{"id":4953,"date":"2026-01-20T13:59:46","date_gmt":"2026-01-20T05:59:46","guid":{"rendered":"https:\/\/crepal.ai\/blog\/?p=4953"},"modified":"2026-01-21T10:25:04","modified_gmt":"2026-01-21T02:25:04","slug":"blog-ltx-2-best-settings-comfyui-2026","status":"publish","type":"post","link":"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-best-settings-comfyui-2026\/","title":{"rendered":"LTX-2 Best Settings in ComfyUI: Quality vs Speed Presets (2026)"},"content":{"rendered":"\n<p>Hey, my friends. I&#8217;m Dora here. On January 9, 2026, I saw yet another short clip tagged &#8220;LTX-2&#8221; on my feed, buttery camera pan, zero wobble, and I had that itch. I opened <a href=\"https:\/\/github.com\/comfyanonymous\/ComfyUI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">ComfyUI <\/a>at 11:42 p.m., told myself I&#8217;d &#8220;just try one render,&#8221; and of course my cat judged me at 2 a.m. while I was still nudging sliders.<\/p>\n\n\n\n<p>Not sponsored, just honest results. I ran these tests on an RTX 4090 (24 GB VRAM) and a 13700K. I kept notes with timestamps and saved seeds so I could come back to the exact same look. Yes, I\u2019m that nerdy. If you&#8217;re chasing the LTX-2 best settings in ComfyUI, here&#8217;s what actually made a difference for me, and what wasted time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-5-settings-that-matter-most\">The 5 settings that matter most<\/h2>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"559\" data-id=\"4954\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51-1024x559.png\" alt=\"\" class=\"wp-image-4954 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51-1024x559.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51-300x164.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51-768x419.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51-18x10.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-51.png 1408w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/559;\" \/><\/figure>\n<\/figure>\n\n\n\n<p>Here are the five dials that kept showing up in my good results. I&#8217;m not listing everything, just the ones that consistently moved the needle. The rest? Meh, ignore for now.<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li>Sampler\/Scheduler<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>My winners: DPM++ 2M Karras for stable detail, UniPC for speed. In video tests on Jan 11, DPM++ 2M Karras reduced shimmer compared to Euler by ~12% (eyeballed across 5 side\u2011by\u2011side clips). Eyeballed, not scientific \u2014 keepin\u2019 it real.<\/li>\n<\/ul>\n\n\n\n<ol start=\"2\" class=\"wp-block-list\">\n<li>Steps<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sweet spots: 14\u201318 (fast), 22\u201328 (balanced), 32\u201340 (quality). Past ~40, returns flatten unless your prompt is very complex.<\/li>\n<\/ul>\n\n\n\n<ol start=\"3\" class=\"wp-block-list\">\n<li>CFG (guidance)<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Keep it humane: 3.5\u20135.0. Higher than ~6 pushed detail but caused flicker and &#8220;breathing&#8221; textures in motion.<\/li>\n<\/ul>\n\n\n\n<ol start=\"4\" class=\"wp-block-list\">\n<li>Denoise\/Strength (for img2vid or control ref)<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>0.55\u20130.75 for most prompts. Lower (0.45\u20130.55) if you want stability and to keep your source framing. Higher (0.75\u20130.85) if you want big motion and style changes, just expect more artifacts.<\/li>\n<\/ul>\n\n\n\n<ol start=\"5\" class=\"wp-block-list\">\n<li>Motion weight\/temporal scale (name varies by node)<\/li>\n<\/ol>\n\n\n\n<ul class=\"wp-block-list\">\n<li>0.4\u20130.7 is the lane. Lower for locked shots and product spins: higher for sweeping camera feels. Above ~0.75, I got rubbery limbs and ghosting.<\/li>\n<\/ul>\n\n\n\n<p>If you&#8217;re brand new to ComfyUI, the <a href=\"https:\/\/comfyanonymous.github.io\/ComfyUI_examples\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">official documentation<\/a> is handy for node behavior basics and workflow examples.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"604\" data-id=\"4958\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-1024x604.png\" alt=\"\" class=\"wp-image-4958 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-1024x604.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-300x177.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-768x453.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-1536x906.png 1536w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55-18x12.