LTX 2 Pro Image-to-Video API: Endpoint & Pricing
LTX 2 Pro 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 Pro Image-to-Video?
LTX 2 Pro Image-to-Video is a generative video model available through LLM.API as `ltx-2-pro-i2v`. Video generation model by Muapi. Expect text, image prompts and video outputs, with pricing often tied to seconds and resolution.
Can you self-host LTX 2 Pro Image-to-Video?
No. We found no public weights for LTX 2 Pro Image-to-Video on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.
Skip the deploy — use LLM.API as your endpoint
No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, with custom volume discounts on request.
Providers
LLM.API routes LTX 2 Pro Image-to-Video to the providers below, with discounted effective rates versus list price.
List price by provider
InputOutputProvider list prices; the LLM.API discount applies on top.
| Provider | Pricing | Context | Capabilities |
|---|---|---|---|
| in —; out $0.0001 per second of video | — | — |
Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 11 Oct 2026.
Try this model
Test LTX 2 Pro Image-to-Video right here — free to start.
Suggestions for your first prompt
Code snippet
Call LTX 2 Pro Image-to-Video through the OpenAI-compatible API — Video generation via LLM.API (see docs for media endpoints).
Switching from OpenAI? Change 2 lines.
- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"Everything else stays the same — SDK, message format, tools, streaming. Set model to ltx-2-pro-i2v and the call runs unchanged.
curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "ltx-2-pro-i2v",
"messages": [
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}'from openai import OpenAI
client = OpenAI(
api_key="YOUR_LLMAPI_KEY",
base_url="https://api.llmapi.ai/v1",
)
resp = client.chat.completions.create(
model="ltx-2-pro-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)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LLMAPI_KEY,
baseURL: "https://api.llmapi.ai/v1",
});
const resp = await client.chat.completions.create({
model: "ltx-2-pro-i2v",
messages: [
{ role: "user", content: "Give me three crisp launch checklist items." },
],
});
console.log(resp.choices[0].message.content);stream = client.chat.completions.create(
model="ltx-2-pro-i2v",
messages=[{"role": "user", "content": "Write a haiku about latency."}],
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True){
"model": "ltx-2-pro-i2v",
"messages": [
{"role": "system", "content": "You are a precise product assistant."},
{"role": "user", "content": "Give me three crisp launch checklist items."}
]
}ENDPOINTS
Supported endpoints & features
Base URL https://api.llmapi.ai/v1 · model ID ltx-2-pro-i2v · OpenAI-compatible.
POST /v1/chat/completionsChat Completions — supported
| Feature | Status | How to set it |
|---|---|---|
| Function calling (tools) | Not supported | tools, tool_choice |
| Parallel tool calls | Not supported | parallel_tool_calls |
| JSON mode | Not supported | response_format: {"type": "json_object"} |
| Structured outputs | Not supported | response_format: {"type": "json_schema", …} |
| Streaming | Not supported | stream: true |
| Vision (image input) | Not supported | image_url content parts |
| Web search | Not supported | web_search |
ERRORS
Errors & fallback routing
| Code | What it means | What to do |
|---|---|---|
401 | Missing or invalid API key. | Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active. |
429 | Rate limited, or the upstream provider is throttling the request. | Back off and retry with jitter; the gateway also retries the request on another provider where one is available. |
5xx | Upstream provider error or timeout. | Retry; fallback routing sends the retry to the next healthy provider for this model. |
When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.
LTX 2 Pro Image-to-Video in production
What the model is good at.
Iterative creatives
Enables prompt-based A/B exploration of motion concepts. Reflects video generation positioning for this endpoint.
Text-to-video generation
Synthesizes short video clips from prompts for ads, explainers, and social. Tuned to how teams typically call LTX 2 Pro Image-to-Video.
Cinematic prompting
Responds to camera, lighting, and mood language in creative briefs. Tuned to how teams typically call LTX 2 Pro Image-to-Video.
