jolly-cosmos3-comfyuinodes

By JOLLYKRONKView on GitHub →

Drop-in ComfyUI nodes that implement the jolly-cosmos3-comfyuinodes inference path from the NVIDIA model card, supporting Cosmos 3 architecture with Qwen2 chat templates and flow-matching.

How much VRAM does jolly-cosmos3-comfyuinodes require?

Direct Answer: The ComfyUI node jolly-cosmos3-comfyuinodes requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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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Related Custom Nodes

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

AIRedoon
by purpen256MB VRAM
BLIP Vision-Language Model Integration
by muhammederem128MB VRAM
BSS WD14 Batch Tagger
by Blacksnowskill128MB VRAM
CSV Styler
by Pun0110256MB VRAM

Frequently Asked Questions

How much VRAM does jolly-cosmos3-comfyuinodes require?

jolly-cosmos3-comfyuinodes requires a minimum of 128MB (0.1GB) 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 jolly-cosmos3-comfyuinodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

How can I reduce VRAM usage when running jolly-cosmos3-comfyuinodes?

jolly-cosmos3-comfyuinodes 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 jolly-cosmos3-comfyuinodes in ComfyUI?

To install jolly-cosmos3-comfyuinodes: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/JOLLYKRONK/jolly-cosmos3-comfyuinodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.