Megapixel Extreme Upscale

This workflow is a “million-pixel” super upscaling pipeline built around SeedVR2 plus a tile-and-assemble stage. It first reads your image, gets its original width/height, and uses simple scaling/resizing nodes to push the image up (there are multiple ImageScaleBy / ImageResize+ steps), then computes a good tile size with TTP_Tile_image_size, splits the image into overlapping tiles with TTP_Image_Tile_Batch, and later reassembles them with TTP_Image_Assy—this is how it keeps memory stable and avoids seams when going extremely high resolution.

The actual “quality jump” happens in SeedVR2VideoUpscaler: it takes the prepared image plus the loaded SeedVR2 DiT model and SeedVR2 VAE (both explicitly loaded in the graph), then reconstructs higher-detail tiles that you finally stitch back into a single huge image, preview, and compare A/B against the original with an Image Comparer before saving. In short: resize → tile → SeedVR2 upscale → assemble → compare/save, which is why you can push to ultra-high pixel counts without your GPU exploding.

🎥 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/2005617652724891650/?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/2005617652724891650/?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。

🎁 粉丝福利： 注册即送 1000 积分，每日登录 100 积分，畅玩 4090 体验 48 G 超级性能！

📺 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。