Motion coherence
Targets temporally consistent motion across frames for the requested scene.
Product visualization
Helps visualize products and environments before shoot or 3D work. Relevant for `ltx-2-pro-i2v` workloads on LLM.API.
What you get when you call LTX 2 Pro Image-to-Video through LLM.API.
Unified AI Routing
Practical: Reach LTX 2 Pro Image-to-Video and sibling models through one OpenAI-compatible endpoint.
One endpoint, every model.Cost Control
Compare provider price points and keep spend visible as you scale LTX 2 Pro Image-to-Video.
More performance, less spend.Reliability Layer
Practical: Retry and route across configured providers when a single upstream blips.
Never go dark on users.Observability
Trace prompts, tokens, and errors for LTX 2 Pro Image-to-Video alongside the rest of your stack.
See every token, everywhere.Drop-in SDKs
Practical: Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.
Think tasks, not models.Model Breadth
Swap LTX 2 Pro Image-to-Video for chat, media, or embedding alternatives without rewriting auth.
Scale from 1 to millions.
When to Use — When NOT to Use
Use it if...
- You can tolerate longer generation times than chat (LTX 2 Pro Image-to-Video)
- You are building short-form generative video features (LTX 2 Pro Image-to-Video)
- You need resolution-tiered pricing for motion content (LTX 2 Pro Image-to-Video)
Avoid if...
- You need broadcast-length films or guaranteed cinema-grade continuity
- You require sub-second interactive generation
- You only need still images or chat text
COMMUNITY
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 Pro 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.
SOURCES
COMMUNITY
What developers say about LTX 2 Pro Image-to-Video
Summarised from public developer discussions and write-ups. Opinions are the sources’, not LLM.API’s.
- Developers on Reddit and Hugging Face note that LTX-2 Pro excels at prompt adherence and complex compositions, though it is slower and less effective at photorealistic human motion than competitors like Kling.
- Technical reviews highlight the model's strength in stylized, illustrated, and animated outputs, making it a preferred choice for motion graphics over high-volume batch processing due to its full inference depth.
- Developers utilizing the API emphasize its support for professional production workflows, citing features like native 4K output at 50fps, deterministic motion control, and integrated synchronized audio generation.
SOURCES
Frequently Asked Questions
Which providers serve LTX 2 Pro Image-to-Video?
LLM.API currently lists: muapi. Availability can vary by region and account.
Does LTX 2 Pro Image-to-Video support streaming?
Streaming depends on the active provider; check the providers table on this page for flags.
What is LTX 2 Pro Image-to-Video?
Video generation model by Muapi. On LLM.API it is addressed as `ltx-2-pro-i2v`.
How is LTX 2 Pro Image-to-Video priced on LLM.API?
Listed pricing metadata shows: 1080p: $0.06/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.
Can I use tools or structured outputs with LTX 2 Pro Image-to-Video?
Tooling support varies; for pure video models, prefer the modalities listed rather than assuming chat tools.
How long do LTX 2 Pro Image-to-Video jobs take?
Video generation typically takes longer than chat; latency scales with duration and resolution and may vary by queue.
How do I call LTX 2 Pro Image-to-Video via API?
Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "ltx-2-pro-i2v" and your LLM.API key. See the code snippet on this page.
When should I choose LTX 2 Pro Image-to-Video?
You are building short-form generative video features — especially when you specifically need LTX 2 Pro Image-to-Video.
What is the context length for LTX 2 Pro Image-to-Video?
Reported context for LTX 2 Pro Image-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.
Where is the canonical page for LTX 2 Pro Image-to-Video?
https://llmapi.ai/models/ltx-2-pro-i2v/
What are limitations of LTX 2 Pro Image-to-Video?
Like other API models, LTX 2 Pro 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.
Is LTX 2 Pro Image-to-Video a chat model?
No—LTX 2 Pro Image-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.
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