YALLM-LlamaVision
A set of nodes for basic Llama 3.2 Vision support in ComfyUI. Give it an image and query and it will output a text response.
How much VRAM does YALLM-LlamaVision require?
Direct Answer: The ComfyUI node YALLM-LlamaVision 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 YALLM-LlamaVision?
Direct Answer: Running YALLM-LlamaVision requires installing the following Python package dependencies: accelerate, bitsandbytes, huggingface_hub, pillow, pydantic, pyyaml, torch, torchvision, transformers>=4.46.0. Ensure your ComfyUI environment has these packages active before launching.
accelerate
bitsandbytes
huggingface_hub
pillow
pydantic
pyyaml
torch
torchvision
transformers>=4.46.0Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does YALLM-LlamaVision require?
YALLM-LlamaVision 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 YALLM-LlamaVision 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 PyTorch version does YALLM-LlamaVision need?
YALLM-LlamaVision requires the following PyTorch-related packages: torch, torchvision. 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 YALLM-LlamaVision?
To run YALLM-LlamaVision, you need to install: accelerate, bitsandbytes, huggingface_hub, pillow, pydantic, pyyaml, torch, torchvision, transformers>=4.46.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running YALLM-LlamaVision?
YALLM-LlamaVision 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 YALLM-LlamaVision in ComfyUI?
To install YALLM-LlamaVision: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/asaddi/YALLM-LlamaVision, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.