ComfyUI_Qwen2-Audio-7B-Instruct-Int4

By IuvenisSapiensView on GitHub →

This is an implementation of [a/Qwen2-Audio-7B-Instruct-Int4](https://github.com/QwenLM/Qwen2-Audio) by [a/ComfyUI](https://github.com/comfyanonymous/ComfyUI), including support for text-based queries and audio queries to generate captions or responses.

How much VRAM does ComfyUI_Qwen2-Audio-7B-Instruct-Int4 require?

Direct Answer: The ComfyUI node ComfyUI_Qwen2-Audio-7B-Instruct-Int4 requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ 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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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI_Qwen2-Audio-7B-Instruct-Int4?

Direct Answer: Running ComfyUI_Qwen2-Audio-7B-Instruct-Int4 requires installing the following Python package dependencies: bitsandbytes, huggingface_hub, librosa, torch, transformers>=4.45.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
bitsandbytes
huggingface_hub
librosa
torch
transformers>=4.45.0

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:

APZmedia Qwen TTS Nodes
by APZmedia128MB VRAM
ComfyUI Comic Creator
by ketle-man256MB VRAM
ComfyUI Gemini Pro Node
by penposs4.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI_Qwen2-Audio-7B-Instruct-Int4 require?

ComfyUI_Qwen2-Audio-7B-Instruct-Int4 requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI_Qwen2-Audio-7B-Instruct-Int4 on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom

What PyTorch version does ComfyUI_Qwen2-Audio-7B-Instruct-Int4 need?

ComfyUI_Qwen2-Audio-7B-Instruct-Int4 requires the following PyTorch-related packages: torch. 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_Qwen2-Audio-7B-Instruct-Int4?

To run ComfyUI_Qwen2-Audio-7B-Instruct-Int4, you need to install: bitsandbytes, huggingface_hub, librosa, torch, transformers>=4.45.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI_Qwen2-Audio-7B-Instruct-Int4?

ComfyUI_Qwen2-Audio-7B-Instruct-Int4 supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.

How do I install ComfyUI_Qwen2-Audio-7B-Instruct-Int4 in ComfyUI?

To install ComfyUI_Qwen2-Audio-7B-Instruct-Int4: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/IuvenisSapiens/ComfyUI_Qwen2-Audio-7B-Instruct-Int4, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.