ComfyUI Node: Latent Upscale (VAE Utils)

Latent Upscale (VAE Utils):

The VAEUtils_LatentUpscale node is designed to enhance the resolution of latent representations in Variational Autoencoders (VAEs). This node is particularly useful for AI artists who want to upscale their latent space images, allowing for more detailed and higher-resolution outputs. By leveraging pre-trained models, such as the "Wan 2.1 latent upscale 2x," this node efficiently increases the size of latent samples, making it an essential tool for improving the quality of generated images. The primary goal of this node is to provide a seamless and effective way to upscale latent representations, ensuring that the resulting images maintain their quality and detail even at larger sizes.

Latent Upscale (VAE Utils) Input Parameters:

samples

The samples parameter represents the latent data that you wish to upscale. It is a required input and should be in the form of a latent representation, typically generated by a VAE. This parameter is crucial as it serves as the base data that will be enhanced in resolution by the node.

model

The model parameter specifies the pre-trained model to be used for the upscaling process. It is a required input and offers a selection from available models, such as "Wan 2.1 latent upscale 2x." This parameter determines the method and quality of the upscaling, as different models may have varying capabilities and characteristics.

Latent Upscale (VAE Utils) Output Parameters:

LATENT

The output of the VAEUtils_LatentUpscale node is a LATENT type, which is the upscaled version of the input latent samples. This output retains the original content but with enhanced resolution, making it suitable for further processing or direct use in generating high-quality images.

Latent Upscale (VAE Utils) Usage Tips:

• Ensure that the input samples are correctly formatted latent representations to achieve optimal upscaling results.
• Select the appropriate model based on your specific needs and the characteristics of the latent data to ensure the best quality upscaling.

Latent Upscale (VAE Utils) Common Errors and Solutions:

Model not found

• Explanation: This error occurs when the specified model is not available in the list of pre-trained models.
• Solution: Verify that the model name is correctly specified and that it exists in the available models list.

Invalid latent samples

• Explanation: This error arises when the input samples are not in the expected latent format.
• Solution: Ensure that the input samples are valid latent representations generated by a compatible VAE.