Anima DAVE (Diversity)

By sorryhyunView on GitHub →

DAVE (DC Attenuation for diVersity Enhancement) as a drop-in MODEL patch for Anima / Cosmos-predict2 DiT: recover same-prompt sample diversity by attenuating the DC component of early-mid blocks over the first tau fraction of steps. Self-contained — bundles the shipped block-pool mask, pulls no training-repo code.

How much VRAM does Anima DAVE (Diversity) require?

Direct Answer: The ComfyUI node Anima DAVE (Diversity) requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 Anima DAVE (Diversity)?

Direct Answer: Running Anima DAVE (Diversity) requires installing the following Python package dependencies: numpy, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
torch

Interactive Setup & Dependency Resolver

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

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Frequently Asked Questions

How much VRAM does Anima DAVE (Diversity) require?

Anima DAVE (Diversity) requires a minimum of 256MB (0.3GB) 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 Anima DAVE (Diversity) on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does Anima DAVE (Diversity) need?

Anima DAVE (Diversity) requires the following PyTorch-related packages: torch. 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 Anima DAVE (Diversity)?

To run Anima DAVE (Diversity), you need to install: numpy, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Anima DAVE (Diversity)?

Anima DAVE (Diversity) 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 Anima DAVE (Diversity) in ComfyUI?

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