ComfyUI-sudo-latent-upscale

By styler00dollarView on GitHub →

Directly upscaling inside the latent space. Model was trained for SD1.5 and drawn content. Might add new architectures or update models at some point. This took heavy inspriration from [city96/SD-Latent-Upscaler](https://github.com/city96/SD-Latent-Upscaler) and [Ttl/ComfyUi_NNLatentUpscale](https://github.com/Ttl/ComfyUi_NNLatentUpscale).

How much VRAM does ComfyUI-sudo-latent-upscale require?

Direct Answer: The ComfyUI node ComfyUI-sudo-latent-upscale requires a minimum base VRAM of 3072MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

Very High (4-8GB)
Base VRAM:
3072MB (3.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✓ 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-sudo-latent-upscale?

Direct Answer: Running ComfyUI-sudo-latent-upscale requires installing the following Python package dependencies: timm, wget. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
timm
wget

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ Stable Diffusion 1.5

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Atom_AI
by AtomAI-GR12.0GB VRAM
BrushNet
by nullquant8.0GB VRAM
CAS Aspect Ratio Presets Node for ComfyUI
by budihartono12.0GB VRAM
Image Oasis
by nikodemon8012.0GB VRAM
ResolutionSelector for ComfyUI
by bradsec8.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-sudo-latent-upscale require?

ComfyUI-sudo-latent-upscale requires a minimum of 3072MB (3.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI-sudo-latent-upscale on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 7.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 11.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 18.6GB headroom

What Python packages are required for ComfyUI-sudo-latent-upscale?

To run ComfyUI-sudo-latent-upscale, you need to install: timm, wget. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-sudo-latent-upscale?

ComfyUI-sudo-latent-upscale supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI-sudo-latent-upscale in ComfyUI?

To install ComfyUI-sudo-latent-upscale: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/styler00dollar/ComfyUI-sudo-latent-upscale, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.