Fixing ComfyUI Manager Deprecation Warnings On Mac M2

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Fixing ComfyUI Manager Deprecation Warnings on Mac M2

Introduction: What's Happening with ComfyUI Manager Warnings?

Hey there, ComfyUI enthusiasts! If you're running ComfyUI, especially on a shiny new Mac M2 system, and you've recently installed the super handy ComfyUI Manager (which, let's be real, is almost essential for managing custom nodes), you might have noticed some rather ominous-looking deprecated API warnings popping up in your terminal when you fire things up with python3 ./main.py. Don't sweat it too much, guys; you're not alone, and it's usually not a sign that your whole setup is about to crash and burn. These warnings are essentially little signals from the ComfyUI core, letting custom node developers know that certain ways of doing things are on their way out and will eventually be removed. In your case, these specific deprecation warnings are directly linked to ComfyUI Manager operating within your .../ComfyUI/custom_nodes/comfyui-manager directory. The log output you shared clearly shows a fresh installation of ComfyUI and ComfyUI Manager on a Mac Mini M2, using Python 3.13.11, and then, boom, a series of these warnings appear after the server starts. We're talking about specific calls to /scripts/ui.js, /extensions/core/groupNode.js, and components like buttonGroup.js and button.js. It's a classic scenario where the main application (ComfyUI) is evolving rapidly, and a third-party extension (ComfyUI Manager) hasn't quite caught up with the latest API standards yet. This often happens in fast-paced open-source projects, and while it can look concerning, it usually means things are still functional for now, but an update will be needed down the line. We’ll dive deep into what these warnings mean, why they appear, and what you can do about them to ensure your ComfyUI experience remains smooth and future-proof.

Diving Deeper: What Do Deprecated API Warnings Mean for ComfyUI Users?

Alright, let's unpack these deprecated API warnings a bit more, because understanding them is the first step to not panicking, guys! When an API (Application Programming Interface) is marked as deprecated, it means that while it still works for now, its use is discouraged, and it's scheduled to be removed in a future version. Think of it like a road sign saying, "Old Bridge Ahead: Use New Bridge if Possible." The old bridge (the deprecated API) is still operational, but it's not the preferred or long-term solution. For ComfyUI Manager, these warnings specifically highlight that it's importing legacy API files like /scripts/ui.js, /extensions/core/groupNode.js, and UI components such as /scripts/ui/components/buttonGroup.js and /scripts/ui/components/button.js. These are all related to how ComfyUI's user interface is constructed and how extensions interact with it. The core ComfyUI project is constantly being refined, and part of that refinement involves updating and streamlining its internal APIs. When these changes happen, custom nodes like ComfyUI Manager need to be updated by their developers to use the new, modern APIs instead of the older, deprecated ones. The good news is that deprecated APIs typically continue to function for a grace period, giving developers time to adapt. So, while you're seeing these warnings, your ComfyUI Manager is likely still performing its tasks—installing nodes, managing models, and keeping your ComfyUI setup organized. The key takeaway here is that these aren't error messages signaling a crash; they are forward-looking notifications to developers. It’s a heads-up that future versions of ComfyUI will not support these methods, and if the custom node isn't updated, it will eventually break. For us users, it means we should be aware and prepared for potential updates. The fact that you're seeing this on a fresh install just underscores that it's a known issue within the current versions of ComfyUI and ComfyUI Manager, rather than something specific to your setup going wrong.

Troubleshooting & Next Steps: How to Address ComfyUI Manager Deprecation Warnings

So, you've got these deprecated API warnings popping up for ComfyUI Manager, and you're probably wondering, "What can I actually do about this?" Well, guys, while you can't directly fix the code of the ComfyUI Manager itself (that's the developer's job!), there are some really important steps you can take to stay ahead of the curve and minimize any potential future issues. First and foremost, the most effective action is to keep everything updated. This means regularly updating both your main ComfyUI installation and ComfyUI Manager. Developers are usually very responsive to these kinds of changes, and chances are, the creator of ComfyUI Manager (ltdrdata) is already aware of these API deprecations and is working on an update. So, a good old git pull in your main ComfyUI directory and checking for updates within the ComfyUI Manager's own interface (if available, which it often is) should be your go-to strategy. These warnings specifically tell us that the custom node is using outdated APIs like /scripts/ui.js and others related to UI components. This is a clear indicator that the ComfyUI frontend has evolved, and ComfyUI Manager needs to align with those newer standards. If, after updating, the warnings persist, the next crucial step is reporting the issue. Since ComfyUI Manager is an open-source project, its developer relies on community feedback. Head over to the ComfyUI Manager GitHub repository (a quick search for ltdrdata/ComfyUI-Manager will get you there) and check the "Issues" section. Someone might have already reported it. If not, open a new issue, being sure to provide all the details you've given us: your Mac M2 system, Python version, the exact warning messages, and that it's a fresh install. This helps the developer pinpoint and resolve the problem much faster. Remember, these warnings aren't critical errors right now, but they are a strong suggestion that ComfyUI Manager needs an update to maintain compatibility with future ComfyUI versions. By staying updated and actively participating in the community by reporting bugs, you're not just helping yourself, but the entire ComfyUI ecosystem!

