ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.
One-command installer for a self-hosted AI stack on your own server: n8n, Ollama, Open WebUI, OpenClaw, Dify, Flowise, Supabase, ComfyUI, Qdrant & 30+ tools. Docker Compose, automatic HTTPS via Caddy, built-in monitoring. Free Zapier/Make alternative.
Dockerfile and Docker Compose setup for ComfyUI - Works on Linux or Windows with NVIDIA GPUs
🚀 AI LaunchKit - Complete self-hosted AI development toolkit with 50+ pre-configured tools including n8n, bolt.diy, ComfyUI, and more. One-command installation.
Session-scoped Claude Code agent for ComfyUI video production — 12 specialized skills for image gen, video, voice cloning, LoRA training, and publishing
Bleeding-edge ComfyUI for NVIDIA DGX Spark (GB10/Blackwell/sm_121a). CUDA 13 + SageAttention v3 (sm_121a) + NVFP4 + 14 custom-node packs + Flux 2 Dev / LTX 2.3 22B / ACE-Step v1.5 XL Turbo pre-bundled with abliterated text-encoder paths.
Docker image for Stable Diffusion WebUI with ControlNet, After Detailer, Dreambooth, Deforum and ReActor extensions, as well as Kohya_ss and ComfyUI
Docker image for ComfyUI: The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Easily install ComfyUI on a Linux system. Installs completely inside a Python venv.
Docker-based setup for running ComfyUI with FLUX.1 models
🧊A portable package for running StableFast3D on Windows. | SF3D 整合包
多平台 Stable Diffusion 部署，管理脚本。全新版本：https://github.com/licyk/sd-webui-all-in-one-launcher
DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Server for API usage and designed to support OpenWebUI OpenAPI Tool use.
Stack to self-host your own ComfyUI instance
Run LLMs on AMD Vega8 / Vega10 APUs and GPUs (Ryzen 5700G / gfx90c and Vega 56/64): ROCm 7 gfx900 backport + Vulkan/RADV launchers, Docker images, benchmarks for llama.cpp and LM Studio
🚀 Complete self-hosted AI stack with 40+ services: Transform YouTube videos & PDFs into AI podcasts (Open Notebook), local LLMs (Ollama CPU/GPU), workflow automation (n8n), AI agents (Flowise), vector databases (Qdrant), German TTS voice, and business tools. One-command Docker deployment. perfect for learning, development, and private teams.
Quick-start initialization scripts for RunPod GPU instances — ComfyUI, model downloads & environment setup
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