ComfyUI_RH_Helios
ComfyUI custom nodes for Helios — a 14B real-time long video generation model achieving minute-scale, high-quality video synthesis. Supports Text-to-Video, Image-to-Video, and Video-to-Video generation.
How much VRAM does ComfyUI_RH_Helios require?
Direct Answer: The ComfyUI node ComfyUI_RH_Helios 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_RH_Helios?
Direct Answer: Running ComfyUI_RH_Helios requires installing the following Python package dependencies: accelerate>=1.10.1, deepspeed>=0.14.4, diffusers>=0.36.0, einops>=0.8.0, ftfy>=6.1.3, gradio>=4.44.0, huggingface-hub>=0.34.3, imageio-ffmpeg>=0.4.9, jinja2>=3.1.4, loguru>=0.7.2, moviepy>=1.0.3, ninja>=1.11.1.1, numpy<2.0.0, omegaconf>=2.3.0, opencv-python>=4.8.0.76, packaging>=23.2, peft>=0.17.1, spaces>=0.19.4, tf_keras>=2.16.0, torch>=2.7.1, torchaudio>=2.7.1, torchdata>=0.7.0a0, torchvision>=0.22.1, transformers>=4.57.1, triton>=3.3.1, wandb>=0.18.7, zstandard>=0.25.0. This node specifically requires PyTorch version 2.7.1 or newer.
accelerate>=1.10.1
deepspeed>=0.14.4
diffusers>=0.36.0
einops>=0.8.0
ftfy>=6.1.3
gradio>=4.44.0
huggingface-hub>=0.34.3
imageio-ffmpeg>=0.4.9
jinja2>=3.1.4
loguru>=0.7.2
moviepy>=1.0.3
ninja>=1.11.1.1
numpy<2.0.0
omegaconf>=2.3.0
opencv-python>=4.8.0.76
packaging>=23.2
peft>=0.17.1
spaces>=0.19.4
tf_keras>=2.16.0
torch>=2.7.1
torchaudio>=2.7.1
torchdata>=0.7.0a0
torchvision>=0.22.1
transformers>=4.57.1
triton>=3.3.1
wandb>=0.18.7
zstandard>=0.25.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.7.1+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI_RH_Helios require?
ComfyUI_RH_Helios 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_RH_Helios 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_RH_Helios need?
ComfyUI_RH_Helios requires the following PyTorch-related packages: torch>=2.7.1, torchaudio>=2.7.1, torchdata>=0.7.0a0, torchvision>=0.22.1. 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_RH_Helios?
To run ComfyUI_RH_Helios, you need to install: accelerate>=1.10.1, deepspeed>=0.14.4, diffusers>=0.36.0, einops>=0.8.0, ftfy>=6.1.3, gradio>=4.44.0, huggingface-hub>=0.34.3, imageio-ffmpeg>=0.4.9, jinja2>=3.1.4, loguru>=0.7.2, moviepy>=1.0.3, ninja>=1.11.1.1, numpy<2.0.0, omegaconf>=2.3.0, opencv-python>=4.8.0.76, packaging>=23.2, peft>=0.17.1, spaces>=0.19.4, tf_keras>=2.16.0, torch>=2.7.1, torchaudio>=2.7.1, torchdata>=0.7.0a0, torchvision>=0.22.1, transformers>=4.57.1, triton>=3.3.1, wandb>=0.18.7, zstandard>=0.25.0. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_RH_Helios in ComfyUI?
To install ComfyUI_RH_Helios: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/HM-RunningHub/ComfyUI_RH_Helios, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.