ComfyUI-SkyworkUniPic

By Yuan-ManXView on GitHub →

ComfyUI-SkyworkUniPic is now available in ComfyUI, Skywork-UniPic is a unified autoregressive multimodal model with 1.5 billion parameters that natively integrates image understanding, text-to-image generation, and image editing capabilities within a single architecture.

How much VRAM does ComfyUI-SkyworkUniPic require?

Direct Answer: The ComfyUI node ComfyUI-SkyworkUniPic 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.

High (2-4GB)
Base VRAM:
256MB (0.3GB)
Recommended GPU:
4GB+ VRAM
Low VRAM Mode:
✓ 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!

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🚀 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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What Python packages are required for ComfyUI-SkyworkUniPic?

Direct Answer: Running ComfyUI-SkyworkUniPic requires installing the following Python package dependencies: deepspeed, mmengine, peft, timm==0.9.12, torch==2.6.0, transformers==4.45.2, xtuner. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
deepspeed
mmengine
peft
timm==0.9.12
torch==2.6.0
transformers==4.45.2
xtuner

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Related Custom Nodes

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

ComfyUI-Qwen-Image
by Yuan-ManX256MB VRAM
AIRedoon
by purpen256MB VRAM
BLIP Vision-Language Model Integration
by muhammederem128MB VRAM
BSS WD14 Batch Tagger
by Blacksnowskill128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-SkyworkUniPic require?

ComfyUI-SkyworkUniPic 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-SkyworkUniPic 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 ComfyUI-SkyworkUniPic need?

ComfyUI-SkyworkUniPic requires the following PyTorch-related packages: torch==2.6.0. 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 ComfyUI-SkyworkUniPic?

To run ComfyUI-SkyworkUniPic, you need to install: deepspeed, mmengine, peft, timm==0.9.12, torch==2.6.0, transformers==4.45.2, xtuner. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-SkyworkUniPic?

ComfyUI-SkyworkUniPic 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-SkyworkUniPic in ComfyUI?

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