comfy-cozy is an open-source AI co-pilot package designed for VFX artists working with ComfyUI. It provides 133 MCP tools, supports six swappable LLM providers (including OpenAI-compatible endpoints), and features artist recipes, safety gates, reversible edits, EXR-aware vision, and workflow provenance. Ideal for automating and enhancing VFX workflows.
In the Other AI space, comfy-cozy takes a focused approach. It focuses on enabling VFX artists to automate and enhance workflows in ComfyUI with AI-powered tools and multi-provider LLM integration. comfy-cozy is an open-source project aimed at VFX artists and developers using ComfyUI. comfy-cozy is open source under the MIT license. It ships for the command line and API, and it can be self-hosted.
Joseph O Ibrahim builds and maintains comfy-cozy, and it first shipped in 2026. Development happens publicly on GitHub with 22 stars and 268 commits in the last 90 days. Key capabilities include MCP tools, LLM provider switching, and artist recipes. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
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