Monja Image Validator

By monjaView on GitHub →

Valida se a imagem é múltipla de 8 para workflows de Upscale e Flux.

How much VRAM does Monja Image Validator require?

Direct Answer: The ComfyUI node Monja Image Validator 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 Monja Image Validator?

Direct Answer: Running Monja Image Validator requires installing the following Python package dependencies: torch, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
torch
torchaudio

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:

Atom_AI
by AtomAI-GR12.0GB VRAM
Bawk Nodes Collection
by juddisjudd12.0GB VRAM
Bobs_Latent_Optimizer
by bobsblazed12.0GB VRAM
CAS Aspect Ratio Presets Node for ComfyUI
by budihartono12.0GB VRAM
CoMPaSS-ComfyUI
by blurgyy12.0GB VRAM

Frequently Asked Questions

How much VRAM does Monja Image Validator require?

Monja Image Validator 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 Monja Image Validator 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 PyTorch version does Monja Image Validator need?

Monja Image Validator requires the following PyTorch-related packages: torch, torchaudio. 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 Monja Image Validator?

To run Monja Image Validator, you need to install: torch, torchaudio. You can install these using pip or add them to your requirements.txt file.

How do I install Monja Image Validator in ComfyUI?

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