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Translate and encode text for CLIP models using Google Translate for AI artists working with multilingual inputs.
The GoogleTranslateCLIPTextEncodeNode
is designed to facilitate the translation of text prompts using Google Translate and subsequently encode the translated text into a format suitable for CLIP (Contrastive Language-Image Pre-Training) models. This node is particularly useful for AI artists who work with multilingual text inputs and need to ensure that their prompts are accurately translated and encoded for further processing in AI models. By leveraging Google Translate, this node can automatically detect the source language and translate it into the desired target language, making it easier to work with diverse linguistic inputs. The translated text is then tokenized and encoded using a CLIP model, providing both the conditioning data and the translated text as outputs. This process ensures that the text is not only translated but also prepared for integration with AI models that utilize CLIP for text-to-image or other multimodal tasks.
This parameter specifies the source language of the text to be translated. It can be set to "auto" for automatic language detection or any specific language code from the list of supported languages. The default value is "auto". This parameter is crucial for ensuring that the text is correctly identified and translated from the appropriate language.
This parameter defines the target language into which the text will be translated. It must be set to one of the supported language codes, with the default value being "en" (English). This parameter determines the language of the translated output, which is essential for users who need the text in a specific language.
This boolean parameter indicates whether the translation should be performed manually or automatically. If set to True
, the text will not be translated and will be used as-is. If set to False
, the text will be translated using Google Translate. The default value is False
. This parameter allows users to bypass the translation step if the text is already in the desired language.
This parameter is a string input that contains the text prompt to be translated and encoded. It supports multiline input and provides a placeholder "Input prompt" to guide users. This is the primary text that will undergo translation and encoding, making it a critical input for the node's functionality.
This parameter expects a CLIP model instance that will be used to tokenize and encode the translated text. The CLIP model is essential for converting the text into a format that can be used for conditioning in AI models. This parameter is required to ensure that the translated text is properly encoded.
This output provides the conditioning data generated by the CLIP model after encoding the translated text. It includes the encoded tokens and a pooled output, which are essential for integrating the translated text into AI models that utilize CLIP for text-to-image or other multimodal tasks.
This output returns the translated text as a string. This allows users to see the result of the translation process and use the translated text for further processing or display purposes.
from_translate
and to_translate
parameters are set correctly to achieve accurate translations.manual_translate
parameter to bypass translation if the text is already in the desired language, saving processing time.clip
parameter is properly loaded and compatible with the node to avoid encoding errors.from_translate
or to_translate
parameter is set to an unsupported language code.clip
parameter is missing or not properly set.clip
parameter to enable text encoding.text
parameter is empty or contains only whitespace.text
parameter to proceed with translation and encoding.© Copyright 2024 RunComfy. All Rights Reserved.