Fixing ComfyUI-KJNodes Attention Sage TypeError

Hey guys! Running into the dreaded TypeError: BaseLoaderKJ._patch_modules.<locals>.attention_sage() got an unexpected keyword argument 'transformer_options' in ComfyUI-KJNodes can be super frustrating. But don't worry, you're not alone, and we're here to break down exactly why this happens and, more importantly, how to fix it. Let's dive in and get your ComfyUI humming again!

Understanding the Issue

First off, let's get a handle on what's actually going wrong. This error pops up in ComfyUI when there's a mismatch between the arguments that a function expects and the arguments that are being passed to it. In this specific case, the attention_sage function within ComfyUI-KJNodes is receiving an argument called transformer_options, but the function isn't set up to handle it. Think of it like trying to plug a USB-C into a USB-A port – it just won't fit!

This usually happens because of version differences or updates where some functions get modified, but others don't. It's like one part of your machine is speaking a different language than another, causing a bit of a hiccup. The error message itself, TypeError: BaseLoaderKJ._patch_modules.<locals>.attention_sage() got an unexpected keyword argument 'transformer_options', is your clue that the attention_sage function is the culprit and the transformer_options argument is the unexpected guest.

Key Takeaway: The transformer_options argument is the problem. We need to either make the function accept it or stop it from being passed in the first place.

Diving Deeper into the Error Context

To really understand the error, it helps to look at the context. The error trace you often see will point to specific files and lines of code. For instance, you might see something like:

File "D:\ComfyUI\ComfyUI_windows_portable1\ComfyUI\comfy\ldm\flux\math.py", line 20, in attention
 x = optimized_attention(q, k, v, heads, skip_reshape=True, mask=mask, transformer_options=transformer_options)
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\ComfyUI\ComfyUI_windows_portable1\python_embeded\Lib\site-packages\torch\_dynamo\eval_frame.py", line 929, in _fn
 return fn(*args, **kwargs)
 ^^^^^^^^^^^^^^^^^^^
TypeError: BaseLoaderKJ._patch_modules..attention_sage() got an unexpected keyword argument 'transformer_options'

This trace tells you that the error originates in math.py within the ComfyUI directory, specifically in the attention function. It’s calling optimized_attention, which eventually leads to the attention_sage function in ComfyUI-KJNodes. The final line confirms the TypeError and points directly to the unexpected argument.

Why is this happening?

ComfyUI and its extensions like ComfyUI-KJNodes are constantly evolving. New features, optimizations, and bug fixes are rolled out regularly. Sometimes, these updates can introduce compatibility issues if different parts of the system aren't updated in sync. In this case, it’s likely that a recent change in ComfyUI or one of its dependencies is passing transformer_options, while an older version of ComfyUI-KJNodes doesn’t know what to do with it.

Step-by-Step Solution

Alright, let's get our hands dirty and fix this thing! The most direct solution, as highlighted by the user who reported the issue, involves modifying the attention_sage function in the BaseLoaderKJ class. Here’s the breakdown:

1. Locate the Problem File

You'll need to find the file where the attention_sage function is defined. Based on the error description and the user's fix, this is likely within the ComfyUI-KJNodes extension. Navigate to your ComfyUI installation directory, then into the custom_nodes folder, and look for the ComfyUI-KJNodes directory. Inside, you'll need to find the relevant Python file. It's often in a file named something like __init__.py or a module-specific file within the KJNodes structure.

2. Edit the attention_sage Function

Open the file in a text editor (VS Code, Notepad++, etc.). Now, search for the definition of the attention_sage function. You'll likely find a line that looks something like this:

def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, transformer_options=None):

The key here is the transformer_options=None part. This tells Python that the function can accept a transformer_options argument, but it doesn't have to. However, if an older version of the function doesn't include this, it will throw an error when transformer_options is passed.

3. Implement the Fix

To make the function more flexible, we'll use **kwargs to catch any unexpected keyword arguments. This is a common Python trick for handling situations where a function might receive arguments it wasn't explicitly designed for. Change the function definition to look like this:

def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False, **kwargs):

By adding **kwargs, we're telling Python to collect any extra keyword arguments into a dictionary called kwargs. The function won't directly use these arguments, but it also won't throw an error if they're passed in. It’s like having a little “junk drawer” for extra bits and pieces.

