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Interface with StabilityAI API for image generation using sd3 and sd3-turbo models, with text-to-image mode option.
The StabilityAPI_SD3 node is designed to interface with the StabilityAI API, enabling you to generate images using StabilityAI's powerful models. This node allows you to leverage the capabilities of StabilityAI's sd3 and sd3-turbo models, which require 6.5 and 4 credits per generation, respectively. The node can operate in text-to-image mode if no image is provided, making it versatile for various creative workflows. It is recommended to set your API key in the config.json file within the node pack's folder to avoid the risk of the key being saved in image metadata, especially when using save nodes separately from this node. This node is particularly useful for AI artists looking to integrate advanced image generation capabilities into their projects seamlessly.
This parameter accepts conditioning data that positively influences the image generation process. It helps guide the model towards desired features and characteristics in the output image.
This parameter accepts conditioning data that negatively influences the image generation process. It helps guide the model away from undesired features and characteristics in the output image.
This parameter accepts a control network that can be used to further refine and control the image generation process. It allows for more precise adjustments and enhancements.
This parameter accepts a Variational Autoencoder (VAE) model, which is used to encode and decode images during the generation process. The VAE helps in producing high-quality images by learning efficient representations.
This parameter accepts an input image that can be used as a base for the generation process. If no image is provided, the node will default to text-to-image mode.
This parameter controls the strength of the conditioning applied to the image generation process. It ranges from 0.0 to 10.0, with a default value of 1.0. Higher values result in stronger conditioning effects.
This parameter defines the starting point of the conditioning effect as a percentage of the total generation process. It ranges from 0.0 to 1.0, with a default value of 0.0. It allows for gradual application of conditioning.
This parameter defines the ending point of the conditioning effect as a percentage of the total generation process. It ranges from 0.0 to 1.0, with a default value of 1.0. It allows for gradual cessation of conditioning.
The primary output of this node is the generated image, which is produced based on the provided input parameters and conditioning data. This image can be used in various creative projects and further processed as needed.
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