CivArchive
    Zaoxiang ControlNet 2.0 High/Low Noise Rendering + SeedVR2 200-Megapixel - v1.0
    Preview 114188635

    This workflow utilizes a two-pass, high-and-low noise rendering process to balance structural control from ControlNet 2.0 with the aesthetic quality of the Z-Image model. The high-noise pass establishes the core composition and pose using ControlNet's guidance, while the subsequent low-noise pass bypasses it to refine details, color, and visual style without strict structural constraints.

    The pipeline is versatile, supporting both text-to-image and image-to-image tasks, and incorporates a face detailing stage for portrait enhancement. For final output, it offers two distinct upscaling methods: a standard diffusion-based tiled upscaler for creative detail, and the SeedVR model for a more faithful, megapixel-scale enlargement that better preserves the original character of the image.

    🎥 YouTube Video Tutorial

    Want to know what this workflow actually does and how to start fast?
    This video explains what the tool is, how to launch the workflow instantly, and shares my core design logic — no local setup, no complicated environment.
    Everything starts directly on RunningHub, so you can experience it in action first.

    👉 YouTube Tutorial:
    https://youtu.be/H7d8-6FYQv0

    Before you begin, I recommend watching the video thoroughly — getting the full context helps you understand the tool faster and avoid common detours.


    ⚙️ RunningHub Workflow

    Try the workflow online right now — no installation required.
    👉 Workflow:
    https://www.runninghub.ai/post/2000807895858020353/?inviteCode=rh-v1111

    If the results meet your expectations, you can later deploy it locally for customization.

    🎁 Fan Benefits:
    Register to get 1000 points + daily login 100 points — enjoy 4090 performance and 48 GB super power!


    📺 Bilibili Updates (Mainland China & Asia-Pacific)

    If you’re in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown.

    📺 Bilibili Video:
    https://www.bilibili.com/video/BV1d5qYBkE5B/


    Support Me on Ko-fi

    If you find my content helpful and want to support future creations, you can buy me a coffee ☕.
    Every bit of support helps me keep creating — just like a spark that can ignite a blazing flame.

    👉 Ko-fi:
    https://ko-fi.com/aiksk


    💼 Business Contact
    For collaboration or inquiries, please contact aiksk95 on WeChat.


    🎥 YouTube 视频教程

    想了解这个工作流到底是怎样的工具,以及如何快速启动?
    视频主要介绍 工具定位、启动方式 以及 整体构建逻辑
    我们会直接在 RunningHub 上进行演示,让你第一时间看到真实生成效果。

    👉 YouTube 教程:
    https://youtu.be/H7d8-6FYQv0

    建议在开始前尽量完整观看视频,这有助于你快速理解整体流程并避免常见误区。


    ⚙️ 在线体验工作流

    现在即可在线运行,无需本地安装。
    👉 工作流:
    https://www.runninghub.ai/post/2000807895858020353/?inviteCode=rh-v1111

    打开链接即可直接体验完整流程。
    如果你对效果满意,也可以后续进行本地部署与深度定制。

    🎁 粉丝福利:
    注册即送 1000 积分,每日登录额外 100 积分,畅享 4090 + 48G 显存级算力体验。


    📺 Bilibili 更新(中国大陆及南亚太地区)

    如果你位于中国大陆或南亚太地区,可以通过下方视频查看完整演示与思路解析。

    📺 B站视频:
    https://www.bilibili.com/video/BV1d5qYBkE5B/


    我会在 夸克网盘 持续更新相关模型与资源:
    https://pan.quark.cn/s/20c6f6f8d87b

    主要面向本地部署与进阶创作用户,方便学习与复现。

    Description

    Workflows
    ZImageTurbo

    Details

    Downloads
    109
    Platform
    CivitAI
    Platform Status
    Available
    Created
    12/17/2025
    Updated
    1/10/2026
    Deleted
    -

    Files

    zaoxiangControlnet20HighLow_v10.zip

    Mirrors