comfyui_ollama_vl_prompt
A custom ComfyUI node that uses Ollama vision-language models to generate or refine prompts from multiple input images and text.
How much VRAM does comfyui_ollama_vl_prompt require?
Direct Answer: The ComfyUI node comfyui_ollama_vl_prompt 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_ollama_vl_prompt?
Direct Answer: Running comfyui_ollama_vl_prompt requires installing the following Python package dependencies: annotated-types==0.7.0, anyio==4.12.1, certifi==2026.1.4, h11==0.16.0, httpcore==1.0.9, httpx==0.28.1, idna==3.11, numpy==2.4.2, ollama==0.6.1, pillow==12.1.0, pydantic==2.12.5, pydantic-core==2.41.5, typing-extensions==4.15.0, typing-inspection==0.4.2. Ensure your ComfyUI environment has these packages active before launching.
annotated-types==0.7.0
anyio==4.12.1
certifi==2026.1.4
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
idna==3.11
numpy==2.4.2
ollama==0.6.1
pillow==12.1.0
pydantic==2.12.5
pydantic-core==2.41.5
typing-extensions==4.15.0
typing-inspection==0.4.2Interactive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does comfyui_ollama_vl_prompt require?
comfyui_ollama_vl_prompt 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_ollama_vl_prompt 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_ollama_vl_prompt?
To run comfyui_ollama_vl_prompt, you need to install: annotated-types==0.7.0, anyio==4.12.1, certifi==2026.1.4, h11==0.16.0, httpcore==1.0.9, httpx==0.28.1, idna==3.11, numpy==2.4.2, ollama==0.6.1, pillow==12.1.0, pydantic==2.12.5, pydantic-core==2.41.5, typing-extensions==4.15.0, typing-inspection==0.4.2. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running comfyui_ollama_vl_prompt?
comfyui_ollama_vl_prompt 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_ollama_vl_prompt in ComfyUI?
To install comfyui_ollama_vl_prompt: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/JuanBerta/comfyui_ollama_vl_prompt, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.