🚀Edit& Run it online (RunningHub):

https://www.runninghub.ai/post/1864957400280166402/?utm_source=openart

RunningHub – Highly Reliable Cloud-Based ComfyUI, Edit and Run Workflows Online, no local installation required. Powered by RTX 4090 GPUs for faster performance and fully error-free node operation.

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🚀 在线编辑运行（RunningHub):

https://www.runninghub.cn/post/1864644037138411521/?utm_source=openart

【RunningHub - 超高可用性云端ComfyUI，在线编辑运行工作流，标配RTX4090带来更快运行速度，节点全不报红】

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Workflow Description

【Workflow Introduction】

Hunyuan Video Generation Model - Video to Video (V2V) ComfyUI-HunyuanVideoWrapper
ComfyUI-HunyuanVideoWrapper
Memory usage depends entirely on resolution and frame rate, so don't expect to reach a high level even on 24GB.
The good news is that the model can produce functional videos even at very low resolutions.
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Please note that the upper limit of the frame rate reading cannot be changed randomly, otherwise an error will be reported
Make sure that the final frame rate input to the sampler - 1 can divide 4. For example, 101-1=100 can divide 4

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工作流内容介绍

混元视频生成大模型-视频生视频(V2V) ComfyUI-HunyuanVideoWrapper
ComfyUI-HunyuanVideoWrapper

内存的使用完全取决于分辨率和帧数，即使在 24GB 上也不要指望能够达到很高的水平。

好消息是，即使在非常低的分辨率下，该模型也可以制作功能性视频。

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请注意 帧数读取上限不能乱改，否则会报错
要保证 最终输入给采样器的帧数-1 能整除4。比如 101-1=100 就能整除4

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