openclaw: Prompt Refiner:
The MoltbotPromptRefiner, also known as OpenClawPromptRefiner, is a sophisticated tool designed to enhance and refine prompts based on generated images and identified issues. Its primary purpose is to critique and improve the quality of prompts by addressing specific issues such as poor anatomy, lighting, or style drift. By leveraging a service-oriented architecture, it delegates the refinement process to a specialized service, ensuring robust and accurate results. This node is particularly beneficial for AI artists who wish to optimize their creative outputs by refining both positive and negative prompts, thus enhancing the overall quality and coherence of their generated images. The node's ability to handle various issues and provide detailed rationale for refinements makes it an invaluable asset for artists seeking to elevate their work.
openclaw: Prompt Refiner Input Parameters:
image
This parameter expects an image input, which serves as the basis for the prompt refinement process. The image is analyzed to identify any issues that need addressing, such as poor composition or lighting. The quality and characteristics of the image directly impact the refinement process, as the node uses this input to tailor its suggestions and improvements.
orig_positive
This is a multiline string input representing the original positive prompt associated with the image. It serves as the starting point for refinement, and the node aims to enhance this prompt by addressing any identified issues. The quality of the original positive prompt influences the effectiveness of the refinement process.
orig_negative
Similar to the orig_positive parameter, this is a multiline string input representing the original negative prompt. The node refines this prompt to mitigate any negative aspects identified in the image, contributing to a more balanced and effective prompt set.
issue
This parameter allows you to specify the type of issue identified in the image. Options include "hands_bad," "face_bad," "anatomy_off," "lighting_off," "composition_off," "style_drift," "text_artifacts," "low_detail," and "other," with "other" being the default. The selected issue guides the refinement process, ensuring that the node focuses on the most relevant aspects for improvement.
params_json
This optional multiline string parameter allows you to provide additional parameters in JSON format. It defaults to an empty JSON object "{}". These parameters can further customize the refinement process, offering more control over the node's behavior and output.
goal
This optional multiline string parameter specifies the goal of the refinement process, with a default value of "Fix the issues." It provides context for the node, helping it align its refinements with your specific objectives.
max_image_side
This optional integer parameter defines the maximum side length of the image, with a default value of 1024, a minimum of 256, and a maximum of 1536. It ensures that the image is processed within acceptable size limits, balancing performance and quality.
openclaw: Prompt Refiner Output Parameters:
refined_positive
This output is a string representing the refined positive prompt. It reflects the enhancements made by the node to address the identified issues, resulting in a more effective and coherent prompt for generating images.
refined_negative
This output is a string representing the refined negative prompt. It incorporates improvements to mitigate any negative aspects identified in the original prompt, contributing to a more balanced prompt set.
param_patch_json
This output is a string in JSON format, detailing any parameter adjustments made during the refinement process. It provides insights into the changes applied to the original parameters, offering transparency and understanding of the refinement process.
rationale
This output is a string that explains the reasoning behind the refinements. It offers valuable insights into the node's decision-making process, helping you understand the changes and their impact on the overall prompt quality.
openclaw: Prompt Refiner Usage Tips:
- Ensure that the image input is of high quality and accurately represents the issues you wish to address, as this will significantly impact the effectiveness of the refinement process.
- Utilize the issue parameter to clearly specify the type of problem you want the node to focus on, as this will guide the refinement process and yield more targeted improvements.
- Experiment with the params_json parameter to customize the refinement process further, allowing you to tailor the node's behavior to your specific needs and preferences.
openclaw: Prompt Refiner Common Errors and Solutions:
Refiner Service failed: <error_message>
- Explanation: This error occurs when the underlying service responsible for prompt refinement encounters an issue, such as a network problem or an unexpected input format.
- Solution: Check your internet connection and ensure that all input parameters are correctly formatted. If the problem persists, consult the service documentation or support for further assistance.
Error: <error_message>
- Explanation: A generic error message indicating that an unexpected issue has occurred during the refinement process.
- Solution: Review the input parameters for any inconsistencies or errors. Ensure that the image and prompt inputs are valid and correctly formatted. If necessary, refer to the node's documentation for guidance on proper usage.