ComfyUI-EvTexture

By tocubedView on GitHub →

Wrapper for EvTexture Video Upscaler: [a/https://github.com/DachunKai/EvTexture](https://github.com/DachunKai/EvTexture)

How much VRAM does ComfyUI-EvTexture require?

Direct Answer: The ComfyUI node ComfyUI-EvTexture 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!

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What Python packages are required for ComfyUI-EvTexture?

Direct Answer: Running ComfyUI-EvTexture requires installing the following Python package dependencies: torch, torchvision>=0.9.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
torch
torchvision>=0.9.0

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

AMD Video Upscaler
by yasei-no-otoko3.0GB VRAM
Bit Depth Enhancer
by subraoul128MB VRAM
ComfyUI Bringing Old Photos Back to Life
by cdb-boop128MB VRAM
ComfyUI PixelArt Detector
by dimtoneff3.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-EvTexture require?

ComfyUI-EvTexture 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-EvTexture 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 PyTorch version does ComfyUI-EvTexture need?

ComfyUI-EvTexture requires the following PyTorch-related packages: torch, torchvision>=0.9.0. 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 ComfyUI-EvTexture?

To run ComfyUI-EvTexture, you need to install: torch, torchvision>=0.9.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-EvTexture?

ComfyUI-EvTexture 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-EvTexture in ComfyUI?

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