SD3, sdXL; Shift for Flux, Sd3; override prediction type (v-prediction models); FluxTools

Prompt Engineering for Language models (GPT-3, GPT-4, chatGPT) and text-to-image models (Stable Diffusion, Midjourney, Dall-e)

✨ PyTorch implementation of "Cora: Correspondence-aware Image Editing Using Few-Step Diffusion", accepted at SIGGRAPH 2025.

A highly memory-efficient fine-tuning toolkit for SDXL and ANIMA, combining modern VRAM-saving techniques with custom optimizers to enable full-quality model training on GPUs with as little as 12 GB of VRAM.

Modern Stable Diffusion models family - Fluently