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Image Generation and Upscaling Workflow ComfyUI 예시

This workflow generates and processes images using a series of neural network models. It begins with the generation of a latent image representation, decodes it to the pixel space, applies an upscale transformation to enhance image resolution, and finally saves the processed images. Textual descriptions are used to guide the image generation with specific themes and quality expectations, while certain images are upscaled for better visual quality. The process also includes re-encoding the upscaled image back into the latent space and scaling the image to a specified size. The workflow relies on models such as VAE (Variational Autoencoder) and ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks), and saves the images in a defined format.

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Image Generation and Upscaling Workflow
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This workflow generates and processes images using a series of neural network models. It begins with the generation of a latent image representation, decodes it to the pixel space, applies an upscale transformation to enhance image resolution, and finally saves the processed images. Textual descriptions are used to guide the image generation with specific themes and quality expectations, while certain images are upscaled for better visual quality. The process also includes re-encoding the upscaled image back into the latent space and scaling the image to a specified size. The workflow relies on models such as VAE (Variational Autoencoder) and ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks), and saves the images in a defined format.
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