alibaba/wan-2.7/image-edit

alibaba/wan-2.7/image-edit

alibaba/wan-2.7/image-edit. Jelajahi API model gambar, video, dan tukar wajah. Coba model lalu integrasikan melalui satu API REST terpadu.

Model terkait

alibaba/wan-2.7/image-edit Model terkait 1

Parameter lengkap, skema keluaran, dan harga terkini

Pasar API model AISatu platform untuk semuanyaPaling populerKetentuanJelajahi API model gambar, video, dan tukar wajah. Coba model lalu integrasikan melalui satu API REST terpadu.
prompt *Prompttextarea—≤ 5000 chars
images *Imagesimage_upload—image/* · 1–9 items
sizeSizetext—≤ 500 chars

Parameter lengkap, skema keluaran, dan harga terkini

Pelajari lebih lanjutSatu platform untuk semuanyaJelajahi API model gambar, video, dan tukar wajah. Coba model lalu integrasikan melalui satu API REST terpadu.
imagesarray<string>

API

Jelajahi API model gambar, video, dan tukar wajah. Coba model lalu integrasikan melalui satu API REST terpadu.

cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/alibaba/wan-2.7/image-edit" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "prompt": "Preserve the subject identity and composition, replace the background with a premium studio setting, and add soft realistic lighting.",
    "images": [
      "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
    ]
  }
}'

# 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-2.7/image-edit",
    headers=HEADERS,
    json={
        "input": {
            "prompt": "Preserve the subject identity and composition, replace the background with a premium studio setting, and add soft realistic lighting.",
            "images": [
                "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
            ]
        }
    },
)
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-2.7/image-edit", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "prompt": "Preserve the subject identity and composition, replace the background with a premium studio setting, and add soft realistic lighting.",
      "images": [
        "https://assets-public.namifusion.com/marketplace/images/2026-06-12/638e1ee18ac7.jpeg"
      ]
    }
  }),
});
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);

Dokumentasi API

alibaba/wan-2.7/image-edit

Prompt-driven image editing with multi-image references, fast inference, and no cold starts.

alibaba/wan-2.7/image-edit is a prompt-based image editing model designed for targeted modifications to existing images. It preserves subject identity, composition, and scene structure while enabling fast creative iteration with multiple reference images, making it a strong fit for production workflows that prioritize quality, speed, and cost efficiency.

🚀 Key Features

  • Prompt-driven editing: Describe what to change and what to preserve in natural language for precise, workflow-friendly image edits.
  • Multi-image reference support: Accepts 1–9 input images for subject, style, background, or fusion-based editing tasks.
  • Composition preservation: Optimized to maintain identity, pose, layout, and overall scene structure while applying localized changes.
  • No cold starts: Ready for responsive production usage and rapid iteration without startup delays.
  • Affordable per-run pricing: Low-cost execution makes it suitable for high-volume creative and commercial editing workloads.

🛠️ Technical Specifications

ItemDetails
Modelalibaba/wan-2.7/image-edit
Model TypePrompt-driven image editing
Task Typeimage-to-image
ArchitectureConditional image editing model with multi-reference guidance
InputPrompt, 1–9 input images
OutputEdited image
Num Images1–9
ResolutionEffective output up to 2048×2048; each dimension may range from 512–4096 within the total-pixel limit
Pixel ConstraintsTotal pixels must be between 768×768 and 2048×2048
Aspect Ratio1:8 to 8:1
Default Output SizeTypically matches the original image if not specified
LatencyOptimized for fast inference; no cold starts
Output FormatImage

Sample Prompts

  • Change the jacket to black leather, keep the face and pose unchanged.
  • Replace the background with a rainy Tokyo street at night, keep the subject unchanged, cinematic lighting.
  • Change the product casing to brushed silver metal while preserving the original angle, lighting, and composition.

💰 Pricing

ItemPrice
Base price / per run$0.03

💡 Best Use Cases

  • Fashion and apparel: Swap clothing styles, colors, or materials while preserving model identity and pose.
  • Background replacement: Change scene setting or mood without rebuilding the full image.
  • Product image editing: Create color, material, and environment variants for e-commerce and marketing assets.
  • Creative style iteration: Explore visual directions quickly while keeping the original composition intact.

🔗 Related Models

  • Wan 2.7 Image Edit Pro: Higher-fidelity version with up to 2K editing output.
  • Wan 2.6 Image Edit: Previous-generation image editing model with a similar prompt-driven workflow.
  • Qwen Image Edit: General-purpose image editing model for everyday creative and product use cases.
  • Google Nano Banana Pro Edit: High-fidelity editing model with strong composition preservation and text handling.

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