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Jurdns Iterative Noise KSampler

A ComfyUI custom node that adds controlled noise injection during the sampling process for enhanced image generation quality and detail.

Features

  • Iterative Noise Injection: Adds carefully controlled noise at specified intervals during sampling
  • Progressive Noise Control: Start and end noise strength parameters for gradual transitions
  • Flexible Timing: Configure how often noise is added with the step interval parameter
  • Full Compatibility: Works with all ComfyUI samplers and schedulers
  • Deterministic Results: Seeded noise generation for reproducible outputs

Parameters

Parameter Type Default Description
add_noise_every_n_steps INT 1 Add noise every N steps
start_noise_strength FLOAT 0.1 Initial noise strength
end_noise_strength FLOAT 0.0 Final noise strength

Plus all standard KSampler parameters (model, conditioning, steps, CFG, sampler, scheduler, etc.)

How It Works

The node injects controlled noise during the sampling process at specified intervals. The noise strength progressively changes from the start value to the end value, allowing for enhanced detail generation, improved texture quality, and better handling of complex compositions. The noise injection uses the current sigma values for proper scaling and maintains deterministic behavior through seeded random generation.

Installation

ComfyUI Manager

Search for "Jurdns Iterative Noise KSampler" in ComfyUI Manager and install.

Manual Installation

cd /path/to/ComfyUI/custom_nodes/
git clone https://github.com/jurdnf/ComfyUI-JurdnsIterativeNoiseKSampler.git

Then restart ComfyUI.

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Readme Apache-2.0
37 KiB
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Python 100%