LTX

LTX

Lightricks
4.4 out of 5 stars
Muse Spark Open

Muse Spark Open

Meta
5.0 out of 5 stars
Visit Website for LTX
LTX Muse Spark Open
LTX:

About

LTX is an open foundation model for video, audio, and world simulation. You get full control over your AI: run LTX locally on your own hardware, fine tune it on your own IP, and generate video and audio as one unified output instead of stitching together separate tools. The latest model, LTX-2.5, is a 22B-parameter dual-stream diffusion transformer that generates native 4K video at up to 50fps, with synchronized audio and video produced in a single pass. Weights, code, and research are fully open, and independent benchmarking from Artificial Analysis ranks LTX among the top 3 AI video models globally. Access LTX three ways: download the open weights and run it yourself, license the model for on-premise deployment with enterprise support, or build on LTX Studio, the production suite for creative teams and studios. Teams at ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already build on LTX. LTX is production infrastructure for AI teams generating motion and physical environments inside their own pipelines, not a consumer app for one-off clips.
Muse Spark Open:

About

Muse Spark Open is an open-weight, natively multimodal language model for developers and organizations building AI applications, coding systems, and agentic workflows. The released model has 816 billion total parameters, 42 billion active parameters, and a 1-million-token context window. Teams can download the model weights, run inference through supported engines such as vLLM, SGLang, TensorRT-LLM, Hugging Face Transformers, Apple MLX, llama.cpp, or Unsloth, and customize the model using PyTorch. It supports long-context reasoning, software engineering, coding, tool use, and multimodal inputs. Deployment options include cloud inference through listed API providers or self-hosting on compatible GPU systems; Meta documents a desktop setup using two Apple M5 Ultra Mac Studio computers. The model is released under the Muse Model License with limited commercial terms.
LTX:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Muse Spark Open:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
LTX:

Audience

Enterprises, researchers, developers, and studios building production-grade AI video, audio, and world simulation into their own pipelines and products.
Muse Spark Open:

Audience

AI developers, machine learning engineers, software engineers, AI researchers, enterprise development teams, and organizations seeking customizable open-weight multimodal models for local inference, autonomous agents, complex coding, and long-context AI applications
LTX:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Muse Spark Open:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported
LTX:

API

Offers API Supported
Muse Spark Open:

API

Offers API Not Supported
LTX:

Screenshots and Videos

Muse Spark Open:

Screenshots and Videos

LTX:

Pricing

$0
Open weights: free for research, and free for commercial use for companies under $10M ARR

API: usage-based pricing, managed endpoints, no infrastructure overhead

Licensing: full commercial license for on-premise deployment, enterprise support included
Free Version Supported
Free Trial Not Supported
Muse Spark Open:

Pricing

$0
Model weights are available at no charge under the Muse Model License, which has limited commercial-use terms. Hosted inference providers set their own usage prices.
Free Version Supported
Free Trial Not Supported
LTX:

Reviews/Ratings

Overall 4.6 / 5
ease 4.3 / 5
features 4.4 / 5
design 4.3 / 5
support 4.2 / 5
Muse Spark Open:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
LTX:

Pros from Real Users

Pros

  • Gosh, there are too many things I love about this platform. Making cinematic movies, with CONSISTENT CHARACTERS! That's crazy, and it's also just a good video and image generator. When I'm low on computing seconds, I use LTXV Turbo because it's fast, efficient, and has amazing results.
  • 1) UI/UX – Simple, Robust, Effective. The ‘X’perience has been smooth, intuitive, and genuinely enjoyable. 2) Features – Thoughtful and Well-Designed. Every feature feels like it was built with the user in mind. 3) Speed – Unmatched. This is hands-down the fastest response system I’ve experienced.
  • I edited lots of existing images for a new project and created new images with LTX Studio. The processing was very simple and the quality was very good.
  • I really like the character design feature and the story boarding feature. The ability to change each image in real time in the story board and even animate is great. This also really helps brainstorming a story board and visualize a script to either use directly or for reference. The interactive storyboard is awesome!!
  • Many good things, such as you can easily work with different AI tools and you can create your own model as well.
  • I like the interface, the way the AI is building the storyboard, and, in general, the accuracy of the AI in generating particular types of scenes. It seems that the AI is more comfortable with particular genres (ie. children's, sci-fi, fantasy)
  • I was up and going in just minutes. I actually uploaded my new original song lyrics and LTX created scenes for me that I interwove into my bands live performance.
  • At this point, I’m enjoying the massive increase in the quality of the outputs. I’m an occasional user.
  • Easy to use!
  • Wonderful output quality, text editing is simple and the quality of interpretation in overall feel is great..
Muse Spark Open:

Pros & Cons from Real Users

Pros

  • Meta finally opened up a genuinely frontier-level Muse model. The 1M-token context window and 42B active parameters make it strong enough for large repos, long agent sessions, multimodal work, and complex coding without feeling like a stripped-down open model. The local deployment story is also a huge deal. Being able to run something this capable on two M5 Ultra Mac Studios is impressive, especially for teams that want more control over data, infrastructure, and customization. I also like how much of the stack is open around it. Muse Spark Open works with MLX, vLLM, SGLang, TensorRT-LLM, Transformers, llama.cpp, and Unsloth, and Meta is making the weights available through Hugging Face, SageMaker, Google Cloud Model Garden, and Microsoft Foundry.

