ComfyUI-Captionator-Qwen35
ComfyUI Qwen 3.5 Prompting nodes (captionate image, improve prompt, etc)
How much VRAM does ComfyUI-Captionator-Qwen35 require?
Direct Answer: The ComfyUI node ComfyUI-Captionator-Qwen35 requires a minimum base VRAM of 256MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 256MB (0.3GB)
- Recommended GPU:
- 4GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- HIGH
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-Captionator-Qwen35?
Direct Answer: Running ComfyUI-Captionator-Qwen35 requires installing the following Python package dependencies: accelerate>=1.13.0, bitsandbytes>=0.48.0, huggingface_hub>=0.34.0, protobuf>=5.0.0, safetensors>=0.4.3, sentencepiece>=0.1.99, tiktoken>=0.4.0, transformers>=5.2.0. Ensure your ComfyUI environment has these packages active before launching.
accelerate>=1.13.0
bitsandbytes>=0.48.0
huggingface_hub>=0.34.0
protobuf>=5.0.0
safetensors>=0.4.3
sentencepiece>=0.1.99
tiktoken>=0.4.0
transformers>=5.2.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does ComfyUI-Captionator-Qwen35 require?
ComfyUI-Captionator-Qwen35 requires a minimum of 256MB (0.3GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-Captionator-Qwen35 on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.6GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.2GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.4GB headroom
What Python packages are required for ComfyUI-Captionator-Qwen35?
To run ComfyUI-Captionator-Qwen35, you need to install: accelerate>=1.13.0, bitsandbytes>=0.48.0, huggingface_hub>=0.34.0, protobuf>=5.0.0, safetensors>=0.4.3, sentencepiece>=0.1.99, tiktoken>=0.4.0, transformers>=5.2.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-Captionator-Qwen35?
ComfyUI-Captionator-Qwen35 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-Captionator-Qwen35 in ComfyUI?
To install ComfyUI-Captionator-Qwen35: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ArtemKo7v/ComfyUI-Captionator-Qwen35, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.