HunyuanVideo 1.5 accelerated text-to-video 1080p

This workflow takes advantage of HunyuanVideo 1.5’s upgraded architecture while combining it with the Light-X2V four-step accelerated LoRA, allowing significantly faster text-to-video generation at 720p while still supporting clean upscaling to 1080p. The accelerated LoRA condenses the usual long sampling process into a much shorter path, making video generation far more efficient without fully giving up motion quality. The workflow keeps the standard Hunyuan pipeline structure—dual text encoders, diffusion model, VAE decoding, and optional latent upscaling—but removes unnecessary intermediate components so the whole process becomes more straightforward. Even though Hunyuan’s general versatility is not on the same level as Wan2.2, its training quality is still excellent, and with the speed boost from the acceleration model it becomes very suitable for rapid video production.

In practical use, the workflow behaves much like a normal text-to-video setup: write your prompt, set the resolution and frame count, and let the model handle the rest. Lower CFG values help maintain stability when acceleration is active, and step counts can be kept minimal thanks to the four-step backbone—though slightly higher steps still provide a more reliable balance between clarity and motion. The workflow includes a final 1080p enhancement stage that can be enabled when higher resolution is needed, and it preserves detail without requiring manual adjustments. While the accelerated model can sometimes reduce dynamic intensity, the overall performance gains are substantial, bringing production times for a 720p 121-frame clip down to around ten minutes instead of thirty. For fast idea iteration, quick cinematic previews, or lightweight production runs, this setup offers a smooth and efficient solution built on top of HunyuanVideo 1.5’s strengths.

🎥 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/Ac0662XPbyE

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/1993277000070660097/?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/BV1iZUDBxELi/

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👉 Ko-fi： https://ko-fi.com/aiksk

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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，让你第一时间看到实际效果。

👉 YouTube 教程： https://youtu.be/Ac0662XPbyE

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/1993277000070660097/?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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