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ComfyUI Workflow · Beginner Friendly · 2026

LTX-2 Text to Video in ComfyUI: Generate Realistic AI Videos from Text Prompts

Download the free LTX-2 T2V workflow, install the required models, and start generating high-quality AI videos from text prompts — all inside ComfyUI.

By ComfyUI Tutorials Team12 min read
LTX-2 Text to Video workflow running in ComfyUI — example AI video generated from a text prompt

What is LTX-2 Text to Video (T2V)?

Quick answer: LTX-2 T2V is an AI model for ComfyUI that generates smooth, realistic videos directly from text prompts — no source image required. It supports animation, realistic footage, cinematic camera movement, and custom LoRA-based camera control.

The LTX-2 T2V model lets you turn simple text prompts into high-quality AI videos. It is designed for both beginners and advanced users, capable of producing everything from animated cartoon scenes to photo-realistic footage with cinematic motion.

Key Features of LTX-2 Video

  • High realism: Generates lifelike motion, facial animation, and scene dynamics from text alone.
  • Versatile output: Supports cartoon animation, realistic footage, ASMR-style scenes, and cinematic renders.
  • Camera control LoRA: Add the dolly LoRA for smooth, controlled camera movement in any direction.
  • Spatial upscaling: Built-in 2x latent upscaler produces sharper, higher-resolution output.
  • Native ComfyUI integration: Runs entirely locally — no cloud API, no subscription.
💡 Tip: Want to animate an existing image instead of generating from text? LTX-2 Image to Video (I2V) in ComfyUI →

Example Outputs & Prompts

Here are four real examples generated with the LTX-2 T2V workflow. Each shows the output video and the exact prompt used.

Cartoon Puppet Singing on a Disco Stage

Prompt used

colorful, animated puppet character performing on a disco stage with a glowing disco ball overhead and moving colorful lights. The puppet has big button eyes, a wide fabric mouth, and playful, exaggerated movements. Lighting is bright, energetic, and fun.

The camera holds a medium shot as the puppet grabs a microphone and starts singing with clear lip-sync and bouncy, cartoon-style motion.

The puppet sings:
🎵 "Clap your hands, spin around,
Dancing feet won't touch the ground!
Shake it left and shake it right,
Puppet party every night!" 🎵

While singing, the puppet dances, wiggles its body, points the microphone toward the camera, and spins happily under the disco ball. Its eyes blink dramatically, its head bobs to the beat, and its mouth opens and closes in an exaggerated, comedic way.

The scene ends with the puppet striking a silly pose, holding the mic high as the disco lights flash.

Warm, Cozy ASMR Scene with Cinematic Micro-Movements

Prompt used

A calm, cozy indoor scene with soft natural lighting and warm color tones. The camera shows a young woman sitting at a small wooden desk, gently tapping, brushing, or handling soft objects like paper, fabric, or brushes. Her movements are slow, deliberate, and soothing.

The camera alternates between close-ups of hands and face, showing realistic blinking, subtle head tilts, and gentle expressions. Ambient sounds like soft tapping, brushing, and light background music accompany the scene (for ASMR effect).

The overall atmosphere is relaxing and immersive, with slight cinematic micro-movements for realism. Background objects are softly blurred, with smooth depth of field, creating a cozy, peaceful vibe. Colors are warm and soft, no harsh contrasts, with natural textures.

The scene ends with the woman giving a gentle smile and looking at the camera, while continuing the slow, relaxing motions.

Realistic Woman Speaking in a Flower Garden

Prompt used

A realistic video of a confident, attractive young woman walking slowly through a bright flower garden in daylight. The scene is colorful and natural, with soft pink, white, yellow, and lavender flowers. Lighting is natural and even.

The camera tracks her in a medium shot as she walks forward, with a gently blurred floral background for depth. Her movement is smooth and realistic, with natural posture and arm motion.

She looks toward the camera and speaks clearly in natural English, with accurate lip-sync and facial movement. She says exactly:
"This video is created using LTX-2 Text to Video."
"This video is created using LTX-2 Text to Video."

She makes subtle hand gestures and natural facial expressions while talking. Hair and clothing move naturally as she walks.

The clip ends as she slows, faces the camera, and smiles confidently.

Photo-Realistic Toy Girl 3D Render with Cinematic Motion

Prompt used

A photo-realistic 3D render of a human-like toy girl standing on a wooden table in soft daylight. She looks like a realistic collectible doll, with plastic skin texture, subtle surface imperfections, and detailed clothing fabric. Her facial features are gentle and expressive, blending realism with a toy-like design.

The camera begins in a medium shot and slowly moves closer, revealing fine details such as light reflections on her plastic skin, stitched clothing edges, and realistic shadows. Her head turns slightly, and she makes small, natural movements like blinking and a soft smile, giving the toy a lifelike presence.

The environment is simple and relatable — everyday objects like books or small props are visible in the background, slightly out of focus, reinforcing the scale of the toy. Lighting is soft and natural, with realistic reflections and depth of field.

The motion is slow and cinematic, emphasizing photo-real 3D quality, material realism, and experimental lifelike animation.

The scene ends with the toy girl looking toward the camera, holding a gentle pose as light softly wraps around her.

Step-by-Step Setup Guide

Follow these steps to install and configure LTX-2 T2V in ComfyUI from scratch.

Step 1 — Update ComfyUI

Update via the update folder

Go to your ComfyUI_windows_portable\update folder and double-click update_comfyui to update to the latest version.

