ComfyUI Node: HunyuanVideoEmbeddingsAdapter

HunyuanVideoEmbeddingsAdapter:

The HunyuanVideoEmbeddingsAdapter is a specialized node designed to adapt video embeddings for use in multi-GPU environments. Its primary function is to process and transform video embedding data, making it suitable for conditioning in complex AI models. This node is particularly beneficial for scenarios where video data needs to be integrated into AI workflows, as it efficiently handles the conversion of raw embedding data into a structured format that can be utilized by other components in the system. By managing the adaptation of embeddings, it ensures that the video data is optimally conditioned for further processing, enhancing the overall performance and accuracy of AI models that rely on video inputs.

HunyuanVideoEmbeddingsAdapter Input Parameters:

hyvid_embeds

The hyvid_embeds parameter is a required input that represents the video embeddings to be adapted. This parameter is crucial as it contains the raw embedding data that the node will process. The embeddings include various components such as prompt_embeds, prompt_embeds_2, and attention_mask, which are essential for the node to generate the appropriate conditioning output. The parameter does not have specific minimum, maximum, or default values, as it is expected to be a structured data input containing the necessary embedding information.

HunyuanVideoEmbeddingsAdapter Output Parameters:

CONDITIONING

The CONDITIONING output is the result of the adaptation process performed by the node. It consists of a tuple containing the conditioned embeddings and a dictionary of pooled outputs. This output is significant as it provides the transformed video embeddings in a format that can be directly used by other AI components for further processing. The conditioning output includes elements such as pooled_output, cross_attn, and attention_mask, which are essential for ensuring that the video data is accurately represented and ready for integration into AI models.

HunyuanVideoEmbeddingsAdapter Usage Tips:

• Ensure that the hyvid_embeds input is correctly structured and contains all necessary components like prompt_embeds and attention_mask to avoid processing errors.
• Utilize the CONDITIONING output to feed into subsequent nodes or models that require video data, ensuring seamless integration and improved model performance.

HunyuanVideoEmbeddingsAdapter Common Errors and Solutions:

Missing prompt_embeds in hyvid_embeds

• Explanation: This error occurs when the hyvid_embeds input does not contain the required prompt_embeds data.
• Solution: Verify that the hyvid_embeds input is correctly populated with all necessary embedding components before passing it to the node.

Invalid attention_mask format

• Explanation: The attention_mask within hyvid_embeds is not in the expected format, leading to processing issues.
• Solution: Ensure that the attention_mask is correctly formatted and matches the expected structure required by the node.

cfg value is None

• Explanation: The cfg value in hyvid_embeds is None, which may lead to incomplete conditioning output.
• Solution: Provide a valid cfg value in the hyvid_embeds input to ensure complete and accurate conditioning results.