IF_MemoAvatar
Talking avatars MemoAvatar Memory-Guided Diffusion for Expressive Talking Video Generation
How much VRAM does IF_MemoAvatar require?
Direct Answer: The ComfyUI node IF_MemoAvatar 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!
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What Python packages are required for IF_MemoAvatar?
Direct Answer: Running IF_MemoAvatar requires installing the following Python package dependencies: accelerate==1.1.1, albumentations, albumentations==1.4.21, audio-separator, audio-separator==0.24.1, black==23.12.1, diffusers>=0.31.0, einops==0.8.0, ffmpeg-python==0.2.0, funasr==1.0.27, git-lfs, huggingface-hub==0.26.2, hydra-core==1.3.2, imageio==2.36.0, imageio-ffmpeg==0.5.1, insightface==0.7.3, jax==0.4.35, librosa, librosa==0.10.2, mediapipe==0.10.18, modelscope, modelscope, modelscope==1.20.1, moviepy>=1.0.3, numba, numpy>=1.26.4, omegaconf==2.3.0, onnxruntime>=1.20.1, onnxruntime-gpu>=1.20.1, opencv-python-headless==4.10.0.84, pillow>=10.4.0, pyyaml>=6.0.1, scikit-learn>=1.5.2, scipy>=1.14.1, tqdm>=4.67.1, transformers>=4.46.3. Ensure your ComfyUI environment has these packages active before launching.
accelerate==1.1.1
albumentations
albumentations==1.4.21
audio-separator
audio-separator==0.24.1
black==23.12.1
diffusers>=0.31.0
einops==0.8.0
ffmpeg-python==0.2.0
funasr==1.0.27
git-lfs
huggingface-hub==0.26.2
hydra-core==1.3.2
imageio==2.36.0
imageio-ffmpeg==0.5.1
insightface==0.7.3
jax==0.4.35
librosa
librosa==0.10.2
mediapipe==0.10.18
modelscope
modelscope
modelscope==1.20.1
moviepy>=1.0.3
numba
numpy>=1.26.4
omegaconf==2.3.0
onnxruntime>=1.20.1
onnxruntime-gpu>=1.20.1
opencv-python-headless==4.10.0.84
pillow>=10.4.0
pyyaml>=6.0.1
scikit-learn>=1.5.2
scipy>=1.14.1
tqdm>=4.67.1
transformers>=4.46.3Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does IF_MemoAvatar require?
IF_MemoAvatar requires a minimum of 4096MB (4.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 8GB of VRAM is recommended. Low VRAM mode is not supported for this node.
Can I run IF_MemoAvatar on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 6.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 10.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 17.6GB headroom
What Python packages are required for IF_MemoAvatar?
To run IF_MemoAvatar, you need to install: accelerate==1.1.1, albumentations, albumentations==1.4.21, audio-separator, audio-separator==0.24.1, black==23.12.1, diffusers>=0.31.0, einops==0.8.0, ffmpeg-python==0.2.0, funasr==1.0.27, git-lfs, huggingface-hub==0.26.2, hydra-core==1.3.2, imageio==2.36.0, imageio-ffmpeg==0.5.1, insightface==0.7.3, jax==0.4.35, librosa, librosa==0.10.2, mediapipe==0.10.18, modelscope, modelscope, modelscope==1.20.1, moviepy>=1.0.3, numba, numpy>=1.26.4, omegaconf==2.3.0, onnxruntime>=1.20.1, onnxruntime-gpu>=1.20.1, opencv-python-headless==4.10.0.84, pillow>=10.4.0, pyyaml>=6.0.1, scikit-learn>=1.5.2, scipy>=1.14.1, tqdm>=4.67.1, transformers>=4.46.3. You can install these using pip or add them to your requirements.txt file.
How do I install IF_MemoAvatar in ComfyUI?
To install IF_MemoAvatar: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/if-ai/ComfyUI-IF_MemoAvatar, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.