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PixVerse V4.5 Image-to-Video

Create short generative video with PixVerse V4.5 Image-to-Video on LLM.API, with resolution-aware pricing and a unified developer workflow.

Start Using API

What is PixVerse V4.5 Image-to-Video?

PixVerse V4.5 Image-to-Video is a generative video model available through LLM.API as `pixverse-i2v`. Video generation model by Muapi. Expect text, image prompts and video outputs, with pricing often tied to seconds and resolution.

Providers

LLM.API routes PixVerse V4.5 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 $0.05 per second of video——

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

Try this model

Test PixVerse V4.5 Image-to-Video right here — free to start.

PixVerse V4.5 Image-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call PixVerse V4.5 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="pixverse-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": "pixverse-i2v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Short-form content

    Fits vertical and horizontal short-form marketing formats. Tuned to how teams typically call PixVerse V4.5 Image-to-Video.

  • Cinematic prompting

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

  • Iterative creatives

    Enables prompt-based A/B exploration of motion concepts.

  • Product visualization

    Helps visualize products and environments before shoot or 3D work.

  • Text-to-video generation

    Synthesizes short video clips from prompts for ads, explainers, and social. Reflects video generation positioning for this endpoint.

6 Most Valuable Use Cases

  • Scene tests for world and environment design with PixVerse V4.5 Image-to-Video
  • Social-first product teaser generation
  • Creative exploration for campaign storyboards with PixVerse V4.5 Image-to-Video
  • Internal pitch videos for stakeholders
  • Short promotional clips from written briefs with PixVerse V4.5 Image-to-Video
  • UGC-style drafts for performance marketing

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 PixVerse V4.5 Image-to-Video on LLM.API?

  • Unified AI Routing

    Reach PixVerse V4.5 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 PixVerse V4.5 Image-to-Video.

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for PixVerse V4.5 Image-to-Video alongside the rest of your stack.

  • Drop-in SDKs

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

  • Model Breadth

    Swap PixVerse V4.5 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 (PixVerse V4.5 Image-to-Video)
  • You need resolution-tiered pricing for motion content (PixVerse V4.5 Image-to-Video)
  • You are building short-form generative video features (PixVerse V4.5 Image-to-Video)

Avoid if...

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

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 PixVerse V4.5 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

Frequently Asked Questions

  • Where is the canonical page for PixVerse V4.5 Image-to-Video?

    https://llmapi.ai/models/pixverse-i2v/

  • How is PixVerse V4.5 Image-to-Video priced on LLM.API?

    Listed pricing metadata shows: $0.05/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • Is PixVerse V4.5 Image-to-Video a chat model?

    No—PixVerse V4.5 Image-to-Video is categorized as a video model. Use the matching API surface rather than assuming chat completions.

  • Does PixVerse V4.5 Image-to-Video support streaming?

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

  • What is the context length for PixVerse V4.5 Image-to-Video?

    Reported context for PixVerse V4.5 Image-to-Video is See provider specs. Always verify the active provider row if multiple providers are listed.

  • What is PixVerse V4.5 Image-to-Video?

    Video generation model by Muapi. On LLM.API it is addressed as `pixverse-i2v`.

  • How long do PixVerse V4.5 Image-to-Video jobs take?

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

  • Which providers serve PixVerse V4.5 Image-to-Video?

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

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