Imagen 4 Serverless API
Imagen 4 is Google’s most advanced AI image generation model, creating detailed, photorealistic or abstract images from text prompts. It excels at fine details and accurate text, perfect for professional visuals like posters and presentations.
POST /v2/imagen-4 · 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 "imagen-4",
9 prompt="A cozy cabin in the snowy mountains at sunrise, soft warm light, ultra-detailed, cinematic atmosphere",
10 negative_prompt="blurry, pixelated",
11 aspect_ratio="4:3",
12)
13print(result["status"]) # COMPLETED
14print(result.get("output")) # model output (e.g. media URL)
15print(result["metrics"]["inference_time"]) # server compute seconds
16
17# --- Or submit + poll manually (track request_id, control the cadence) ---
18from segmind import SegmindClient, InferenceFailed, InferenceTimeout
19
20client = SegmindClient() # reads SEGMIND_API_KEY
21payload = {
22 "prompt": "A cozy cabin in the snowy mountains at sunrise, soft warm light, ultra-detailed, cinematic atmosphere",
23 "negative_prompt": "blurry, pixelated",
24 "aspect_ratio": "4:3",
25}
26job = client.submit_async("imagen-4", **payload)
27print(job.request_id) # available immediately
28try:
29 result = job.wait(timeout=600, interval=1.0)
30except InferenceTimeout as e:
31 print("still running:", e.request_id)
32except InferenceFailed as e:
33 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 "imagen-4",
9 prompt="A cozy cabin in the snowy mountains at sunrise, soft warm light, ultra-detailed, cinematic atmosphere",
10 negative_prompt="blurry, pixelated",
11 aspect_ratio="4:3",
12)
13print(result["status"]) # COMPLETED
14print(result.get("output")) # model output (e.g. media URL)
15print(result["metrics"]["inference_time"]) # server compute seconds
16
17# --- Or submit + poll manually (track request_id, control the cadence) ---
18from segmind import SegmindClient, InferenceFailed, InferenceTimeout
19
20client = SegmindClient() # reads SEGMIND_API_KEY
21payload = {
22 "prompt": "A cozy cabin in the snowy mountains at sunrise, soft warm light, ultra-detailed, cinematic atmosphere",
23 "negative_prompt": "blurry, pixelated",
24 "aspect_ratio": "4:3",
25}
26job = client.submit_async("imagen-4", **payload)
27print(job.request_id) # available immediately
28try:
29 result = job.wait(timeout=600, interval=1.0)
30except InferenceTimeout as e:
31 print("still running:", e.request_id)
32except InferenceFailed as e:
33 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/imagen-4Parameters
promptrequiredstringDescribes the scene or subject. Try 'A serene mountain landscape at sunset' for scenic compositions.
"A cozy cabin in the snowy mountains at sunrise, soft warm light, ultra-detailed, cinematic atmosphere"aspect_ratiooptionalstringDetermines the image's shape. Choose '4:3' for photos or '16:9' for widescreen imagery.
"4:3""1:1""4:3""3:4""9:16""16:9"negative_promptoptionalstringSpecifies elements to avoid. Use 'blurry, pixelated' to enhance image clarity.
"blurry, pixelated"Response 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/imagen-4Submit — 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