ViewCrafter-ComfyUI

By AIFSHView on GitHub →

a custom node for [a/ViewCrafter](https://github.com/Drexubery/ViewCrafter)

How much VRAM does ViewCrafter-ComfyUI require?

Direct Answer: The ComfyUI node ViewCrafter-ComfyUI requires a minimum base VRAM of 256MB 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:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
HIGH

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 ViewCrafter-ComfyUI?

Direct Answer: Running ViewCrafter-ComfyUI requires installing the following Python package dependencies: altair==5.4.0, av==10.0.0, certifi==2024.7.4, decord==0.6.0, einops==0.6.1, gradio==3.37.0, gradio_client==0.7.1, grpcio==1.66.0, httpx==0.27.0, imageio==2.27.0, imageio-ffmpeg==0.4.8, kornia, matplotlib, moviepy==1.0.3, numpy==1.23.5, omegaconf==2.3.0, open-clip-torch==2.17.1, opencv-python==4.7.0.72, pillow==9.4.0, pip==23.0.1, pyglet==1.5.0, pygments==2.18.0, pytorch-lightning==1.9.3, pyyaml==6.0, roma==1.5.0, scikit-image==0.20.0, scikit-learn==1.2.2, scipy==1.9.1, starlette==0.38.2, tensorboard==2.12.2, tifffile, timm==0.6.13, tqdm==4.65.0, transformers==4.28.1, trimesh==4.4.3, yarl==1.9.4. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
altair==5.4.0
av==10.0.0
certifi==2024.7.4
decord==0.6.0
einops==0.6.1
gradio==3.37.0
gradio_client==0.7.1
grpcio==1.66.0
httpx==0.27.0
imageio==2.27.0
imageio-ffmpeg==0.4.8
kornia
matplotlib
moviepy==1.0.3
numpy==1.23.5
omegaconf==2.3.0
open-clip-torch==2.17.1
opencv-python==4.7.0.72
pillow==9.4.0
pip==23.0.1
pyglet==1.5.0
pygments==2.18.0
pytorch-lightning==1.9.3
pyyaml==6.0
roma==1.5.0
scikit-image==0.20.0
scikit-learn==1.2.2
scipy==1.9.1
starlette==0.38.2
tensorboard==2.12.2
tifffile
timm==0.6.13
tqdm==4.65.0
transformers==4.28.1
trimesh==4.4.3
yarl==1.9.4

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

AniTalker-ComfyUI
by AIFSH128MB VRAM
AUN ComfyUI Nodes
by loz27544.0GB VRAM
Advanced CLIP Text Encode
by BlenderNeko256MB VRAM
AntiMatter Nodes
by AntiMatterComfy4.0GB VRAM
Arctenoxs-Essentials_ComfyUI
by Arctenox256MB VRAM

Frequently Asked Questions

How much VRAM does ViewCrafter-ComfyUI require?

ViewCrafter-ComfyUI requires a minimum of 256MB (0.3GB) 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 ViewCrafter-ComfyUI on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom

What PyTorch version does ViewCrafter-ComfyUI need?

ViewCrafter-ComfyUI requires the following PyTorch-related packages: open-clip-torch==2.17.1, pytorch-lightning==1.9.3. 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 ViewCrafter-ComfyUI?

To run ViewCrafter-ComfyUI, you need to install: altair==5.4.0, av==10.0.0, certifi==2024.7.4, decord==0.6.0, einops==0.6.1, gradio==3.37.0, gradio_client==0.7.1, grpcio==1.66.0, httpx==0.27.0, imageio==2.27.0, imageio-ffmpeg==0.4.8, kornia, matplotlib, moviepy==1.0.3, numpy==1.23.5, omegaconf==2.3.0, open-clip-torch==2.17.1, opencv-python==4.7.0.72, pillow==9.4.0, pip==23.0.1, pyglet==1.5.0, pygments==2.18.0, pytorch-lightning==1.9.3, pyyaml==6.0, roma==1.5.0, scikit-image==0.20.0, scikit-learn==1.2.2, scipy==1.9.1, starlette==0.38.2, tensorboard==2.12.2, tifffile, timm==0.6.13, tqdm==4.65.0, transformers==4.28.1, trimesh==4.4.3, yarl==1.9.4. You can install these using pip or add them to your requirements.txt file.

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

ViewCrafter-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 ViewCrafter-ComfyUI in ComfyUI?

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