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    古风XL Turbo Anima008_GuFengXL_Turbo_Mix - v1.2
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    这是Anim008的第一个模型作品,欢迎使用。这是一款SDXL Turbo类的融合模型。在源模型基础上混合了写实造型训练图,速度快,国画风格强烈,尤善半小写意的工笔,造型丰富度较多。

    本意此模型制作是为了快速抽卡出图还有垫图扭画风,所以没有在细节最终出图质量上打磨,但经几个玩家群测试,经调整也有不错的画质出品,本人跑的范例图不是最佳品质,大家可以多尝试各种配置。

    附上当前两个版本的测试对比:

    https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e885a34e-c41c-4399-a02e-cf694cdf3693/width=4096/%E5%9B%BD%E9%A3%8EXL%20Turbo%E6%B5%8B%E8%AF%95_1girl_%E7%89%88%E6%9C%AC%E5%AF%B9%E6%AF%94.jpeg

    ................................................................

    关键词(没有其实也行):

    traditional chinese ink painting

    建议有效参数:

    采样器:DPM++ SDE Karras(色彩丰富,细节清晰,类似国画小写意),Euler a(速度快,墨色较重,细节稍次,更偏工笔)

    Size>768;

    Steps>7 (速度较快) >8<11 (画质较好);

    CFG Scale=1.5<3 (速度较快)<4 (画质较好);

    ................................................................

    建议搭配Lora:

    https://civarchive.com/models/190242

    Lora关键词(Style Tag About Lora):ink ;

    ................................................................

    测试数据:

    在4090显卡上生成768x1280分辨率,可在2秒左右出图。

    另外提醒,如需要增加画质,Steps加到40依然有画质提升。但务必控制CFG<4!

    ................................................................

    感谢源模型提供:

    古风大模型XL GuFengXL,

    https://civarchive.com/models/189523

    及Stability Ai的Turbo源模,

    https://huggingface.co/stabilityai/sdxl-turbo/tree/main

    好了,请一起来感受Turbo的速度吧!

    ---------------------------------------------------------------------------------

    This is Anim008 first model, welcome to use.This a SdXL Turbo Mix Model,

    ................................................................

    Trigger Words(about Model):

    traditional chinese ink painting

    Suggested useful configuration:

    ................................................................

    Sampler:

    DPM++ SDE Karras

    (Rich colors, clear details and line, similar to traditional Chinese painting freehand brushwork),

    Euler a

    (The ink color is heavier, the details are slightly inferior, but it leans more towards meticulous brushwork)

    ................................................................

    Size>768;

    Steps>7 (speed fast) >8<11 (high quality);

    CFG Scale=1.5<3 (speed fast)<4 (high quality);

    ................................................................

    Suggested adding Lora:

    https://civarchive.com/models/190242

    Trigger Words(about Lora):ink ;

    ................................................................

    About the Test Data:

    Run a resolution of 768x1280 on my 4090 graphics card, which can output 1 images in about 2 seconds.

    If you need to improve the picture quality, you can increase the Steps to 20<40, But please note that CFG must be controlled to be less than 4!

    ................................................................

    Thanks the source model for providing:

    GuFengXL

    https://civarchive.com/models/189523

    And Thanks the Turbo source model From Great Stability Ai,

    https://huggingface.co/stabilityai/sdxl-turbo/tree/main

    So, Let 's Enjoy Turbo Speed!

    Description

    古风XL Turbo升级v1.2版,主要提升了造型准确度,画质,

    升级对比测试图:

    https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e885a34e-c41c-4399-a02e-cf694cdf3693/width=4096/%E5%9B%BD%E9%A3%8EXL%20Turbo%E6%B5%8B%E8%AF%95_1girl_%E7%89%88%E6%9C%AC%E5%AF%B9%E6%AF%94.jpeg

    ................................................................

    关键词(没有其实也行):

    traditional chinese ink painting

    建议有效参数:

    采样器:DPM++ SDE Karras(色彩丰富,细节清晰,类似国画小写意),

    Euler a(墨色较重,细节稍次,更偏工笔),

    Size>768;

    Steps>7;

    CFG Scale=1.5<3;

    ................................................................

    建议搭配Lora:

    https://civitai.com/models/190242

    Lora关键词(Style Tag About Lora):ink ;

    ................................................................

    测试数据:

    在4090显卡上生成768x1280分辨率,可在2秒左右出图。

    另外提醒,如需要增加画质,Steps加到40依然有画质提升。但务必控制CFG<3!

    ................................................................

    感谢源模型提供:

    古风大模型XL GuFengXL,

    https://civitai.com/models/189523

    及Stability Ai的Turbo源模,

    https://huggingface.co/stabilityai/sdxl-turbo/tree/main

    好了,请一起来感受Turbo的速度吧!

    ---------------------------------------------------------------------------------

    This is Anim008 first model, welcome to use.This a SdXL Turbo Mix Model,

    ................................................................

    Trigger Words(about Model):

    traditional chinese ink painting

    Suggested useful configuration:

    ................................................................

    Sampler:

    DPM++ SDE Karras

    (Rich colors, clear details and line, similar to traditional Chinese painting freehand brushwork),

    Euler a

    (The ink color is heavier, the details are slightly inferior, but it leans more towards meticulous brushwork)

    ................................................................

    Size>768;

    Steps>7;

    CFG Scale=1.5<3;

    ................................................................

    Suggested adding Lora:

    https://civitai.com/models/190242

    Trigger Words(about Lora):ink ;

    ................................................................

    About the Test Data:

    Run a resolution of 768x1280 on my 4090 graphics card, which can output 1 images in about 2 seconds.

    If you need to improve the picture quality, you can increase the Steps to 20<40, But please note that CFG must be controlled to be less than 3!

    ................................................................

    Thanks the source model for providing:

    GuFengXL

    https://civitai.com/models/189523

    And Thanks the Turbo source model From Great Stability Ai,

    https://huggingface.co/stabilityai/sdxl-turbo/tree/main

    So, Let 's Enjoy Turbo Speed!

    Checkpoint
    SDXL Turbo

    Details

    Downloads
    2,117
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    12/9/2023
    Updated
    10/16/2025
    Deleted
    10/16/2025

    Files

    XLTurboAnima008_v12.safetensors

    Mirrors

    Huggingface (1 mirrors)