Ideogram 4.5 Edit Serverless API
Precise image editing with masks, references, and legible text.
POST /v2/ideogram-4.5-edit · 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 "ideogram-4.5-edit",
9 image="https://segmind-resources.s3.amazonaws.com/input/ideogram-4.5-edit-src.jpg",
10 prompt="Paint the bold wordmark 'RAMPWORKS' in a 1970s chrome speed-script down the centre of the skateboard deck, with a smaller 'EST. 84' beneath it; keep the grip tape, trucks, wheels and concrete ground unchanged",
11 quality="medium",
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 "image": "https://segmind-resources.s3.amazonaws.com/input/ideogram-4.5-edit-src.jpg",
23 "prompt": "Paint the bold wordmark 'RAMPWORKS' in a 1970s chrome speed-script down the centre of the skateboard deck, with a smaller 'EST. 84' beneath it; keep the grip tape, trucks, wheels and concrete ground unchanged",
24 "quality": "medium",
25}
26job = client.submit_async("ideogram-4.5-edit", **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 "ideogram-4.5-edit",
9 image="https://segmind-resources.s3.amazonaws.com/input/ideogram-4.5-edit-src.jpg",
10 prompt="Paint the bold wordmark 'RAMPWORKS' in a 1970s chrome speed-script down the centre of the skateboard deck, with a smaller 'EST. 84' beneath it; keep the grip tape, trucks, wheels and concrete ground unchanged",
11 quality="medium",
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 "image": "https://segmind-resources.s3.amazonaws.com/input/ideogram-4.5-edit-src.jpg",
23 "prompt": "Paint the bold wordmark 'RAMPWORKS' in a 1970s chrome speed-script down the centre of the skateboard deck, with a smaller 'EST. 84' beneath it; keep the grip tape, trucks, wheels and concrete ground unchanged",
24 "quality": "medium",
25}
26job = client.submit_async("ideogram-4.5-edit", **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/ideogram-4.5-editParameters
imagerequiredstring (uri)The photo to edit (JPEG, PNG or WebP, up to 25MB, aspect 1:6 to 6:1). Unchanged pixels are kept at the original size.
"https://segmind-resources.s3.amazonaws.com/input/ideogram-4.5-edit-src.jpg"promptrequiredstringDescribe the change itself, not the mask. Put exact text in quotes and name the lettering style.
"Paint the bold wordmark 'RAMPWORKS' in a 1970s chrome speed-script down the centre of the skateboard deck, with a smaller 'EST. 84' beneath it; keep the grip tape, trucks, wheels and concrete ground unchanged"enable_copyright_detectionoptionalbooleanRuns a post-generation copyright check (adds latency). Leave off unless flagged images must be withheld.
falsemaskoptionalstring (uri)Optional black-and-white mask, the same size as the image, marking the region to edit (either colour can mark it). Using a mask limits reference images to 3.
qualityoptionalstringRender quality and price tier. Use medium for most edits, high for print-grade detail.
"medium""very_low""low""medium""high"reference_imagesoptionalstring[]Up to 4 images (3 with a mask) to bring in a product, logo, pattern, or style.
[]seedoptionalintegerRandom seed (0 to 2147483647) for reproducible results. Omit for a new variation each run.
Response Type
Returns: Image
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/ideogram-4.5-editSubmit — 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