Sources read 2026-11-05
LTX-2.5 · Guide
Explore synchronized audio/video, native multishot generation, the official playground and local deployment. Use the published demo as a reference, not a benchmark.
This generator runs Veo 3.1 Fast for 60 credits per video. It is not LTX-2.5, does not load local weights and does not expose LTX multishot controls.
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- Made by
- Lightricks
- Run on Nano AI
- Veo 3.1 Fast · from 60 credits per video
- Page updated
- November 5, 2026
Source: huggingface.co
Published source example
A full static frame from Lightricks’ LTX-2.5 hero video at 00:01. It cannot demonstrate audio synchronization or continuity across cuts. Read 2026-11-05. Not generated by Nano AI; not a measured result from the generator above.
LTX-2.5: What the sources establish
Sources read 2026-11-05. Lightricks’ public model card describes open weights, synchronized audio/video and connected shots. Local Python and ComfyUI paths are documented; weight access is gated. Check the LTX community license and hardware requirements at the source.
Explore synchronized audio/video, native multishot generation, the official playground and local deployment. Use the published demo as a reference, not a benchmark.
At a glance
- Source read
- 2026-11-05
- Original project
- Lightricks
- Generator here
- Veo 3.1 Fast
- Output here
- 60 credits per video
Official setup route
Use the linked upstream instructions for your environment; no install or GPU inference was performed here.
- 1
Get the project
Lightricks’ public model card describes open weights, synchronized audio/video and connected shots. Local Python and ComfyUI paths are documented; weight access is gated. Check the LTX community license and hardware requirements at the source.
git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync - 2
Check its configuration
Read the model card’s hardware requirements and gated-weight conditions. Select matching model components and the official Python or ComfyUI workflow; no weights are downloaded by this page.
- 3
Open the official workflow
Use the linked upstream instructions for your environment; no install or GPU inference was performed here.
Source files and downloads
| Resource | Purpose |
|---|---|
| LTX-2.5 | Official starting point |
Choose the right workflow
Original project
Lightricks’ public model card describes open weights, synchronized audio/video and connected shots. Local Python and ComfyUI paths are documented; weight access is gated. Check the LTX community license and hardware requirements at the source.
Try here
This generator runs Veo 3.1 Fast for 60 credits per video. It is not LTX-2.5, does not load local weights and does not expose LTX multishot controls.
Published example
A full static frame from Lightricks’ LTX-2.5 hero video at 00:01. It cannot demonstrate audio synchronization or continuity across cuts.
Original workflow and this generator
Sources read 2026-11-05.
| Original project | Nano AI | |
|---|---|---|
| Purpose | Lightricks’ public model card describes open weights, synchronized audio/video and connected shots. Local Python and ComfyUI paths are documented; weight access is gated. Check the LTX community license and hardware requirements at the source. | This generator runs Veo 3.1 Fast for 60 credits per video. It is not LTX-2.5, does not load local weights and does not expose LTX multishot controls. |
| Access | Follow the official source | Sign in and use the generator above |
| Price here | Separate provider and billing | Veo 3.1 Fast · 60 credits per video |
Create an original result
- 1
Prepare your idea
Choose an original prompt below. For image-to-video, upload one image you have permission to use.
- 2
Check the model and credits
The model shown above is the service used here; the source project’s features do not transfer to it.
- 3
Generate and review
Sign in, submit and inspect the result. Published examples are references, not a promise to reproduce them.
Prompts to adapt
Original templates to adapt. Published examples above are separate source material.
Studio
A rain drop lands in a quiet forest pond, gentle ripples, one continuous cinematic shot; subtle forest ambience, no dialogue or music.
Detail
A small wooden boat crosses a misty lake at dawn, smooth camera drift, one continuous shot; quiet water ambience, no speech.
Setting
A curtain moves in a sunlit empty studio, stable camera, one continuous shot, subtle room ambience, no text.
Variation
A paper sculpture slowly turns on a plain pedestal, clean studio lighting, one continuous shot, no logos or dialogue.
Setup limits
- Check upstream requirements
- Keep source-project credentials and billing separate from Nano AI. No performance guarantee is made.
FAQ
LTX-2.5 · Questions before you start
Source facts and the separate hosted workflow.
Which model runs here?
This generator runs Veo 3.1 Fast for 60 credits per video. It is not LTX-2.5, does not load local weights and does not expose LTX multishot controls.
What does the original project do?
Lightricks’ public model card describes open weights, synchronized audio/video and connected shots. Local Python and ComfyUI paths are documented; weight access is gated. Check the LTX community license and hardware requirements at the source.
Did Nano AI generate this example?
A full static frame from Lightricks’ LTX-2.5 hero video at 00:01. It cannot demonstrate audio synchronization or continuity across cuts. Read 2026-11-05. Not generated by Nano AI; not a measured result from the generator above.
Are speed or quality claims tested here?
No local GPU or third-party inference benchmark was run. A static source image cannot establish motion, audio synchronization or an end-to-end speedup.
Where should I go next?
Use the related pages below for the existing model overview or another workflow.
More from Nano AI
Related guides
Nano AI is independent of the named projects and vendors. Public sources were read on 2026-11-05. Published media belongs to its source; this page does not add credits to third-party accounts.