ComfyUI Node: FramePack Text Encode (Enhanced)

FramePack Text Encode (Enhanced):

The FramePackTimestampedTextEncode node is designed to encode text prompts with optional timestamps for timed conditioning in video processing. This node allows you to specify when certain prompts should be applied during a video, using a simple timestamp format. By using this node, you can create dynamic and time-sensitive text-based conditioning for your video content, enhancing the creative possibilities and control over the visual output. The node automatically handles gaps between specified timestamps by filling them with the preceding prompt, ensuring a seamless transition throughout the video. It also aligns timestamps to internal section boundaries based on a specified latent window size, providing a structured and efficient way to manage prompt timing. This functionality is particularly beneficial for AI artists looking to create complex, time-based visual narratives or effects in their video projects.

FramePack Text Encode (Enhanced) Input Parameters:

clip

The clip parameter represents the model or tool used for encoding the text prompts. It is essential for processing the text into a format that can be used for conditioning the video. This parameter does not have specific minimum, maximum, or default values as it depends on the model being used.

text

The text parameter is the main input for the text prompts you wish to encode. It can include timestamps in the format [Xs: prompt] or [Xs-Ys: prompt], where X and Y are times in seconds. This allows you to specify when each prompt should be applied during the video. There are no specific constraints on the text content, but it should be formatted correctly to ensure proper encoding.

negative_text

The negative_text parameter allows you to specify text prompts that should be avoided or minimized in the video. This can be useful for guiding the model away from certain concepts or styles. Like the text parameter, it does not have specific constraints but should be formatted correctly for effective encoding.

total_second_length

The total_second_length parameter defines the overall duration of the video in seconds. This is crucial for calculating the timing of each prompt and ensuring they are applied at the correct moments. There are no specific minimum or maximum values, but it should match the actual length of the video being processed.

latent_window_size

The latent_window_size parameter specifies the size of the processing window used by the sampler. This affects how timestamps are aligned to internal section boundaries, influencing the precision and smoothness of prompt transitions. There are no specific constraints, but it should be chosen based on the desired level of detail and performance.

prompt_blend_sections

The prompt_blend_sections parameter determines the number of sections over which prompts are smoothly blended when they change. A higher value results in a longer, more gradual transition, which can be useful for creating smoother visual effects. There are no specific constraints, but it should be set according to the desired blending effect.

FramePack Text Encode (Enhanced) Output Parameters:

timed_data

The timed_data output is a dictionary containing the encoded text prompts and their associated timing information. It includes the timed conditioning sections, total video duration, latent window size, and prompt blend sections. This output is crucial for applying the encoded prompts to the video at the correct times, ensuring the desired visual effects are achieved.

negative

The negative output provides the encoded negative text prompts, which are used to guide the model away from certain concepts or styles. This output is important for refining the video's content and ensuring it aligns with the desired artistic vision.

FramePack Text Encode (Enhanced) Usage Tips:

• Ensure your text prompts are correctly formatted with timestamps to achieve precise timing in your video.
• Adjust the latent_window_size and prompt_blend_sections parameters to fine-tune the smoothness and precision of prompt transitions.
• Use the negative_text parameter to steer the model away from unwanted concepts, enhancing the quality of your video output.

FramePack Text Encode (Enhanced) Common Errors and Solutions:

FramePack Text Encode (Enhanced): Warning - No valid timed sections found. Creating a default empty section.

• Explanation: This warning occurs when no valid timed sections are found in the input text prompts.
• Solution: Ensure your text prompts are correctly formatted with timestamps and that they cover the desired time range of the video.

FramePack Text Encode (Enhanced): Error - Cannot create empty negative conditioning, no positive prompts found and fallback failed.

• Explanation: This error indicates that the node could not create negative conditioning because no positive prompts were found, and the fallback mechanism failed.
• Solution: Verify that your input text includes valid positive prompts and that they are correctly formatted. If necessary, provide a default prompt to ensure the node can generate conditioning.