ComfyUI Workflow Summary ComfyUI 예시
This workflow utilizes several interconnected nodes to achieve an upscale and enhancement of images with conditional attributes. Key steps include latent image creation, iterative upscaling using two ControlNet systems - one for pose and the other for depth conditioning - and final image decoding and saving. Additionally, a unique seed is generated for randomness control. The output is an image with specified characteristics influenced by the positive and negative prompts processed through a model, with features like realistic appearance, specific hairstyle, and freckles. The upscaled and enhanced image is then saved, and a sound is played upon completion.
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This workflow utilizes several interconnected nodes to achieve an upscale and enhancement of images with conditional attributes. Key steps include latent image creation, iterative upscaling using two ControlNet systems - one for pose and the other for depth conditioning - and final image decoding and saving. Additionally, a unique seed is generated for randomness control. The output is an image with specified characteristics influenced by the positive and negative prompts processed through a model, with features like realistic appearance, specific hairstyle, and freckles. The upscaled and enhanced image is then saved, and a sound is played upon completion.
