ComfyUI-RTX-Remix

By NvidiaGameWorksAdminView on GitHub →

Use ComfyUI with RTX Remix to remaster classic games [a/https://github.com/NVIDIAGameWorks/rtx-remix](https://github.com/NVIDIAGameWorks/rtx-remix)

How much VRAM does ComfyUI-RTX-Remix require?

Direct Answer: The ComfyUI node ComfyUI-RTX-Remix requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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-RTX-Remix?

Direct Answer: Running ComfyUI-RTX-Remix requires installing the following Python package dependencies: huggingface-hub# OSRB filed under: https://nvbugs/5571291, numpy# OSRB filed under: https://nvbugs/4702469, openexr# OSRB filed under: https://nvbugs/5642859, pillow>=10.0.1 # OSRB filed under: https://nvbugs/4702475, pydantic==2.11.5 # OSRB filed under: https://nvbugs/3952548, requests# OSRB filed under: https://nvbugs/4702237, torch# OSRB filed under: https://nvbugs/4702252. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
huggingface-hub# OSRB filed under: https://nvbugs/5571291
numpy# OSRB filed under: https://nvbugs/4702469
openexr# OSRB filed under: https://nvbugs/5642859
pillow>=10.0.1      # OSRB filed under: https://nvbugs/4702475
pydantic==2.11.5    # OSRB filed under: https://nvbugs/3952548
requests# OSRB filed under: https://nvbugs/4702237
torch# OSRB filed under: https://nvbugs/4702252

Interactive Setup & Dependency Resolver

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

Frequently Asked Questions

How much VRAM does ComfyUI-RTX-Remix require?

ComfyUI-RTX-Remix requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does ComfyUI-RTX-Remix need?

ComfyUI-RTX-Remix requires the following PyTorch-related packages: torch# OSRB filed under: https://nvbugs/4702252. 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-RTX-Remix?

To run ComfyUI-RTX-Remix, you need to install: huggingface-hub# OSRB filed under: https://nvbugs/5571291, numpy# OSRB filed under: https://nvbugs/4702469, openexr# OSRB filed under: https://nvbugs/5642859, pillow>=10.0.1 # OSRB filed under: https://nvbugs/4702475, pydantic==2.11.5 # OSRB filed under: https://nvbugs/3952548, requests# OSRB filed under: https://nvbugs/4702237, torch# OSRB filed under: https://nvbugs/4702252. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-RTX-Remix?

ComfyUI-RTX-Remix 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-RTX-Remix in ComfyUI?

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