u/ltx_model

The new LTX Trainer is live and we want to see you jam on it. Train a LoRA or IC-LoRA with LTX, show what it can do, and go head to head across five categories. You get three weeks on the clock, with real hardware and cash prizes on the line.

Here's how it works:

Train your own LoRA or IC-LoRA using the LTX Trainer. Generate a video that shows it in action. Then submit the weights, your demo video, and a short writeup of what it does and how you trained it.

One requirement: entries must be trained with the LTX Trainer and on LTX-2.3. LoRAs trained on other tools aren't eligible, so make sure that's the trainer you build with.

This is your chance to push the new LTX Trainer as far as it'll go. We've built a lot more capability into the trainer. Now show us what you can do with it.

Five categories:

• Utility — deblur, decompress, face replacement, obstruction removal, edit-anything
• VFX — water sim, de-aging, 360 video, cinematic effects
• Creative & Fun — style transfers, anime to real, the weird stuff
• Audio LoRAs — lipdub, music dub, synced audio-video. This is the one we're most excited to see.
• Control — reference conditioning, IC-LoRAs, motion and camera control

What you submit:

• Your trained LoRA / IC-LoRA weights (files up to ~1.5GB)
• A video demonstrating the model
• A short description: what it does, the category you're entering, and how you built your dataset

Prizes:

All winning LoRAs and IC-LoRAs will be featured on a new LTX Hugging Face Community Collection.

• 4× NVIDIA GeForce RTX 5090 (Utility, VFX, Control, Audio)
• 2× $1,000 gift cards (Creative, Community Choice)
• 30× $100 gift cards

Judging:

• Category and overall winners are picked by our judging panel
• Community's Choice is decided by your votes in the LoRA Jam channel on the LTX Discord.

The panel rewards technical quality, and the community rewards whatever you love the most.

Timeline:

• Registration is open now through July 27
• Submission deadline: July 27 
• Winners announced: August 3 
• Solo submissions only, one entry per person.

 

If you've been meaning to train your first LoRA on LTX, this is a good excuse to start. A deadline and a category to aim at is good creative fuel.

Register on the contest page and you'll get a personal upload link to submit your entry:

https://ltx.io/competition/lora-jam

We're shipping a major update to the LTX Trainer today.

The core change is a new flexible conditioning strategy that replaces the old text-to-video and image-to-video strategies. Instead of choosing a script per task, you describe what's being generated, what's conditioning, and what conditions to apply in a config, and one training run handles the rest. You can mix I2V and T2V in the same run, and images and videos can now coexist in the same dataset.

All the modes, one config format

• Video: T2V, I2V, extension (forward and backward), inpainting, outpainting
• Audio: T2A, audio extension, audio inpainting
• Cross-modal: audio-to-video, video-to-audio (foley)
• IC-LoRA control adapters: V2V, A2A, AV2AV

Each ships as a ready-made example config. Copy the one closest to what you need, point it at your data, train. The conditions can also be combined and mixed. Several can be combined on one modality, so one run can teach more than one behavior.

As always, the output is a standard .safetensors that loads in ltx-pipelines or a ComfyUI node. The standard trainer config runs on a single 80GB GPU; there's also a low VRAM config for smaller setups. Multi-GPU is also an option.

New: An agentic skill

Alongside the trainer we're releasing an agent that runs in Claude Code and guides you from a plain-language description of what you want to a finished training run.

You tell it what you're trying to train: a style, a subject, a motion, a sound. It recommends a mode, inspects your dataset, generates captions, writes the config, and launches the run. It pauses and explains before any compute-heavy step so you stay in control and can learn as you go.

If you've been wanting to try training a LoRA but found the learning curve a little steep, this agent is for you.

New IC-LoRAs to try

We've also released a set of new IC-LoRAs that cover restoration, VFX, relighting, scene consistency, and several creative edits. Pick the one that matches your task and go.

Restore and enhance

• Colorization: adds natural color to grayscale, monochrome, or desaturated video; only the color changes.
• Decompression: clears compression artifacts (macroblocking, banding, ringing) out of low-bitrate footage.
• Deblurring: recovers sharpness from out-of-focus video (spatial defocus, not motion blur).
• Inpainting/Outpainting: fills masked regions or extends the frame, so you can change aspect ratios or paint out unwanted areas.

Add and transform

• Water Simulation: adds rivers, surf, rain, splashes, and wet-surface reflections to a dry clip.
• Day to Night: re-renders a daytime shot as night, frame for frame, with the night style set by your prompt.

