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 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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Inputs

Outputs