This MiniMax H3 workflow is a general-purpose video redraw and generative upscale pipeline. It accepts an existing video, rebuilds the frames at a larger target size, and keeps the original audio connected to the output. It is useful for improving low-resolution clips, restoring AI video details, and giving an older render a cleaner second pass.

The graph uses the Qwen3-VL 32B MiniMax H3 NVFP4 AWQ encoder, MiniMax H3 video and audio VAEs, a four-step FL2VA Turbo LoRA, SageAttention, and the MiniMax H3 native-audio-lock node. The source video can be trimmed before processing. An RTX enlargement stage prepares the target dimensions, after which MiniMax H3 image-to-video conditioning rebuilds the sequence with Euler sampling, a four-step simple schedule, and controlled denoise.

The workflow is packaged as a ready-to-run ComfyUI graph for users who want to compare generative enlargement against conventional video scaling. Keep the original source, prompt, and duration unchanged when comparing versions so that visible differences come from the workflow structure rather than from changed creative inputs.

Main features:

- General video-to-video redraw for many source formats
- Source-video trimming before generation
- Native audio lock for preserving the original soundtrack
- MiniMax H3 FL2VA four-step Turbo route
- Qwen3-VL 32B MiniMax H3 text encoder
- RTX enlargement before the generative pass
- SageAttention memory-efficient acceleration
- Four-step Euler sampling with controlled denoise

Suggested workflow:

Start with a clip shorter than 15 seconds and check that the source audio is clean. Set the output size before writing the refinement prompt. Describe the subject, texture quality, lighting, and camera behavior without changing the underlying action. If the redraw drifts too far from the source, simplify the prompt and lower the amount of new visual information requested.

RunningHub Workflow

Try the workflow online right now - no installation required.
Workflow: https://www.runninghub.ai/post/2088886438984433665?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)

Watch the workflow demonstration and creative breakdown here:
Bilibili Video: https://www.bilibili.com/video/BV1kZbQ6xEMg/

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打开下方链接即可在线体验，无需安装。
工作流：https://www.runninghub.ai/post/2088886438984433665?inviteCode=rh-v1111

如果觉得效果理想，也可以在本地进行自定义部署。

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B站视频：https://www.bilibili.com/video/BV1kZbQ6xEMg/

我会在夸克网盘持续更新模型资源：
https://pan.quark.cn/s/07bdc81784ce