ComfyUI Node: Prompt Sequence Interpolator

Prompt Sequence Interpolator:

The mbmPromptSequenceInterpolator is a specialized node designed to enhance the creative process by interpolating additional prompts from a given sequence. This node is particularly useful in the context of music visualization, where it can generate smooth transitions between different visual prompts based on input parameters. By leveraging interpolation techniques, it allows for the creation of dynamic and fluid visual sequences that can be synchronized with musical elements. The node's primary function is to calculate and insert intermediary prompts between specified start and end prompts, ensuring a seamless visual flow. This capability is beneficial for artists looking to create engaging and cohesive visual narratives that evolve over time, providing a richer and more immersive experience.

Prompt Sequence Interpolator Input Parameters:

prompts

This parameter represents the sequence of prompts that you wish to interpolate. It is crucial as it forms the basis of the interpolation process, determining the start and end points between which additional prompts will be generated. The prompts are expected to be in the format of a PROMPT_SEQ, which is a structured sequence of visual or textual cues.

feat_mods

The feat_mods parameter is a one-dimensional tensor that contains feature modifiers. These modifiers influence the characteristics of the interpolated prompts, such as their intensity or style. The impact of this parameter is significant as it allows for customization of the interpolation, enabling you to tailor the visual output to specific artistic needs.

split_mode

This parameter dictates how the interpolation is performed. It offers two options: split_evenly and split_on_timecode. The split_evenly option distributes the interpolation evenly across the sequence, while split_on_timecode uses timecodes to determine the distribution, allowing for more precise control over the timing of the interpolated prompts. This flexibility is essential for aligning visual changes with specific musical beats or sections.

feat_seconds

The feat_seconds parameter is an optional float that specifies the number of seconds each item in the feat_mods represents. It has a default value of -1.0, with a range from -1.0 to 10000.0. If set to a value less than or equal to zero, the prompts will be evenly split across the feature modifiers. This parameter is particularly useful for synchronizing the visual output with the duration of musical features, ensuring that the visual changes align with the intended timing.

Prompt Sequence Interpolator Output Parameters:

PROMPTS

The PROMPTS output is a sequence of interpolated prompts generated by the node. This output is crucial as it provides the final visual sequence that can be used in music visualization projects. The interpolated prompts ensure a smooth transition between the original prompts, enhancing the overall visual experience.

CHARTS

The CHARTS output is a visual representation of the interpolation process. It provides a graphical overview of how the prompts have been interpolated, allowing you to visualize the distribution and timing of the interpolated prompts. This output is valuable for assessing the effectiveness of the interpolation and making any necessary adjustments to achieve the desired visual effect.

Prompt Sequence Interpolator Usage Tips:

• To achieve smooth transitions, ensure that the feat_mods parameter is carefully crafted to reflect the desired visual changes between prompts.
• Use the split_on_timecode option in the split_mode parameter for precise control over the timing of interpolated prompts, especially when synchronizing with specific musical elements.
• Experiment with different values for feat_seconds to find the optimal synchronization between visual changes and musical timing.

Prompt Sequence Interpolator Common Errors and Solutions:

Error: "Invalid prompt sequence format"

• Explanation: This error occurs when the input prompts parameter is not in the expected PROMPT_SEQ format.
• Solution: Ensure that the input prompts are correctly formatted as a sequence and adhere to the required structure.

Error: "Feature modifiers tensor size mismatch"

• Explanation: This error indicates that the size of the feat_mods tensor does not match the expected dimensions for the interpolation process.
• Solution: Verify that the feat_mods tensor is correctly sized and corresponds to the number of prompts and desired frames.

Error: "Unsupported split mode"

• Explanation: This error arises when an invalid option is provided for the split_mode parameter.
• Solution: Check that the split_mode parameter is set to either split_evenly or split_on_timecode, as these are the supported options.