ComfyUI-MagicDance

By bombax-xiaoiceView on GitHub →

ComfyUI supports over [a/Boese0601/MagicDance](https://github.com/Boese0601/MagicDance).

How much VRAM does ComfyUI-MagicDance require?

Direct Answer: The ComfyUI node ComfyUI-MagicDance 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!

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What Python packages are required for ComfyUI-MagicDance?

Direct Answer: Running ComfyUI-MagicDance requires installing the following Python package dependencies: absl-py, aiohttp, aiosignal, antlr4-python3-runtime, async-timeout, attrs, beautifulsoup4, cachetools, clip, cmake, cycler, decord, diffusers, einops, einops-exts, entmax, filelock, fonttools, frozenlist, fsspec, ftfy, gdown, google-auth, google-auth-oauthlib, grpcio, huggingface-hub, imageio, imageio-ffmpeg, importlib-metadata, kiwisolver, kornia, langdetect, lightning-utilities, lit, markdown, markupsafe, matplotlib, multidict, mypy-extensions, networkx, ninja, oauthlib, omegaconf, open-clip-torch, opencv-python, packaging, ply, protobuf, pyasn1, pyasn1-modules, pyparsing, pyre-extensions, python-dateutil, pytorch-lightning, pywavelets, pyyaml, regex, requests-oauthlib, rotary-embedding-torch, rsa, safetensors, scikit-image, scipy, sentencepiece, six, soupsieve, tensorboard, tensorboard-data-server, tensorboard-plugin-wit, thriftpy2, tifffile, timm, tokenizers, torchdiffeq, torchmetrics, tqdm, transformers, triton, typing-inspect, wcwidth, werkzeug, xformers, yarl, zipp. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
absl-py
aiohttp
aiosignal
antlr4-python3-runtime
async-timeout
attrs
beautifulsoup4
cachetools
clip
cmake
cycler
decord
diffusers
einops
einops-exts
entmax
filelock
fonttools
frozenlist
fsspec
ftfy
gdown
google-auth
google-auth-oauthlib
grpcio
huggingface-hub
imageio
imageio-ffmpeg
importlib-metadata
kiwisolver
kornia
langdetect
lightning-utilities
lit
markdown
markupsafe
matplotlib
multidict
mypy-extensions
networkx
ninja
oauthlib
omegaconf
open-clip-torch
opencv-python
packaging
ply
protobuf
pyasn1
pyasn1-modules
pyparsing
pyre-extensions
python-dateutil
pytorch-lightning
pywavelets
pyyaml
regex
requests-oauthlib
rotary-embedding-torch
rsa
safetensors
scikit-image
scipy
sentencepiece
six
soupsieve
tensorboard
tensorboard-data-server
tensorboard-plugin-wit
thriftpy2
tifffile
timm
tokenizers
torchdiffeq
torchmetrics
tqdm
transformers
triton
typing-inspect
wcwidth
werkzeug
xformers
yarl
zipp

Interactive Setup & Dependency Resolver

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

Frequently Asked Questions

How much VRAM does ComfyUI-MagicDance require?

ComfyUI-MagicDance 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 ComfyUI-MagicDance 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

What PyTorch version does ComfyUI-MagicDance need?

ComfyUI-MagicDance requires the following PyTorch-related packages: open-clip-torch, pytorch-lightning, rotary-embedding-torch, torchdiffeq, torchmetrics. 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-MagicDance?

To run ComfyUI-MagicDance, you need to install: absl-py, aiohttp, aiosignal, antlr4-python3-runtime, async-timeout, attrs, beautifulsoup4, cachetools, clip, cmake, cycler, decord, diffusers, einops, einops-exts, entmax, filelock, fonttools, frozenlist, fsspec, ftfy, gdown, google-auth, google-auth-oauthlib, grpcio, huggingface-hub, imageio, imageio-ffmpeg, importlib-metadata, kiwisolver, kornia, langdetect, lightning-utilities, lit, markdown, markupsafe, matplotlib, multidict, mypy-extensions, networkx, ninja, oauthlib, omegaconf, open-clip-torch, opencv-python, packaging, ply, protobuf, pyasn1, pyasn1-modules, pyparsing, pyre-extensions, python-dateutil, pytorch-lightning, pywavelets, pyyaml, regex, requests-oauthlib, rotary-embedding-torch, rsa, safetensors, scikit-image, scipy, sentencepiece, six, soupsieve, tensorboard, tensorboard-data-server, tensorboard-plugin-wit, thriftpy2, tifffile, timm, tokenizers, torchdiffeq, torchmetrics, tqdm, transformers, triton, typing-inspect, wcwidth, werkzeug, xformers, yarl, zipp. You can install these using pip or add them to your requirements.txt file.

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

ComfyUI-MagicDance 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-MagicDance in ComfyUI?

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