Visit ComfyUI Online for ready-to-use ComfyUI environment
Enhances video model conditioning by adjusting frame rates for precise synchronization and control.
The LTXVConditioning
node is designed to enhance video model conditioning by allowing you to adjust the frame rate of both positive and negative conditioning inputs. This node is particularly useful in scenarios where you need to synchronize or modify the temporal aspects of video data for AI models. By providing a mechanism to set the frame rate, it ensures that the conditioning data aligns with the desired video playback speed, which can be crucial for maintaining the integrity and quality of video-based AI outputs. The node's primary function is to append frame rate information to the conditioning data, thereby facilitating more precise control over video model conditioning processes.
The positive
parameter represents the conditioning data that is intended to have a positive influence on the video model's output. This input is crucial for guiding the model towards desired outcomes by providing favorable conditioning cues. It is of type CONDITIONING
, which means it is structured data used to influence the model's behavior.
The negative
parameter is the counterpart to the positive
input, representing conditioning data that should have a negative influence on the model's output. This input helps in steering the model away from undesired outcomes by providing unfavorable conditioning cues. Like the positive
parameter, it is also of type CONDITIONING
.
The frame_rate
parameter allows you to specify the desired frame rate for the conditioning data. This is a floating-point value with a default of 25.0, a minimum of 0.0, and a maximum of 1000.0, with increments of 0.01. Adjusting the frame rate can impact how the conditioning data is interpreted over time, making it a critical parameter for synchronizing the conditioning with the video model's temporal dynamics.
The positive
output is the modified version of the input positive
conditioning data, now appended with the specified frame rate. This output is essential for ensuring that the positive conditioning aligns with the desired temporal characteristics of the video model.
The negative
output is the modified version of the input negative
conditioning data, also appended with the specified frame rate. This output ensures that the negative conditioning is synchronized with the video model's temporal requirements, helping to maintain the intended influence on the model's output.
frame_rate
parameter is set to match the frame rate of your video data to maintain synchronization and avoid temporal discrepancies in the model's output.positive
and negative
parameters to fine-tune the model's behavior by providing clear and distinct conditioning cues that align with your desired outcomes.frame_rate
parameter is set within the specified range and adjust it accordingly.positive
or negative
conditioning input is not provided.positive
and negative
conditioning inputs are supplied to the node to ensure proper functionality.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.