{"id":4362,"date":"2026-05-05T19:11:42","date_gmt":"2026-05-05T16:11:42","guid":{"rendered":"https:\/\/demensdeum.com\/blog\/2026\/05\/05\/local-ai-video-generator\/"},"modified":"2026-05-05T19:11:42","modified_gmt":"2026-05-05T16:11:42","slug":"local-ai-video-generator","status":"publish","type":"post","link":"https:\/\/demensdeum.com\/blog\/2026\/05\/05\/local-ai-video-generator\/","title":{"rendered":"Local video generation: ComfyUI and LTX-2.3"},"content":{"rendered":"<p>Previously, creating videos using neural networks was the prerogative of cloud services like Runway or Luma. Today, if you have a modern Nvidia graphics card, you can generate high-quality videos right on your computer. In this post, I will tell you how to set up local video generation using <b>ComfyUI<\/b> and the effective <b>LTX-2.3<\/b> model.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/demensdeum.com\/blog\/wp-content\/uploads\/2026\/05\/comfyui_ltx23_demo.jpg\"\/><\/p>\n<h2>Tools for video generation<\/h2>\n<p>For work we will need:<br \/>\n&#8211; <b>ComfyUI:<\/b> a powerful interface with a node-based architecture that allows you to flexibly customize the generation process.<br \/>\n&#8211; <b>LTX-2.3:<\/b> A modern model from Lightricks, optimized for creating smooth and detailed videos with relatively moderate video memory requirements.<\/p>\n<h2>Hardware requirements<\/h2>\n<p>Generating video is a much more resource-intensive process than working with images:<br \/>\n&#8211; <b>Video card (GPU):<\/b> Nvidia RTX with 8 GB VRAM is the minimum required for a resolution of 768&#215;512. For comfortable operation and higher resolutions, it is highly desirable to have 16\u201324 GB of VRAM.<br \/>\n&#8211; <b>Random access memory (RAM):<\/b> minimum 32 GB. Video models and VAEs take up a lot of space when downloading.<br \/>\n&#8211; <b>Disk space:<\/b> about 500 GB for the model itself and related components.<\/p>\n<h2>Setup and launch<\/h2>\n<p>The process of launching LTX-2.3 in ComfyUI is as follows:<br \/>\n1. <b>Update ComfyUI:<\/b> The model is relatively new, so make sure you have the latest version of the interface installed.<br \/>\n2. <b>Install Workflow:<\/b> The easiest way is to find a ready-made JSON template for LTX Video. The model requires specific nodes to work with video latent space.<br \/>\n3. <b>Prompt and parameters:<\/b> Enter a description of the scene in English. Note that the LTX-2.3 understands motion well (eg &#8220;camera orbits around&#8221;, &#8220;fast movement&#8221;).<\/p>\n<h2>Why choose LTX-2.3?<\/h2>\n<p>LTX-2.3 is notable because it delivers results comparable to proprietary cloud services, but runs locally. This gives you:<br \/>\n&#8211; <b>Complete privacy:<\/b> your prompts and generated videos do not go to other people\u2019s servers.<br \/>\n&#8211; <b>Control:<\/b> you can experiment with frame rate (FPS), resolution and prompt strength without having to pay for each attempt.<\/p>\n<p>Local video generation is still in active development, and LTX-2.3 is a great entry into the world of \u201chome Hollywood.\u201d<\/p>\n<h2>Links<\/h2>\n<p><a href=\"https:\/\/github.com\/comfyanonymous\/ComfyUI\" rel=\"noopener\" target=\"_blank\">https:\/\/github.com\/comfyanonymous\/ComfyUI<\/a><br \/>\n<a href=\"https:\/\/huggingface.co\/Lightricks\/LTX-Video\" rel=\"noopener\" target=\"_blank\">https:\/\/huggingface.co\/Lightricks\/LTX-Video<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Previously, creating videos using neural networks was the prerogative of cloud services like Runway or Luma. Today, if you have a modern Nvidia graphics card, you can generate high-quality videos right on your computer. In this post, I will tell you how to set up local video generation using ComfyUI and the effective LTX-2.3 model.<a class=\"more-link\" href=\"https:\/\/demensdeum.com\/blog\/2026\/05\/05\/local-ai-video-generator\/\">Continue reading <span class=\"screen-reader-text\">&#8220;Local video generation: ComfyUI and LTX-2.3&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[61],"tags":[],"class_list":["post-4362","post","type-post","status-publish","format-standard","hentry","category-techie","entry"],"translation":{"provider":"WPGlobus","version":"3.0.2","language":"en","enabled_languages":["en","ru","zh","de","fr","ja","pt","hi"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"ru":{"title":true,"content":true,"excerpt":false},"zh":{"title":true,"content":true,"excerpt":false},"de":{"title":true,"content":true,"excerpt":false},"fr":{"title":true,"content":true,"excerpt":false},"ja":{"title":true,"content":true,"excerpt":false},"pt":{"title":true,"content":true,"excerpt":false},"hi":{"title":true,"content":true,"excerpt":false}}},"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/comments?post=4362"}],"version-history":[{"count":0,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/posts\/4362\/revisions"}],"wp:attachment":[{"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/media?parent=4362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/categories?post=4362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/demensdeum.com\/blog\/wp-json\/wp\/v2\/tags?post=4362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}