Seedream 5.5 API
Generate and edit images with transparent backgrounds and legible text.
POST /v2/seedream-5.5 · 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 "seedream-5.5",
9 prompt="A seamstress guides an emerald sequined evening gown under the needle of a black cast-iron sewing machine, pinning a dart while loose silver threads trail across the oak worktable; rim light rakes along her dark hair, cheekbone and the sequins, a red felt pincushion bristling with pins beside a tall wooden spool rack.",
10 reference_images=[],
11 size="2K",
12 aspect_ratio="3:2",
13 background="opaque",
14 output_format="png",
15 watermark=False,
16)
17print(result["status"]) # COMPLETED
18print(result.get("output")) # model output (e.g. media URL)
19print(result["metrics"]["inference_time"]) # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient() # reads SEGMIND_API_KEY
25payload = {
26 "prompt": "A seamstress guides an emerald sequined evening gown under the needle of a black cast-iron sewing machine, pinning a dart while loose silver threads trail across the oak worktable; rim light rakes along her dark hair, cheekbone and the sequins, a red felt pincushion bristling with pins beside a tall wooden spool rack.",
27 "reference_images": [],
28 "size": "2K",
29 "aspect_ratio": "3:2",
30 "background": "opaque",
31 "output_format": "png",
32 "watermark": False,
33}
34job = client.submit_async("seedream-5.5", **payload)
35print(job.request_id) # available immediately
36try:
37 result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39 print("still running:", e.request_id)
40except InferenceFailed as e:
41 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 "seedream-5.5",
9 prompt="A seamstress guides an emerald sequined evening gown under the needle of a black cast-iron sewing machine, pinning a dart while loose silver threads trail across the oak worktable; rim light rakes along her dark hair, cheekbone and the sequins, a red felt pincushion bristling with pins beside a tall wooden spool rack.",
10 reference_images=[],
11 size="2K",
12 aspect_ratio="3:2",
13 background="opaque",
14 output_format="png",
15 watermark=False,
16)
17print(result["status"]) # COMPLETED
18print(result.get("output")) # model output (e.g. media URL)
19print(result["metrics"]["inference_time"]) # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient() # reads SEGMIND_API_KEY
25payload = {
26 "prompt": "A seamstress guides an emerald sequined evening gown under the needle of a black cast-iron sewing machine, pinning a dart while loose silver threads trail across the oak worktable; rim light rakes along her dark hair, cheekbone and the sequins, a red felt pincushion bristling with pins beside a tall wooden spool rack.",
27 "reference_images": [],
28 "size": "2K",
29 "aspect_ratio": "3:2",
30 "background": "opaque",
31 "output_format": "png",
32 "watermark": False,
33}
34job = client.submit_async("seedream-5.5", **payload)
35print(job.request_id) # available immediately
36try:
37 result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39 print("still running:", e.request_id)
40except InferenceFailed as e:
41 print("failed:", e.detail)API Endpoint
https://api.segmind.com/v1/seedream-5.5Parameters
promptrequiredstringDescribe the image: subject, style, lighting and composition. Put text you want rendered in quotes. With reference images, say what to keep from each.
aspect_ratiooptionalstringShape of the output. auto lets the model choose from the prompt and keeps an edit at its reference image's shape.
"auto""auto""1:1""4:3""3:4""16:9""9:16""3:2""2:3""21:9"backgroundoptionalstringtransparent returns a cut-out with an alpha channel (needs png); opaque always fills the background; auto decides from the prompt.
"auto""auto""transparent""opaque"output_formatoptionalstringFile format of the image. png keeps transparency; jpeg is smaller.
"png""png""jpeg"reference_imagesoptionalstring[]Up to 10 reference image URLs for editing, style or identity. Leave empty for text-to-image. Every reference image is billed.
sizeoptionalstringOutput resolution tier. Larger tiers cost more per image.
"2K""1K""1.5K""2K"watermarkoptionalbooleanAdds a visible watermark. Keep off for production assets.
falseResponse 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/seedream-5.5Submit — 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