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Midjourney V7 Image-to-Video

Create short generative video with Midjourney V7 Image-to-Video on LLM.API, with resolution-aware pricing and a unified developer workflow.

Start Using API

What is Midjourney V7 Image-to-Video?

Midjourney V7 Image-to-Video is a generative video model available through LLM.API as `midjourney-v7-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 Midjourney V7 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 $0.018 per second of video——

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

Try this model

Test Midjourney V7 Image-to-Video right here — free to start.

Midjourney V7 Image-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call Midjourney V7 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="midjourney-v7-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": "midjourney-v7-i2v",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ]
}

5 Core Capabilities

  • Iterative creatives

    Enables prompt-based A/B exploration of motion concepts. Reflects video generation positioning for this endpoint.

  • Storyboard acceleration

    Turns written beats into moving drafts for rapid review. Reflects video generation positioning for this endpoint.

  • Text-to-video generation

    Synthesizes short video clips from prompts for ads, explainers, and social. Relevant for `midjourney-v7-i2v` workloads on LLM.API.

  • Motion coherence

    Targets temporally consistent motion across frames for the requested scene. Reflects video generation positioning for this endpoint.

  • Cinematic prompting

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

6 Most Valuable Use Cases

  • Internal pitch videos for stakeholders with Midjourney V7 Image-to-Video
  • Creative exploration for campaign storyboards
  • Explainer openers before live-action shoots with Midjourney V7 Image-to-Video
  • Localized motion variants of the same concept
  • Scene tests for world and environment design with Midjourney V7 Image-to-Video
  • Social-first product teaser generation

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 Midjourney V7 Image-to-Video on LLM.API?

  • Unified AI Routing

    Practical: Reach Midjourney V7 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 Midjourney V7 Image-to-Video.

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for Midjourney V7 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

    Practical: Swap Midjourney V7 Image-to-Video for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

Use it if...

  • You need resolution-tiered pricing for motion content (Midjourney V7 Image-to-Video)
  • You can tolerate longer generation times than chat (Midjourney V7 Image-to-Video)
  • You are building short-form generative video features (Midjourney V7 Image-to-Video)

Avoid if...

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

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 Midjourney V7 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

  • Which providers serve Midjourney V7 Image-to-Video?

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

  • When should I choose Midjourney V7 Image-to-Video?

    You can tolerate longer generation times than chat — especially when you specifically need Midjourney V7 Image-to-Video.

  • How is Midjourney V7 Image-to-Video priced on LLM.API?

    Listed pricing metadata shows: $0.018/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

  • How long do Midjourney V7 Image-to-Video jobs take?

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

  • Where is the canonical page for Midjourney V7 Image-to-Video?

    https://llmapi.ai/models/midjourney-v7-i2v/

  • Does Midjourney V7 Image-to-Video support streaming?

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

  • What modalities does Midjourney V7 Image-to-Video support?

    Midjourney V7 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 Midjourney V7 Image-to-Video?

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

  • How do I call Midjourney V7 Image-to-Video via API?

    Send OpenAI-compatible requests to https://api.llmapi.ai/v1 with model "midjourney-v7-i2v" and your LLM.API key. See the code snippet on this page.

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