Workflow Summary ComfyUI 예시
This is a complex image processing and enhancement workflow involving numerous nodes for loading models (e.g., SAMLoader, ControlNetLoader), image preprocessing (e.g., MiDaS-DepthMapPreprocessor, LineArtPreprocessor), object detection (e.g., UltralyticsDetectorProvider), and applying various filters and enhancements (e.g., FaceDetailer, DetailerForEach). The workflow includes various types of models like SAM_MODEL, CONTROL_NET, and BBOX_DETECTOR, utilizing both advanced and simplified face detailing, latent space manipulation (LatentUpscaleBy), and CLIP encoders to integrate text prompts into image generation. There are nodes dedicated to image saving based on specific naming conventions and paths, as well as reroute and concatenation nodes relating to image, latent, and conditioning channels. The end result is a highly detailed, upscaled, and refined image according to conditioned prompts and specifications provided along the workflow.
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This is a complex image processing and enhancement workflow involving numerous nodes for loading models (e.g., SAMLoader, ControlNetLoader), image preprocessing (e.g., MiDaS-DepthMapPreprocessor, LineArtPreprocessor), object detection (e.g., UltralyticsDetectorProvider), and applying various filters and enhancements (e.g., FaceDetailer, DetailerForEach). The workflow includes various types of models like SAM_MODEL, CONTROL_NET, and BBOX_DETECTOR, utilizing both advanced and simplified face detailing, latent space manipulation (LatentUpscaleBy), and CLIP encoders to integrate text prompts into image generation. There are nodes dedicated to image saving based on specific naming conventions and paths, as well as reroute and concatenation nodes relating to image, latent, and conditioning channels. The end result is a highly detailed, upscaled, and refined image according to conditioned prompts and specifications provided along the workflow.