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-55.png 1634w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/604;\" \/><\/figure>\n<\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"presets-fast-balanced-quality\">Presets: Fast \/ Balanced \/ Quality<\/h2>\n\n\n\n<p>I ended up with three presets that covered 90% of my work. They&#8217;re not magic, just sane defaults you can branch from.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"fast-ideation-thumbnails-rough-motion\">Fast (ideation, thumbnails, rough motion)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sampler: UniPC<\/li>\n\n\n\n<li>Steps: 16<\/li>\n\n\n\n<li>CFG: 4.0<\/li>\n\n\n\n<li>Denoise: 0.65<\/li>\n\n\n\n<li>Motion weight: 0.5<\/li>\n\n\n\n<li>Result: On Jan 12 at 9:18 p.m., 24 frames at 576\u00d7320 rendered in 1m57s. Slight softening, but motion read clean.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"balanced-social-ready-decent-detail\">Balanced (social-ready, decent detail)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sampler: DPM++ 2M Karras<\/li>\n\n\n\n<li>Steps: 24<\/li>\n\n\n\n<li>CFG: 4.5<\/li>\n\n\n\n<li>Denoise: 0.6<\/li>\n\n\n\n<li>Motion weight: 0.55<\/li>\n\n\n\n<li>Result: Jan 14, 10:04 a.m., 32 frames at 768\u00d7432 in 4m38s. Good coherence, minimal flicker.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"quality-hero-shots-close-ups\">Quality (hero shots, close-ups)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Sampler: DPM++ 2M Karras<\/li>\n\n\n\n<li>Steps: 36\u201340<\/li>\n\n\n\n<li>CFG: 4.2<\/li>\n\n\n\n<li>Denoise: 0.55<\/li>\n\n\n\n<li>Motion weight: 0.45<\/li>\n\n\n\n<li>Result: Jan 15, 7:26 p.m., 48 frames at 768\u00d7432 in 9m51s. Textures hold, edges stay calm. If you push past 40 steps, expect diminishing returns.<\/li>\n<\/ul>\n\n\n\n<p>Tiny note: If your prompt includes fine patterns (fabric weaves, hair), lean quality. For wide scenic motion, balanced is usually enough.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-tune-for-motion-realism-vs-stability\">How to tune for motion realism vs stability<\/h2>\n\n\n\n<p>This is where most of my small wins came from.<\/p>\n\n\n\n<p>When I want motion realism (parallax, camera feel):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Raise denoise to ~0.7. It gives the model &#8220;permission&#8221; to move the scene.<\/li>\n\n\n\n<li>Push motion weight to ~0.6\u20130.65. Past that, artifacts climb fast.<\/li>\n\n\n\n<li>Keep CFG modest (around 4). High CFG makes frames fight the prompt on every tick, which looks like flicker.<\/li>\n\n\n\n<li>Use a slightly longer step count (24\u201328) on DPM++ 2M Karras. It smooths transitions.<\/li>\n<\/ul>\n\n\n\n<p>When I want stability (product shots, faces, UI demos):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Drop denoise to 0.5\u20130.6 so the base frame holds.<\/li>\n\n\n\n<li>Pull motion weight to ~0.4\u20130.5.<\/li>\n\n\n\n<li>Raise steps a little (28\u201332) and keep CFG ~4.5. Detail without the prompt tug-of-war.<\/li>\n\n\n\n<li>If you&#8217;re using a reference image, keep it high-res and clean. Garbage in, ghosting out.<\/li>\n<\/ul>\n\n\n\n<p>Two tiny tricks that helped on Jan 17 tests:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Warm-up frames: Render 2\u20133 extra frames and discard the first one. The first frame sometimes has a contrast jump.<\/li>\n\n\n\n<li>Prompt phrasing: Words like &#8220;handheld&#8221; or &#8220;smooth dolly&#8221; actually nudged the motion model in useful directions, subtle, but real.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"seed-strategy-for-repeatability\">Seed strategy for repeatability<\/h2>\n\n\n\n<p>I treat seeds like shot numbers.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>One seed per shot. If I change camera intent, I change the seed. Keeps me from chasing ghosts.<\/li>\n\n\n\n<li>Lock the seed across frames. In ComfyUI&#8217;s KSampler (or your<a href=\"https:\/\/github.com\/Lightricks\/ComfyUI-LTXVideo\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"> LTX-2 sampler node<\/a>), set a fixed integer so you can re-run the exact same clip a week later.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-3 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"944\" height=\"497\" data-id=\"4956\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-53.png\" alt=\"\" class=\"wp-image-4956 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-53.png 944w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-53-300x158.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-53-768x404.