Hailuo Video API: Lifelike Motion Video by MiniMax

Hailuo API 透過一個相容於 OpenAI 的金鑰，在 Atlas Cloud 上為開發者提供 MiniMax 的影片模型。它涵蓋了 Hailuo 02 和 Hailuo 2.3 系列的文字生成影片與圖像生成影片功能，核心優勢在於逼真且符合物理規律的運動以及強大的提示詞控制。若您需要逼真的動態效果或專業的動漫與插畫風格，它將是您的理想選擇。

Hailuo 02 專注於逼真的電影級輸出，具備頂尖的物理模擬效果和極高的指令遵循能力。Hailuo 2.3 專攻動漫和插畫影片，嚴格遵循動畫原理而非僅僅進行近似模擬。對於照片級逼真的工作請使用 02，而當需要呈現真正動畫質感的視覺效果時請使用 2.3。

這兩條產品線皆支援文字提示詞，圖生影片功能可接受參考圖片以錨定構圖與氛圍。輸出的影片解析度最高可達原生1080p，片段長度約為5到10秒。Hailuo僅生成視覺內容，因此您需要在編輯時另外加入音樂、語音或特效。

Hailuo 可生成最高原生 1080p 的影片片段，其中 Standard（標準）版本為 768p，Pro（專業）版本為全 1080p。根據模型和版本的不同，時長在 5 到 10 秒之間。該模型不支援 4K 輸出，因此請將需要更高解析度的工作交由專為此建置的模型處理。

不。Hailuo 純粹專注於視覺效果，不生成原生音訊。對於完成的片段，請在後期製作中將輸出結果與您自己的音樂、旁白或音效進行合成，或者使用單獨的音訊模型。如果您需要同時生成影片和音訊，具備原生音訊功能的模型會是更好的選擇。

Standard balances quality and cost for everyday clips, Pro pushes native 1080p detail for final and commercial work, and Fast trades a little fidelity for quicker, cheaper runs. All tiers share the same prompt and image inputs, so you can move a job between them without reworking your request.

Hailuo 02 reports a high response rate on complex, multi-part instructions, so cameras, actions, and scene details tend to land as written. Repeated calls with the same prompt also stay reasonably consistent, which helps client work and pipelines that need comparable output across runs.

Yes, that is Hailuo 2.3's specialty. It commits to animation conventions, exaggerated arcs, anticipation, held poses, and anime-standard color, instead of the semi-realistic compromise general models produce. That makes its output easier to blend with hand-drawn or traditionally animated material.

Generation is asynchronous: each request returns a prediction ID that you poll until the clip is ready, which fits queues and high-volume runs. Use the Fast tiers for iteration and previews, reserve Pro for finals, and add retry logic with backoff so one failed job does not stall the batch.

Uploads that contain real human faces are subject to platform content rules and identity protections, and may be restricted. For a consistent look, build characters from prompts or non-identifying reference images rather than a real person's photo, and review Atlas Cloud's acceptable use terms before relying on face-based inputs.