Wan22FirstLastFrameToVideoLatent for ComfyUI
This is a custom node for ComfyUI that can be used to generate videos from either a starting frame, an end frame or both; with the Wan2.2 5B model (which uses the new Wan2.2 VAE, unlike Wan 2.2 A14B model wich uses the old Wan2.1 VAE).
Quick Technical Summary: Wan22FirstLastFrameToVideoLatent for ComfyUI
- Base VRAM Footprint:
- 4096 MB (8 GB Tier)
- Primary Dependencies:
- None (Pure Python/Torch)
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/stduhpf/ComfyUI--Wan22FirstLastFrameToVideoLatent
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does Wan22FirstLastFrameToVideoLatent for ComfyUI require?
Direct Answer: The ComfyUI node Wan22FirstLastFrameToVideoLatent for ComfyUI 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
Cheapest VRAM Upgrade Paths (Live Market Prices):
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)──► Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)──► New: $303.50View Amazon ↗
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for Wan22FirstLastFrameToVideoLatent for ComfyUI:
Buy NVIDIA GeForce RTX 3060 (12GB VRAM)
Tired of renting cloud rigs? Run ComfyUI locally with absolute zero latency. Best entry-level ComfyUI experience. Avoids immediate VRAM limitations on basic LoRA training.
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Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does Wan22FirstLastFrameToVideoLatent for ComfyUI require?
Wan22FirstLastFrameToVideoLatent for ComfyUI 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 Wan22FirstLastFrameToVideoLatent for ComfyUI 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 much VRAM does Wan22FirstLastFrameToVideoLatent for ComfyUI take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), Wan22FirstLastFrameToVideoLatent for ComfyUI runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
How do I install Wan22FirstLastFrameToVideoLatent for ComfyUI in ComfyUI?
To install Wan22FirstLastFrameToVideoLatent for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/stduhpf/ComfyUI--Wan22FirstLastFrameToVideoLatent, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.