MiniMax H3 Image to Video

minimax/h3/image-to-video

minimax/h3/image-to-video. Przeglądaj API modeli obrazu, wideo i zamiany twarzy. Wypróbuj model, a następnie zintegruj go przez wspólne REST API.

Powiązane modele

MiniMax H3 Image to Video Powiązane modele 1

Pełne parametry, schemat wyjścia i aktualne ceny

Rynek API modeli AIJedna platforma do wszystkiegoNajpopularniejszyRegulaminPrzeglądaj API modeli obrazu, wideo i zamiany twarzy. Wypróbuj model, a następnie zintegruj go przez wspólne REST API.
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

Pełne parametry, schemat wyjścia i aktualne ceny

Dowiedz się więcejJedna platforma do wszystkiegoPrzeglądaj API modeli obrazu, wideo i zamiany twarzy. Wypróbuj model, a następnie zintegruj go przez wspólne REST API.
videosarray<string>

API

Przeglądaj API modeli obrazu, wideo i zamiany twarzy. Wypróbuj model, a następnie zintegruj go przez wspólne REST API.

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);

Dokumentacja API

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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