ComfyUI Ultimate Auto Sampler Config Grid Testing Suite

By JasonHokuView on GitHub →

ComfyUI Sampler testing & benchmarking tool for testing Stable Diffusion samplers, schedulers, CFG scales, prompts, img2img denoise values, and LoRA combinations. Features infinite-canvas dashboard image grids with virtual scrolling that can handle thousands of images, multi-model comparison, automatic resume on interrupt, and real-time visualization. Test entire checkpoint folders, stack multiple LoRAs, generate random seed variations, and export optimized configs. Includes fullscreen mode, keyboard navigation, smart filtering by parameters, and one-click regeneration workflow. Perfect for sampler output optimization and hyperparameter tuning.

How much VRAM does ComfyUI Ultimate Auto Sampler Config Grid Testing Suite require?

Direct Answer: The ComfyUI node ComfyUI Ultimate Auto Sampler Config Grid Testing Suite 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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What Python packages are required for ComfyUI Ultimate Auto Sampler Config Grid Testing Suite?

Direct Answer: Running ComfyUI Ultimate Auto Sampler Config Grid Testing Suite requires installing the following Python package dependencies: diffusers, piexif. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
diffusers
piexif

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:

BrushNet
by nullquant8.0GB VRAM
Civitai Prompt Stats Node
by BAIKEMARK256MB VRAM
ComfyUI Easy Use
by yolain128MB VRAM
ComfyUI GLM-4 Wrapper
by Nojahhh4.0GB VRAM
ComfyUI Hunyuan-3D-2
by niknah128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Ultimate Auto Sampler Config Grid Testing Suite require?

ComfyUI Ultimate Auto Sampler Config Grid Testing Suite 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 Ultimate Auto Sampler Config Grid Testing Suite 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 Python packages are required for ComfyUI Ultimate Auto Sampler Config Grid Testing Suite?

To run ComfyUI Ultimate Auto Sampler Config Grid Testing Suite, you need to install: diffusers, piexif. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Ultimate Auto Sampler Config Grid Testing Suite?

ComfyUI Ultimate Auto Sampler Config Grid Testing Suite 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 Ultimate Auto Sampler Config Grid Testing Suite in ComfyUI?

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