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Translate and encode text prompts using CLIP model for AI art generation workflows.
The DeepTranslatorCLIPTextEncodeNode is designed to facilitate the translation of text prompts into different languages and subsequently encode these translated texts using a CLIP (Contrastive Language-Image Pre-Training) model. 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 art generation workflows. By leveraging deep translation services, this node ensures high-quality translations and seamless integration with CLIP models, enhancing the overall creative process.
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 from the supported list. The default value is auto
. Selecting the correct source language ensures accurate translation and encoding.
This parameter defines the target language into which the text will be translated. It must be chosen from the list of supported languages. The default value is en
(English). Choosing the appropriate target language is crucial for generating the desired output in the correct language.
This boolean parameter indicates whether to use proxy settings for the translation service. It can be set to True
or False
. Using proxies can help bypass regional restrictions or improve translation service access.
This parameter allows you to specify the proxy settings if add_proxies
is set to True
. It should include the necessary proxy configuration details. Proper proxy settings ensure uninterrupted access to translation services.
This parameter is used to provide authentication data required by certain translation services. It should include the necessary credentials or tokens. Providing correct authentication data is essential for accessing premium or restricted translation services.
This parameter specifies the translation service to be used. It should be set to the name of the desired service, ensuring compatibility with the node's translation capabilities. Selecting the appropriate service can impact the quality and speed of translations.
This parameter contains the text prompt to be translated and encoded. It supports multiline input and should be provided as a string. The quality and clarity of the input text directly affect the translation and encoding results.
This parameter represents the CLIP model to be used for encoding the translated text. It should be an instance of a CLIP model. The chosen CLIP model influences the encoding quality and compatibility with subsequent processing steps.
This output parameter provides the conditioning data generated by the CLIP model after encoding the translated text. It includes the encoded tokens and pooled output, which are essential for further processing in AI art generation workflows.
This output parameter returns the translated text as a string. It allows you to verify the translation and use the translated text in other parts of your workflow.
from_translate
and to_translate
parameters are set correctly to achieve accurate translations.add_proxies
and proxies
parameters if you encounter regional restrictions or need to improve access to translation services.auth_data
if the selected translation service requires authentication to avoid access issues.from_translate
and to_translate
parameters are set to valid values.auth_data
parameter and ensure that it contains the correct credentials or tokens required by the translation service.proxies
parameter and ensure that it includes the necessary configuration details for the proxy settings.text
parameter is empty or not provided.text
parameter contains the text prompt to be translated and encoded.© Copyright 2024 RunComfy. All Rights Reserved.