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Handle and process text prompts for AI models using CLIP technology to generate encoded representations for art generation tasks.
The Prompts
node is designed to handle and process text prompts for AI models, particularly those utilizing CLIP (Contrastive Language-Image Pre-Training) technology. This node allows you to input both positive and negative text prompts, which are then tokenized and encoded using a CLIP model if provided. The primary purpose of this node is to generate encoded representations of the text prompts, which can be used in various AI art generation tasks to influence the output based on the given textual descriptions. By leveraging the capabilities of CLIP, the Prompts
node ensures that the text prompts are effectively translated into a format that the AI model can understand and utilize, enhancing the quality and relevance of the generated art.
The Positive
parameter is a text input that represents the positive prompt you want to provide to the AI model. This prompt should describe the desired characteristics or elements you want to see in the generated output. For example, you might input "a beautiful sunset over the ocean" to guide the AI towards creating an image with those features. There are no strict minimum or maximum values for this parameter, but it should be a coherent and descriptive text.
The Negative
parameter is a text input that represents the negative prompt, which describes the elements or characteristics you want to avoid in the generated output. For instance, you might input "no people" if you want to ensure that the generated image does not include any human figures. Similar to the Positive
parameter, there are no strict minimum or maximum values, but the text should be clear and descriptive.
The clip
parameter is an optional input that accepts a CLIP model instance. If provided, the node will use this model to tokenize and encode the positive and negative prompts. The CLIP model helps in converting the text prompts into encoded representations that the AI model can use. If this parameter is not provided, the node will return the raw text prompts without encoding.
The Encoded Positive Prompt
is the output that contains the encoded representation of the positive text prompt. This encoded data is generated using the provided CLIP model and includes both the tokenized text and the pooled output, which can be used by the AI model to influence the generated art based on the positive prompt.
The Encoded Negative Prompt
is the output that contains the encoded representation of the negative text prompt. Similar to the positive prompt, this encoded data is generated using the provided CLIP model and includes both the tokenized text and the pooled output, helping the AI model to avoid the characteristics described in the negative prompt.
The clip
output is the same CLIP model instance that was provided as an input. This is returned to maintain consistency and allow for further use in subsequent nodes or processes.
The Positive
output is the raw positive text prompt that was provided as an input. This is returned for reference or further processing if needed.
The Negative
output is the raw negative text prompt that was provided as an input. This is returned for reference or further processing if needed.
clip
parameter to provide a CLIP model instance for encoding the prompts, as this will enhance the model's understanding and utilization of the text prompts.class_type
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for each node in your prompt is correct and that the corresponding node class is available in the system.<output_id>
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