MiniMax H3 Image to Video

minimax/h3/image-to-video

minimax/h3/image-to-video. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

MiniMax H3 Image to Video İlgili modeller 1

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Yapay zeka model API pazarıTek platformda her şeyEn popülerKoşullarGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
first_frame *Imageimage_upload—image/* · 0–1 items
prompt *Prompttextarea—≤ 7000 chars
last_frameLast Imageimage_upload—image/* · 0–1 items
resolutionResolutionselect2k2k
durationDurationslider54 ~ 15 · step 1

Tüm parametreler, çıktı şeması ve güncel fiyatlar

Daha fazla bilgiTek platformda her şeyGörsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.
videosarray<string>

API

Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/minimax/h3/image-to-video" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "first_frame": [
      "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
    ],
    "prompt": "Animate the scene with natural subject movement, gentle environmental motion, a stable camera path, and cinematic lighting.",
    "resolution": "2k",
    "duration": 5
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"
Python
import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/minimax/h3/image-to-video",
    headers=HEADERS,
    json={
        "input": {
            "first_frame": [
                "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
            ],
            "prompt": "Animate the scene with natural subject movement, gentle environmental motion, a stable camera path, and cinematic lighting.",
            "resolution": "2k",
            "duration": 5
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 300s server-side.
deadline = time.time() + 360
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))
JavaScript
const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/minimax/h3/image-to-video", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "first_frame": [
        "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
      ],
      "prompt": "Animate the scene with natural subject movement, gentle environmental motion, a stable camera path, and cinematic lighting.",
      "resolution": "2k",
      "duration": 5
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 300s server-side.
const deadline = Date.now() + 360 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);

API belgeleri

MiniMax H3 Image to Video

Turn a single first-frame image into a coherent 2K video with prompt-driven motion control.

MiniMax H3 Image to Video is an image-to-video model that transforms a starting image into a high-resolution 2K video using natural-language motion instructions. With optional last-frame guidance, it is well suited for workflows that require stronger scene continuity, controlled progression, and cinematic short-form video generation. It also stands out for no cold start behavior and cost-efficient pricing.

🚀 Key Features

  • First-frame guided generation: Uses the input image to anchor subject identity, composition, style, and opening visual state.
  • Prompt-based motion control: Define movement, camera behavior, lighting, mood, and scene progression with natural language.
  • Optional last-frame guidance: Add a final reference image to better control the ending frame and improve visual continuity.
  • Native 2K output: Generates high-resolution 2K video suitable for premium creative and commercial content.
  • Flexible duration options: Supports video lengths from 4 to 15 seconds for both rapid iteration and more developed scenes.
  • No cold start: Designed for responsive production usage with more predictable turnaround time.

🛠️ Technical Specifications

ItemDetails
Model NameMiniMax H3 Image to Video
Model IDminimax/h3/image-to-video
Task Typeimage-to-video
Model ArchitectureFirst-frame conditioned video generation model with optional last-frame control
Input FormatImage(URL or Base64) + Prompt; optional last-frame image(URL or Base64)
Output FormatVideo
Input Image Requirements256–5760 pixels per side; supported aspect ratio from 0.4 to 2.5
Prompt Length1–7000 characters
Resolution2K
Duration4–15 seconds
FpsNot publicly specified
Last-frame ControlSupported(optional)
LatencyNo cold start; actual inference time varies by workload and duration

Sample Prompts

  1. Slow cinematic push-in on a person standing in a rainy neon-lit street, subtle head movement, reflections on wet pavement, realistic lighting, moody atmosphere.
  2. Animate the product with a slow rotating motion on a clean studio background, slight camera orbit, premium commercial lighting, emphasize metallic texture and highlights.
  3. A white cat jumps down from a windowsill and walks toward the camera, warm sunlight filling the room, natural motion, soft and cozy mood.

💰 Pricing

OptionPrice
Base Price$0.13 / second
5s video$0.65
10s video$1.30
15s video$1.95

💡 Best Use Cases

  • E-commerce and product marketing: Turn product images into dynamic showcase videos for ads, landing pages, and catalog content.
  • Social media content creation: Convert static visuals into short-form motion assets with stronger engagement potential.
  • Previsualization and concept development: Animate concept art or storyboard frames into short cinematic previews.
  • Character and scene animation: Bring illustrations, portraits, or environment art to life while preserving the original visual direction.

🔗 Related Models

  • MiniMax H3 Text-to-Video: Generates high-resolution video directly from Prompt input.
  • MiniMax H3 Reference-to-Video: Generates high-resolution video from reference media plus Prompt guidance.

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