Alibaba WAN 2.5

alibaba/wan-2.5/image-to-video

alibaba/wan-2.5/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

Alibaba WAN 2.5 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.
image_url *Imageimage_upload—0–1 items
audio_urlAudioc URLaudio_upload——
promptPrompttextarea—≤ 1500 chars
negative_promptNegative Prompttextarea—≤ 1500 chars
resolutionResolutionselect1080P480P | 720P | 1080P
durationDurationselect55 | 10 | 15
prompt_extendEnable Prompt Expansionbooleantrue—
seedSeednumber—≥ 0

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/alibaba/wan-2.5/image-to-video" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "image_url": [
      "https://assets-public.namifusion.com/uploads/images/2026-03-04/b44fa344efb2.png"
    ],
    "prompt": "Create a vibrant and dynamic video portraying the transition from dawn to daylight over a mountainous region.",
    "negative_prompt": "Avoid including any urban structures or human figures.",
    "resolution": "1080P",
    "duration": 10,
    "prompt_extend": true,
    "seed": 0
  }
}'

# 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/alibaba/wan-2.5/image-to-video",
    headers=HEADERS,
    json={
        "input": {
            "image_url": [
                "https://assets-public.namifusion.com/uploads/images/2026-03-04/b44fa344efb2.png"
            ],
            "prompt": "Create a vibrant and dynamic video portraying the transition from dawn to daylight over a mountainous region.",
            "negative_prompt": "Avoid including any urban structures or human figures.",
            "resolution": "1080P",
            "duration": 10,
            "prompt_extend": True,
            "seed": 0
        }
    },
)
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/alibaba/wan-2.5/image-to-video", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "image_url": [
        "https://assets-public.namifusion.com/uploads/images/2026-03-04/b44fa344efb2.png"
      ],
      "prompt": "Create a vibrant and dynamic video portraying the transition from dawn to daylight over a mountainous region.",
      "negative_prompt": "Avoid including any urban structures or human figures.",
      "resolution": "1080P",
      "duration": 10,
      "prompt_extend": true,
      "seed": 0
    }
  }),
});
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

WAN 2.5 Image-to-Video

Transform static images into dynamic, cinematic video clips.

WAN 2.5 Image-to-Video is a next-generation AI video generation model designed to animate a single image into a short, high-quality video. Compared with previous WAN models, it delivers smoother motion, stronger visual consistency, and improved scene understanding. The model preserves the original visual style while generating natural movement and cinematic transitions. With a production-ready REST inference API, developers and creators can easily integrate image-to-video generation into creative pipelines and automated content workflows.


🚀 Key Features

  • Image-to-Video Animation: Convert a single image into a dynamic video clip with natural motion and scene continuity.
  • Enhanced Motion Quality: WAN 2.5 improves motion realism and temporal consistency across frames.
  • High Visual Fidelity: Maintains the original structure, subject, and visual style of the source image.
  • Multi-Resolution Output: Generate videos in multiple resolutions suitable for different production needs.
  • Production-Ready API: Easily integrate into applications, creative tools, and automated video pipelines through REST APIs.

🛠️ How It Works

ParameterDetails
InputImage + optional text prompt
OutputGenerated Video (MP4)
Resolution Options480p, 720p, 1080p
Clip DurationTypically 5 seconds per generation
SeedDefault: -1 (random)

Generation Capabilities:

  • Scene Animation: “A sunset beach photo where waves gently move toward the shore.”
  • Character Motion: “A portrait photo where the subject slowly turns and smiles.”
  • Product Showcase: “A sneaker photo rotating slowly on a studio background.”
  • Cinematic Effects: “Clouds drifting slowly across a mountain landscape.”

💰 Pricing

ResolutionPrice (USD/sec)
480p$0.05
720p$0.10
1080p$0.15

💡 Best Use Cases

  • Social Media Content: Turn photos into short engaging videos for TikTok, Instagram, or YouTube Shorts.
  • Marketing & Advertising: Animate product images for promotional content and digital ads.
  • Creative Design: Quickly transform visual concepts or artwork into animated clips.
  • AI Content Pipelines: Integrate automated image-to-video generation into scalable media production workflows.

🔗 Related Models

  • Need to generate videos from text? Try WAN 2.5 Text-to-Video.
  • Need simpler image animation? Try WAN 2.2 Image-to-Video Plus.
  • Need to extend existing clips? Try WAN Spicy Video Extend.

Note: Generation quality depends on the clarity of the input image and prompt. High-resolution images with clear subjects typically produce better results.

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