FLUX 3 Klein Text to Image API
Text-to-image with bounding-box layout control, up to 4K.
POST /v2/flux-3-klein-text-to-image · 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 "flux-3-klein-text-to-image",
9 prompt="Top-down flat-lay on a reclaimed-wood workbench, four components arranged in a clean grid with even daylight: a disassembled brass pocket-watch movement <watch>, a tight coil of bright copper wire <wire>, a teal printed circuit board <board>, and a fan of red-handled jeweler's screwdrivers <drivers>, with a small white index card <label> in the centre. [{\"id\": \"watch\", \"bbox\": [60, 60, 470, 470], \"desc\": \"disassembled brass pocket-watch movement with exposed gears\"}, {\"id\": \"wire\", \"bbox\": [60, 530, 470, 940], \"desc\": \"tightly wound coil of bright copper wire\"}, {\"id\": \"board\", \"bbox\": [530, 60, 940, 470], \"desc\": \"teal printed circuit board with silver solder points\"}, {\"id\": \"drivers\", \"bbox\": [530, 530, 940, 940], \"desc\": \"fan of six red-handled jeweler's screwdrivers\"}, {\"id\": \"label\", \"bbox\": [420, 300, 580, 700], \"desc\": \"a small white index card with the handwritten words BENCH KIT No. 3\"}]",
10 resolution="2k",
11 aspect_ratio="1:1",
12 output_format="jpeg",
13 steps=16,
14 safety_tolerance=2,
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 "prompt": "Top-down flat-lay on a reclaimed-wood workbench, four components arranged in a clean grid with even daylight: a disassembled brass pocket-watch movement <watch>, a tight coil of bright copper wire <wire>, a teal printed circuit board <board>, and a fan of red-handled jeweler's screwdrivers <drivers>, with a small white index card <label> in the centre. [{\"id\": \"watch\", \"bbox\": [60, 60, 470, 470], \"desc\": \"disassembled brass pocket-watch movement with exposed gears\"}, {\"id\": \"wire\", \"bbox\": [60, 530, 470, 940], \"desc\": \"tightly wound coil of bright copper wire\"}, {\"id\": \"board\", \"bbox\": [530, 60, 940, 470], \"desc\": \"teal printed circuit board with silver solder points\"}, {\"id\": \"drivers\", \"bbox\": [530, 530, 940, 940], \"desc\": \"fan of six red-handled jeweler's screwdrivers\"}, {\"id\": \"label\", \"bbox\": [420, 300, 580, 700], \"desc\": \"a small white index card with the handwritten words BENCH KIT No. 3\"}]",
26 "resolution": "2k",
27 "aspect_ratio": "1:1",
28 "output_format": "jpeg",
29 "steps": 16,
30 "safety_tolerance": 2,
31}
32job = client.submit_async("flux-3-klein-text-to-image", **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 "flux-3-klein-text-to-image",
9 prompt="Top-down flat-lay on a reclaimed-wood workbench, four components arranged in a clean grid with even daylight: a disassembled brass pocket-watch movement <watch>, a tight coil of bright copper wire <wire>, a teal printed circuit board <board>, and a fan of red-handled jeweler's screwdrivers <drivers>, with a small white index card <label> in the centre. [{\"id\": \"watch\", \"bbox\": [60, 60, 470, 470], \"desc\": \"disassembled brass pocket-watch movement with exposed gears\"}, {\"id\": \"wire\", \"bbox\": [60, 530, 470, 940], \"desc\": \"tightly wound coil of bright copper wire\"}, {\"id\": \"board\", \"bbox\": [530, 60, 940, 470], \"desc\": \"teal printed circuit board with silver solder points\"}, {\"id\": \"drivers\", \"bbox\": [530, 530, 940, 940], \"desc\": \"fan of six red-handled jeweler's screwdrivers\"}, {\"id\": \"label\", \"bbox\": [420, 300, 580, 700], \"desc\": \"a small white index card with the handwritten words BENCH KIT No. 3\"}]",
