ComfyUI Extension: ComfyUI-VariationLab

Authored by Legorobotdude

Created

Updated

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Helps explore different parameters quickly

README

ComfyUI-VariationLab

A collection of experimental nodes for ComfyUI that enable systematic exploration of generation parameters.

Features

This custom node collection provides specialized variation nodes for ComfyUI:

VariationLab: CFG Explorer

  • Generate a batch of images with different CFG (Classifier-Free Guidance) values
  • Useful for finding the ideal CFG value for your prompt

VariationLab: Step Explorer

  • Generate a batch of images with different step counts
  • Perfect for comparing how many steps are needed for good results

VariationLab: Checkpoint Explorer

  • Generate images using multiple checkpoints in a single workflow
  • Supports up to 5 different checkpoints with customization for each:
    • Model-specific prompts (suffixes)
    • Clip skip values
    • Samplers, schedulers, CFG values, and step counts

Installation

  1. Clone this repository into your ComfyUI custom_nodes folder:
cd ComfyUI/custom_nodes
git clone https://github.com/yourusername/ComfyUI-VariationLab.git
  1. Restart ComfyUI

Usage

CFG Explorer

Connect model, conditioning (positive/negative), VAE, and latent inputs, then specify:

  • Seed value
  • Step count
  • CFG range (start, end, and number of steps)
  • Sampler and scheduler

Step Explorer

Connect model, conditioning, VAE, and latent inputs, then specify:

  • Seed value
  • Step range (start, end, and number of steps)
  • CFG value
  • Sampler and scheduler

Checkpoint Explorer

Connect a latent input and specify:

  • Base prompts (positive/negative)
  • Seed value
  • Default values for steps, CFG, sampler, etc.
  • Up to 5 checkpoints with per-checkpoint customization

Example Workflows

Example workflows can be found in the example_workflows directory:

  • batch_cfg_demo.json: Demonstrates the CFG Explorer (CFG variation)
  • batch_steps_demo.json: Demonstrates the Step Explorer (step count variation)
  • batch_checkpoint_demo.json: Demonstrates the Checkpoint Explorer (model comparison)

Note: If you experience validation errors when loading example workflows, try creating a new workflow from scratch by adding the nodes manually. Ensure you're using valid samplers (like "euler", "euler_ancestral", etc.) and schedulers ("normal", "karras", etc.).

Future Development

  • Improved parameter handling
  • Support for more parameter types (sampler exploration, prompt exploration)
  • Integration with ComfyUI's queue system
  • Modular design for extensible parameter types
  • Visual grid layout enhancements

License

MIT License