ComfyUI_MangaNinjia
ComfyUI_MangaNinjia is a ComfyUI node of MangaNinja which is a Line Art Colorization with Precise Reference Following method.
How much VRAM does ComfyUI_MangaNinjia require?
Direct Answer: The ComfyUI node ComfyUI_MangaNinjia 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ 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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Deploy on Cloud GPUs
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What Python packages are required for ComfyUI_MangaNinjia?
Direct Answer: Running ComfyUI_MangaNinjia requires installing the following Python package dependencies: accelerate, basicsr==1.3.5, diffusers, einops, imageio, imageio-ffmpeg, importlib-metadata, importlib-resources, ipdb, ipython, ipywidgets, kornia, omegaconf, opencv-python, pandas, pillow, scikit-image, scikit-learn, scipy, torch, torchaudio, torchmetrics, torchvision, tqdm, transformers. Ensure your ComfyUI environment has these packages active before launching.
accelerate
basicsr==1.3.5
diffusers
einops
imageio
imageio-ffmpeg
importlib-metadata
importlib-resources
ipdb
ipython
ipywidgets
kornia
omegaconf
opencv-python
pandas
pillow
scikit-image
scikit-learn
scipy
torch
torchaudio
torchmetrics
torchvision
tqdm
transformersInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI_MangaNinjia require?
ComfyUI_MangaNinjia 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_MangaNinjia 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_MangaNinjia need?
ComfyUI_MangaNinjia requires the following PyTorch-related packages: torch, torchaudio, torchmetrics, torchvision. 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_MangaNinjia?
To run ComfyUI_MangaNinjia, you need to install: accelerate, basicsr==1.3.5, diffusers, einops, imageio, imageio-ffmpeg, importlib-metadata, importlib-resources, ipdb, ipython, ipywidgets, kornia, omegaconf, opencv-python, pandas, pillow, scikit-image, scikit-learn, scipy, torch, torchaudio, torchmetrics, torchvision, tqdm, transformers. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI_MangaNinjia?
ComfyUI_MangaNinjia 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_MangaNinjia in ComfyUI?
To install ComfyUI_MangaNinjia: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_MangaNinjia, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.