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    RedCraft & DarkBeast workflows collection - DarkBeastZit8🟥SDA WF
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    RedCraft & DarkBeast workflows collection

    2026.1.1 VX 新规执行,请移步TG: https://t.me/+Ka2NhoUF5W1iMDRl


    Dark Beast KLEIN 9b 🟦 V2.0 BFS 03/03/2026

    DBK v2 BFS最佳换脸工作流,配套模型:
    https://civarchive.com/models/2242173?modelVersionId=2740209

    Dark Beast KLEIN 9b BFS 🟦 V2.0 LoRA Edition
    https://civarchive.com/models/964312/redcraft-dark-beast-zandklein-exported-lora-edition

    This is the next-level face-swap specialized evolution of the Dark Beast lineage, built on the lightning-fast FLUX.2 Klein 9B accelerated model from Black Forest Labs.

    Engineered with targeted optimizations for face swapping practices, it integrates BFS (Best Face Swap) technology to completely eliminate the rigid, unnatural look that plagued earlier face replacements — delivering seamless, lifelike integrations with preserved identity, expression, and lighting.

    It also fully fixes the portrait reference issue from the previous DB BlitZ versions

    Special thanks to the scheme provider: https://github.com/alisson-anjos for the powerful BFS foundation that powers this breakthrough.🟦

    The author's In-site link: https://civarchive.com/user/NRDX


    Important notes:

    This version is exclusively designed around the Klein 9B accelerated edition — no base model exists.

    Usage is identical to Black Forest Labs' official FLUX.2 Klein 9B accelerated release: ultra-low steps (e.g., 4-5), CFG=1 fixed, blazing inference speed on consumer hardware.

    In one sentence: Dark Beast's ferocious soul meets BFS (Best Face Swap) technology — more natural, and truly unstoppable! 🟦


    for more infomation about BFS (Best Face Swap) :

    https://huggingface.co/Alissonerdx

    Alternatively, it can be directly applied to the entire Klein 9b/Qwen Edit base and Fine-tune models, through LoRA Adapter parameter injection.

    面部交换测试的源-人像来自Civitai用户图像和Moody Mix肖像风格。
    Source faces for the face-swapping test originated from Civitai user images and Moody Mix portraits styles.


    The gods have returned! KOLORS base model/Hyper 8steps/SDXL refinement/IPA Plus

    众神归位!快手底模/字节加速/SDXL精修/IPA风格

    Kolors DiT大模型COMFYUI工作流-AiARTiST

    Kolors DiT(GLM)ComfyUI 放大精修工作流

    7/8日 发布Kolors-DiT开源模型+ACG6XL放大精修-文生图工作流

    7/9日 发布Kolors-DiT开源模型+ACG6XL放大精修-垫图生图工作流

    7/10日 发布Kolors-DiT开源模型-单文件模型版+LoRA加速器+ACG6XL放大精修工作流

    7/11日 支持IPA-Plus节点,单一样本垫图风格导入,模型和组件包请在网盘下载

    原生采样器支持节点作者MinusZoneAI,非常感谢!

    https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ

    单文件模型及存放路径已经上传至网盘,模型路径根据网盘路径存放

    SDXL-Hyper-8steps 蒸馏加速器LoRA\ACG6Hyper SDXL精修模型 同上

    增加 IPAdapter 模型及ComfyUI_IPAdapter_plus 组件包 存放路径 同上

    IPAdapter 开源模型:

    https://hf-mirror.com/h94/IP-Adapter

    ComfyUI_IPAdapter_plus 项目:

    https://github.com/cubiq/ComfyUI_IPAdapter_plus

    项目开源地址:

    https://huggingface.co/Kwai-Kolors/Kolors

    ComfyUI 加载器封装组件项目地址:

    https://github.com/kijai/ComfyUI-KwaiKolorsWrapper

    Kolors:用于逼真文本到图像合成的扩散模型的有效训练

    Kolors是由快手Kolors团队开发的一种基于潜在扩散的大规模文本到图像生成模型。经过数十亿对文本图像的训练,Kolors在视觉质量、复杂的语义准确性以及中文和英文字符的文本渲染方面比开源和专有模型都表现出显著优势。此外,Kolors同时支持中文和英文输入,在理解和生成中文特定内容方面表现出色。

