Qwen Image 2512 Serverless API
Photorealistic image generation with precise text description following.
POST /v2/qwen-image-2512 · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "qwen-image-2512",
9 prompt="A 20-year-old East Asian girl with delicate, charming features and large, bright brown eyes—expressive and lively, with a cheerful or subtly smiling expression. Her naturally wavy long hair is either loose or tied in twin ponytails. She has fair skin and light makeup accentuating her youthful freshness. She wears a modern, cute dress or relaxed outfit in bright, soft colors—lightweight fabric, minimalist cut. She stands indoors at an anime convention, surrounded by banners, posters, or stalls. Lighting is typical indoor illumination—no staged lighting—and the image resembles a casual iPhone snapshot: unpretentious composition, yet brimming with vivid, fresh, youthful charm.",
10 steps=6,
11 seed=-1,
12 height=1024,
13 width=1024,
14 image_format="webp",
15 quality=90,
16 base_64=False,
17)
18print(result["status"]) # COMPLETED
19print(result.get("output")) # model output (e.g. media URL)
20print(result["metrics"]["inference_time"]) # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient() # reads SEGMIND_API_KEY
26payload = {
27 "prompt": "A 20-year-old East Asian girl with delicate, charming features and large, bright brown eyes—expressive and lively, with a cheerful or subtly smiling expression. Her naturally wavy long hair is either loose or tied in twin ponytails. She has fair skin and light makeup accentuating her youthful freshness. She wears a modern, cute dress or relaxed outfit in bright, soft colors—lightweight fabric, minimalist cut. She stands indoors at an anime convention, surrounded by banners, posters, or stalls. Lighting is typical indoor illumination—no staged lighting—and the image resembles a casual iPhone snapshot: unpretentious composition, yet brimming with vivid, fresh, youthful charm.",
28 "steps": 6,
29 "seed": -1,
30 "height": 1024,
31 "width": 1024,
32 "image_format": "webp",
33 "quality": 90,
34 "base_64": False,
35}
36job = client.submit_async("qwen-image-2512", **payload)
37print(job.request_id) # available immediately
38try:
39 result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41 print("still running:", e.request_id)
42except InferenceFailed as e:
43 print("failed:", e.detail) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3import segmind
4
5# Async (v2): submit to the queue and block until COMPLETED.
6# run() returns the final result dict (600s deadline, 1.0s poll by default).
7result = segmind.run(
8 "qwen-image-2512",
9 prompt="A 20-year-old East Asian girl with delicate, charming features and large, bright brown eyes—expressive and lively, with a cheerful or subtly smiling expression. Her naturally wavy long hair is either loose or tied in twin ponytails. She has fair skin and light makeup accentuating her youthful freshness. She wears a modern, cute dress or relaxed outfit in bright, soft colors—lightweight fabric, minimalist cut. She stands indoors at an anime convention, surrounded by banners, posters, or stalls. Lighting is typical indoor illumination—no staged lighting—and the image resembles a casual iPhone snapshot: unpretentious composition, yet brimming with vivid, fresh, youthful charm.",
10 steps=6,
11 seed=-1,
12 height=1024,
13 width=1024,
14 image_format="webp",
15 quality=90,
16 base_64=False,
17)
18print(result["status"]) # COMPLETED
19print(result.get("output")) # model output (e.g. media URL)
20print(result["metrics"]["inference_time"]) # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient() # reads SEGMIND_API_KEY
26payload = {
27 "prompt": "A 20-year-old East Asian girl with delicate, charming features and large, bright brown eyes—expressive and lively, with a cheerful or subtly smiling expression. Her naturally wavy long hair is either loose or tied in twin ponytails. She has fair skin and light makeup accentuating her youthful freshness. She wears a modern, cute dress or relaxed outfit in bright, soft colors—lightweight fabric, minimalist cut. She stands indoors at an anime convention, surrounded by banners, posters, or stalls. Lighting is typical indoor illumination—no staged lighting—and the image resembles a casual iPhone snapshot: unpretentious composition, yet brimming with vivid, fresh, youthful charm.",
28 "steps": 6,
29 "seed": -1,
30 "height": 1024,
31 "width": 1024,
32 "image_format": "webp",
33 "quality": 90,
34 "base_64": False,
35}
36job = client.submit_async("qwen-image-2512", **payload)
37print(job.request_id) # available immediately
38try:
39 result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41 print("still running:", e.request_id)
42except InferenceFailed as e:
43 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/qwen-image-2512Parameters
promptrequiredstringText prompt describing the desired image
base_64optionalbooleanReturn image as base64 encoded string
falseheightoptionalintegerOutput image height in pixels
1024Range: 256 - 2048image_formatoptionalstringOutput image format
"webp""jpeg""png""webp"qualityoptionalintegerOutput image quality (1-100)
90Range: 1 - 100seedoptionalintegerRandom seed for reproducibility. Use -1 for random
-1Range: -1 - 92147483647stepsoptionalintegerNumber of inference steps
6Range: 1 - 75widthoptionalintegerOutput image width in pixels
1024Range: 256 - 2048Response Type
Returns: Text/JSON
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/qwen-image-2512Submit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out