CIVITAI / Workflows
Z-image ControlNet 2.1 High/Low Noise Rendering + SeedVR2 200-Megapixel
This workflow uses a two-pass, high-and-low noise process to balance Z-Image Turbo's rendering quality with the structural control of ControlNet 2.1. The initial high-noise stage uses ControlNet to lock in the core composition and pose. The second low-noise stage then bypasses ControlNet, allowing the model to refine details and textures without strict structural constraints, achieving a blend of control and aesthetic quality. Designed for flexibility, the pipeline includes switches to alternate between text-to-image and image-to-image generation, or to apply LoRAs during the refinement pass. After an optional face detailing stage, it provides two distinct upscaling methods: a creative, tiled diffusion upscaler (TTP) and the SeedVR2 model, which produces a more faithful, megapixel-scale enlargement. 🎥 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/VHBlv7DdldA 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/2001611142990577666/?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/BV1EUqHBSEv6/ ☕ 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、快速启动方法和我的构筑思路。我们会直接在 RunningHub 上进行演示

公开版本
ZImageTurbo