10 resolution="2k",
11 aspect_ratio="1:1",
12 output_format="jpeg",
13 steps=16,
14 safety_tolerance=2,
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 "prompt": "Top-down flat-lay on a reclaimed-wood workbench, four components arranged in a clean grid with even daylight: a disassembled brass pocket-watch movement <watch>, a tight coil of bright copper wire <wire>, a teal printed circuit board <board>, and a fan of red-handled jeweler's screwdrivers <drivers>, with a small white index card <label> in the centre. [{\"id\": \"watch\", \"bbox\": [60, 60, 470, 470], \"desc\": \"disassembled brass pocket-watch movement with exposed gears\"}, {\"id\": \"wire\", \"bbox\": [60, 530, 470, 940], \"desc\": \"tightly wound coil of bright copper wire\"}, {\"id\": \"board\", \"bbox\": [530, 60, 940, 470], \"desc\": \"teal printed circuit board with silver solder points\"}, {\"id\": \"drivers\", \"bbox\": [530, 530, 940, 940], \"desc\": \"fan of six red-handled jeweler's screwdrivers\"}, {\"id\": \"label\", \"bbox\": [420, 300, 580, 700], \"desc\": \"a small white index card with the handwritten words BENCH KIT No. 3\"}]",
26 "resolution": "2k",
27 "aspect_ratio": "1:1",
28 "output_format": "jpeg",
29 "steps": 16,
30 "safety_tolerance": 2,
31}
32job = client.submit_async("flux-3-klein-text-to-image", **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/flux-3-klein-text-to-imageParameters
promptrequiredstringDescribe subject, composition, lighting and style. Supports bounding-box layouts: tag elements with <id> and append a JSON array of {id, bbox:[top,left,bottom,right] on a 0-1000 grid, desc}.
"Top-down flat-lay on a reclaimed-wood workbench, four components arranged in a clean grid with even daylight: a disassembled brass pocket-watch movement <watch>, a tight coil of bright copper wire <wire>, a teal printed circuit board <board>, and a fan of red-handled jeweler's screwdrivers <drivers>, with a small white index card <label> in the centre. [{\"id\": \"watch\", \"bbox\": [60, 60, 470, 470], \"desc\": \"disassembled brass pocket-watch movement with exposed gears\"}, {\"id\": \"wire\", \"bbox\": [60, 530, 470, 940], \"desc\": \"tightly wound coil of bright copper wire\"}, {\"id\": \"board\", \"bbox\": [530, 60, 940, 470], \"desc\": \"teal printed circuit board with silver solder points\"}, {\"id\": \"drivers\", \"bbox\": [530, 530, 940, 940], \"desc\": \"fan of six red-handled jeweler's screwdrivers\"}, {\"id\": \"label\", \"bbox\": [420, 300, 580, 700], \"desc\": \"a small white index card with the handwritten words BENCH KIT No. 3\"}]"aspect_ratiooptionalstringauto picks a ratio from the prompt, else 16:9. Pick a fixed ratio for a known canvas.
"auto""auto""21:9""2:1""16:9""3:2""7:5""4:3""5:4""1:1""4:5"+6 moreoutput_formatoptionalstringjpeg (smaller) or png (lossless).
"jpeg""jpeg""png"resolutionoptionalstringOutput size tier (equal pixel area; exact dimensions follow the aspect ratio). Price scales with the tier.
"1k""768sq""1k""1.5k""2k""4k"safety_toleranceoptionalintegerInput and output moderation level: 0 is strictest, 4 most permissive.
2Range: 0 - 4seedoptionalintegerFix the seed to reproduce a result; leave empty for a random one.
stepsoptionalintegerDenoising steps of the distilled model. 16 is full quality; fewer is faster and rougher. Same price either way.
16Range: 1 - 16Response 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/flux-3-klein-text-to-imageSubmit — 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