ComfyUI > Nodes > ComfyUI-EulerDiscreteScheduler > Nunchaku Qwen Patches

ComfyUI Node: Nunchaku Qwen Patches

Class Name

NunchakuQwenPatches

Category
utils
Author
erosDiffusion (Account age: 544days)
Extension
ComfyUI-EulerDiscreteScheduler
Latest Updated
2025-12-11
Github Stars
0.22K

How to Install ComfyUI-EulerDiscreteScheduler

Install this extension via the ComfyUI Manager by searching for ComfyUI-EulerDiscreteScheduler
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-EulerDiscreteScheduler in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

Nunchaku Qwen Patches Description

Manages compatibility patches for Nunchaku models in ComfyUI, resolving dimension mismatches.

Nunchaku Qwen Patches:

The NunchakuQwenPatches node is designed to manage compatibility patches for Nunchaku models within the ComfyUI framework. Its primary purpose is to apply or remove monkey patches that address compatibility issues, particularly those related to dimension mismatches in Nunchaku diffusion models. By enabling these patches, the node ensures that the models function correctly without encountering errors related to tensor shapes. This node is particularly useful for AI artists and developers who work with Nunchaku models, as it simplifies the process of maintaining model compatibility and stability, allowing for a smoother workflow and reducing the likelihood of runtime errors.

Nunchaku Qwen Patches Input Parameters:

mode

The mode parameter determines whether the Nunchaku compatibility patches should be applied or removed. It accepts two options: "enable" and "disable". When set to "enable", the node applies the necessary patches to ensure compatibility with Nunchaku models. Conversely, setting it to "disable" removes these patches, restoring the original state of the models. The default value is "enable", which is recommended for users who frequently work with Nunchaku models to prevent compatibility issues.

model

The model parameter is optional and represents the specific model to which the patches will be applied or removed. This parameter allows users to specify a particular model instance, ensuring that the patches are only applied to the intended model. If not provided, the node will apply or remove patches based on the global settings.

image

The image parameter is also optional and is used to specify an image associated with the model. This parameter can be useful when working with models that require image inputs or outputs, ensuring that the patches are applied in a context that includes both model and image data.

Nunchaku Qwen Patches Output Parameters:

model

The model output parameter returns the model instance after the patches have been applied or removed. This output is crucial for verifying that the model is in the desired state, either patched for compatibility or restored to its original configuration. It allows users to continue their workflow with confidence that the model is functioning correctly.

image

The image output parameter returns the image associated with the model, if provided. This output ensures that any image data used in conjunction with the model is preserved and can be used in subsequent processing steps. It is particularly important for workflows that involve both model and image data, maintaining consistency and continuity.

Nunchaku Qwen Patches Usage Tips:

  • To ensure compatibility with Nunchaku models, always set the mode parameter to "enable" when working with these models. This will apply the necessary patches and prevent runtime errors related to dimension mismatches.
  • If you encounter issues with a specific model, use the model parameter to target that model directly. This allows for more precise control over which models receive the patches, reducing the risk of unintended modifications.

Nunchaku Qwen Patches Common Errors and Solutions:

[Nunchaku Compat] Patches already applied

  • Explanation: This message indicates that the patches have already been applied to the model, and no further action is needed.
  • Solution: No action is required. You can proceed with your workflow, knowing that the model is already patched for compatibility.

[Nunchaku Compat] Patches not applied, nothing to remove

  • Explanation: This message appears when attempting to remove patches that have not been applied.
  • Solution: Ensure that the mode parameter is set correctly. If you intended to apply patches, switch the mode to "enable" and try again.

[Nunchaku Compat] Error applying patches

  • Explanation: An error occurred while attempting to apply the patches, possibly due to an unexpected model configuration.
  • Solution: Check the model's attributes to ensure it meets the criteria for patching. Verify that the model has the necessary components, such as txt_norm, txt_in, and img_in.

[Nunchaku Compat] Error removing patches

  • Explanation: An error occurred while attempting to remove the patches, possibly due to a missing original state.
  • Solution: Ensure that the patches were applied before attempting to remove them. If the error persists, review the model's state and confirm that it is compatible with the patch removal process.

Nunchaku Qwen Patches Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-EulerDiscreteScheduler
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.