ThinkSound_Wrapper
A ComfyUI wrapper implementation of ThinkSound - an advanced AI model for generating high-quality audio from text descriptions and video content using Chain-of-Thought reasoning.
How much VRAM does ThinkSound_Wrapper require?
Direct Answer: The ComfyUI node ThinkSound_Wrapper 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 ThinkSound_Wrapper?
Direct Answer: Running ThinkSound_Wrapper requires installing the following Python package dependencies: alias-free-torch==0.0.6, auraloss==0.4.0, descript-audio-codec==1.0.0, einops==0.7.0, einops-exts==0.0.4, ema-pytorch==0.2.3, encodec==0.1.1, huggingface_hub, importlib-resources>=5.0.0, k-diffusion==0.1.1, lightning>=2.0.0, open-clip-torch>=2.20.0, pandas>=2.0.0, pywavelets==1.4.1, safetensors, sentencepiece>=0.1.99, tqdm, vector-quantize-pytorch==1.9.14. Ensure your ComfyUI environment has these packages active before launching.
alias-free-torch==0.0.6
auraloss==0.4.0
descript-audio-codec==1.0.0
einops==0.7.0
einops-exts==0.0.4
ema-pytorch==0.2.3
encodec==0.1.1
huggingface_hub
importlib-resources>=5.0.0
k-diffusion==0.1.1
lightning>=2.0.0
open-clip-torch>=2.20.0
pandas>=2.0.0
pywavelets==1.4.1
safetensors
sentencepiece>=0.1.99
tqdm
vector-quantize-pytorch==1.9.14Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ThinkSound_Wrapper require?
ThinkSound_Wrapper 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 ThinkSound_Wrapper 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 ThinkSound_Wrapper need?
ThinkSound_Wrapper requires the following PyTorch-related packages: alias-free-torch==0.0.6, ema-pytorch==0.2.3, open-clip-torch>=2.20.0, vector-quantize-pytorch==1.9.14. 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 ThinkSound_Wrapper?
To run ThinkSound_Wrapper, you need to install: alias-free-torch==0.0.6, auraloss==0.4.0, descript-audio-codec==1.0.0, einops==0.7.0, einops-exts==0.0.4, ema-pytorch==0.2.3, encodec==0.1.1, huggingface_hub, importlib-resources>=5.0.0, k-diffusion==0.1.1, lightning>=2.0.0, open-clip-torch>=2.20.0, pandas>=2.0.0, pywavelets==1.4.1, safetensors, sentencepiece>=0.1.99, tqdm, vector-quantize-pytorch==1.9.14. You can install these using pip or add them to your requirements.txt file.
How do I install ThinkSound_Wrapper in ComfyUI?
To install ThinkSound_Wrapper: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/mahshid1378/ThinkSound_Wrapper, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.