Model and Prompt from Metadata

By ketle-manView on GitHub →

Drop a ComfyUI PNG/WebP/JSON onto the node to instantly extract and apply checkpoint, VAE, and prompts from embedded metadata. Supports ComfyUI, SD WebUI, SD Forge neo, Fooocus, SDXLPromptStyler, and Lora Loader (LoraManager). Includes LoRA from Metadata and CLIP Text Encode edit+ nodes.

How much VRAM does Model and Prompt from Metadata require?

Direct Answer: The ComfyUI node Model and Prompt from Metadata requires a minimum base VRAM of 8192MB and is optimized for GPUs with at least 12GB of VRAM. Low VRAM mode is not supported for this node.

Very High (4-8GB)
Base VRAM:
8192MB (8.0GB)
Recommended GPU:
12GB+ VRAM
Low VRAM Mode:
✗ Not supported
Estimation Confidence:
HIGH

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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

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Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

Anima Adapter Loader
by sorryhyun128MB VRAM
Anima LoRA Comparison
by yunqiankuangyu128MB VRAM
Aspect Ratio Selector
by rTachibana128MB VRAM
AssetThingie
by pogo-pedagog128MB VRAM
AsymFLUX2
by nynxz12.0GB VRAM

Frequently Asked Questions

How much VRAM does Model and Prompt from Metadata require?

Model and Prompt from Metadata requires a minimum of 8192MB (8.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 12GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run Model and Prompt from Metadata on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 2.8GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 6.4GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 13.6GB headroom

How do I install Model and Prompt from Metadata in ComfyUI?

To install Model and Prompt from Metadata: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ketle-man/model-and-prompt-from-metadata, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.