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  1. Core Nodes
  2. Conditioning
  3. 3d-models

Stable Zero 123 Conditioning

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Last updated 5 months ago

Documentation

  • 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.

Input types

Parameter
Comfy dtype
Description

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.

Output types

Parameter
Comfy dtype
Description

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.