Overview This workflow is built around one simple idea: running multiple prompts through one clean generation path without duplicating prompt nodes, sampler chains, or whole branches of the graph.Instead of building a cluttered workflow just to test prompt variations, this setup keeps everything compact and easy to manage. You can place a batch of prompts into one prompt list, run them through the same shared workflow, and generate a full set of variations in a much cleaner and more practical way.This makes it especially useful for:<ul><li>dataset image generation</li><li>image set creation</li><li>prompt variation testing</li><li>outfit, pose, and expression studies</li><li>character iteration</li><li>organized prompt pack generation</li></ul>What I like most about this workflow is how much cleaner it feels to use. It saves a lot of space on the canvas, avoids repeated sampler setups, and makes comparing prompt ideas much easier.What this workflow focuses on The core feature of this workflow is multi prompt batching.It is designed for people who want to:<ul><li>run many prompts from one compact setup</li><li>keep one shared generation path</li><li>compare results side by side</li><li>avoid messy duplicated graphs</li></ul>That makes it a very comfortable workflow for both testing and production use.Special thanks Special thanks to geroldmeisinger for ComfyUI-outputlists-combiner. This workflow uses that node for its multi prompt batching setup, and it saves a huge amount of time and workflow space.<a target="_blank" rel="ugc" href="https://github.com/geroldmeisinger/ComfyUI-outputlists-combiner">Link to custom node</a>How to use<ol><li>Paste multiple prompts into the prompt list</li><li>Separate them with your chosen separator</li><li>Run the workflow once</li><li>Review the generated batch and compare the results</li></ol>Final note This workflow is meant to be simple, compact, and practical. It is a cleaner alternative to using multiple prompt fields and duplicated sampler branches, especially when you want to build datasets, image sets, or large prompt variation batches efficiently.Description written with help from ChatGPT.

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