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Facilitates scheduling azimuth and elevation conditions for SV3D video model, enabling dynamic visual effects in AI-generated videos.
The SV3D_BatchSchedule
node is designed to facilitate the scheduling of azimuth and elevation conditions for the SV3D video model. This node allows you to define how these conditions change over time, ensuring that the schedule always progresses forward. By using this node, you can create intricate and dynamic visual effects in your AI-generated videos, leveraging the capabilities of the SV3D model. This node is particularly useful for artists looking to add a layer of controlled motion and perspective changes to their video outputs, enhancing the overall visual storytelling.
This parameter expects a CLIP_VISION
input, which is used to process and understand the visual content of the input images. It is essential for the node to function correctly as it provides the necessary visual context.
The init_image
parameter requires an IMAGE
input, which serves as the initial frame or starting point for the video sequence. This image is the basis upon which the azimuth and elevation conditions will be applied.
The vae
parameter expects a VAE
(Variational Autoencoder) input, which is used to encode and decode the images during the processing. This helps in maintaining the quality and consistency of the generated frames.
This parameter defines the width of the output images. It is an integer value with a default of 576, a minimum of 16, and a maximum defined by MAX_RESOLUTION
. The step size is 8, allowing for granular control over the image width.
Similar to the width parameter, the height
parameter sets the height of the output images. It also has a default value of 576, a minimum of 16, and a maximum defined by MAX_RESOLUTION
, with a step size of 8.
The batch_size
parameter determines the number of frames to be processed in each batch. It is an integer value with a default of 21, a minimum of 1, and a maximum of 4096. This parameter impacts the processing time and memory usage.
This parameter allows you to choose the interpolation method for the azimuth and elevation points. The available options are linear
, ease_in
, ease_out
, and ease_in_out
. Each method affects how smoothly the transitions between points occur.
The azimuth_points_string
parameter is a multiline string that defines the azimuth points and their corresponding values over time. The default value is "0:(0.0),\n9:(180.0),\n20:(360.0)\n". This parameter controls the horizontal rotation of the camera.
Similar to the azimuth points, the elevation_points_string
parameter is a multiline string that specifies the elevation points and their values over time. The default value is "0:(0.0),\n9:(0.0),\n20:(0.0)\n". This parameter controls the vertical rotation of the camera.
The positive
output is a CONDITIONING
type that represents the positive conditioning applied to the input image sequence. This output is used to guide the model towards generating the desired visual effects based on the specified azimuth and elevation conditions.
The negative
output is also a CONDITIONING
type, representing the negative conditioning applied to the input image sequence. This output helps in refining the generated frames by providing a counterbalance to the positive conditioning.
The latent
output is a LATENT
type that contains the latent representations of the processed frames. These latent representations are crucial for further processing and refinement in the video generation pipeline.
init_image
is of high quality and relevant to the desired video output to achieve the best results.batch_size
according to your system's capabilities to balance between processing time and memory usage.clip_vision
parameter is not of type CLIP_VISION
.clip_vision
parameter is a valid CLIP_VISION
type.init_image
parameter is not of type IMAGE
.init_image
parameter is a valid IMAGE
type.width
or height
parameters are outside the allowed range.width
and height
values to be within the specified range (16 to MAX_RESOLUTION
).batch_size
parameter is outside the allowed range.batch_size
to a value between 1 and 4096.linear
, ease_in
, ease_out
, ease_in_out
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