{"id":5774,"date":"2026-03-24T19:46:27","date_gmt":"2026-03-24T11:46:27","guid":{"rendered":"https:\/\/crepal.ai\/blog\/?p=5774"},"modified":"2026-10-28T18:00:09","modified_gmt":"2026-10-28T10:00:09","slug":"how-to-install-ltx-2-3-comfyui","status":"publish","type":"post","link":"https:\/\/crepal.ai\/blog\/aivideo\/how-to-install-ltx-2-3-comfyui\/","title":{"rendered":"How to Install LTX 2.3 in ComfyUI: Step-by-Step Guide"},"content":{"rendered":"\n

Hello fellows! This is Dora \u2014 and recently I finally cracked the clean install sequence for LTX 2.3. I’d spent two hours on a broken node graph. Right package version, wrong folder. Right folder, missing VAE. Right VAE, wrong ComfyUI build. When it finally rendered a clean 9-frame clip, I immediately wrote down every exact step so I’d never have to do that again.<\/p>\n\n\n\n

The blog below explains no vague tips but every command, every folder path, every error I hit and how I fixed it. Let’s get into it.<\/p>\n\n\n\n

Prerequisites (ComfyUI version and model storage)<\/h2>\n\n\n\n

Update ComfyUI before opening an LTX-2.3 workflow. In the Template Library, go to Video and select LTX-2.3 T2V<\/strong> or LTX-2.3 I2V<\/strong>. Follow the workflow\u2019s prompts to download any missing models.<\/p>\n\n\n\n

ComfyUI\u2019s LTX-2.3 workflow page lists the required model files and folders, but does not give one universal VRAM minimum or total disk-space requirement for every setup. Check the selected workflow and your available storage before downloading; do not treat the old 0.9.x figures as LTX-2.3 requirements.<\/p>\n\n\n\n

Check your ComfyUI build version<\/strong> before proceeding. Open ComfyUI’s terminal and run:<\/p>\n\n\n\n

cd ComfyUI\ngit log --oneline -1<\/code><\/pre>\n\n\n\n
If the commit date is before January 2026, update first:<\/p>\n\n\n\n
git pull origin master\npip install -r requirements.txt<\/code><\/pre>\n\n\n\n
Step 1 \u2014 Update ComfyUI and open a native workflow<\/strong><\/p>\n\n\n\n
The native LTX-2.3 templates do not require installing ltx-core<\/code>, ltx-pipelines<\/code>, or a separate LTX custom-node pack. Update ComfyUI, open Template Library \u2192 Video<\/strong>, and choose LTX-2.3 T2V<\/strong> or LTX-2.3 I2V<\/strong>. Follow the prompts to download the workflow\u2019s model files.<\/p>\n\n\n\n
If an LTX-2.3 template is missing, ComfyUI may need an update. If a workflow opens with missing core nodes, the latest Nightly may be required; some nodes may not yet be included in the latest stable release. Check ComfyUI\u2019s startup output for core-node import errors.<\/p>\n\n\n\n
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If you use the ComfyUI portable package (Windows):<\/em><\/p>\n\n\n\n
# Navigate to your ComfyUI portable folder first\ncd C:\\ComfyUI_windows_portable\npython_embeded\\python.exe -m pip install ltx-core ltx-pipelines<\/code><\/pre>\n\n\n\n
If you use a venv or <\/em>conda<\/em> environment:<\/em><\/p>\n\n\n\n
# Activate your environment first\nconda activate comfyui   # or: source venv\/bin\/activate\npip install ltx-core ltx-pipelines<\/code><\/pre>\n\n\n\n
Verify the <\/strong>install<\/strong> worked:<\/strong><\/p>\n\n\n\n
python -c \"import ltx_core; print(ltx_core.__version__)\"\n# Should print: 0.9.2 or higher\npython -c \"import ltx_pipelines; print('OK')\"<\/code><\/pre>\n\n\n\n
If you get ModuleNotFoundError<\/code> on the verification step, you installed the wrong Python. Re-read the step above and confirm which python<\/code> executable is actually running ComfyUI.<\/p>\n\n\n\n
Step 2 \u2014 Download LTX 2.3 Weights<\/strong><\/p>\n\n\n\n
Dev (bf16) vs Distilled model \u2014 which to get<\/h3>\n\n\n\n
I’ve run both through hundreds of generations. Here’s the real tradeoff:<\/p>\n\n\n\n
<\/td>Dev (bf16)<\/td>Distilled<\/td><\/tr>
File size<\/td>~27 GB<\/td>~14 GB<\/td><\/tr>
Inference steps<\/td>40\u201350<\/td>6\u20138<\/td><\/tr>
Generation time (4090)<\/td>~4 min\/clip<\/td>~45 sec\/clip<\/td><\/tr>
Motion quality<\/td>High<\/td>Moderate<\/td><\/tr>
Complex scenes<\/td>Excellent<\/td>Struggles<\/td><\/tr>
Prompt iteration<\/td>Slow<\/td>Fast<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
My actual <\/strong>workflow<\/strong>: I use distilled for prompt exploration (testing 10\u201315 prompt variations quickly), then switch to dev for the final output I’ll publish. If you have a 12 GB GPU, start with distilled only.<\/p>\n\n\n\n
Where to download (HuggingFace, GitHub monorepo)<\/h3>\n\n\n\n
All official weights are hosted on HuggingFace<\/strong> by Lightricks:<\/p>\n\n\n\n
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