PyramidFlow-ComfyUI
a custom node for [a/Pyramid-Flow](https://github.com/jy0205/Pyramid-Flow)
How much VRAM does PyramidFlow-ComfyUI require?
Direct Answer: The ComfyUI node PyramidFlow-ComfyUI 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 PyramidFlow-ComfyUI?
Direct Answer: Running PyramidFlow-ComfyUI requires installing the following Python package dependencies: accelerate, contexttimer, decord, diffusers, einops, ftfy, imageio, imageio-ffmpeg, ipython, jsonlines, opencv-python-headless, packaging, pandas, plotly, pre-commit, pycocoevalcap, pycocotools, python-magic, scikit-image, sentencepiece, spacy, streamlit, tensorboardx, tiktoken, timm, torchmetrics, tqdm, transformers, wheel. Ensure your ComfyUI environment has these packages active before launching.
accelerate
contexttimer
decord
diffusers
einops
ftfy
imageio
imageio-ffmpeg
ipython
jsonlines
opencv-python-headless
packaging
pandas
plotly
pre-commit
pycocoevalcap
pycocotools
python-magic
scikit-image
sentencepiece
spacy
streamlit
tensorboardx
tiktoken
timm
torchmetrics
tqdm
transformers
wheelInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does PyramidFlow-ComfyUI require?
PyramidFlow-ComfyUI 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 PyramidFlow-ComfyUI 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 PyramidFlow-ComfyUI need?
PyramidFlow-ComfyUI requires the following PyTorch-related packages: 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 PyramidFlow-ComfyUI?
To run PyramidFlow-ComfyUI, you need to install: accelerate, contexttimer, decord, diffusers, einops, ftfy, imageio, imageio-ffmpeg, ipython, jsonlines, opencv-python-headless, packaging, pandas, plotly, pre-commit, pycocoevalcap, pycocotools, python-magic, scikit-image, sentencepiece, spacy, streamlit, tensorboardx, tiktoken, timm, torchmetrics, tqdm, transformers, wheel. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running PyramidFlow-ComfyUI?
PyramidFlow-ComfyUI 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 PyramidFlow-ComfyUI in ComfyUI?
To install PyramidFlow-ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/AIFSH/PyramidFlow-ComfyUI, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.