alibaba/wan-2.7/text-to-image-pro
alibaba/wan-2.7/text-to-image-pro
WAN 2.7 Text-to-Image Pro generates high-quality images up to 4K from text prompts with thinking mode for enhanced image quality. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Examples
Parameters
| Name | Type | Default | Constraints | Description |
|---|---|---|---|---|
| prompt *Prompt | textarea | — | ≤ 5000 chars | The positive prompt for the generation. |
| sizeSize | text | 1024*1024 | ≤ 500 chars | The size of the generated image in pixels (width*height). Range: 512-8192 per dimension. Total pixels must be between 768*768 and 4096*4096. Aspect ratio must be between 1:8 and 8:1. |
| thinking_modeThinking Mode | boolean | true | — | Enable thinking mode for enhanced reasoning and better image quality. Increases generation time. |
Output fields
| Field | Type | Description |
|---|---|---|
| images | array<string> | Generated image URL(s). |
API
Call this model through one unified REST API. Get a key on the API Keys page.
cURL
# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/alibaba/wan-2.7/text-to-image-pro" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": {
"prompt": "A premium cinematic portrait in a futuristic botanical garden at dusk, soft rim light, intricate materials, photorealistic, high detail.",
"size": "1024*1024",
"thinking_mode": true
}
}'
# 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/text-to-image-pro",
headers=HEADERS,
json={
"input": {
"prompt": "A premium cinematic portrait in a futuristic botanical garden at dusk, soft rim light, intricate materials, photorealistic, high detail.",
"size": "1024*1024",
"thinking_mode": True
}
},
)
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/text-to-image-pro", {
method: "POST",
headers: { ...HEADERS, "Content-Type": "application/json" },
body: JSON.stringify({
"input": {
"prompt": "A premium cinematic portrait in a futuristic botanical garden at dusk, soft rim light, intricate materials, photorealistic, high detail.",
"size": "1024*1024",
"thinking_mode": true
}
}),
});
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);Documentation
alibaba/wan-2.7/text-to-image-pro
Professional-grade 4K text-to-image generation with stronger reasoning, consistent quality, and no cold starts.
alibaba/wan-2.7/text-to-image-pro is a professional-tier text-to-image model designed for high-fidelity image generation from text prompts. It supports output up to 4K(4096×4096), includes a built-in thinking mode for improved prompt understanding, and offers flexible size control for production-ready creative workflows.
🚀 Key Features
- Up to 4K output: Generate images at up to 4096×4096 resolution for print, large-format displays, and high-DPI use cases.
- Thinking mode for better quality: Built-in reasoning improves prompt adherence, composition coherence, and overall visual fidelity.
- Custom size control: Set width and height to match square, landscape, portrait, widescreen, or ultrawide formats.
- No cold starts: Well suited for production environments that require responsive generation without startup delays.
- Affordable professional tier: Delivers strong image quality and controllability at a competitive per-image price.
🛠️ Technical Specifications
| Item | Details |
|---|---|
| Model architecture | Professional text-to-image model |
| Input | Prompt |
| Output | Image |
| Default Resolution | 1024×1024 |
| Maximum effective output Resolution | 4096×4096(4K-class) |
| Size range | Width and Height each support 512–8192 pixels |
| Total pixel constraint | Must fall between 768×768 and 4096×4096 total pixels |
| Aspect Ratio constraint | 1:8 to 8:1 |
| Thinking mode | Enabled by default; improves quality and reasoning, but increases latency |
| Latency | Variable; higher Resolution and thinking mode generally increase generation time |
| Output Format | Single generated high-quality image |
Sample Prompts
A modern tea shop interior, warm afternoon light, minimalist wood design, cinematic photographyA luxury skincare product on reflective glass, soft studio lighting, premium commercial photography, ultra detailedA futuristic city skyline at sunrise, atmospheric haze, intricate architecture, highly detailed concept art
💰 Pricing
| Item | Price |
|---|---|
| Per generated image | $0.075 |
💡 Best Use Cases
- Print and large-format design: Create high-resolution assets for posters, magazines, signage, and campaign materials.
- E-commerce and product visualization: Produce polished product imagery and presentation visuals with strong texture and detail.
- Marketing and advertising: Generate campaign-ready key visuals, social creatives, and branded promotional assets.
- Concept art and creative development: Explore environments, lighting, materials, and scene composition at high fidelity.
🔗 Related Models
- Wan 2.7 Text-to-Image: Lower-cost standard version for everyday image generation.
- Wan 2.6 Text-to-Image: Previous-generation Wan text-to-image model.
- Seedream V4 Text-to-Image: Better suited for style-consistent posters, campaigns, and brand visuals.
- FLUX.2 Dev Text-to-Image: Strong prompt adherence and fine detail for creative and production workflows.
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