AxForge offering · Request
Lightricks' LTX-2.5 is an open-weight image-to-video model built for fast, controllable clip generation, with a Diffusers build for standard pipelines. Validated on AxForge hardware with a dedicated DGX Spark deployment option for your traffic only, subject to confirmed availability, configuration and licence, as an OpenAI-compatible endpoint on hardware only you use, operated by AxForge in the EU.
Currently request-only. Add your request to the public forum; this is not a booking or a promised launch.
Why AxForge
| Fast image-to-video | LTX is the family known for speed: usable clips in a fraction of the time of larger video models. |
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| Standard pipeline | A Diffusers build means it drops into existing tooling (ComfyUI, custom pipelines) on your own machine. |
| Licence reviewed | For an agreed deployment, subject to availability: LTX-2.5 ships under Lightricks' own licence; AxForge reviews it with you and deploys under it where it applies. |
Specifications
| Model | LTX-2.5 by Lightricks |
|---|---|
| Modalities | Image or text → video |
| Sizes | 19.0B |
| Licence | Commercial licence needed (the model's own licence); AxForge handles the licence where one is required |
| Hardware | NVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge |
| Rental term | Hour, week, month or year |
| Hardware pricing | €1.19/hour on demand · €0.95/hour by the week · €0.91/hour by the month · €0.85/hour by the year |
| Managed service | Quoted per deployment |
| Region | Málaga, Spain (eu-es-1) |
LTX-2.5 catalogue reference: specifications and requirements. List prices in EUR.
How it works
| 1 | Add a public request describing your workload, context needs and preferred rental term. A request does not reserve hardware or promise a deployment. |
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| 2 | If AxForge can offer a deployment, agree the configuration, hardware rental, licence and managed-service price in writing before anything is billed. |
| 3 | Only after availability and terms are confirmed would AxForge provision the agreed dedicated system and model build. |
| 4 | After provisioning, point your OpenAI SDK at your own endpoint with the model name you receive. |
| 5 | After provisioning, adjust the term (hour, week, month or year) as your workload settles. |
Request model or sign in to start.
FAQ
This page describes the managed deployment option. Availability, the model build, hardware, licence and price must be agreed before a deployment can be offered. A public request does not provision or reserve a machine. Check the console for the current serverless offering list.
A dedicated DGX Spark for the 19B Diffusers build; AxForge would confirm resolution, clip length and throughput with the deployment. Any deployment depends on confirmed availability, configuration, licence and price.
Yes, image-to-video is what LTX-2.5 is built for; text-only prompting is also supported.
AxForge publishes only numbers it measures itself, and has not benchmarked this model on its nodes yet. For quality benchmarks, see the official model card.
For a deployment agreed after availability is confirmed: Hardware by the hour, week, month or year; the managed service is quoted per deployment. Both are confirmed in writing before anything is billed.