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Style Matching 4K Portrait Generator - AI Photography (High quality face restore after generation)

43

595

23

Type

Workflows

Stats

595

0

Reviews

Published

Jul 3, 2024

Base Model

SDXL 1.0

Hash

AutoV2
FA10B5FE79

The purpose of this workflow is to generate images that maintain the consistency of the subject's features without relying on instantID, which can affect image quality and details. By utilizing Canny to extract contour information, Depth to capture depth information, and IPAdapter to extract color, texture, and other stylistic details, images are generated. After generation, Reactor and instantID are used to refine and repair facial features.

  • best work with half body portrait

  • face embedding image must be a high resolution one **Important

  • If the final generated image of the person shows wrinkles, increase the refiner ratio in the detailer to 0.4-0.5

  • best work with multi tile diffusion upscale, (ultimateUPscale)

  • Any creativity, or control is allowed in the initial generation, as long as the final output is a person with a similar face shape.

The delayed face restore module in this workflow can accurately capture facial features without being affected by the lighting in the original photo. It can actually be used as a standalone face-swapping workflow, but it has limited effect on restoring the face shape. Therefore, it is necessary to use Canny to generate a person with a similar face shape during the initial image generation.

Overall workflow concept:
Face restore based on Reactor and InstantID:

Using Reactor to first restore the general shape of the person, then using a model pipe with style information from IPAdapter, instantID is used to inject facial details. In the detailer, the face is redrawn (denoise: 0.35), while retaining some of the facial skin details from the initial generation.

Extensions you need to install the following, referring to the GitHub pages for installation and downloading the necessary models: