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LTX 2 19B Image-to-Video

LTX 2 19B Image-to-Video exposes video generation video generation through LLM.API so motion experiments share the same billing and auth as other models.

What is LTX 2 19B Image-to-Video?

LTX 2 19B Image-to-Video targets motion content rather than chat. Video generation model by Muapi. On LLM.API it sits alongside other media models under a single developer account.


Providers

LLM.API routes LTX 2 19B Image-to-Video to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
muapi$0 in
$0 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
muapi30% offin —; out $0.016 per second of video

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 21 Sept 2026.

Try this model

Test LTX 2 19B Image-to-Video right here — free to start.

LTX 2 19B Image-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call LTX 2 19B Image-to-Video through the OpenAI-compatible API — Video generation via LLM.API (see docs for media endpoints).

python
from openai import OpenAI

client = OpenAI(
    api_key="YOUR_LLMAP_KEY",
    base_url="https://api.llmapi.ai/v1",
)

resp = client.chat.completions.create(
    model="ltx-2-19b-i2v",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
)
print(resp.choices[0].message.content)
{
  "model": "ltx-2-19b-i2v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Text-to-video generation

    Synthesizes short video clips from prompts for ads, explainers, and social.

  • Cinematic prompting

    Responds to camera, lighting, and mood language in creative briefs. Grounded in the model's video role rather than generic chat claims.

  • Short-form content

    Fits vertical and horizontal short-form marketing formats. Relevant for `ltx-2-19b-i2v` workloads on LLM.API.

  • Motion coherence

    Targets temporally consistent motion across frames for the requested scene. Relevant for `ltx-2-19b-i2v` workloads on LLM.API.

  • Resolution options

    Supports multiple output resolutions depending on provider pricing tiers.

6 Most Valuable Use Cases

  • Scene tests for world and environment design with LTX 2 19B Image-to-Video
  • UGC-style drafts for performance marketing
  • Short promotional clips from written briefs with LTX 2 19B Image-to-Video
  • Creative exploration for campaign storyboards
  • Explainer openers before live-action shoots with LTX 2 19B Image-to-Video
  • Localized motion variants of the same concept

Why Build on LLM.API?

One unified API. Every major model. Built-in reliability, cost control, and observability.

  • Intelligent AI Routing

    Automatically route each request to the best model across providers based on latency, cost, and quality—without changing your integration or redeploying code.

    One endpoint, every model.
  • Cost-Aware Execution

    Control spend with per-request cost estimation, smart model selection, and centralized quotas so teams can experiment fast without runaway bills or manual tracking.

    More performance, less spend.
  • Resilient Fallback Flows

    Define automatic, provider-agnostic fallbacks to keep your app up during outages, rate limits, or timeouts—no brittle failover logic scattered through your codebase.

    Never go dark on users.
  • Deep LLM Observability

    Trace every call across providers with logs, metrics, and request replay so you can debug, tune prompts, and optimize model choices from one unified dashboard.

    See every token, everywhere.
  • Task-Level Orchestration

    Describe tasks, not models. LLM.API maps them to the right tools, models, and prompts so you ship complex AI workflows with minimal glue code.

    Think tasks, not models.
  • High-Throughput Batch APIs

    Process millions of inferences efficiently with optimized batch pipelines, concurrency controls, and retry logic—all behind the same simple interface you use for single calls.

    Scale from 1 to millions.

Why run LTX 2 19B Image-to-Video on LLM.API?

  • Unified AI Routing

    Practical: Reach LTX 2 19B Image-to-Video and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale LTX 2 19B Image-to-Video.

  • Reliability Layer

    Production: Retry and route across configured providers when a single upstream blips.

  • Observability

    Trace prompts, tokens, and errors for LTX 2 19B Image-to-Video alongside the rest of your stack.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap LTX 2 19B Image-to-Video for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You can tolerate longer generation times than chat (LTX 2 19B Image-to-Video)
  • You need resolution-tiered pricing for motion content (LTX 2 19B Image-to-Video)
  • You are building short-form generative video features (LTX 2 19B Image-to-Video)

Avoid if...

  • You need broadcast-length films or guaranteed cinema-grade continuity
  • You only need still images or chat text
  • You require sub-second interactive generation

What creators say about AI video models

Summarised from publicly published developer and community reviews of this model family. Opinions are the sources’, not LLM.API’s, and may not be specific to LTX 2 19B Image-to-Video.

  • Creator reviews of the latest Kling releases praise multi-shot consistency, native audio and genuine 4K output.
  • Comparisons with Sora and Runway focus on prompt adherence and motion stability rather than raw resolution.
  • The common workflow advice: generate many short takes cheaply, then upscale or extend the ones that land.

Frequently Asked Questions

  • What is the context length for LTX 2 19B Image-to-Video?

    Reported context for LTX 2 19B Image-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.

  • How is LTX 2 19B Image-to-Video priced on LLM.API?

    Listed pricing metadata shows: $0.016/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Does LTX 2 19B Image-to-Video support streaming?

    Streaming depends on the active provider; check the providers table on this page for flags.

  • Which providers serve LTX 2 19B Image-to-Video?

    LLM.API currently lists: muapi. Availability can vary by region and account.

  • Where is the canonical page for LTX 2 19B Image-to-Video?

    https://llmapi.ai/models/ltx-2-19b-i2v/

  • What modalities does LTX 2 19B Image-to-Video support?

    LTX 2 19B Image-to-Video accepts text, image and produces video according to its architecture metadata on LLM.API.

  • Can I use tools or structured outputs with LTX 2 19B Image-to-Video?

    Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.

  • How do I call LTX 2 19B Image-to-Video via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "ltx-2-19b-i2v" and your LLM.API key. See the code snippet on this page.

  • When should I choose LTX 2 19B Image-to-Video?

    You need resolution-tiered pricing for motion content — especially when you specifically need LTX 2 19B Image-to-Video.

  • How long do LTX 2 19B Image-to-Video jobs take?

    Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.

  • What are limitations of LTX 2 19B Image-to-Video?

    Like other API models, LTX 2 19B Image-to-Video can be wrong, incomplete, or uneven on edge cases. Validate outputs for high-stakes use. Media/OCR/STT models additionally depend on input quality.

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