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-53-18x9.png 18w\" data-sizes=\"auto, (max-width: 944px) 100vw, 944px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 944px; --smush-placeholder-aspect-ratio: 944\/497;\" \/><\/figure>\n<\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Do seed sweeps when ideas stall. On Jan 13, I batched 8 seeds at otherwise identical settings. Two of them clicked instantly, six were meh. Ten minutes saved me an hour of micro-tweaks.<\/li>\n\n\n\n<li>Nudge, don&#8217;t spin: If a result is close, adjust seed by +1 or +2. It preserves composition but shakes off odd artifacts.<\/li>\n<\/ul>\n\n\n\n<p>Pro tip: Save your seed and all key settings in the ComfyUI workflow JSON. Future you will thank past you.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"resolution-fps-and-duration-trade-offs\">Resolution, fps, and duration trade-offs<\/h2>\n\n\n\n<p>Here&#8217;s the hard truth: bigger frames and longer clips multiply pain. I learned to separate &#8220;generation settings&#8221; from &#8220;delivery settings.&#8221;<\/p>\n\n\n\n<p>For generation (speed and coherence):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>576\u00d7320 or 640\u00d7360 when I&#8217;m exploring. 768\u00d7432 when I&#8217;m serious.<\/li>\n\n\n\n<li>8\u201312 fps generation is fine. I often generate at 12 fps.<\/li>\n\n\n\n<li>24\u201348 frames per pass. Longer clips increase drift and memory.<\/li>\n<\/ul>\n\n\n\n<p>Struggling with managing multiple renders, keeping your settings organized, or batching clips efficiently? At <strong>Crepal<\/strong>, we built a tool for exactly this. I personally use it to streamline LTX-2 workflows, lock seeds, batch variations, and keep my VRAM under control\u2014all without extra mental load. <a href=\"https:\/\/crepal.ai?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Try it free \u2192<\/a><\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-4 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"470\" data-id=\"4957\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54-1024x470.png\" alt=\"\" class=\"wp-image-4957 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54-1024x470.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54-300x138.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54-768x352.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54-18x8.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-54.png 1083w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/470;\" \/><\/figure>\n<\/figure>\n\n\n\n<p>For delivery (what viewers see):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Upscale after. I use an upscaler node or export frames and run an external model, then reassemble. You get crisp without taxing VRAM.<\/li>\n\n\n\n<li>Frame interpolation to 24 fps. RIFE or similar works. On Jan 16, 12\u219224 fps doubled smoothness without changing content. VRAM notes from my box (4090, Jan 15):<\/li>\n\n\n\n<li>768\u00d7432, 32 frames, steps 24 used ~14\u201316 GB VRAM.<\/li>\n\n\n\n<li>960\u00d7540 jumped above 20 GB and slowed to a crawl. Not worth it for concepting.<\/li>\n<\/ul>\n\n\n\n<p>If you must go bigger, split shots, or render tiles and stitch. But honestly, 768\u00d7432 with smart upscaling looks great on mobile and social.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"common-bad-settings-patterns\">Common &#8220;bad settings&#8221; patterns<\/h2>\n\n\n\n<p>A few traps I fell into so you don&#8217;t have to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>High CFG + high denoise = shimmer city. The model keeps &#8220;correcting&#8221; details frame to frame.<\/li>\n\n\n\n<li>Motion weight &gt;0.75 = rubber physics. Fun once, not for client work.<\/li>\n\n\n\n<li>Too few steps at high resolution. 12 steps at 960\u00d7540 looked blotchy: 24+ cleaned it up.<\/li>\n\n\n\n<li>Random seed every render. It feels creative until you need to match a previous shot.<\/li>\n\n\n\n<li>Prompt fights. Overstuffed prompts (&#8220;cinematic, ultra-detailed, sharp focus, HDR, 8k, etc.&#8221;) produced unstable textures. Short and specific wins.<\/li>\n\n\n\n<li>Generating at 24\u201330 fps directly. It&#8217;s slow, and the gains vs 12\u219224 fps interpolation are small.<\/li>\n<\/ul>\n\n\n\n<p>If you want a sanity check: drop back to the Balanced preset above, generate at 768\u00d7432 for 32 frames, seed locked, and change one thing at a time. It&#8217;s boring, but it works.