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Image Generation and Upscaling Workflow ComfyUI 예시

This workflow takes descriptive text input to generate a photorealistic full-body image of one pretty girl while ensuring it does not contain text, watermarks, or anime/art/cartoon/cgi elements. It starts with text inputs for both positive and negative prompts, encodes them using the CLIPTextEncode, and then uses a given model from CheckpointLoaderSimple for image generation. An EmptyLatentImage node establishes dimensions for the base image which is then sampled using KSampler. The latent image from KSampler is passed through VAEDecode to generate a base image that is subsequently saved. Lastly, the image is upscaled using a pre-trained model from UpscaleModelLoader and ImageUpscaleWithModel, resulting in a higher resolution image that is also saved.

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Image Generation and Upscaling Workflow
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This workflow takes descriptive text input to generate a photorealistic full-body image of one pretty girl while ensuring it does not contain text, watermarks, or anime/art/cartoon/cgi elements. It starts with text inputs for both positive and negative prompts, encodes them using the CLIPTextEncode, and then uses a given model from CheckpointLoaderSimple for image generation. An EmptyLatentImage node establishes dimensions for the base image which is then sampled using KSampler. The latent image from KSampler is passed through VAEDecode to generate a base image that is subsequently saved. Lastly, the image is upscaled using a pre-trained model from UpscaleModelLoader and ImageUpscaleWithModel, resulting in a higher resolution image that is also saved.
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