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Manages compatibility patches for Nunchaku models in ComfyUI, resolving dimension mismatches.
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.
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.
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.
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.
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.
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.
mode parameter to "enable" when working with these models. This will apply the necessary patches and prevent runtime errors related to dimension mismatches.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.mode parameter is set correctly. If you intended to apply patches, switch the mode to "enable" and try again.txt_norm, txt_in, and img_in.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.