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Specialized node for creating prompt sequences for music visualization, including positive/negative conditioning prompts with timecodes for synchronization.
The mbmPromptSequenceBuilder
is a specialized node designed to facilitate the creation of a sequence of prompts, particularly useful in the context of music visualization. This node allows you to construct a series of prompts that can be used to guide the generation of visual content in response to musical inputs. By leveraging the capabilities of this node, you can define both positive and negative conditioning prompts, which are essential for shaping the output in a desired manner. The node is built to handle complex prompt sequences, ensuring that each prompt is associated with specific timecodes, which can be crucial for synchronizing visual elements with musical beats or changes. This functionality is particularly beneficial for artists and creators looking to produce dynamic and responsive visualizations that align with audio tracks.
This parameter represents the primary positive conditioning input, which is a list of lists containing either torch.Tensor
objects or dictionaries with torch.Tensor
values. It is used to define the positive aspects or features that should be emphasized in the generated visual content. There are no specific minimum, maximum, or default values, as it depends on the content you wish to highlight.
Similar to positive_1
, this parameter is a list of lists containing either torch.Tensor
objects or dictionaries with torch.Tensor
values. It is used to specify the negative conditioning, which helps in de-emphasizing or avoiding certain features in the output. This parameter allows you to refine the visual output by reducing unwanted elements.
This optional parameter functions like positive_1
but is used for additional positive conditioning. It allows for more complex prompt sequences by providing a secondary set of positive conditions. If not provided, the node will only use positive_1
for positive conditioning.
This optional parameter is similar to negative_1
and is used for additional negative conditioning. It provides a secondary set of negative conditions, allowing for more nuanced control over the visual output. If not provided, the node will rely solely on negative_1
for negative conditioning.
This optional parameter is a list of MbmPrompt
objects that represent a sequence of prompts. It allows you to input a pre-defined sequence of prompts, which can be used to guide the visual generation process. This parameter is useful for artists who have specific prompt sequences in mind.
The output of the node is a list of MbmPrompt
objects, which represent the constructed sequence of prompts. This output is crucial for generating visual content that is synchronized with musical inputs, as each MbmPrompt
object contains the necessary data to guide the visual generation process. The output sequence can be used in subsequent nodes or processes to create dynamic and responsive visualizations.
positive_2
and negative_2
parameters for more complex prompt sequences, especially if you need to create intricate visualizations that change over time.prompts
parameter, prepare your sequence of MbmPrompt
objects in advance to streamline the process and ensure consistency in your visual output.timecode_1
or timecode_2
) are set to a negative value.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.