Source: https://docs.sogni.ai/models/ltx-2-5/

# LTX-2.5 model and workflow reference

LTX-2.5 is Sogni's default native video family: a 22B audio-video transformer that generates picture and synchronized 48 kHz stereo audio in a single pass. Fast, HQ, and Pro currently route through the release-validated official Distilled/Turbo workflows. Dev checkpoints are not publicly routed until upstream publishes an official ComfyUI Dev recipe and Sogni validates it.

Every public mode runs a fixed **8-step** distilled path at guidance 1, so an LTX-2.5 render of a given shape costs and takes roughly what any other LTX-2.5 render of that shape does.

For a mode-by-mode walkthrough with side-by-side comparisons against MiniMax H3 and LTX-2.3, see [H3 Directs. LTX-2.5 Brings the Camera Rig.](https://blog.sogni.ai/blogs/ltx-2-5/) on the Sogni blog.

## [#](https://docs.sogni.ai/models/ltx-2-5/#workflow-ids)Workflow IDs

| Workflow | Creative Agent selector | Public model ID | Inputs |
| --- | --- | --- | --- |
| Text to video | `ltx25` | `ltx25-22b-int8_t2v_distilled` | Prompt |
| Image to video | `ltx25` | `ltx25-22b-int8_i2v_distilled` | Prompt + first frame |
| First/last-frame video | `ltx25` with both frame roles | `ltx25-22b-int8_i2v_distilled` | Prompt + first and last frames |
| Audio to video | `ltx25-a2v` | `ltx25-22b-int8_a2v_distilled` | Prompt + audio |
| Image + audio to video | `ltx25-ia2v` | `ltx25-22b-int8_ia2v_distilled` | Prompt + first frame + audio |
| Video to video | `ltx25-v2v` | `ltx25-22b-int8_v2v_distilled` | Prompt + source video (+ mask for inpaint) |

First/last-frame generation uses a dedicated FLF workflow template while sharing the public I2V model ID. There is no public Dev selector.

## [#](https://docs.sogni.ai/models/ltx-2-5/#generation-limits)Generation limits

-   **Resolution** 640–3840 px per side on a **64 px grid**, default **1920×1088**. Video-to-video uses a **128 px grid**, default 1920×1024.
-   **Frames** 25–505 on a `1 + 8n` grid, default 97 — roughly 1–21 seconds at 24 fps. Sogni's current public workflows are exercised up to **20 seconds**.
-   **Frame rate** is yours to set; 24 fps is the cinematic default.
-   **Audio** 48 kHz stereo, generated jointly with the picture rather than dubbed on afterwards.
-   **Steps** fixed at 8 for every public distilled mode; guidance fixed at 1.

Resolution and frame rate trade against each other at the top of the range: 4K is available, and 60 fps is available at 1080p, but not both at once.

## [#](https://docs.sogni.ai/models/ltx-2-5/#pricing)Pricing

LTX-2.5 is priced from the shape of the job — pixels × frames — rather than a flat per-second rate, so a short 4K clip and a longer 1080p clip can land at similar cost. Measured examples from Sogni reference runs on fast-network workers:

| Mode | Resolution | Length | Spark | USD |
| --- | --- | --- | --- | --- |
| Multishot text to video | 1920×1088 | 10 s | 91.83 | $0.46 |
| Image to video | 1088×1536 | 14 s | 102.72 | $0.51 |
| First/last-frame video | 1920×1088 | 8 s | 73.54 | $0.37 |
| Video to video (canny) | 1920×1024 | 8 s | 69.14 | $0.35 |

Prices are live network estimates at the standard 1 Spark = $0.005 peg. For a quote at any shape, use the [job estimate calculator](https://docs.sogni.ai/pricing/#calculator). Every LTX-2.5 render is also covered credit-free under fair use on [Sogni Unlimited plans](https://docs.sogni.ai/pricing/unlimited-plan-details/).

## [#](https://docs.sogni.ai/models/ltx-2-5/#render-time)Render time

LTX-2.5 runs on Sogni Supernet fast-network workers, whose GPUs differ, so wall-clock time varies by job. In Sogni reference runs an 8-second 1080p render ranged from about **1 m 20 s to over 3 m** depending on the worker. All public modes run 8 steps, against 30 for the Dev tier.

## [#](https://docs.sogni.ai/models/ltx-2-5/#video-to-video-controls)Video-to-video controls

The LTX-2.5 V2V family supports **canny, depth, pose, detailer, inpaint, and outpaint** templates. Pose requires a source video for the motion sequence and a still reference image for the subject's appearance. Inpaint also requires a mask.

## [#](https://docs.sogni.ai/models/ltx-2-5/#prompt-shape)Prompt shape

Use one continuous natural-language scene paragraph with concrete subject, action, setting, lighting, camera motion, and synchronized audio cues.

-   **Put spoken dialogue in quotation marks**, and name the language and accent when it matters.
-   **Break long speeches into short fragments with acting directions between them** rather than one unbroken block — this is upstream LTX guidance and it materially changes delivery.
-   **State the camera on every shot**, including when it should not move. Leaving it unstated invites drift in the final seconds.
-   **Keep the amount of speech realistic for the requested duration.**
-   **For image to video**, treat the still as visual truth: describe motion, performance, camera and sound, not the static contents the model can already see.
-   **For first/last-frame video**, describe the motion and change between the supplied anchors instead of re-inventing their static contents.

### [#](https://docs.sogni.ai/models/ltx-2-5/#multi-shot-prompting)Multi-shot prompting

LTX-2.5 will cut between shots inside a single generation. To get a real hard cut rather than a dissolve, give each shot its own sentence, state a numeric timestamp for the cut, and make the shots **genuinely different places**. A change of room with a change of light reads as an edit; a tighter framing of the same subject usually resolves as a push-in instead. Keep multi-shot captions to roughly one sentence per shot.

## [#](https://docs.sogni.ai/models/ltx-2-5/#sample-gallery)Sample gallery

[View media](https://blog.sogni.ai/blogs/ltx-2-5/assets/ltx25-multishot-snow3.mp4)

Text to video, 1920×1088, 10 s. Three shots and two hard cuts from a single prompt, with synchronized audio — no editing.

[View media](https://blog.sogni.ai/blogs/ltx-2-5/assets/ltx25-i2v-pores.mp4)

Image to video, 1088×1536, 14 s. A macro portrait animated from a single still, holding skin texture and identity through a spoken line.

[View media](https://blog.sogni.ai/blogs/ltx-2-5/assets/ltx25-flf-peak.mp4)

First/last-frame video, 1920×1088, 8 s. Two anchored stills of the same summit, sunrise to deep night, with nothing moving but the light.

More comparisons, including matched A/B pairs against LTX-2.3 and MiniMax H3, are in the [LTX-2.5 launch post](https://blog.sogni.ai/blogs/ltx-2-5/).

## [#](https://docs.sogni.ai/models/ltx-2-5/#ltx-23-rollback-boundary)LTX-2.3 rollback boundary

LTX-2.3 remains available through explicit rollback selectors. Voice ID-LoRA, the community transition LoRA, and 10Eros remain LTX-2.3-only; do not send those inputs or triggers to an LTX-2.5 model ID.