ComfyUI-DragNUWA

By chaojieView on GitHub →

Nodes: Download the weights of DragNUWA [a/drag_nuwa_svd.pth](https://drive.google.com/file/d/1Z4JOley0SJCb35kFF4PCc6N6P1ftfX4i/view) and put it to ComfyUI/models/checkpoints/drag_nuwa_svd.pth [w/Due to changes in the torch package and versions of many other packages, it may disrupt your installation environment.]

How much VRAM does ComfyUI-DragNUWA require?

Direct Answer: The ComfyUI node ComfyUI-DragNUWA 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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🚀 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-DragNUWA?

Direct Answer: Running ComfyUI-DragNUWA requires installing the following Python package dependencies: black==23.7.0, chardet==5.1.0, clip@ git+https://github.com/openai/CLIP.git, colorlog, configobj, deepdish, einops>=0.6.1, einops, fairscale>=0.4.13, fire>=0.5.0, fsspec>=2023.6.0, h5py, imageio, invisible-watermark>=0.2.0, json_lines, kornia==0.6.9, matplotlib>=3.7.2, moviepy, msgpack, natsort>=8.4.0, ninja>=1.11.1, numpy>=1.24.4, omegaconf>=2.3.0, open-clip-torch>=2.20.0, opencv-python==4.6.0.66, pandas>=2.0.3, pandas, pillow>=9.5.0, psutil, pudb>=2022.1.3, pytorch-lightning==2.1.0, pyyaml>=6.0.1, pyyaml, scipy>=1.10.1, streamlit>=0.73.1, tensorboard, tensorboardx==2.6, timm>=0.9.2, tokenizers>=0.12.1, torchdata>=0.6.1, torchmetrics>=1.0.1, tqdm>=4.65.0, urllib3<1.27,>=1.25.4, wandb>=0.15.6, webdataset>=0.2.33, wheel>=0.41.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
black==23.7.0
chardet==5.1.0
clip@ git+https://github.com/openai/CLIP.git
colorlog
configobj
deepdish
einops>=0.6.1
einops
fairscale>=0.4.13
fire>=0.5.0
fsspec>=2023.6.0
h5py
imageio
invisible-watermark>=0.2.0
json_lines
kornia==0.6.9
matplotlib>=3.7.2
moviepy
msgpack
natsort>=8.4.0
ninja>=1.11.1
numpy>=1.24.4
omegaconf>=2.3.0
open-clip-torch>=2.20.0
opencv-python==4.6.0.66
pandas>=2.0.3
pandas
pillow>=9.5.0
psutil
pudb>=2022.1.3
pytorch-lightning==2.1.0
pyyaml>=6.0.1
pyyaml
scipy>=1.10.1
streamlit>=0.73.1
tensorboard
tensorboardx==2.6
timm>=0.9.2
tokenizers>=0.12.1
torchdata>=0.6.1
torchmetrics>=1.0.1
tqdm>=4.65.0
urllib3<1.27,>=1.25.4
wandb>=0.15.6
webdataset>=0.2.33
wheel>=0.41.0

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:

ComfyUI-LaVIT
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ComfyUI-MotionCtrl
by chaojie4.0GB VRAM
ComfyUI-MotionCtrl-SVD
by chaojie4.0GB VRAM
AnimateDiff Evolved
by Kosinkadink4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-DragNUWA require?

ComfyUI-DragNUWA 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 ComfyUI-DragNUWA 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 ComfyUI-DragNUWA need?

ComfyUI-DragNUWA requires the following PyTorch-related packages: open-clip-torch>=2.20.0, pytorch-lightning==2.1.0, torchdata>=0.6.1, torchmetrics>=1.0.1. 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-DragNUWA?

To run ComfyUI-DragNUWA, you need to install: black==23.7.0, chardet==5.1.0, clip@ git+https://github.com/openai/CLIP.git, colorlog, configobj, deepdish, einops>=0.6.1, einops, fairscale>=0.4.13, fire>=0.5.0, fsspec>=2023.6.0, h5py, imageio, invisible-watermark>=0.2.0, json_lines, kornia==0.6.9, matplotlib>=3.7.2, moviepy, msgpack, natsort>=8.4.0, ninja>=1.11.1, numpy>=1.24.4, omegaconf>=2.3.0, open-clip-torch>=2.20.0, opencv-python==4.6.0.66, pandas>=2.0.3, pandas, pillow>=9.5.0, psutil, pudb>=2022.1.3, pytorch-lightning==2.1.0, pyyaml>=6.0.1, pyyaml, scipy>=1.10.1, streamlit>=0.73.1, tensorboard, tensorboardx==2.6, timm>=0.9.2, tokenizers>=0.12.1, torchdata>=0.6.1, torchmetrics>=1.0.1, tqdm>=4.65.0, urllib3<1.27,>=1.25.4, wandb>=0.15.6, webdataset>=0.2.33, wheel>=0.41.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-DragNUWA?

ComfyUI-DragNUWA 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-DragNUWA in ComfyUI?

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