Understanding Your ComfyUI Environment: Mac M2, Python, and PyTorch

Let's take a moment to appreciate the powerful setup you're running, guys, because understanding your environment is key to troubleshooting and optimizing your ComfyUI experience. Your system, a Mac Mini M2, is an absolute beast for AI workloads, especially with Apple's unified memory architecture and Metal Performance Shaders (MPS). The logs confirm this, showing Total VRAM 8192 MB, total RAM 8192 MB (which, with unified memory, means it's sharing). The Device: mps entry is your golden ticket, indicating that ComfyUI is correctly leveraging your Mac's powerful GPU for computations, instead of relying solely on your CPU. This is fantastic for speed and efficiency when generating images. Furthermore, you're running on Python 3.13.11, which is a very recent version, and PyTorch 2.10.0.dev20251209. While 3.13.11 is quite cutting edge (and might sometimes introduce minor compatibility challenges with older libraries, though less common with actively maintained ones), it generally means you're benefiting from the latest Python performance enhancements. The uv package manager being used for pip operations is also a great sign; uv is known for its incredible speed, making dependency management much quicker than traditional pip. The logs also show ComfyUI version: 0.3.76 and ComfyUI frontend version: 1.33.13, along with ComfyUI-Manager V3.38.1. This tells us you have a very recent, if not the latest, version of both the core ComfyUI and the Manager. This context is crucial because it reinforces the idea that the deprecated API warnings are not due to outdated software on your part, but rather an ongoing synchronization challenge between the rapidly evolving core ComfyUI APIs and how ComfyUI Manager integrates with them. Running on macOS (Darwin) means you're operating in a highly optimized Apple environment, and seeing specific details like Set vram state to: SHARED and Using sub quadratic optimization for attention shows that ComfyUI is intelligently configuring itself for optimal performance on Apple Silicon. Knowing these details about your Mac M2, Python, and PyTorch setup not only helps diagnose issues but also gives you confidence in the robust foundation your AI artistry is built upon.

Beyond the Warnings: Maximizing Your ComfyUI Experience

Now that we've demystified those deprecated API warnings and understood your robust Mac M2 setup, let's talk about generally maximizing your ComfyUI experience, guys, because it's an incredible tool for creative exploration! While the warnings from ComfyUI Manager are a minor hiccup, they serve as a great reminder about the dynamic nature of open-source projects. To truly get the most out of ComfyUI, staying engaged with the community is paramount. Platforms like the Comfy-Org GitHub discussions, various Discord servers, and online forums are goldmines of information, support, and new ideas. You'll often find that others are encountering similar issues, and solutions or workarounds are quickly shared. Keep an eye on the release notes for both ComfyUI itself and popular custom nodes like ComfyUI Manager. These notes are where developers announce API changes, new features, and bug fixes, which can help you anticipate and understand any future warnings or changes in behavior. Experimentation is another key aspect of the ComfyUI journey. Don't be afraid to try out new custom nodes, explore different workflows, and push the boundaries of what you can create. The modular nature of ComfyUI makes it incredibly flexible, allowing you to build complex pipelines that simply aren't possible with other UIs. However, with great power comes great responsibility, so always remember to back up your workflows and critical data! A simple export of your JSON workflows can save you a lot of headaches if something goes awry. Finally, don't let a few deprecation warnings deter you. They are a normal part of software development, especially in rapidly evolving fields like AI. They indicate active development and progress, not necessarily a broken system. By understanding what they mean, keeping your software updated, and staying connected with the vibrant ComfyUI community, you'll navigate these minor bumps with ease and continue to unlock the full creative potential of your ComfyUI setup. Keep learning, keep creating, and most importantly, have fun with it!