ComfyUI-TJ_NODE_STUDIO_ONE

By designloves2View on GitHub →

One-node studio UI package for Z-Image Turbo, Flux.2 Klein, Qwen Image Edit 2511, and Krea 2 workflows, including T2I, I2I, inpaint, outpaint, edit, faceswap, angle, and upscale modes.

How much VRAM does ComfyUI-TJ_NODE_STUDIO_ONE require?

Direct Answer: The ComfyUI node ComfyUI-TJ_NODE_STUDIO_ONE requires a minimum base VRAM of 12288MB and is optimized for GPUs with at least 24GB of VRAM. Low VRAM mode is not supported for this node.

Extreme (>8GB)
Base VRAM:
12288MB (12.0GB)
Recommended GPU:
24GB+ 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.

🚀 Deploy on RunPod

What Python packages are required for ComfyUI-TJ_NODE_STUDIO_ONE?

Direct Answer: Running ComfyUI-TJ_NODE_STUDIO_ONE requires installing the following Python package dependencies: einops, gguf>=0.9.0, insightface>=0.7.3, kornia, onnxruntime>=1.16.0, opencv-python, scikit-image, timm, ultralytics>=8.0.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
einops
gguf>=0.9.0
insightface>=0.7.3
kornia
onnxruntime>=1.16.0
opencv-python
scikit-image
timm
ultralytics>=8.0.0

Interactive Setup & Dependency Resolver

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

Compatible Foundations

This node is verified to support or optimize workflows for the following foundation model families:

⚡ FLUX.1

Related Custom Nodes

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

Kraken Tools
by KrakenUnbound12.0GB VRAM
Apply Style Model Adjust for ComfyUI
by ShmuelRonen12.0GB VRAM
Atom_AI
by AtomAI-GR12.0GB VRAM
Bawk Nodes Collection
by juddisjudd12.0GB VRAM
Bobs_Latent_Optimizer
by bobsblazed12.0GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-TJ_NODE_STUDIO_ONE require?

ComfyUI-TJ_NODE_STUDIO_ONE requires a minimum of 12288MB (12.0GB) of VRAM for base operation. For optimal performance, a GPU with at least 24GB of VRAM is recommended. Low VRAM mode is not supported for this node.

Can I run ComfyUI-TJ_NODE_STUDIO_ONE on an RTX 3060, RTX 4070, or RTX 4090?

❌ RTX 3060 (12GB): Insufficient VRAM (needs 12.0GB minimum). ❌ RTX 4070 (12GB): Insufficient VRAM (needs 12.0GB minimum). ⚠️ RTX 4070 Ti (16GB): Can run, but may experience performance issues or require low VRAM mode. ✅ RTX 4090 (24GB): Yes, fully compatible with 9.6GB headroom

What Python packages are required for ComfyUI-TJ_NODE_STUDIO_ONE?

To run ComfyUI-TJ_NODE_STUDIO_ONE, you need to install: einops, gguf>=0.9.0, insightface>=0.7.3, kornia, onnxruntime>=1.16.0, opencv-python, scikit-image, timm, ultralytics>=8.0.0. You can install these using pip or add them to your requirements.txt file.

How do I install ComfyUI-TJ_NODE_STUDIO_ONE in ComfyUI?

To install ComfyUI-TJ_NODE_STUDIO_ONE: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/designloves2/ComfyUI-TJ_NODE_STUDIO_ONE, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.