🚀 Run this Workflow for FREE on Runninghub: <a target="_blank" rel="ugc" href="https://www.runninghub.ai/post/2061355424439431169/?inviteCode=rh-v1497">https://www.runninghub.ai/post/2061355424439431169/?inviteCode=rh-v1497</a> (🎁 Tip: Sign up via the link above to get 1,000 free credits + 100 daily login points!) 🎥 Watch the Full Video Tutorial &amp; Review: <div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/Um0SL3q_1vk" start="0"></iframe></div>🌟 OverviewReady to push LTX 2.3 to its absolute breaking point? This workflow is designed to handle 4 reference images, attempting to mimic the advanced multi-image capabilities of closed-source giants like Grok.Because pushing 4 images significantly increases the risk of consistency breakdown, this workflow uses Manual Nodes for the reference inputs. This gives you absolute granular control over how the global prompts and segmented prompts interact.🚀 Key Features<ul><li>Manual prompt relay Node Architecture: Built for power users who want strict control over 4 separate image indexes and text prompts.</li><li>OmniNFT LoRA Included: Essential for maintaining character body proportions when feeding the model too much visual data. It helps keep the aesthetics clean even under heavy load.</li></ul>

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