Configure LTX 2.3 in ComfyUI

Demo summary
The creator walks through the ComfyUI node setup for LTX 2.3, explaining the GGUF model loader, VAE settings, and how to adjust resolution and frame counts for optimal rendering.
Step-by-step
- Select the downloaded model in the GGUF model loader node
- Press the R key on your keyboard to refresh node definitions if you added models while ComfyUI was running
- Connect the Dual Clip text encoder to transform prompts into latent data
- Configure the Video VAE and Audio VAE nodes to decode the latent space into pixels and sound
- Set the video resolution to a value divisible by 32
- Calculate the frame count by multiplying the desired seconds by the FPS and adding 1 (e.g., 121 for 5 seconds at 24 FPS)
- Enter the generation subgraph to monitor the sampling stages
- Define the output file path and naming convention in the Save node
Options
- Use Distilled LoRA to speed up workflow and improve quality
- Add additional LoRA nodes for custom style adjustments
- Adjust resolution up to Full HD depending on GPU capacity
Watch out for
- Resolution must be divisible by 32 to avoid blurry edges or artifacts
- If a model loader says 'undefined', the model file is in the wrong folder
- The frame count must include an extra frame (result + 1) to prevent the last frame from looking weird due to temporal rendering
Tips
- Start with a low resolution if you have an older graphics card
- Use the GGUF model loader for the primary video model as it handles the heavy lifting
- Organize sampling stages into subgraphs to make the workflow visually easier to manage
All demos from “LTX 2.3 - The New KING Of UNCENSORED AI VIDEO”
0:594:52Configure LTX 2.3 in ComfyUICurrentThe creator walks through the ComfyUI node setup for LTX 2.3, explaining the GGUF model loader, VAE settings, and how to adjust resolution and frame counts for optimal rendering.ComfyUI· AI Animation Generator
6:043:25Text-to-Video generation with LTX 2.3The video demonstrates generating a 7-second video from a detailed text prompt describing a woman at a zoo, showing how the model handles specific dialogue and character actions.ComfyUI· Text to Video
10:194:27Image-to-Video with LTX 2.3The creator demonstrates bringing a static image of a vampire warlord to life by using an image input node and a descriptive prompt to guide the animation and environmental effects.ComfyUI· Image to Video
14:523:11Lip-syncing audio to images with LTX 2.3The tutorial shows how to upload an MP3 file and a character image to generate a lip-synced video, including a demonstration of the voice isolation subgraph in ComfyUI.ComfyUI· AI Lip Sync Generator- Watch “LTX 2.3 - The New KING Of UNCENSORED AI VIDEO” →
AI Animation Generator
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29:151:33Running HunyuanVideo with GGUF (Low VRAM)The video shows how to use the GGUF loader node to run a compressed version of HunyuanVideo 1.5, enabling video generation on GPUs with as little as 6GB of VRAM.AI Search
0:594:52Configure LTX 2.3 in ComfyUICurrentThe creator walks through the ComfyUI node setup for LTX 2.3, explaining the GGUF model loader, VAE settings, and how to adjust resolution and frame counts for optimal rendering.AIKnowledge2Go
1:230:41Setting up LTX-2.3 in ComfyUIThe creator demonstrates how to browse templates in ComfyUI, search for LTX 2.3, and download the required missing models for the text-to-video workflow.MDMZ
13:071:21Applying LoRA to Wan 2.2 video generationThe video shows how to integrate a LoRA (Low-Rank Adaptation) into a Wan 2.2 workflow to achieve specific cinematic movements like a face zoom.pixaroma
31:133:44Text-to-video with LTX-2The video walks through setting up the LTX-2 model in ComfyUI to generate high-resolution video clips from text prompts and images.pixaroma
39:075:27Cloud-based ComfyUI on RunPod/RunHubThe video shows how to run complex video workflows in the cloud using RunHub AI, demonstrating the interface and execution of InfiniteTalk and Wan 2.2 without local hardware.pixaroma
2:351:46Configure Infinite Talk models in ComfyUIThe creator demonstrates how to organize the necessary models within the ComfyUI workflow, including the Lightning LoRA, quantized Infinite Talk UNET models, and the Wan 2.1 VAE and Clip Vision nodes.Aiconomist
11:060:26Combining audio, images, and promptsA demonstration of layering a specific action prompt (patting stomach) over a specific audio timestamp to create a fully directed AI scene.What Dreams Cost
ComfyUI