4. Save the File and Restart ComfyUI

Once you've made the change, save the file. Now, you'll need to restart ComfyUI for the changes to take effect. This ensures that the updated function definition is loaded into memory.

5. Test Your Fix

After restarting, try running the workflow that was causing the error. If all goes well, the TypeError should be gone, and your workflow should run smoothly. 🎉

Alternative Solutions and Troubleshooting

Sometimes, the direct fix might not be enough, or you might encounter other issues along the way. Here are a few alternative approaches and troubleshooting tips:

1. Update ComfyUI-KJNodes

The first thing to try is updating the ComfyUI-KJNodes extension. The issue might already be fixed in a newer version. Use the ComfyUI Manager or Git to pull the latest changes from the ComfyUI-KJNodes repository. Developers often release updates to address bugs and compatibility issues, so this is a quick and easy way to potentially resolve the problem.

To update using the ComfyUI Manager:

1. Open ComfyUI.
2. Go to the “Manager” tab.
3. Click “Update All” or find ComfyUI-KJNodes in the list and click “Update”.

To update using Git:

1. Navigate to your custom_nodes directory.
2. Open a terminal or command prompt in the ComfyUI-KJNodes directory.
3. Run git pull.

2. Check for Conflicting Extensions

In some cases, conflicts between different ComfyUI extensions can cause unexpected errors. If you have recently installed or updated other extensions, try disabling them one by one to see if the TypeError goes away. This can help you identify if a specific extension is interfering with ComfyUI-KJNodes.

3. Revert to a Previous Version

If updating doesn't solve the issue, or if it introduces new problems, you can try reverting to a previous version of ComfyUI-KJNodes. This can be a good way to get your workflows running again while you investigate the underlying issue. Use Git to checkout an older commit:

1. Navigate to your custom_nodes directory.
2. Open a terminal or command prompt in the ComfyUI-KJNodes directory.
3. Run git log to see a list of commits.
4. Find a commit before the error started occurring.
5. Run git checkout <commit-hash>, replacing <commit-hash> with the commit hash you found.

4. Clean Install

As a last resort, sometimes the best solution is to start fresh. A clean install involves removing ComfyUI-KJNodes and reinstalling it. This ensures that you have a clean copy of the extension without any corrupted files or conflicting settings.

1. Remove the ComfyUI-KJNodes directory from your custom_nodes folder.
2. Use the ComfyUI Manager or Git to reinstall the extension.

5. Seek Community Support

If you're still stuck, don't hesitate to reach out to the ComfyUI community for help. There are forums, Discord servers, and GitHub discussions where you can ask questions and get advice from other users and developers. Provide as much detail as possible about your setup, the error you're encountering, and the steps you've already tried. The more information you provide, the easier it will be for others to assist you.

Preventing Future Issues

Once you've resolved the TypeError, it's a good idea to think about how to prevent similar issues in the future. Here are a few tips:

1. Keep Your Extensions Updated

Regularly update your ComfyUI extensions to ensure you have the latest bug fixes and compatibility improvements. Use the ComfyUI Manager to keep track of updates and install them promptly.

2. Read Release Notes

When updating extensions, take a moment to read the release notes. This can give you insights into any potential compatibility issues or breaking changes. Knowing what to expect can help you avoid surprises and troubleshoot problems more effectively.

3. Test After Updates

After updating an extension, test your workflows to make sure everything is still working as expected. This can help you catch issues early before they cause major disruptions.

4. Use Virtual Environments

If you're comfortable with Python, consider using virtual environments to manage your ComfyUI dependencies. This can help you isolate your ComfyUI environment from other Python projects and prevent conflicts between different libraries.

5. Backup Your Workflows

Regularly back up your ComfyUI workflows. This can save you a lot of time and frustration if you encounter issues that require you to revert to a previous state.

Conclusion

So, there you have it! Fixing the TypeError: BaseLoaderKJ._patch_modules.<locals>.attention_sage() got an unexpected keyword argument 'transformer_options' error in ComfyUI-KJNodes might seem daunting at first, but with a clear understanding of the issue and a step-by-step approach, you can get things back on track. Remember, the key is to modify the attention_sage function to handle unexpected keyword arguments gracefully or to ensure that your extensions are up-to-date and compatible.

Happy ComfyUI-ing, and may your image generation be error-free! 😉