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HunyuanVideo Image-to-Video

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

Start Using API

What is HunyuanVideo Image-to-Video?

HunyuanVideo 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 HunyuanVideo 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 $0.03 per second of video——

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

Try this model

Test HunyuanVideo Image-to-Video right here — free to start.

HunyuanVideo Image-to-Video
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

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

5 Core Capabilities

  • Resolution options

    Supports multiple output resolutions depending on provider pricing tiers. Tuned to how teams typically call HunyuanVideo Image-to-Video.

  • Cinematic prompting

    Responds to camera, lighting, and mood language in creative briefs. Relevant for `hunyuan-i2v` workloads on LLM.API.

  • Storyboard acceleration

    Turns written beats into moving drafts for rapid review. Grounded in the model's video role rather than generic chat claims.

  • 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.

6 Most Valuable Use Cases

  • Explainer openers before live-action shoots with HunyuanVideo Image-to-Video
  • Scene tests for world and environment design
  • Social-first product teaser generation with HunyuanVideo Image-to-Video
  • Internal pitch videos for stakeholders
  • Short promotional clips from written briefs with HunyuanVideo Image-to-Video
  • Creative exploration for campaign storyboards

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 HunyuanVideo Image-to-Video on LLM.API?

  • Unified AI Routing

    Reach HunyuanVideo Image-to-Video and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Compare provider price points and keep spend visible as you scale HunyuanVideo Image-to-Video.

  • Reliability Layer

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

  • Observability

    Trace prompts, tokens, and errors for HunyuanVideo 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

    Production: Swap HunyuanVideo 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 (HunyuanVideo Image-to-Video)
  • You are building short-form generative video features (HunyuanVideo Image-to-Video)
  • You need resolution-tiered pricing for motion content (HunyuanVideo Image-to-Video)

Avoid if...

  • You only need still images or chat text
  • You require sub-second interactive generation
  • 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 HunyuanVideo 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

  • Does HunyuanVideo Image-to-Video support streaming?

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

  • Is HunyuanVideo Image-to-Video a chat model?

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

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

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

  • What is HunyuanVideo Image-to-Video?

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

  • What is the context length for HunyuanVideo Image-to-Video?

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

  • What modalities does HunyuanVideo Image-to-Video support?

    HunyuanVideo 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 HunyuanVideo Image-to-Video?

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

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

    Listed pricing metadata shows: $0.03/sec. Confirm live rates in the LLM.API dashboard or docs before production budgeting.

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