Edit the subject

• Instant Shave: removes beards, mustaches, and stubble while keeping identity, expression, and lighting intact.
• Cross-Eyed: crosses the eyes in close-up portraits for a comedic or stylized effect.

Keep things consistent

• Ingredients: conditions generation against a reference sheet so the same characters, props, and locations carry across clips.

All of them are live now: grab them from the LTX-2.3 Creative Lab collection on HuggingFace.

Yours to keep

Open weights mean the model and anything you train on top of it are yours to keep, run, and share. We can't wait to see what you make with it.

Trainer on GitHub: https://github.com/Lightricks/LTX-2/tree/main/packages/ltx-trainer
Documentation: https://github.com/Lightricks/LTX-2/tree/main/packages/ltx-trainer/docs

Today we're releasing a beta of LipDub, a new open-source lipsync capability built on LTX.

LipDub is an IC-LoRA adapter that takes an existing video and replaces the dialogue by regenerating speech and lip motion together in a single pass. Give it a source video and a text prompt with your new dialogue, and it preserves everything except the lip region: the speaker's appearance, vocal identity, tone, and delivery.

This beta includes:

• 1080p Full HD output
• Up to 8-second clips
• Single-speaker support
• Validated languages: English, French, Spanish, German, and Russian.

What you can do with it:

• Dub into another language
• Rephrase or replace dialogue in the original language
• Talking-head generation workflows

Links:

• HuggingFace: https://huggingface.co/Lightricks/LTX-2.3-22b-IC-LoRA-LipDub
• ComfyUI workflow: https://github.com/Lightricks/ComfyUI-LTXVideo/blob/master/example_workflows/2.3/LTX-2.3_ICLoRA_Lipdub_Two_Stage_Distilled.json
• Python pipeline: https://github.com/Lightricks/LTX-2/blob/main/packages/ltx-pipelines/src/ltx_pipelines/lipdub.py
• Documentation: https://docs.ltx.video/open-source-model/usage-guides/lip-dub-beta

This is an early open-source beta release. We're putting it in the community's hands before the API ships. Please explore it, break it, build with it, and let us know what you find.

LipDub is grounded in our research paper, Video Dubbing via Joint Audio-Visual Diffusion, from researchers at Lightricks and Tel Aviv University, which goes into why joint audio-visual generation outperforms modular pipelines.

No new features this update. Just a lot of community-reported bugs squashed, and a better version of what's already there.

Performance & compatibility

The 16 GB VRAM optimization from 1.0.3 was applied to everyone, including users with 32 GB+ GPUs who didn't need it. That optimization traded speed for lower memory use and wasn't helpful if you have plenty of VRAM. Now the optimization only activates on GPUs that actually need it. If you have a more powerful card and noticed 1.0.3 felt slower, this is the fix.

macOS users who didn't have FFmpeg pre-installed couldn't launch the app at all. That's fixed. No external dependencies required now.

Video Editor (multiple fixes)

The video editor got the most attention this cycle:

• Gap fill generations were broken in a previous update. Working again.
• Drag-and-drop for pure audio tracks was broken. Restored.
• You could accidentally drop video assets onto audio tracks. Blocked.
• Source monitor now has a loop button.
• Lasso selection: scrolls properly when you drag past panel bounds, and works from gap fill areas.
• Text clips were showing video clip properties in the panel. Now shows the right ones.
• Panel resizing actually responds on the first attempt when entering the editor.
• Custom asset bins work now (they didn't).
• Gap fill properties (resolution, FPS, duration) now stay in sync with GenSpace.

Local generation

A2V generations were locked to landscape aspect ratio and a few specific resolutions. That limitation was unnecessary, so we removed it. Generate in whatever aspect ratio you need.

UX

• Text encoder download had misleading progress UI. Replaced with a real progress bar.
• Setting an API key on first launch didn't update the UI to reflect it. Fixed.
• "Insufficient funds" errors from the LTX API now include a button that takes you directly to the credits page.
• Some backend launch failures showed a blank error with a retry button that did nothing. Now shows an actual error message.
• Removed settings that weren't connected to anything.
• Added volume control on GenSpace asset thumbnails (two of you asked for this, done).

Under the hood

The app's version is now logged on startup in the log files. When you file a bug report, this makes it easier for us to triage.

Update downloads automatically.

New here? Download from GitHub.
Issues: GitHub
Discuss: Discord