ComfyUI-UltraPixel

Implementation of UltraPixel on ComfyUI

VRAM Requirements

Direct Answer: The ComfyUI node ComfyUI-UltraPixel 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!

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

Python Dependencies

Direct Answer: Running ComfyUI-UltraPixel requires installing the following Python package dependencies: accelerate, einops>=0.7.0, insightface>=0.7.3, kornia>=0.7.0, matplotlib>=3.7.4, munch>=4.0.0, numpy>=1.23.5, onnx2torch>=1.5.13, onnxruntime>=1.16.3, opencv-python>=4.8.1.78, torchtools@ git+https://github.com/pabloppp/pytorch-tools, tqdm>=4.66.1, wandb>=0.16.2, warmup-scheduler@ git+https://github.com/ildoonet/pytorch-gradual-warmup-lr.git, webdataset>=0.2.79. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate
einops>=0.7.0
insightface>=0.7.3
kornia>=0.7.0
matplotlib>=3.7.4
munch>=4.0.0
numpy>=1.23.5
onnx2torch>=1.5.13
onnxruntime>=1.16.3
opencv-python>=4.8.1.78
torchtools@ git+https://github.com/pabloppp/pytorch-tools
tqdm>=4.66.1
wandb>=0.16.2
warmup-scheduler@ git+https://github.com/ildoonet/pytorch-gradual-warmup-lr.git
webdataset>=0.2.79

🛠️ Interactive Setup & Dependency Resolver

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