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    Published October 28, 2023by BoosterCore

    SDXL Stylized Face Swap

    1.1K views0 reactions3 comments on CivitAI7 collected
    face swapstylized characterworkflowssdxlcomfyui

    The whole workflow is based on img2img and reactor, aiming to perform stylized portrait face-swap of characters. Please refer to my Youtube channel for the specific principles:

    ComfyUI风格化换脸的再思考

    You can also find other workflows I shared in GitHUB:

    ChaosFlow

    Basic Setting:

    Soiurce Image: Throw a portrait into it

    SDXL Empty Latent Image: Set the initial sampling size

    Eff. Loader SDXL: SDXL basic setting

    LoRA Stacker: Setting LoRA as your wish

    Advanced Setting:

    Sampler For First Samplering: Obvious as the name suggests

    Sampler For Img2img Samplering: Obvious as the name suggests

    Optional Upscale Ratio: Optional upscale the image to improve the img2img quality

    Upscale Model: Upscale Model Used For Final Upscale

    Final Upscale Ratio: Ratio For Final Upscale

    Image Chromatic Aberration: Chromatic Aberration Effect For Final Image

    Global Seed: Obvious as the name suggests

    Basic Prompt:

    Positive Prompt: Nothing to say, write as you wish

    Negative Prompt: Nothing to say, write as you wish

    Styler Mixer & Fianl Prompt:

    SDXL Prompt Styler: Mix the styles by these three nodes,"none" for no style

    SDXL TUPLE:

    SDXL TUPLE: No need to do with it at all

    ControlNet Model:

    ControlNet Model: For this workflow,It is recommended to use the depth models for SDXL

    Core:

    Many Nodes:In most cases, no adjustment is necessary. In some cases, you may need to fine-tune the parameters of them

    Output:

    First Reactor With FaceRestore: Just for compare with final image

    Final Preview: Just For Preview

    Final Image Save: No need to explain


    整个流程基于img2img和reactor,旨在进行人物风格化的肖像换脸。 具体原理请参考我的Youtube频道:

    ComfyUI风格化换脸的再思考

    您也可以在GitHUB中找到我分享的其它工作流:

    ChaosFlow

    Basic Setting:

    Soiurce Image: 扔一张肖像进去

    SDXL Empty Latent Image: 设置最初的采样画幅大小

    Eff. Loader SDXL: 基本的SDXL设置

    LoRA Stacker: 按您所需设置LoRA模型

    Advanced Setting:

    Sampler For First Samplering: 如命名般显而易见

    Sampler For Img2img Samplering: 如命名般显而易见

    Optional Upscale Ratio: 可选的缩放,旨在提升img2img的画质,并非必须

    Upscale Model: 最终放大图片时所用的放大模型

    Final Upscale Ratio: 最终放大图片所用的放大比率

    Image Chromatic Aberration: 给最终图片加上色散效果

    Global Seed: 如命名般显而易见

    Basic Prompt:

    Positive Prompt: 没什么可说的,按您所需写吧

    Negative Prompt: 没什么可说的,按您所需写吧

    Styler Mixer & Fianl Prompt:

    SDXL Prompt Styler: 用这三个节点混合风格,设定为“none”,既没有风格。

    SDXL TUPLE:

    SDXL TUPLE: 不需要做任何改动

    ControlNet Model:

    ControlNet Model: 在这个工作流中,推荐使用各种SDXL的depth算法模型。

    Core:

    Many Nodes:多数情况下,不用调了吧。某些特定的情况下,您或许需要微调这些节点中的参数。

    Output:

    First Reactor With FaceRestore: 看名字应该能知道了,只是用来跟最终画面做对比用

    Final Preview: 最终画面的预览

    Final Image Save: 不用解释了

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