Ideogram Text To Image Serverless API
Ideogram Text to Image: Turn your ideas into stunning visuals instantly with this powerful AI tool. Create captivating designs, realistic images, and more. Perfect for artists, designers, and anyone seeking creative inspiration.
POST /v2/ideogram-txt-2-img · 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-txt-2-img",
9 magic_prompt_option="AUTO",
10 negative_prompt="low quality,blurry",
11 prompt="A cinematic black and white medium shot of Albert Einstein in a lab. He is writing a text and looking at the blackboard. The text on the blackboard says 'Stay calm and use Segmind'. The background is filled with scientific equipment.",
12 resolution="RESOLUTION_1024_1024",
13 seed=56698,
14 style_type="GENERAL",
15)
16print(result["status"]) # COMPLETED
17print(result.get("output")) # model output (e.g. media URL)
18print(result["metrics"]["inference_time"]) # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient() # reads SEGMIND_API_KEY
24payload = {
25 "magic_prompt_option": "AUTO",
26 "negative_prompt": "low quality,blurry",
27 "prompt": "A cinematic black and white medium shot of Albert Einstein in a lab. He is writing a text and looking at the blackboard. The text on the blackboard says 'Stay calm and use Segmind'. The background is filled with scientific equipment.",
28 "resolution": "RESOLUTION_1024_1024",
29 "seed": 56698,
30 "style_type": "GENERAL",
31}
32job = client.submit_async("ideogram-txt-2-img", **payload)
33print(job.request_id) # available immediately
34try:
35 result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37 print("still running:", e.request_id)
38except InferenceFailed as e:
39 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-txt-2-img",
9 magic_prompt_option="AUTO",
10 negative_prompt="low quality,blurry",
11 prompt="A cinematic black and white medium shot of Albert Einstein in a lab. He is writing a text and looking at the blackboard. The text on the blackboard says 'Stay calm and use Segmind'. The background is filled with scientific equipment.",
12 resolution="RESOLUTION_1024_1024",
13 seed=56698,
14 style_type="GENERAL",
15)
16print(result["status"]) # COMPLETED
17print(result.get("output")) # model output (e.g. media URL)
18print(result["metrics"]["inference_time"]) # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient() # reads SEGMIND_API_KEY
24payload = {
25 "magic_prompt_option": "AUTO",
26 "negative_prompt": "low quality,blurry",
27 "prompt": "A cinematic black and white medium shot of Albert Einstein in a lab. He is writing a text and looking at the blackboard. The text on the blackboard says 'Stay calm and use Segmind'. The background is filled with scientific equipment.",
28 "resolution": "RESOLUTION_1024_1024",
29 "seed": 56698,
30 "style_type": "GENERAL",
31}
32job = client.submit_async("ideogram-txt-2-img", **payload)
33print(job.request_id) # available immediately
34try:
35 result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37 print("still running:", e.request_id)
38except InferenceFailed as e:
39 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/ideogram-txt-2-imgParameters
promptrequiredstringPrompt to render
color_paletteoptionalany | anyA color palette for generation
Preset Color PaletteoptionalanynamerequiredstringCustom Color Paletteoptionalanymembersrequiredobject[]magic_prompt_optionoptionalstringOption for magic prompt
"AUTO""AUTO""ON""OFF"negative_promptoptionalstringNegative prompt to avoid specific elements
resolutionoptionalstringResolution of the output image
"RESOLUTION_1024_1024""RESOLUTION_512_1536""RESOLUTION_576_1408""RESOLUTION_576_1472""RESOLUTION_576_1536""RESOLUTION_640_1024""RESOLUTION_640_1344""RESOLUTION_640_1408""RESOLUTION_640_1472""RESOLUTION_640_1536""RESOLUTION_704_1152"+68 moreseedoptionalintegerSeed for random generation
style_typeoptionalstringStyle type for the output
"GENERAL""GENERAL""REALISTIC""DESIGN""RENDER_3D""ANIME"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/ideogram-txt-2-imgSubmit — 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