Metinden görseleQwen 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/text-to-image. Görsel, video ve yüz değiştirme model API’lerine göz at. Bir modeli dene ve birleşik REST API ile entegre et.

İlgili modeller

Qwen Image 3.0 Pro Text to Image 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.
prompt *Prompttextarea—≤ 5000 chars
sizeSizetext—≤ 16 chars
nNumber of Imagesnumber11 ~ 6 · step 1
negative_promptNegative Prompttextarea——
prompt_extendPrompt Extendbooleantrue—
seedSeednumber—0 ~ 2147483647 · step 1

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.
imagesarray<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/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 in a futuristic botanical garden at dusk, soft rim light, intricate details, photorealistic, 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 in a futuristic botanical garden at dusk, soft rim light, intricate details, photorealistic, 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 in a futuristic botanical garden at dusk, soft rim light, intricate details, photorealistic, 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);

API belgeleri

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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