HY-Motion Text Encode:
The HYMotionTextEncode node is designed to transform natural language descriptions into motion-related embeddings using a dual text encoder system. This node leverages the capabilities of both CLIP and Qwen3 text encoders to process and encode textual descriptions into a format that can be utilized for motion generation tasks. By converting descriptive text into embeddings, this node facilitates the creation of motion sequences that align with the given textual input. The primary goal of this node is to enable users to input detailed natural language descriptions and receive encoded representations that can be used in various motion synthesis applications. This process is crucial for AI artists who wish to translate their creative ideas into dynamic motion outputs, making the node an essential tool in the realm of AI-driven motion design.
HY-Motion Text Encode Input Parameters:
text_encoder
The text_encoder parameter specifies the dual text encoder system used for encoding the input text. It combines the strengths of CLIP and Qwen3 encoders, which are loaded from the HYMotionTextEncoderLoader. This parameter is crucial as it determines the encoding mechanism that will be applied to the input text, affecting the quality and accuracy of the resulting motion embeddings. The parameter does not have a range of values but is a predefined encoder setup that users must utilize for the node to function correctly.
text
The text parameter is a string input that represents the natural language description of the desired motion. It is essential to provide a detailed and descriptive text to achieve the best results, as the quality of the motion embeddings is directly influenced by the richness of the input description. The default value is "A person is walking forward.", and it supports multiline input, allowing users to craft comprehensive descriptions. There are no explicit minimum or maximum values, but the text should be concise enough to convey the intended motion effectively.
HY-Motion Text Encode Output Parameters:
text_embeds
The text_embeds output parameter contains the encoded motion embeddings derived from the input text. These embeddings are a combination of visual and contextual representations generated by the dual text encoder system. The output is crucial for subsequent motion synthesis processes, as it provides a structured representation of the input text that can be used to guide the creation of motion sequences. The embeddings encapsulate the semantic meaning of the text, making them a vital component in translating textual descriptions into motion.
HY-Motion Text Encode Usage Tips:
- Ensure that your input text is as descriptive and detailed as possible to achieve high-quality motion embeddings. The more context you provide, the better the encoder can capture the nuances of the desired motion.
- Familiarize yourself with the capabilities of the CLIP and Qwen3 encoders to understand how they contribute to the encoding process. This knowledge can help you tailor your input descriptions to leverage the strengths of each encoder.
HY-Motion Text Encode Common Errors and Solutions:
Encoding prompt: '...'
- Explanation: This message indicates that the input text is being truncated for display purposes in the console. The full text is still used for encoding, so this is not an error but a notification.
- Solution: No action is needed as this is an informational message. Ensure your input text is complete and descriptive for the best results.
Cache size exceeded
- Explanation: The encoding process uses a caching mechanism to store recent computations. If the cache size exceeds its limit, older entries are removed.
- Solution: If you encounter performance issues, consider increasing the cache size in the encoder settings or optimizing your workflow to reuse cached results efficiently.