Universal NN Latent Upscaler for ComfyUI
A universal neural network latent upscaler that supports SD1.5, SDXL, Flux, and Wan2.2 models. Uses trained neural networks instead of simple interpolation for higher quality latent upscaling. Built upon the excellent foundation of [a/Ttl's ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale) - this project extends the original work with universal model support and improved architectures.
How much VRAM does Universal NN Latent Upscaler for ComfyUI require?
Direct Answer: The ComfyUI node Universal NN Latent Upscaler for ComfyUI requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.
- Base VRAM:
- 12288MB (12.0GB)
- Recommended GPU:
- 24GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- HIGH
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for Universal NN Latent Upscaler for ComfyUI?
Direct Answer: Running Universal NN Latent Upscaler for ComfyUI requires installing the following Python package dependencies: numpy>=1.21.0, pillow>=8.0.0, torch>=1.13.0, torchvision>=0.14.0. This node specifically requires PyTorch version 1.13.0 or newer.
numpy>=1.21.0
pillow>=8.0.0
torch>=1.13.0
torchvision>=0.14.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.13.0+.
# Loading PyTorch command...Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does Universal NN Latent Upscaler for ComfyUI require?
Universal NN Latent Upscaler for ComfyUI requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run Universal NN Latent Upscaler for ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?
❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom
What PyTorch version does Universal NN Latent Upscaler for ComfyUI need?
Universal NN Latent Upscaler for ComfyUI requires the following PyTorch-related packages: torch>=1.13.0, torchvision>=0.14.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for Universal NN Latent Upscaler for ComfyUI?
To run Universal NN Latent Upscaler for ComfyUI, you need to install: numpy>=1.21.0, pillow>=8.0.0, torch>=1.13.0, torchvision>=0.14.0. You can install these using pip or add them to your requirements.txt file.
How do I install Universal NN Latent Upscaler for ComfyUI in ComfyUI?
To install Universal NN Latent Upscaler for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/DenRakEiw/WAN_NN_Latent_Upscale, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.