ComfyUI Node: Translator 🐑

Translator 🐑| Translator 🐑:

The Translator| Translator 🐑 node is designed to facilitate seamless text translation using advanced language models. It leverages a language model service to translate text from one language to another, making it an invaluable tool for AI artists who need to work with multilingual content. This node is particularly beneficial for those looking to expand their creative projects across different languages, ensuring that language barriers do not hinder artistic expression. By utilizing a specified language model, the node provides accurate and contextually relevant translations, enhancing the accessibility and reach of your work.

Translator 🐑| Translator 🐑 Input Parameters:

llm_service_config

This parameter is crucial as it configures the language model service used for translation. It includes details such as the API URL, the model to be used, and the API token for authentication. The correct configuration of this parameter ensures that the node can successfully communicate with the language model service to perform translations.

text

The text parameter is the content you wish to translate. It accepts a string input, which can be multiline, allowing for the translation of longer texts or paragraphs. The quality and context of the translation heavily depend on the input text provided.

target_language

This parameter specifies the language into which the text should be translated. It offers a selection of languages, including Chinese (zh), English (en), Spanish (es), French (fr), German (de), Japanese (ja), Korean (ko), Russian (ru), Italian (it), and Portuguese (pt). The default language is set to Chinese (zh). Choosing the correct target language is essential for obtaining the desired translation output.

Translator 🐑| Translator 🐑 Output Parameters:

translated_text

The translated_text output parameter provides the translated version of the input text. It returns a string that represents the content in the specified target language. This output is crucial for users who need to integrate translated content into their projects, ensuring that the message is conveyed accurately in the desired language.

Translator 🐑| Translator 🐑 Usage Tips:

• Ensure that the llm_service_config is correctly set up with a valid API token and model to avoid authentication issues.
• When translating longer texts, consider breaking them into smaller sections to maintain context and improve translation accuracy.
• Experiment with different language models if available to find the one that best suits your translation needs.

Translator 🐑| Translator 🐑 Common Errors and Solutions:

Request failed with status code <code>: <response.text>

• Explanation: This error occurs when the request to the language model service fails, possibly due to incorrect API configuration or network issues.
• Solution: Verify that the llm_service_config parameters, such as the API URL and token, are correct. Check your network connection and try again.

Unexpected response format: missing 'content'.

• Explanation: This error indicates that the response from the language model service does not contain the expected translation content.
• Solution: Ensure that the language model service is functioning correctly and that the input text is valid. If the issue persists, contact the service provider for support.