ComfyUI-HunyuanImageLatentToVideoLatent

By philiprodriguezView on GitHub →

A ComfyUI node which copies a given latent's samples tensor along the time axis ((length - 1) // 4) + 1 times to form a longer latent (see EmptyHunyuanLatentVideo's implementation for why this specific number of copies is used) and then prepares a noise_mask tensor of the same shape such that the value of the mask for a given time step is given by the function at https://www.desmos.com/calculator/vhw74mr1vh.

How much VRAM does ComfyUI-HunyuanImageLatentToVideoLatent require?

Direct Answer: The ComfyUI node ComfyUI-HunyuanImageLatentToVideoLatent requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

Your GPU has plenty of headroom. You can run this node safely with your active configurations!

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Frequently Asked Questions

How much VRAM does ComfyUI-HunyuanImageLatentToVideoLatent require?

ComfyUI-HunyuanImageLatentToVideoLatent requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-HunyuanImageLatentToVideoLatent on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

How do I install ComfyUI-HunyuanImageLatentToVideoLatent in ComfyUI?

To install ComfyUI-HunyuanImageLatentToVideoLatent: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/philiprodriguez/ComfyUI-HunyuanImageLatentToVideoLatent, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.