OpenCake now supports LTX 2.3 in AI Models. For creators, marketers, founders, agencies, and product teams, that means one of the most interesting open-source AI video models is now available inside the same workflow where you already manage prompts, references, generated clips, captions, cleanup tools, and your Library.
LTX 2.3 matters because it is not only another text-to-video model. It is a production-focused open-source video engine built for faster iteration, sharper visual detail, stronger image-to-video motion, audio-conditioned generation, native portrait output, and longer clips where supported.
Read the source model notes and technical positioning from LTX: LTX 2.3 official model page
What is LTX 2.3?
LTX 2.3 is an AI video model from LTX for generating and editing video from different kinds of inputs. It supports text-to-video, image-to-video, audio-to-video, and video workflows depending on the interface or provider route. LTX describes the model as open source and designed to be built on, with local, API, and commercial deployment paths.
The model is designed for creators who need control over motion, composition, style, camera behavior, and continuity. In practical terms, it is useful when you want to explore a video idea quickly without giving up too much detail or prompt control.
Why LTX 2.3 is special
- Open source foundation: LTX provides access to model weights and code, which makes LTX 2.3 important for teams that care about transparency, local workflows, and avoiding complete platform lock-in.
- Native portrait video: LTX says LTX 2.3 can generate vertical video up to 1080x1920 from portrait-trained data rather than simply cropping landscape output.
- Longer clips: LTX 2.3 supports generation up to 20 seconds where supported, which is useful for ad concepts, social clips, and longer motion tests.
- Sharper details: LTX highlights improved fine detail, including textures, hair, text, and edges through an updated visual pipeline.
- Better prompt adherence: LTX says the model uses a larger text connector, helping complex prompts with multiple subjects, spatial relationships, and style instructions resolve more accurately.
- Stronger image-to-video: LTX 2.3 is designed to reduce frozen outputs and simple Ken Burns motion, creating more useful movement from a starting image.
- Cleaner audio: LTX points to filtered training data and a new vocoder for fewer artifacts and tighter alignment in audio-aware workflows.
What OpenCake released
OpenCake added LTX 2.3 as a video model inside AI Models. Instead of making users manage separate provider dashboards, parameters, outputs, and file handling, OpenCake exposes LTX 2.3 through the normal composer, credit quote, generation, and Library workflow.
- Text to video: write a prompt and generate a clip from scratch.
- Image to video: add a product image, character still, campaign frame, or visual reference and animate it.
- Audio to video: use audio direction when the motion, pacing, or scene should be shaped by sound.
- Fast and Pro flows: choose faster iteration or higher-fidelity generation depending on the job.
- Resolution and duration controls: use the in-app quote to see how settings affect credits before generation.
- Library workflow: save the best LTX 2.3 outputs, reuse them as references, add captions, remove audio, upscale, or continue into another model.
Who should use LTX 2.3?
Use LTX 2.3 when you want a flexible AI video model for concept exploration, product videos, vertical clips, image animation, audio-led scenes, or open-source model experimentation. It is especially useful when you want to test several directions quickly and keep the strongest outputs organized in one creative workspace.
| Use case | Why LTX 2.3 helps |
|---|---|
| Product image to video | Animate a clean product frame into a short motion concept for ads, PDP media, or social tests. |
| Vertical social content | Native portrait support makes it relevant for TikTok, Reels, Shorts, and paid social creative. |
| Audio-led scenes | Audio-to-video support helps when voice, music, or sound effects should shape timing and motion. |
| Longer AI video tests | Up to 20 second clips where supported gives more room for product demos, scene beats, and story structure. |
| Open-source workflows | Teams can evaluate an open model while still using OpenCake for generation, asset storage, and iteration. |
How to use LTX 2.3 in OpenCake
- Open AI Models in the OpenCake dashboard.
- Choose LTX 2.3 from the video models.
- Start with text only, or attach an image or audio reference when the idea needs one.
- Pick the flow, duration, resolution, and other controls that match the test.
- Check the credit quote before generating.
- Save useful outputs to the Library so they can be reused in captions, cleanup, image-to-video, or future campaign workflows.
LTX 2.3 vs closed AI video models
Closed AI video models can be excellent, but they usually hide the model layer. LTX 2.3 is different because the open-source path matters. For builders and technical teams, model access makes it easier to study the system, test local deployment, build internal pipelines, and reason about long-term workflow ownership.
For non-technical creators, the open-source angle still matters because it can lead to faster ecosystem development, more integrations, more transparent model behavior, and fewer workflow dead ends. OpenCake focuses on making that power usable without requiring every creator to run model infrastructure directly.
High-intent questions about LTX 2.3
Is LTX 2.3 open source?
Yes. LTX presents LTX 2.3 as an open-source model with access to weights and code. Their official page also describes local and on-prem deployment options, plus licensing paths for larger commercial deployments.
Can LTX 2.3 make vertical video?
Yes. LTX says LTX 2.3 supports native portrait generation up to 1080x1920, trained on portrait-orientation data rather than simply cropping landscape video.
Can LTX 2.3 turn images into video?
Yes. Image-to-video is one of the most practical LTX 2.3 workflows. In OpenCake, that means you can start from a product image, campaign still, actor frame, app screenshot, food photo, packaging image, or visual concept and generate motion from it.
Can LTX 2.3 use audio?
Yes. LTX 2.3 includes audio-to-video workflows where voice, music, or sound effects can influence structure, pacing, and motion. This is useful for scenes where timing matters more than a silent visual test.
How long can LTX 2.3 videos be?
LTX lists support for clips up to 20 seconds in the LTX 2.3 generation flows. In OpenCake, available duration options may depend on the selected flow, provider route, and current model limits.
Is LTX 2.3 good for product ads?
Yes, especially for early creative testing. LTX 2.3 is useful for turning product images into motion, testing vertical ad concepts, creating short visual hooks, and exploring multiple scene directions before committing to a final campaign workflow.
The bottom line
LTX 2.3 is special because it combines practical video-generation features with an open-source model foundation. In OpenCake, it becomes easier to use: choose LTX 2.3, attach the right references, generate, save the result, and keep building from the same Library instead of scattering files across separate tools.