Stablezero123Conditioning - ComfyUI Built-in Node Documentation

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

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.

Inputs

Parameter	Description	Comfy dtype
clip_vision	Processes visual data to align with the model’s requirements, enhancing the model’s understanding of visual context.	CLIP_VISION
init_image	Serves as the initial image input for the model, setting the baseline for further image-based operations.	IMAGE
vae	Integrates variational autoencoder outputs, facilitating the model’s ability to generate or modify images.	VAE
width	Specifies the width of the output image, allowing for dynamic resizing according to model needs.	INT
height	Determines the height of the output image, enabling customization of the output dimensions.	INT
batch_size	Controls the number of images processed in a single batch, optimizing computational efficiency.	INT
elevation	Adjusts the elevation angle for 3D model rendering, enhancing the model’s spatial understanding.	FLOAT
azimuth	Modifies the azimuth angle for 3D model visualization, improving the model’s perception of orientation.	FLOAT

Outputs

Parameter	Description	Data Type
positive	Generates positive conditioning vectors, aiding in the model’s positive feature reinforcement.	CONDITIONING
negative	Produces negative conditioning vectors, assisting in the model’s avoidance of certain features.	CONDITIONING
latent	Creates latent representations, facilitating deeper model insights into the data.	LATENT

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