CIVITAI / Workflows

Z-Image-ControlNet second-order Refiner + Pose / Depth / Line

This workflow uses the Z-Image model together with ControlNet to achieve reliable control over pose skeletons, depth information, and line-based structure. Z-Image’s fast inference makes it responsive to these conditioning signals, producing an initial output that follows the intended structure while still carrying the model’s vivid rendering style. However, ControlNet naturally reduces aesthetic richness, so the workflow incorporates a second refinement stage: the generated image is re-encoded into latent space and passed through another diffusion round. This latent-space pass restores color depth, detail, and visual cohesion more effectively than pixel-space upscaling, giving the final image a more polished look. In practice, switching to SD-Pose improves skeleton accuracy when the automatically detected pose is incomplete, and adjusting preprocessing strength lets you fine-tune how strongly the structure affects the result. Line control and depth control both behave predictably, though stylized cases may still require refinement to maintain visual appeal. LoRA models can be loaded, but ControlNet will weaken their influence, so the workflow favors simpler stylistic adjustments. Despite its early stage of development, Z-Image already shows strong potential—its image-to-image quality is striking, and the two-stage approach offers a balanced combination of structural control and aesthetic refinement. 🎥 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/7GtFnr8ixnM 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/1996508277796126722/?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-Pac