Stable Zero 123 Conditioning
Last updated
Last updated
Class name: StableZero123_Conditioning
Category: conditioning/3d_models
Output node: False
This node is designed to process and condition data for use in StableZero123 models, focusing on preparing the input in a specific format that is compatible and optimized for these models.
clip_vision
CLIP_VISION
Processes visual data to align with the model’s requirements, enhancing the model’s understanding of visual context.
init_image
IMAGE
Serves as the initial image input for the model, setting the baseline for further image-based operations.
vae
VAE
Integrates variational autoencoder outputs, facilitating the model’s ability to generate or modify images.
width
INT
Specifies the width of the output image, allowing for dynamic resizing according to model needs.
height
INT
Determines the height of the output image, enabling customization of the output dimensions.
batch_size
INT
Controls the number of images processed in a single batch, optimizing computational efficiency.
elevation
FLOAT
Adjusts the elevation angle for 3D model rendering, enhancing the model’s spatial understanding.
azimuth
FLOAT
Modifies the azimuth angle for 3D model visualization, improving the model’s perception of orientation.
positive
CONDITIONING
Generates positive conditioning vectors, aiding in the model’s positive feature reinforcement.
negative
CONDITIONING
Produces negative conditioning vectors, assisting in the model’s avoidance of certain features.
latent
LATENT
Creates latent representations, facilitating deeper model insights into the data.