ComfyUI_SteadyDancer
SteadyDancer: Harmonized and Coherent Human Image Animation with First-Frame Preservation,Minimize the number of libraries and VRAMs as much as possible
How much VRAM does ComfyUI_SteadyDancer require?
Direct Answer: The ComfyUI node ComfyUI_SteadyDancer 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!
Deploy on High-Performance GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.
Deploy on Cloud GPUs
Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.
What Python packages are required for ComfyUI_SteadyDancer?
Direct Answer: Running ComfyUI_SteadyDancer requires installing the following Python package dependencies: accelerate>=1.1.1, dashscope, diffusers>=0.31.0, easydict, flash_attn, ftfy, gguf, imageio, imageio-ffmpeg, numpy>=1.23.5,<2, omegaconf, opencv-python>=4.9.0.80, tokenizers>=0.20.3, torch>=2.4.0, torchvision>=0.19.0, tqdm, transformers>=4.49.0. This node specifically requires PyTorch version 2.4.0 or newer.
accelerate>=1.1.1
dashscope
diffusers>=0.31.0
easydict
flash_attn
ftfy
gguf
imageio
imageio-ffmpeg
numpy>=1.23.5,<2
omegaconf
opencv-python>=4.9.0.80
tokenizers>=0.20.3
torch>=2.4.0
torchvision>=0.19.0
tqdm
transformers>=4.49.0Interactive 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_SteadyDancer require?
ComfyUI_SteadyDancer 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_SteadyDancer 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_SteadyDancer need?
ComfyUI_SteadyDancer 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_SteadyDancer?
To run ComfyUI_SteadyDancer, you need to install: accelerate>=1.1.1, dashscope, diffusers>=0.31.0, easydict, flash_attn, ftfy, gguf, imageio, imageio-ffmpeg, numpy>=1.23.5,<2, omegaconf, opencv-python>=4.9.0.80, tokenizers>=0.20.3, torch>=2.4.0, torchvision>=0.19.0, tqdm, transformers>=4.49.0. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_SteadyDancer in ComfyUI?
To install ComfyUI_SteadyDancer: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_SteadyDancer, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.