ComfyUI-Ruyi

By IamCreateAIView on GitHub →

ComfyUI wrapper nodes for Ruyi, an image-to-video model by CreateAI.

How much VRAM does ComfyUI-Ruyi require?

Direct Answer: The ComfyUI node ComfyUI-Ruyi requires a minimum base VRAM of 4096MB and is optimized for GPUs with at least 8GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not 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-Ruyi?

Direct Answer: Running ComfyUI-Ruyi requires installing the following Python package dependencies: accelerate>=0.26.0, albumentations, beautifulsoup4, datasets, decord, diffusers>=0.28.2, einops, ftfy, func_timeout, huggingface_hub, imageio, imageio, numpy, omegaconf, opencv-python, pillow, safetensors, scikit-image, sentencepiece, tensorboard, timm, tomesd, torch, torchdiffeq, torchsde, transformers>=4.37.2. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
accelerate>=0.26.0
albumentations
beautifulsoup4
datasets
decord
diffusers>=0.28.2
einops
ftfy
func_timeout
huggingface_hub
imageio
imageio
numpy
omegaconf
opencv-python
pillow
safetensors
scikit-image
sentencepiece
tensorboard
timm
tomesd
torch
torchdiffeq
torchsde
transformers>=4.37.2

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:

AAA Metadata System
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Animatediff MotionLoRA Trainer
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Arc2Face ComfyUI Node Library
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Arthemy Live Tuner - SDXL
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BokehDiffusionComfyUI
by jrabek256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Ruyi require?

ComfyUI-Ruyi requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.

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

✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom

What PyTorch version does ComfyUI-Ruyi need?

ComfyUI-Ruyi requires the following PyTorch-related packages: torch, torchdiffeq, torchsde. 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-Ruyi?

To run ComfyUI-Ruyi, you need to install: accelerate>=0.26.0, albumentations, beautifulsoup4, datasets, decord, diffusers>=0.28.2, einops, ftfy, func_timeout, huggingface_hub, imageio, imageio, numpy, omegaconf, opencv-python, pillow, safetensors, scikit-image, sentencepiece, tensorboard, timm, tomesd, torch, torchdiffeq, torchsde, transformers>=4.37.2. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-Ruyi in ComfyUI?

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