Add Lighting - 2511 Single Image Editing (Anti-Drift)

This workflow is the “Add Light & Shadow” LoRA version of the Qwen-Image-Edit-2511 anti-drift single-image edit pipeline. It loads the Qwen CLIP/vision encoder, the 2511 BF16 UNet, and the Qwen VAE, then stacks two model-only LoRAs: first the 2511 Lightning 4-step LoRA for fast, stable sampling, and then your “Add light and shadow to the image” LoRA to强化 the relighting effect. The positive prompt is literally set to “Add light and shadow to the image”, so you can drop this LoRA into any 2511 workflow and trigger the look with a simple phrase.

The “anti-drift” part comes from using ReferenceLatent: the pipeline VAE-encodes the (scaled) input image into latent space, then injects that latent back into both positive and negative conditioning so the sampler keeps the original composition locked while it adds stronger lighting/shadow cues. It samples with Lightning-style settings (the note recommends 4 steps / CFG 1.0 when Lightning is enabled), then decodes with VAE (regular or tiled decode) and includes an A/B image comparer to check the before/after lighting change.

🎥 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/K33Vs_x7Tuo

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/2005600933931352066/?inviteCode=rh-v1111

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

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📺 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/BV1DgvWBiEMG/

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🎥 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，让你第一时间看到实际效果。

👉 YouTube 教程： https://youtu.be/K33Vs_x7Tuo

开始前建议尽量完整地观看视频 —— 把握整体思路会更快上手，也能少走常见弯路。

⚙️ 在线体验工作流

现在就可以在线体验，无需安装。

👉 工作流： https://www.runninghub.ai/post/2005600933931352066/?inviteCode=rh-v1111

打开上方链接即可直接运行该工作流，实时查看生成效果。

如果觉得效果理想，你也可以在本地进行自定义部署。

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📺 Bilibili 更新（中国大陆及南亚太地区）

如果你在中国大陆或南亚太地区，可以通过下方视频查看该工作流的实测效果与构思讲解。

📺 B站视频： https://www.bilibili.com/video/BV1DgvWBiEMG/

我会在 夸克网盘 持续更新模型资源： 👉 https://pan.quark.cn/s/20c6f6f8d87b 这些资源主要面向本地用户，方便进行创作与学习。