<\/p>\n\n\n\n<p>If you try a variant of these settings in ComfyUI with LTX-2 and get something cool, send it my way. I&#8217;m still learning too, just trying to make the machine feel a little more like a teammate than a diva.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p><em>Ever tried to \u201cjust run one render\u201d only to get sucked into tweaking settings until 2 AM?<\/em><\/p>\n\n\n\n<p>Dump those settings into ComfyUI, fire up an LTX-2 run, then come back and tell me: Did you render a silky-smooth masterpiece, or did you end up with a \u201crubber man dance contest\u201d? Drop the link right in the comments!<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<p>Previous posts:<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"65D5htK9ZD\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-comfyui-workflows-t2v-i2v-v2v\/\">LTX-2 Workflows in ComfyUI Explained (T2V vs I2V vs V2V)<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a LTX-2 Workflows in ComfyUI Explained (T2V vs I2V vs V2V) \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-comfyui-workflows-t2v-i2v-v2v\/embed\/#?secret=it7fZIUV0i#?secret=65D5htK9ZD\" data-secret=\"65D5htK9ZD\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"qZhrCr7hHc\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-free-online-2026\/\">LTX-2 Free Online: Generate AI Videos Without Local Setup<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a LTX-2 Free Online: Generate AI Videos Without Local Setup \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-free-online-2026\/embed\/#?secret=aks6Jtb5vR#?secret=qZhrCr7hHc\" data-secret=\"qZhrCr7hHc\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"4dtNPjvuk5\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-vram-requirements\/\">LTX-2 VRAM Requirements: Can It Run on 8GB \/ 12GB \/ 24GB GPUs?<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a LTX-2 VRAM Requirements: Can It Run on 8GB \/ 12GB \/ 24GB GPUs? \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/blog-ltx-2-vram-requirements\/embed\/#?secret=F953aUi6nr#?secret=4dtNPjvuk5\" data-secret=\"4dtNPjvuk5\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Hey, my friends. I&#8217;m Dora here. On January 9, 2026, I saw yet another short clip tagged &#8220;LTX-2&#8221; on my feed, buttery camera pan, zero wobble, and I had that itch. I opened ComfyUI at 11:42 p.m., told myself I&#8217;d &#8220;just try one render,&#8221; and of course my cat judged me at 2 a.m. while [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":4955,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"categories":[8],"tags":[],"class_list":["post-4953","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aivideo"],"blocksy_meta":[],"uagb_featured_image_src":{"full":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52.png",1376,768,false],"thumbnail":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52-150x150.png",150,150,true],"medium":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52-300x167.png",300,167,true],"medium_large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52-768x429.png",768,429,true],"large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52-1024x572.png",1024,572,true],"1536x1536":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52.png",1376,768,false],"2048x2048":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52.png",1376,768,false],"trp-custom-language-flag":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/01\/image-52-18x10.png",18,10,true]},"uagb_author_info":{"display_name":"Dora","author_link":"https:\/\/crepal.ai\/blog\/author\/dora\/"},"uagb_comment_info":4,"uagb_excerpt":"Hey, my friends. I&#8217;m Dora here. On January 9, 2026, I saw yet another short clip tagged &#8220;LTX-2&#8221; on my feed, buttery camera pan, zero wobble, and I had that itch. I opened ComfyUI at 11:42 p.m., told myself I&#8217;d &#8220;just try one render,&#8221; and of course my cat judged me at 2 a.m. while&hellip;","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/4953","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=4953"}],"version-history":[{"count":1,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/4953\/revisions"}],"predecessor-version":[{"id":4960,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/4953\/revisions\/4960"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media\/4955"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=4953"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/categories?post=4953"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/tags?post=4953"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}