ComfyUI Reve API Integration Node

By lum3onView on GitHub →

A unified ComfyUI custom node that integrates all Reve API endpoints (Create, Edit, Remix) into a single, dynamic node with operation-specific inputs and seamless operation switching.

How much VRAM does ComfyUI Reve API Integration Node require?

Direct Answer: The ComfyUI node ComfyUI Reve API Integration Node 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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What Python packages are required for ComfyUI Reve API Integration Node?

Direct Answer: Running ComfyUI Reve API Integration Node requires installing the following Python package dependencies: numpy>=1.21.0, pillow>=9.0.0, requests>=2.28.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy>=1.21.0
pillow>=9.0.0
requests>=2.28.0

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:

BV Node Pack
by BlackVortexAI256MB VRAM
ComfyUI Execution Time Reporter
by njlent256MB VRAM
ComfyUI Nodes for External Tooling
by Acly256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Reve API Integration Node require?

ComfyUI Reve API Integration Node 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 ComfyUI Reve API Integration Node 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

What Python packages are required for ComfyUI Reve API Integration Node?

To run ComfyUI Reve API Integration Node, you need to install: numpy>=1.21.0, pillow>=9.0.0, requests>=2.28.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Reve API Integration Node?

ComfyUI Reve API Integration Node 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 Reve API Integration Node in ComfyUI?

To install ComfyUI Reve API Integration Node: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/lum3on/ComfyUI_Reve-API, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.