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Image Generation and Upscaling Workflow
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This workflow utilizes a series of nodes for loading models, encoding text, sampling latent space, and image upscaling to generate and enhance images based on textual descriptions. Specifically, the workflow takes text inputs, processes them through text encoding and applies conditioning through various nodes to the model. The KSampler node uses the conditioned model to generate latent images. Finally, the images are upscaled using an upscale model, decoded with VAE, and saved. The process accommodates several iterations of sampling and upscaling to increase image sizes progressively.
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