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Best ComfyUI Workflow Examples
ComfyUI Workflow Summary
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This workflow involves multiple nodes for image processing and generation using machine learning models such as MMDetLoader, SAMLoader, and VAELoader for loading pre-trained models. It uses nodes like BboxDetectorForEach, SAMDetectorCombined, and Segs & Mask for detecting bounding boxes and segmenting images. Latent space manipulation is achieved with VAEEncode, VAEDecode, and KSampler, coupled with UpscaleModelLoader for image upscaling. Images are manipulated using DetailerForEach nodes, which take advantage of conditional inputs from CLIPTextEncode for enhancing details according to the specified prompts. Finally, SaveImage and PreviewImage nodes handle the saving and displaying of images. The workflow aims to produce high-quality, detailed images based on latent space sampling, conditioning, and manipulation, with provisions for upscaling, previewing, and saving the generated content.
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