* [Monbooru v1.22.0](https://github.com/monbooru/monbooru) – Private, lightweight booru-style gallery for organizing local images with folder-based browsing, tag search, and local ONNX auto-tagging via companion services. * [MooshieUI v2.3.19](https://github.com/Mooshieblob1/MooshieUI) – Beginner-friendly UI for ComfyUI that runs as a Tauri desktop app or self-hosted browser interface, guiding guided workflows and simplifying node graph setup. * [NodeTool v0.8.2](https://github.com/nodetool-ai/nodetool) – Visual platform for building and deploying AI workflows, agents, and multimodal pipelines via drag-and-drop nodes. * [ReadyLLM v0.3.0](https://github.com/htobty/ReadyLLM) – Visual interface for deploying, monitoring, and tuning local LLMs, with hardware-aware parameter search and ComfyUI-based image and video generation. * [ComfyUI MiniMax H3 Director v0.3.2](https://github.com/seesee75-commits/ComfyUI-MiniMaxH3-Director) – A timeline editor for MiniMax H3 inside ComfyUI that turns storyboard tracks into compiled shot prompts with live preview, retakes, and shot chaining. * [ResolutionMaster v2.0.1](https://github.com/Azornes/Comfyui-Resolution-Master) – ComfyUI custom node for precise resolution and aspect ratio control with interactive canvas, presets, and model-specific optimizations. * [Deno Custom Nodes v0.7.118](https://github.com/Deno2026/comfyui-deno-custom-nodes) – Practical ComfyUI custom nodes and browser helpers that improve daily workflows with visual organization, floating tools, and video comparison/export utilities. * [comfyui-mcp v0.52.205](https://github.com/artokun/comfyui-mcp) – Local-first control plane for ComfyUI with an MCP server and agent that drives image, video, and audio generation, manages models and custom nodes, and edits the live graph via natural language. * [Scumble v0.1.46](https://github.com/DenRakEiw/scumble) – Desktop inpainting editor that turns image selections and prompts into editable, color-matched layers with local ComfyUI or API rendering and PSD export. * [LoRA Dataset Studio v2026.09.29](https://github.com/perfectgf/lora-dataset-studio) – Self-hosted one-tab UI that builds, curates, captions, cleans, trains, and ranks LoRA datasets and checkpoints across multiple model families locally or in the cloud.