ComfyUI_HunyuanAvatar_Sm
HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters,try it in comfyUI ,if your VRAM >24G.
Quick Technical Summary: ComfyUI_HunyuanAvatar_Sm
- Base VRAM Footprint:
- 4096 MB (8 GB Tier)
- Primary Dependencies:
- accelerate, decord, diffusers==0.33.0, einops, ffmpeg, flash-attn, imageio, imageio-ffmpeg, librosa, loguru, numpy, omegaconf, opencv-python, pandas, safetensors, scikit-video, tqdm, transformers==4.45.1
- Min PyTorch / CUDA:
- PyTorch 2.0+ | CUDA 12.1+
- GitHub Repository:
- https://github.com/smthemex/ComfyUI_HunyuanAvatar_Sm
Citation Note: Data sourced from VRAM DB. For complete workflow OOM estimations, use the VRAM DB Workflow Analyzer.
How much VRAM does ComfyUI_HunyuanAvatar_Sm require?
Direct Answer: The ComfyUI node ComfyUI_HunyuanAvatar_Sm 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
Run ComfyUI_HunyuanAvatar_Sm locally
Honest estimate: this node typically needs ≥ 8GB VRAM in a real workflow.
Cheapest VRAM upgrade paths (live market prices)
- GeForce RTX 3060 12GB (Ultimate Budget VRAM King)Used: $209.62View eBay ↗
- GeForce RTX 4060 8GB (Modern Entry-Level)New: $303.50View Amazon ↗
Disclosure: As an Amazon Associate we earn from qualifying purchases. Cloud provider links are referrals at no additional cost to you.
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
Struggling with VRAM Crashes or Out-of-Memory Errors?
Running heavy models like FLUX or SDXL with ComfyUI_HunyuanAvatar_Sm? If you experience torch.cuda.OutOfMemoryError or driver timeouts, read our comprehensive troubleshooting guide to configure launch flags, enable tiled decoding, and avoid crashes.
Verify Compatibility for Your Specific GPU VRAM
Select your graphics card's VRAM capacity to view optimized batch sizes, suggested resolutions, and custom performance tips for ComfyUI_HunyuanAvatar_Sm:
What Python packages are required for ComfyUI_HunyuanAvatar_Sm?
Direct Answer: Running ComfyUI_HunyuanAvatar_Sm requires installing the following Python package dependencies: accelerate, decord, diffusers==0.33.0, einops, ffmpeg, flash-attn, imageio, imageio-ffmpeg, librosa, loguru, numpy, omegaconf, opencv-python, pandas, safetensors, scikit-video, tqdm, transformers==4.45.1. Ensure your ComfyUI environment has these packages active before launching.
accelerate
decord
diffusers==0.33.0
einops
ffmpeg
flash-attn
imageio
imageio-ffmpeg
librosa
loguru
numpy
omegaconf
opencv-python
pandas
safetensors
scikit-video
tqdm
transformers==4.45.1Interactive Setup & Dependency Resolver
# Loading command...Universal Architecture Compatibility
ComfyUI_HunyuanAvatar_Sm operates as a general-purpose processor without binding directly to a single checkpoint architecture. It can be paired across Stable Diffusion 1.5, SDXL, FLUX, and video diffusion pipelines.
Compatible Foundations
This node is verified to support or optimize workflows for the following foundation model families:
Frequently Asked Questions
How much VRAM does ComfyUI_HunyuanAvatar_Sm require?
ComfyUI_HunyuanAvatar_Sm 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_HunyuanAvatar_Sm 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
How much VRAM does ComfyUI_HunyuanAvatar_Sm take on an RTX 3060 vs RTX 4090?
On an RTX 3060 (12GB VRAM), ComfyUI_HunyuanAvatar_Sm runs smoothly on an RTX 3060 (12GB) with 6.8GB of headroom. This is sufficient to run the node alongside standard SD 1.5 and SDXL workflows in full precision. On an RTX 4090 (24GB VRAM), the node runs with extreme headroom on an RTX 4090 (24GB) with 17.6GB of dedicated headroom. This allows you to combine the node with massive models (like FLUX.1 Dev, Schnell, or Hunyuan Video) in full precision (FP16) without any offload flags.
What Python packages are required for ComfyUI_HunyuanAvatar_Sm?
To run ComfyUI_HunyuanAvatar_Sm, you need to install: accelerate, decord, diffusers==0.33.0, einops, ffmpeg, flash-attn, imageio, imageio-ffmpeg, librosa, loguru, numpy, omegaconf, opencv-python, pandas, safetensors, scikit-video, tqdm, transformers==4.45.1. You can install these using pip or add them to your requirements.txt file.
How do I install ComfyUI_HunyuanAvatar_Sm in ComfyUI?
To install ComfyUI_HunyuanAvatar_Sm: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/smthemex/ComfyUI_HunyuanAvatar_Sm, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.
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