Dream Video Batches

By Dream ProjectView on GitHub →

Provide utilities for batch based video generation workflows (s.a. AnimateDiff and Stable Video Diffusion).

How much VRAM does Dream Video Batches require?

Direct Answer: The ComfyUI node Dream Video Batches 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.

Very High (4-8GB)
Base VRAM:
4096MB (4.0GB)
Recommended GPU:
8GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
MEDIUM

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 Dream Video Batches?

Direct Answer: Running Dream Video Batches requires installing the following Python package dependencies: evalidate, imageio, numpy<2.0.0,>=1.18, pilgram, scipy, torchvision. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
evalidate
imageio
numpy<2.0.0,>=1.18
pilgram
scipy
torchvision

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:

AAA Metadata System
by EricRollei128MB VRAM
Animatediff MotionLoRA Trainer
by kijai4.0GB VRAM
Arc2Face ComfyUI Node Library
by caleboleary128MB VRAM
Arthemy Live Tuner - SDXL
by aledelpho8.0GB VRAM
BokehDiffusionComfyUI
by jrabek256MB VRAM

Frequently Asked Questions

How much VRAM does Dream Video Batches require?

Dream Video Batches 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 Dream Video Batches 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 Dream Video Batches need?

Dream Video Batches requires the following PyTorch-related packages: 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 Dream Video Batches?

To run Dream Video Batches, you need to install: evalidate, imageio, numpy<2.0.0,>=1.18, pilgram, scipy, torchvision. You can install these using pip or add them to your requirements.txt file.

How do I install Dream Video Batches in ComfyUI?

To install Dream Video Batches: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/alt-key-project/comfyui-dream-video-batches, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.