MiniMax H3 Apply Structured Prose (Plan v2):
The MiniMaxH3PlanV2ApplyProse node is designed to enhance the structured prose within the MiniMax H3 Plan v2 framework. Its primary function is to apply a versioned JSON object containing descriptive prose to a semantic plan, ensuring that the structural integrity of the plan remains unchanged. This node is particularly beneficial for users who need to refine and enhance their creative projects by integrating detailed and structured prose without altering the core semantic elements of their plans. By doing so, it allows for a more polished and coherent output, making it an essential tool for AI artists looking to elevate their work with precise and well-structured narrative elements.
MiniMax H3 Apply Structured Prose (Plan v2) Input Parameters:
plan_context
The plan_context parameter serves as the foundational element for the node's operation. It represents the compiled plan context from the MiniMax H3 Prompt Merge (Plan v2) and is crucial for ensuring that the enhancements applied by the node are consistent with the existing semantic structure. This parameter does not have specific minimum, maximum, or default values, as it is inherently tied to the user's project setup and the compiled plan context.
editable_prose
The editable_prose parameter allows users to input custom prose that they wish to integrate into their semantic plan. This parameter provides flexibility in modifying the narrative elements of the plan while maintaining the locked semantic fields. Users can input any string of prose, and the node will apply it to the plan context, ensuring that the structural facts remain unchanged. There are no predefined limits on the length or content of the prose, allowing for creative freedom.
MiniMax H3 Apply Structured Prose (Plan v2) Output Parameters:
h3_prompt
The h3_prompt output is a deterministic H3 prompt that is immediately usable and contains three or six correct sections. This output is crucial for users who need a structured and coherent prompt that aligns with their enhanced semantic plan.
rewrite_request
The rewrite_request output provides a self-contained prose-only enhancement request with semantic fields locked. This output is essential for users who need to review or further refine the enhancements applied to their plan.
plan_context
The plan_context output is the compiled plan for the structured enhancer and native adapter. It ensures that the enhancements are integrated seamlessly into the existing plan structure, maintaining consistency and coherence.
problems_report
The problems_report output offers insights into the readiness, mode, inventory, native routes, timing, and locked fields of the plan. This output is valuable for users who need to assess the overall status and integrity of their enhanced plan.
h3_length
The h3_length output indicates the length of the H3 prompt, which is typically the same native 17k+5 target length produced by the Project Setup. This output helps users ensure that their enhanced plan meets the expected length requirements.
MiniMax H3 Apply Structured Prose (Plan v2) Usage Tips:
- Ensure that your
plan_contextis accurately compiled from the MiniMax H3 Prompt Merge (Plan v2) to maintain consistency in your enhancements. - Utilize the
editable_proseparameter to creatively enhance your semantic plan while keeping the core structure intact.
MiniMax H3 Apply Structured Prose (Plan v2) Common Errors and Solutions:
"This plan contains reference audio. Connect the MiniMax H3 audio VAE to Apply Reference Plan.audio_vae."
- Explanation: This error occurs when the plan requires reference audio, but the audio VAE is not connected.
- Solution: Connect the MiniMax H3 audio VAE to the
Apply Reference Plan.audio_vaeinput to resolve this issue.
"Invalid plan_context provided."
- Explanation: This error indicates that the
plan_contextinput is not correctly compiled or is incompatible with the node's requirements. - Solution: Verify that the
plan_contextis correctly compiled from the MiniMax H3 Prompt Merge (Plan v2) and ensure it aligns with the node's expectations.
