MiniMax H3 Motion Repair Plan / 动态风险重做计划 (Advanced):
The MiniMaxH3MotionRepairPlanT8Advanced node is designed to enhance the quality of motion in media by mapping motion quality audit proxy ranges into a non-destructive selective repair plan. This node is particularly beneficial for AI artists who need to ensure high-quality motion in their projects without the risk of overwriting or automatically accepting media. It provides a sophisticated approach to motion repair by leveraging advanced algorithms to identify and address areas of motion instability or degradation. The node's primary goal is to facilitate a seamless and efficient repair process that maintains the integrity of the original media while improving its motion quality.
MiniMax H3 Motion Repair Plan / 动态风险重做计划 (Advanced) Input Parameters:
timeline
The timeline parameter represents the sequence of frames or shots in the media that is being analyzed and repaired. It is crucial for defining the scope of the repair plan and ensuring that the correct segments are targeted for improvement. This parameter does not have specific minimum or maximum values, as it depends on the length and complexity of the media being processed.
audit_report_json
The audit_report_json parameter contains the results of a motion quality audit in JSON format. This report provides detailed information about the motion quality issues identified in the media, serving as the basis for the repair plan. It is essential for accurately mapping the repair actions to the identified issues.
audit_scope
The audit_scope parameter defines the extent of the audit, such as whether it covers the full timeline or specific segments. This parameter influences the comprehensiveness of the repair plan and can be adjusted based on the user's needs. Common values include "full_timeline" or specific shot indices.
single_shot_index
The single_shot_index parameter specifies a particular shot within the timeline to focus the repair efforts on. This allows for targeted repairs on specific areas of interest, enhancing the precision of the repair plan. The value should be an integer corresponding to the desired shot index.
mapping_basis
The mapping_basis parameter determines the criteria used to map the audit results to the repair plan. It influences how the repair actions are aligned with the identified issues, with options such as "suggested_repair_window" guiding the process.
repair_mode
The repair_mode parameter specifies the mode of repair to be applied, such as "auto" for automatic repairs. This parameter affects the level of user intervention required and the overall approach to repairing the motion quality issues.
prompt_addendum
The prompt_addendum parameter allows users to add specific instructions or constraints to the repair process, such as "Preserve the same identity and motion amplitude." This ensures that the repair actions align with the user's artistic vision and project requirements.
seed_stride
The seed_stride parameter is used to control the randomness in the repair process, affecting the variability of the results. A typical value might be 1009, but it can be adjusted to achieve the desired level of consistency or diversity in the repaired media.
context_before_frames
The context_before_frames parameter defines the number of frames before the target repair area to consider for context. This helps maintain continuity and coherence in the repaired media, with a common value being 22 frames.
context_after_frames
The context_after_frames parameter specifies the number of frames after the target repair area to include in the context. Similar to context_before_frames, it ensures that the repair actions are contextually appropriate, typically set to 22 frames.
MiniMax H3 Motion Repair Plan / 动态风险重做计划 (Advanced) Output Parameters:
plan
The plan output parameter is a detailed repair plan that outlines the specific actions to be taken to improve the motion quality of the media. It includes information about the selected repair segments, modes of repair, and any additional instructions or constraints.
repair_count
The repair_count output parameter indicates the number of repair actions or segments identified in the plan. This provides users with an understanding of the scope and scale of the repair process.
plan_json
The plan_json output parameter is a JSON representation of the repair plan, allowing for easy integration and further processing in other systems or tools.
mapping_json
The mapping_json output parameter provides a JSON mapping of the audit results to the repair plan, offering insights into how the identified issues are being addressed.
MiniMax H3 Motion Repair Plan / 动态风险重做计划 (Advanced) Usage Tips:
- Ensure that the
audit_report_jsonis comprehensive and accurately reflects the motion quality issues in your media to achieve the best repair results. - Adjust the
context_before_framesandcontext_after_framesparameters to maintain continuity and coherence in the repaired segments, especially for complex or dynamic scenes. - Use the
prompt_addendumto specify any artistic constraints or requirements, ensuring that the repair actions align with your creative vision.
MiniMax H3 Motion Repair Plan / 动态风险重做计划 (Advanced) Common Errors and Solutions:
"repair_plan must be a MiniMax H3 Selective Repair object"
- Explanation: This error occurs when the repair plan provided is not recognized as a valid MiniMax H3 Selective Repair object.
- Solution: Ensure that the repair plan is correctly formatted and adheres to the expected schema. Verify that the input parameters are correctly specified and that the plan is generated using the appropriate node functions.
"repair plan contains no selected segments"
- Explanation: This error indicates that the repair plan does not include any segments for repair, possibly due to an empty or incorrect audit report.
- Solution: Check the
audit_report_jsonto ensure it contains valid data and that the audit scope is correctly defined. Re-run the motion quality audit if necessary to generate a comprehensive report.