ComfyUI Node: Power Prompt (rgthree)

Power Prompt (rgthree):

The Power Prompt (rgthree) node is designed to enhance your AI-generated art by allowing you to input and manipulate textual prompts with advanced features. This node is particularly useful for artists who want to fine-tune their prompts to achieve specific artistic effects or styles. It provides the capability to strip and manage lora tags, which are special tags used to control various aspects of the generated art. By using this node, you can ensure that your prompts are clean and optimized, leading to more accurate and desirable outputs. The node also supports optional integration with CLIP models, enabling you to encode your prompts for more sophisticated conditioning.

Power Prompt (rgthree) Input Parameters:

prompt

This is the main textual input for the node. You can enter any string of text, and it supports multiline input, allowing you to craft detailed and complex prompts. The prompt serves as the foundation for the AI-generated art, and its content directly influences the final output.

opt_clip

This optional parameter allows you to integrate a CLIP model for encoding your prompt. By providing a CLIP model, you can enhance the conditioning of your prompt, leading to more refined and contextually accurate outputs. If not provided, the node will process the prompt without additional conditioning.

insert_embedding

This optional parameter lets you choose from a list of available embeddings to insert into your prompt. Embeddings are pre-trained vectors that can add specific styles or features to your generated art. You can select from a list of available embeddings or choose "CHOOSE" to skip this option.

insert_saved

This optional parameter allows you to insert a saved prompt from a list of previously saved prompts. This can be useful for reusing and modifying prompts that have yielded good results in the past. You can select from a list of saved prompts or choose "CHOOSE" to skip this option.

values_insert_saved

This hidden parameter contains the content of the saved prompts. It is automatically populated based on the selected saved prompt and is not intended to be manually set by the user.

Power Prompt (rgthree) Output Parameters:

CONDITIONING

This output provides the conditioning data generated by the CLIP model, if one was provided. Conditioning data is used to influence the AI model's understanding and generation of the art based on the input prompt. It helps in achieving more contextually accurate and refined outputs.

TEXT

This output returns the original or modified prompt text. This can be useful for verifying the final prompt that was used for generating the art, especially if any modifications or embeddings were applied.

Power Prompt (rgthree) Usage Tips:

• To achieve more refined and contextually accurate art, consider providing a CLIP model through the opt_clip parameter.
• Utilize the insert_embedding option to add specific styles or features to your art. Experiment with different embeddings to see their effects.
• Save your successful prompts and use the insert_saved option to quickly reuse and modify them for new projects.
• Clean your prompts by stripping unnecessary lora tags using the node's built-in functionality to ensure optimal performance.

Power Prompt (rgthree) Common Errors and Solutions:

"Skipping "<tag_path>" with strength of zero"

• Explanation: This error occurs when a lora tag with a strength of zero is found in the prompt.
• Solution: Ensure that all lora tags in your prompt have a non-zero strength value. Adjust the strength values as needed.

"Found <number> lora tags in prompt but model & clip were not supplied!"

• Explanation: This warning indicates that lora tags were found in the prompt, but no model or CLIP was provided to process them.
• Solution: Provide a CLIP model through the opt_clip parameter to process the lora tags, or remove the lora tags from the prompt if they are not needed.

"Loras not processed, keeping for TEXT output."

• Explanation: This message indicates that lora tags were found but not processed due to the absence of a model or CLIP.
• Solution: To process the lora tags, ensure that a CLIP model is provided. If processing is not required, you can ignore this message.