Cons

  • Even though it is technically desktop-capable, needing two M5 Ultra Mac Studios for the full local experience is still a serious setup, so most developers will probably use hosted inference instead.
LTX:

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported
Muse Spark Open:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
LTX:

Company Information

Lightricks
Founded: 2013
United States
ltx.io
Muse Spark Open:

Company Information

Meta
Founded: 2004
United States
research.meta.ai/blog/muse-spark-open
LTX:

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Muse Spark Open:

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LTX:

Categories

AI Models Supported
AI Video Editors Supported

LTX is not a traditional timeline-based video editor. It is the open foundation model that generative video editing tools are built on. LTX-2.5 ships with a desktop app for fully local inference, and its production-grade reframing feature lets you outpaint video beyond its original frame while preserving composition, motion, and on-screen elements, which is useful inside an editing workflow. If you are looking for cut-and-trim editing software, LTX is not that. If you want to add AI generated shots, audio, or reframing into your own editing pipeline, on your own hardware, LTX-2.5 gives you the open model to build that on.

LTX-2.5 generates native 4K video at up to 50 frames per second, with audio and video produced together in a single pass rather than stitched together afterward. Built on a 22B-parameter dual-stream diffusion transformer with bidirectional cross-attention between the audio and video streams, LTX ranks among the top 3 AI video models globally per independent benchmarking from Artificial Analysis. You can download the open weights and run LTX locally, license it for on-premise deployment with enterprise support, or build on LTX Studio, the production suite for creative teams. Teams at ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already generate video with LTX. LTX is built for AI teams generating motion and physical environments inside their own pipelines, not for one-off social clips.

AI Video Models Supported
AI World Models Supported

LTX is an open foundation model for video, audio, and world simulation, built by Lightricks. LTX-2.5 is a 22B-parameter dual-stream diffusion transformer that generates synchronized audio and video in a single pass, at native 4K resolution and up to 50 frames per second. Independent benchmarking from Artificial Analysis ranks LTX among the top 3 AI models globally for video generation. Unlike closed AI platforms, LTX ships with open weights, so you can download, inspect, fine-tune, and run the model on your own hardware, with no vendor lock-in and no per-generation billing. Enterprises, researchers, developers, and studios use LTX to build video, audio, and simulation capabilities directly into their own products and pipelines, from entertainment and gaming to robotics and physical AI.

Multimedia Supported

LTX is a multimodal foundation model: one model generates and simulates across video, audio, and the physical world, instead of stitching together separate tools for each. LTX-2.5 produces synchronized audio and video in a single pass at native 4K resolution, so sound and motion stay aligned without post-production syncing. Because the weights and code are fully open, you can fine-tune LTX on your own audio and visual IP and run it on your own hardware. This makes LTX useful well beyond a single media type: entertainment studios, XR and virtual production teams, and robotics and simulation companies all build multimedia pipelines on the same underlying model.

Multimodal Models Supported
Muse Spark Open:

Categories

LTX:

Artificial Intelligence Features

Chatbot Not Supported
For eCommerce Supported
For Healthcare Supported
For Sales Supported
Image Recognition Supported
Machine Learning Supported
Multi-Language Not Supported
Natural Language Processing Not Supported
Predictive Analytics Not Supported
Process/Workflow Automation Not Supported
Rules-Based Automation Not Supported
Virtual Personal Assistant (VPA) Not Supported
LTX:

Integrations

Hugging Face Supported
Baseten Not Supported
Comfy Cloud Supported
ComfyUI Supported
Fireworks AI Not Supported
GitHub Supported
Groq Not Supported
LTX-2.3 Supported
LTX-2.5 Supported
LTXV Supported
Modal Not Supported
Nebius Not Supported
OpenRouter Not Supported
Python Supported
RunDiffusion Supported
Together AI Not Supported
fal Supported
vLLM Not Supported
Muse Spark Open:

Integrations

Hugging Face Supported
Baseten Supported
Comfy Cloud Not Supported
ComfyUI Not Supported
Fireworks AI Supported
GitHub Not Supported
Groq Supported
LTX-2.3 Not Supported
LTX-2.5 Not Supported
LTXV Not Supported
Modal Supported
Nebius Supported
OpenRouter Supported
Python Not Supported
RunDiffusion Not Supported
Together AI Supported
fal Not Supported
vLLM Supported
Muse Spark Open:
Claim Muse Spark Open and update features and information
Claim Muse Spark Open and update features and information