Text to ImageQwen Image 3.0 Pro

Qwen Image 3.0 Pro Text to Image

qwen-image-3.0-pro/text-to-image

Qwen Image 3.0 Pro is a professional-grade text-to-image model with superior quality and advanced prompt understanding. Up to 2k. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Examples

Qwen Image 3.0 Pro Text to Image example 1

Parameters

NameTypeDefaultConstraintsDescription
prompt *Prompttextarea≤ 5000 charsText prompt describing the desired image, supports Chinese and English
sizeSizetext≤ 16 charsWidth*height format, from 512*512 to 2048*2048 (e.g., 1024*1024, 1280*720). Leave empty to let the model auto-select a resolution.
nNumber of Imagesnumber11 ~ 6 · step 1Generate 1-6 images per request
negative_promptNegative PrompttextareaDescribe what should not appear in the image
prompt_extendPrompt ExtendbooleantrueAutomatically expands and optimizes the prompt. Recommended; most useful for short prompts.
seedSeednumber0 ~ 2147483647 · step 1For reproducibility, 0-2147483647. Leave empty for random.

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/qwen-image-3.0-pro/text-to-image" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
    "n": 1,
    "prompt_extend": 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/qwen-image-3.0-pro/text-to-image",
    headers=HEADERS,
    json={
        "input": {
            "prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
            "n": 1,
            "prompt_extend": 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/qwen-image-3.0-pro/text-to-image", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "prompt": "A cinematic portrait, dramatic rim light, shallow depth of field",
      "n": 1,
      "prompt_extend": 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

Qwen Image 3.0 Pro Text to Image

Professional-grade text-to-image generation with strong prompt understanding and reliable performance.

Qwen Image 3.0 Pro Text to Image is a production-ready text-to-image model designed for high-quality visual generation from natural language prompts. It combines superior image quality, advanced prompt understanding, support for both Chinese and English, and up to 2K output, making it a strong choice for teams that need consistent results, no cold starts, and cost-efficient scaling.

🚀 Key Features

  • Professional-grade image quality: Built for high-fidelity visual generation suitable for commercial and creative workflows.
  • Advanced prompt understanding: Interprets detailed and nuanced prompts more accurately for better alignment with user intent.
  • Up to 2K output: Generates images up to 2048×2048 for sharper and more presentation-ready results.
  • Batch generation: Produces up to 6 images in a single request for faster ideation and selection.
  • Smart resolution: Automatically selects the best resolution from your prompt when no size is specified.
  • Bilingual prompt support: Accepts both Chinese and English prompts, enabling flexible multilingual creation.
  • No cold starts: Optimized for responsive, ready-to-use inference with more predictable latency.
  • Affordable pricing: Delivers a strong balance of quality, reliability, and cost for scalable usage.

🛠️ Technical Specifications

ItemDetails
Model architectureProfessional-grade text-to-image model
Task typeText-to-image generation
InputText prompt
Output FormatImage
PromptSupports Chinese and English
Prompt rewritingAutomatic prompt optimization (enabled by default)
Resolution512×512 up to 2048×2048; auto-selected by the model when unspecified
Size formatSpecified as width*height, such as 10241024 or 1280720
Images per request1–6
SeedOptional; 0–2147483647 for reproducibility, random when unspecified
Quality positioningProfessional-grade, high-fidelity image generation
LatencyOptimized for responsive performance with no cold start

Sample Prompts

  • Chinese: 一张电影感十足的未来城市夜景,霓虹灯反射在雨后的街道上,超高细节,真实光影
  • Chinese: 极简风产品摄影,一只白色陶瓷杯置于浅灰背景中央,柔和棚拍光,干净构图
  • English: A cinematic portrait of a traveler standing in a desert at sunset, dramatic lighting, ultra-detailed, realistic style

💰 Pricing

ItemPrice
1K resolutions (e.g. 1024×1024, 1280×720, 768×1152)$0.04 / image
2K resolutions (e.g. 1536×1536, 1920×1080, 1080×1920)$0.075 / image
Unspecified size (smart resolution)Billed at the 2K rate ($0.075 / image)

Billed per generated image: a request producing n images is charged n times the applicable tier price. Each option in the size selector is labeled with its tier (1K / 2K).

💡 Best Use Cases

  • E-commerce and advertising: Generate product concepts, campaign visuals, and branded creative assets.
  • Social media content production: Create high-quality cover images, promotional graphics, and visual assets for fast-moving campaigns.
  • Design ideation and concept development: Help creative teams explore styles, compositions, and visual directions quickly.
  • Multilingual content workflows: Support teams working across Chinese and English prompt-based generation tasks.

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