Face Enhancement and Detailing Workflow ComfyUI 예시
This workflow enhances and details face images by utilizing a sequence of detector, loader, and combiner nodes. It uses Ultralytics Detectors for face and hand detections, SAM Loaders for model loading, and nodes like MaskToImage and PreviewImage for converting masks to images and previewing results respectively. The ToDetailerPipeSDXL nodes configure the detailer pipeline, with inputs from models, CLIP encodings, VAEs, and conditionings. The ConditioningCombine nodes amalgamate different conditionings, and the KSampler generates the final image using the model and conditioning. The Image Blending Mode nodes adjust the blending of images, and the SaveImage node saves the final output. The process includes background removal, upsampling using UltimateSDUpscale, and processing through FaceDetailerPipe for refinement. The output is a detailed, upscaled image with enhanced facial features, ready for saving.
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Face Enhancement and Detailing Workflow
This workflow enhances and details face images by utilizing a sequence of detector, loader, and combiner nodes. It uses Ultralytics Detectors for face and hand detections, SAM Loaders for model loading, and nodes like MaskToImage and PreviewImage for converting masks to images and previewing results respectively. The ToDetailerPipeSDXL nodes configure the detailer pipeline, with inputs from models, CLIP encodings, VAEs, and conditionings. The ConditioningCombine nodes amalgamate different conditionings, and the KSampler generates the final image using the model and conditioning. The Image Blending Mode nodes adjust the blending of images, and the SaveImage node saves the final output. The process includes background removal, upsampling using UltimateSDUpscale, and processing through FaceDetailerPipe for refinement. The output is a detailed, upscaled image with enhanced facial features, ready for saving.
