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AI-based Image Processing Summary ComfyUI 예시

The workflow integrates various AI models and image processing techniques to enhance, refine, and upscale images. Starting with VAE (Variational Autoencoder) model loading and image reception, faces are swapped using ReActorFaceSwap. Textual descriptions are encoded into conditioning using CLIPTextEncode, which informs the model sampling. Images are then synthesized using conditional samplers like SeargeSDXLSampler2 informed by positive and negative conditioning. ControlNets are applied for specific image adjustments along with CLIP-guided segmentation. The workflow finalizes with detail enhancement and upscaling for high-resolution output, using FaceDetailer and UltimateSDUpscale nodes. The result is a series of refined images with detailed textures and improved quality, suitable for professional use.

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AI-based Image Processing Summary
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The workflow integrates various AI models and image processing techniques to enhance, refine, and upscale images. Starting with VAE (Variational Autoencoder) model loading and image reception, faces are swapped using ReActorFaceSwap. Textual descriptions are encoded into conditioning using CLIPTextEncode, which informs the model sampling. Images are then synthesized using conditional samplers like SeargeSDXLSampler2 informed by positive and negative conditioning. ControlNets are applied for specific image adjustments along with CLIP-guided segmentation. The workflow finalizes with detail enhancement and upscaling for high-resolution output, using FaceDetailer and UltimateSDUpscale nodes. The result is a series of refined images with detailed textures and improved quality, suitable for professional use.
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