I-Ching-Informed Adaptive ODE Scheduler

By eddyhhlure1EddyView on GitHub →

The ode v2 version is a creative sampler characterized by low contrast, near-realistic quality, and artistic creation. It can only be used with high noise for 6 steps, low noise for 2 steps, and a middle split step of 4 steps. It requires a unique LoRA, which is currently in training and undergoing refinement, and is only in the testing phase. This version offers multiple options for you to choose from, and my recommendation is to go with robust-smooth or even lower. Stay tuned for the official release.

How much VRAM does I-Ching-Informed Adaptive ODE Scheduler require?

Direct Answer: The ComfyUI node I-Ching-Informed Adaptive ODE Scheduler 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

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Deploy on Cloud GPUs

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

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Related Custom Nodes

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

AAA Metadata System
by EricRollei128MB VRAM
AITocha Vision
by aitocha128MB VRAM
AI_Text_Comfyui
by Zch6111256MB VRAM
AK XZ Axis (XY for any KSampler)
by akawana256MB VRAM

Frequently Asked Questions

How much VRAM does I-Ching-Informed Adaptive ODE Scheduler require?

I-Ching-Informed Adaptive ODE Scheduler 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 I-Ching-Informed Adaptive ODE Scheduler 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

How can I reduce VRAM usage when running I-Ching-Informed Adaptive ODE Scheduler?

I-Ching-Informed Adaptive ODE Scheduler 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 I-Ching-Informed Adaptive ODE Scheduler in ComfyUI?

To install I-Ching-Informed Adaptive ODE Scheduler: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/eddyhhlure1Eddy/ode-ComfyUI-WanVideoWrapper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.