    开源Kolors,与开源社区合作,促进大型文本到图像模型的开发。该项目的代码是在Apache-2.0许可证下开源的。我们真诚地敦促所有开发者和用户严格遵守开源许可证,避免将开源模型、代码及其衍生物用于任何可能危害国家和社会的目的,或用于任何未经安全评估和注册的服务。请注意,尽管我们在训练过程中尽了最大努力确保数据的合规性、准确性和安全性,但由于生成内容的多样性和可组合性以及影响模型的概率随机性,我们无法保证输出内容的准确性和安全性,并且模型容易产生误导。对于因使用开源模型和代码而导致模型被误导、滥用、误用或不当使用而产生的任何数据安全问题、舆论风险或风险和责任,本项目不承担任何法律责任。

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

    模型用途声明:

    1. 您不得将此模型及其衍生版本(如融合模型版本)托管于计划赚取收入或捐赠的网站/应用程序。

    2. 您不得直接售卖此模型及其衍生版本(如融合模型版本),除非您对此模型进行了足够程度的人工修改,使其在法律意义上可以被完全判定为您的个人作品。如果您违反本条,所造成的一切法律后果由您个人承担,请恕本人概不负责。

    3. 您不能使用该模型故意制作或共享非法或有害的内容传播和输出,请您遵守公序良德,将此模型用于积极正面的用途。

    Description

    Dark Beast Z8 SDA 🟥 ZIT&Refiner Workflows

    通过引用 @FOK 提出的新型 语义方向对齐(Semantic Directional Alignment, SDA)损失,本模型 merge 了 饼儿佬 训练的 LoKr 适配器,在完美保持 8 步基线模型极致锐度和快速推理速度的同时,恢复了 原始教师模型 70.2% 的组合多样性(LPIPS)

    Designed to rescue the "Diversity Collapse" problem in few-step distilled Flow Matching / Diffusion models. By applying @FOK novel Semantic Directional Alignment (SDA) Loss, this Model adapter recovers 70.2% of the original teacher model's compositional diversity (LPIPS)

    https://huggingface.co/F16/z-image-turbo-sda

    https://modelscope.cn/models/FFFFFFoo/z-image-turbo-sda

    ---

    Additional voice:

    When distilling a 50-step diffusion model (teacher) into an 8-step model (student), the student tends to take shortcuts across the manifold and collapse toward the “mean” of the distribution. As a result, even when changing the random noise seed, the generated images are almost identical (with consistent character poses and layouts). Instead of directly matching the raw velocities, we fine-tune this model using a custom four-pillar architecture grounded in physical principles.

    当将一个 50 步扩散模型(教师)蒸馏为 8 步模型(学生)时,学生模型往往会走捷径穿越流形,收敛到分布的“均值”。结果是,即使更改随机噪声种子,生成的图像也几乎完全相同(人物姿势布局一致)。SDA方案没有直接匹配原始速度,而是使用一种基于物理原理的四支柱自定义架构对该模型进行微调(通过向量导航,老司机 FOK 的这套方法就像给流扩散模型装了“方向导航+安全带+聪明开关+最后刹车”,让它既敢大胆改构图,又不牺牲照片级清晰度。)

    Through vector navigation, this approach is like equipping the flow diffusion model with "directional GPS + safety belt + smart switch + final brake," allowing it to boldly reshape compositions while preserving photo-level sharpness.

    ---

    Recommended Settings:

    CFG Scale: 1

    Steps: 8

    Sampler & Scheduler: Euler + Simple

    ---

    Key Features & Optimizations:

    Restoring Diversity in 8-Steps

    NSFW Unlock with 10% DPO color style and sharpness.

    新手司机慎用,该模型极易造成肾衰竭

    ---

    [HF repo](https://huggingface.co/GuangyuanSD/REDCraft-DarkBeast-Z-Image-TURBO)

    Workflows
    ZImageTurbo

    Details

    Downloads
    713
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/15/2026
    Updated
    3/19/2026
    Deleted
    -

    Files

    redcraftDarkbeast_darkbeastzit8SDAWF.zip