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Facilitates seamless text translation for AI art projects, providing accurate and efficient translations.
The DeepTranslatorTextNode is designed to facilitate seamless text translation within your AI art projects. This node leverages advanced translation services to convert text from one language to another, ensuring that language barriers do not hinder your creative process. By integrating this node, you can easily translate text inputs and receive both the translated text and its corresponding encoded representation, which can be used for further processing or conditioning in your AI models. The primary goal of this node is to provide accurate and efficient translations, enhancing the accessibility and versatility of your AI-generated art.
This parameter specifies the source language of the text you want to translate. It is crucial for the translation service to know the original language to accurately convert it to the target language. The value should be a valid language code (e.g., "en" for English, "fr" for French). If left empty, the service may attempt to auto-detect the language.
This parameter defines the target language to which the text should be translated. Similar to from_translate
, it should be a valid language code. The accuracy and relevance of the translation depend on correctly specifying this parameter.
This boolean parameter indicates whether to use proxy settings for the translation service. If set to True
, the node will utilize the provided proxy settings to route the translation requests, which can be useful for bypassing regional restrictions or enhancing privacy.
This parameter contains the proxy settings to be used if add_proxies
is set to True
. It should include the necessary details such as proxy server address and port. Proper configuration of this parameter ensures that the translation requests are correctly routed through the specified proxy.
This parameter holds the authentication data required by the translation service. It may include API keys or other credentials necessary to access the service. Providing accurate authentication data is essential for the successful execution of the translation process.
This parameter specifies the translation service to be used. Different services may offer varying levels of accuracy, speed, and language support. Selecting the appropriate service based on your needs can significantly impact the quality of the translation.
This is the actual text that you want to translate. It should be a string containing the content to be translated. The quality and context of the translation are directly influenced by the input text provided.
This parameter refers to the CLIP (Contrastive Language-Image Pre-Training) model used for encoding the translated text. The CLIP model tokenizes and encodes the text, providing a representation that can be used for further processing in AI models.
This output parameter provides user interface-related information, including the detected language of the input text. It helps in understanding the source language and verifying the accuracy of the translation process.
This parameter contains the main output of the node, which includes the encoded representation of the translated text and the translated text itself. The encoded representation can be used for conditioning in AI models, while the translated text can be utilized directly in your projects.
from_translate
and to_translate
to achieve the best translation results.add_proxies
and configure the proxies
parameter correctly.auth_data
is up-to-date and correctly formatted to avoid authentication issues with the translation service.service
parameter to find the one that best meets your accuracy and speed requirements.from_translate
or to_translate
is not recognized.auth_data
provided is incorrect or expired.proxies
parameter.service
parameter is not supported or incorrectly specified.© Copyright 2024 RunComfy. All Rights Reserved.