Comfyui_StoryMem
Custom ComfyUI nodes for StoryMem - Multi-shot long video storytelling with memory-conditioned video diffusion models.
How much VRAM does Comfyui_StoryMem require?
Direct Answer: The ComfyUI node Comfyui_StoryMem 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 Comfyui_StoryMem?
Direct Answer: Running Comfyui_StoryMem requires installing the following Python package dependencies: accelerate>=1.1.1, av, click, diffusers==0.32.2, easydict, ftfy, huggingface_hub>=0.20.0, imageio, json5, matplotlib, numpy>=1.23.5,<2, opencv-python>=4.9.0.80, peft==0.14.0, pillow, protobuf, tensorboard, tokenizers>=0.20.3, torch>=2.4.0, torchvision>=0.19.0, tqdm, transformers==4.45.2, typing_extensions. This node specifically requires PyTorch version 2.4.0 or newer.
accelerate>=1.1.1
av
click
diffusers==0.32.2
easydict
ftfy
huggingface_hub>=0.20.0
imageio
json5
matplotlib
numpy>=1.23.5,<2
opencv-python>=4.9.0.80
peft==0.14.0
pillow
protobuf
tensorboard
tokenizers>=0.20.3
torch>=2.4.0
torchvision>=0.19.0
tqdm
transformers==4.45.2
typing_extensionsInteractive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.4.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does Comfyui_StoryMem require?
Comfyui_StoryMem 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 Comfyui_StoryMem 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 PyTorch version does Comfyui_StoryMem need?
Comfyui_StoryMem requires the following PyTorch-related packages: torch>=2.4.0, torchvision>=0.19.0. 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_StoryMem?
To run Comfyui_StoryMem, you need to install: accelerate>=1.1.1, av, click, diffusers==0.32.2, easydict, ftfy, huggingface_hub>=0.20.0, imageio, json5, matplotlib, numpy>=1.23.5,<2, opencv-python>=4.9.0.80, peft==0.14.0, pillow, protobuf, tensorboard, tokenizers>=0.20.3, torch>=2.4.0, torchvision>=0.19.0, tqdm, transformers==4.45.2, typing_extensions. You can install these using pip or add them to your requirements.txt file.
How do I install Comfyui_StoryMem in ComfyUI?
To install Comfyui_StoryMem: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/anveshane/Comfyui_StoryMem, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.