ComfyUI Extension: comfyui-ksampler-batch

Authored by adbrasi

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Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Custom nodes for ComfyUI that generate multiple images in a single GPU batch with different seeds.

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Custom Nodes (2)

README

ComfyUI KSampler Batch Seeds

Custom nodes for ComfyUI that generate multiple images in a single GPU batch with different seeds.

Nodes

KSampler (Batch Seeds)

Drop-in replacement for KSampler that adds a batch_size parameter. Each image in the batch uses seed + i, so every result is independently reproducible.

KSampler Advanced (Batch Seeds)

Same as above but with start/end step control, noise toggle, and leftover noise options — matching KSampler Advanced's interface.

How It Works

Instead of generating one image at a time, these nodes:

  1. Replicate the input latent batch_size times
  2. Generate noise with truly different seeds per item (seed+0, seed+1, seed+2, …)
  3. Pass the entire batch through the model in a single forward pass

This maximizes GPU utilization — if your model uses 2GB and you have 8GB of VRAM, you can generate 2-3 images simultaneously.

Installation

Clone into your ComfyUI custom nodes directory:

cd ComfyUI/custom_nodes
git clone https://github.com/adolfocesar/comfyui-ksampler-batch.git

Reproducing a Specific Image

If you generated a batch with seed=42 and batch_size=4, and liked image #3 (index 2):

  • Use the standard KSampler with seed=44 (42 + 2) to reproduce that exact image.

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Learn more