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Facilitates loading pre-trained models for image upscaling using LDSR technique, simplifying model selection and enhancing image resolution.
The LDSRModelLoader
node is designed to facilitate the loading of pre-trained models specifically for image upscaling tasks using the Latent Diffusion Super-Resolution (LDSR) technique. This node simplifies the process of selecting and loading the appropriate model from a list of available upscale models, ensuring that you can efficiently enhance the resolution of your images. By leveraging the LDSR method, this node helps you achieve high-quality upscaling results, making it an essential tool for AI artists looking to improve the detail and clarity of their digital artwork.
The model
parameter allows you to select the specific upscale model you wish to use from a list of available models. This list is dynamically generated from the files in the "upscale_models" directory. The default model is set to the first available model that contains 'last.ckpt' in its name, or 'last.ckpt' if no such model is found. This parameter is crucial as it determines the model that will be used for the upscaling process, directly impacting the quality and characteristics of the output image.
The UPSCALE_MODEL
output parameter provides the loaded model that will be used for the upscaling task. This output is essential as it contains the pre-trained model loaded into memory, ready to be applied to your images. The model is returned in a format that can be easily utilized by subsequent nodes in your workflow, ensuring seamless integration and efficient processing.
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