ComfyUI Node: ADMD_SaveLora

ADMD_SaveLora:

The ADMD_SaveLora node is designed to facilitate the saving of LoRA (Low-Rank Adaptation) models within the AD Motion Director pipeline. This node is essential for preserving the trained weights of both spatial and temporal LoRA models, ensuring that the intricate details of your AI-generated animations are retained and can be reused or further refined. By leveraging this node, you can efficiently manage and store the LoRA weights in a format that is compatible with various AI animation tools, thus enhancing the flexibility and scalability of your animation projects. The primary goal of this node is to streamline the process of saving LoRA models, making it easier for you to maintain high-quality, consistent results in your AI-driven animations.

ADMD_SaveLora Input Parameters:

admd_pipeline

This parameter represents the pipeline used in the AD Motion Director, which includes various stages and components necessary for generating and validating animations. It is crucial for ensuring that the correct pipeline configuration is used when saving the LoRA weights.

lora_info

This parameter contains detailed information about the LoRA model to be saved, including paths for spatial and temporal LoRA weights, the name of the LoRA, and its rank. This information is vital for correctly identifying and storing the LoRA weights in the appropriate format and location.

ADMD_SaveLora Output Parameters:

final_temporal_lora_name

This output parameter provides the file path of the saved temporal LoRA model. It is essential for verifying that the LoRA weights have been successfully saved and for locating the saved model for future use or further training.

admd_pipeline

This output parameter returns the updated AD Motion Director pipeline, which includes any modifications or updates made during the saving process. It ensures that the pipeline remains consistent and up-to-date with the latest changes.

ADMD_SaveLora Usage Tips:

• Ensure that the admd_pipeline parameter is correctly configured and includes all necessary components before saving the LoRA weights.
• Verify that the lora_info parameter contains accurate and complete information about the LoRA model to avoid errors during the saving process.
• Use the final_temporal_lora_name output to confirm the successful saving of the LoRA model and to locate the saved file for future use.

ADMD_SaveLora Common Errors and Solutions:

"Motion lora not found at {full_lora_path}"

• Explanation: This error occurs when the specified LoRA file path does not exist.
• Solution: Ensure that the lora_info parameter contains the correct file paths for the spatial and temporal LoRA models. Verify that the files exist at the specified locations.

"Failed to save LoRA weights"

• Explanation: This error indicates a problem during the saving process, possibly due to incorrect parameters or insufficient permissions.
• Solution: Check the admd_pipeline and lora_info parameters for accuracy. Ensure that you have the necessary permissions to write to the specified save paths.