The LTX 2.3 Text-to-Video Workflow is powered by the latest LTX 2.3 model, delivering a significant upgrade over earlier LTX2 versions. This model introduces sharper visual detail, stronger prompt adherence, cleaner audio generation, and improved portrait video performance, making it ideal for creating expressive, character-driven video content directly from text.
With just a short descriptive prompt, this workflow can generate high-definition videos complete with synchronized audio, allowing characters to speak or perform actions exactly as described in your prompt.
Key Improvements in LTX 2.3
🔍 Sharper Visual Detail
Produces clearer textures and refined visual quality compared to previous LTX models.
🧠 Improved Prompt Understanding
Enhanced prompt adherence ensures more accurate interpretation of scene descriptions, actions, and dialogue.
🎧 Cleaner Audio Generation
Creates more natural and clearer voice output for dialogue or narration.
👤 Enhanced Portrait Video Capability
Excels at generating talking-head style videos, making it ideal for AI presenters, characters, and storytelling.
Optimized Workflow Performance
This workflow integrates a free LTX text encoder API, which offloads the heavy processing normally required for text encoding. This provides several benefits:
- Reduced GPU load
- Faster generation times
- Smoother overall workflow performance
Instructions for obtaining the free API key
GO TO https://console.ltx.video
When you login with the above link you can create one like this

After copy that API in workflow field
How to Use
- Write a short descriptive prompt describing the scene, action, or dialogue
- Run the workflow
- Generate a HD video with synchronized audio
Ideal Use Cases
- AI presenters and talking avatars
- Story-driven video content
- Character dialogue generation
- Educational and explainer videos
- Creative text-to-video experiments
The LTX 2.3 Text-to-Video Workflow brings the newest advancements in AI video generation into ComfyUI—combining sharp visuals, accurate prompt interpretation, and natural audio output in a fast and efficient workflow.