ComfyUI update folder showing the update_comfyui script used to update ComfyUI to the latest version
Run update_comfyui from the update folder

Update all nodes via Manager

Launch ComfyUI, open the Manager, and click 'Update all' to update every installed custom node.

ComfyUI Manager panel showing the Update All button to update all installed custom nodes
Open Manager → Update all nodes

Switch to v0.8.1 or higher

Click Switch Version in ComfyUI. Ensure version is v0.8.1 or higher.

ComfyUI Switch Version dialog with version selector set to v0.8.1 or higher
Switch Version — use v0.8.1 or higher

Set channel to dev / nightly

Confirm your channel is set to dev and the update version is ComfyUI nightly for the latest compatibility.

ComfyUI channel settings showing dev channel selected with ComfyUI nightly update version
Set channel to dev — update version to ComfyUI nightly

Step 2 — Download Required Models

Download all four model types below:

Step 3 — Place Model Files in the Correct Folders

Organize your model files exactly as shown below:

ComfyUI/ └── models/ ├── checkpoints/ │ ├── ltx-2-19b-dev.safetensors │ └── ltx-2-19b-dev-fp8.safetensors ← use this one ├── text_encoders/ │ └── gemma_3_12B_it_fp8_e4m3fn.safetensors ├── loras/ │ ├── ltx-2-19b-distilled-lora-384.safetensors │ └── ltx-2-19b-lora-camera-control-dolly-left.safetensors └── latent_upscale_models/ └── ltx-2-spatial-upscaler-x2-1.0.safetensors

Step 4 — Load the LTX-2 T2V Workflow in ComfyUI

Download the workflow below and drag it into the ComfyUI canvas. Alternatively, use the Templates menu inside ComfyUI and select the LTX-2 Text to Video template.

After loading, confirm these two nodes are set correctly:

CKPT_name

Should be set to ltx-2-19b-dev-fp8.safetensors

LTXV audio text encoder loader

Should be set to gemma_3_12B_it_fp8_e4m3fn.safetensors

LTX-2 T2V subgraph node in ComfyUI showing the CKPT_name field set to ltx-2-19b-dev-fp8.safetensors
CKPT_name node
ComfyUI LTXV audio text encoder loader node showing gemma_3_12B_it_fp8_e4m3fn.safetensors selected
Text encoder loader node

Step 5 — Run Your First Generation

Enter your text prompt

Type a detailed description of the video you want to generate in the workflow's prompt box. Include motion, lighting, camera direction, and scene details for the best results.

Click Queue Prompt

Click 'Queue Prompt' to run the workflow. The generated video will be saved to your ComfyUI output folder automatically.

Tips and Troubleshooting

Out-of-memory (OOM) error during generation

Fix: Open run_nvidia_gpu.bat in Notepad and change the launch line to include --reserve-vram 4. Lower this to 3, 2, or 1 on lower-end GPUs.

Full command to paste into run_nvidia_gpu.bat:

.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build --reserve-vram 4 --preview-method none --async-offload --disable-pinned-memory pause

Still getting memory errors after adjusting VRAM reserve

Fix: Increase your Windows page file size. See this guide: How to Change Pagefile Size. Restart your computer afterward.

Red nodes after importing the workflow

Fix: Open the ComfyUI Manager and click "Install missing custom nodes". Install all required nodes and restart ComfyUI.

Low-quality or inconsistent video output

Fix: Write more detailed prompts — include specific motion direction, lighting style, camera angle, and scene description. Longer, more descriptive prompts generally produce better results with LTX-2.

Model files not appearing in dropdowns

Fix: Double-check all files are placed in exactly the right sub-folder. Refresh your browser after adding new files to update ComfyUI's model list.

⚠️ Warning: Always confirm ComfyUI is updated to v0.8.1 or higher. Version mismatches between ComfyUI and model files are a common cause of silent failures.
Still stuck? ComfyUI Troubleshooting Guide → covers a full list of errors and fixes across all workflow types.

Frequently Asked Questions

LTX-2 T2V is a generative AI model that creates smooth, realistic videos from text prompts inside ComfyUI. It supports cartoon animation, realistic footage, cinematic camera movement, and custom LoRA-based camera control.

You need: ltx-2-19b-dev-fp8.safetensors (checkpoint), gemma_3_12B_it_fp8_e4m3fn.safetensors (text encoder), ltx-2-19b-distilled-lora-384.safetensors and ltx-2-19b-lora-camera-control-dolly-left.safetensors (LoRAs), and ltx-2-spatial-upscaler-x2-1.0.safetensors (latent upscaler).

LTX-2 T2V requires ComfyUI v0.8.1 or higher. Use Switch Version in ComfyUI and set the channel to dev with ComfyUI nightly for the latest compatibility.

Open run_nvidia_gpu.bat in Notepad and add --reserve-vram 4 to the launch command. Lower this to 3, 2, or 1 on lower-end GPUs. You can also increase your Windows page file size for additional headroom.

Place the checkpoint in ComfyUI/models/checkpoints/, the text encoder in ComfyUI/models/text_encoders/, LoRA files in ComfyUI/models/loras/, and the upscaler in ComfyUI/models/latent_upscale_models/.

Conclusion

The LTX-2 T2V workflow for ComfyUI is one of the most capable ways to generate AI video from text prompts locally. Its realistic output, flexible prompt support, and easy ComfyUI integration make it suitable for both beginners and advanced users.

Download the workflow, set up the models using the guide above, and start experimenting with different prompts. The more detail and direction you give in your prompt, the more cinematic and controlled your output will be.

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