StableZero123_Conditioning_Batched - ComfyUI Built-in Node Documentation

Complete documentation for the StableZero123_Conditioning_Batched node in ComfyUI. Learn its inputs, outputs, parameters and usage.

The StableZero123_Conditioning_Batched node processes an input image and generates conditioning data for 3D model generation. It encodes the image using CLIP vision and VAE models, then creates camera embeddings based on elevation and azimuth angles to produce positive and negative conditioning along with latent representations for batch processing.

Inputs

Parameter	Description	Data Type	Required	Range
clip_vision	The CLIP vision model used for encoding the input image	CLIP_VISION	Yes	-
init_image	The initial input image to be processed and encoded	IMAGE	Yes	-
vae	The VAE model used for encoding image pixels into latent space	VAE	Yes	-
width	The output width for the processed image (default: 256, must be divisible by 8)	INT	No	16 to MAX_RESOLUTION
height	The output height for the processed image (default: 256, must be divisible by 8)	INT	No	16 to MAX_RESOLUTION
batch_size	The number of conditioning samples to generate in the batch (default: 1)	INT	No	1 to 4096
elevation	The initial camera elevation angle in degrees (default: 0.0)	FLOAT	No	-180.0 to 180.0
azimuth	The initial camera azimuth angle in degrees (default: 0.0)	FLOAT	No	-180.0 to 180.0
elevation_batch_increment	The amount to increment elevation for each batch item (default: 0.0)	FLOAT	No	-180.0 to 180.0
azimuth_batch_increment	The amount to increment azimuth for each batch item (default: 0.0)	FLOAT	No	-180.0 to 180.0

Note: The width and height parameters must be divisible by 8 as the node internally divides these dimensions by 8 for latent space generation.

Outputs

Output Name	Description	Data Type
positive	The positive conditioning data containing image embeddings and camera parameters	CONDITIONING
negative	The negative conditioning data with zero-initialized embeddings	CONDITIONING
latent	The latent representation of the processed image with batch indexing information	LATENT

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

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