DeepFuze
DeepFuze is a state-of-the-art deep learning tool that seamlessly integrates with ComfyUI to revolutionize facial transformations, lipsyncing, video generation, voice cloning, face swapping, and lipsync translation. Leveraging advanced algorithms, DeepFuze enables users to combine audio and video with unparalleled realism, ensuring perfectly synchronized facial movements. This innovative solution is ideal for content creators, animators, developers, and anyone seeking to elevate their video editing projects with sophisticated AI-driven features.
VRAM Requirements
Direct Answer: The ComfyUI node DeepFuze 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.
- Base VRAM:
- 4096MB (4.0GB)
- Recommended GPU:
- 8GB+ VRAM
- Low VRAM Mode:
- ✗ Not supported
- Estimation Confidence:
- MEDIUM
🧮 Interactive VRAM Compatibility Estimator
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 Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
Python Dependencies
Direct Answer: Running DeepFuze requires installing the following Python package dependencies: accelerate, aiohttp>=3.8.1, anyascii>=0.3.0, bangla, bnnumerizer, bnunicodenormalizer, coqpit>=0.0.16, cython>=0.29.30, einops>=0.6.0, encodec>=0.1.1, filetype==1.2.0, flask>=2.0.1, fsspec>=2023.6.0 # <= 2023.9.1 makes aux tests fail, g2pkk>=0.1.1, gruut[de,es,fr]==2.2.3, hangul_romanize, imageio_ffmpeg, inflect>=5.6.0, jamo, jieba, kornia, librosa, matplotlib>=3.7.0, mutagen==1.47.0, nltk, num2words, numba>=0.57.0, numpy==1.26.4, onnx==1.16.0, onnxruntime-gpu, openai, opencv-python==4.9.0.80, opencv-python-headless==4.8.0.76, packaging>=23.1, pandas>=1.4,<2.0, psutil==5.9.8, pydub, pypinyin, pysbd>=0.3.4, pyyaml>=6.0, scikit-learn>=1.3.0, scipy==1.13.0, sounddevice, soundfile>=0.12.0, spacy>=3, spandrel, torch>=2.1, torchaudio, torchsde, tqdm>=4.64.1, trainer>=0.0.36, transformers>=4.33.0, umap-learn>=0.5.1, unidecode>=1.3.2. This node specifically requires PyTorch version 2.1 or newer.
accelerate
aiohttp>=3.8.1
anyascii>=0.3.0
bangla
bnnumerizer
bnunicodenormalizer
coqpit>=0.0.16
cython>=0.29.30
einops>=0.6.0
encodec>=0.1.1
filetype==1.2.0
flask>=2.0.1
fsspec>=2023.6.0 # <= 2023.9.1 makes aux tests fail
g2pkk>=0.1.1
gruut[de,es,fr]==2.2.3
hangul_romanize
imageio_ffmpeg
inflect>=5.6.0
jamo
jieba
kornia
librosa
matplotlib>=3.7.0
mutagen==1.47.0
nltk
num2words
numba>=0.57.0
numpy==1.26.4
onnx==1.16.0
onnxruntime-gpu
openai
opencv-python==4.9.0.80
opencv-python-headless==4.8.0.76
packaging>=23.1
pandas>=1.4,<2.0
psutil==5.9.8
pydub
pypinyin
pysbd>=0.3.4
pyyaml>=6.0
scikit-learn>=1.3.0
scipy==1.13.0
sounddevice
soundfile>=0.12.0
spacy>=3
spandrel
torch>=2.1
torchaudio
torchsde
tqdm>=4.64.1
trainer>=0.0.36
transformers>=4.33.0
umap-learn>=0.5.1
unidecode>=1.3.2🛠️ Interactive Setup & Dependency Resolver
# Loading command...⚠️ Special Environment Requirements:
Requires PyTorch version 2.1+.
# Loading PyTorch command...