Motion Control SVD Serverless API
Motion Control SVD is an innovative deep learning framework that breathes life into static images. By intelligently managing both camera and object motion, it empowers creators to achieve precise animation effects.
POST /v2/motionctrl-svd · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "input_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/motion-control-svd/motionctrl_ip.png",
11 "fps": 7,
12 "motion": "CW",
13 "motion_bucket_id": 127,
14 "cond_aug": 0.02,
15 "seed": 985445,
16 "decoding_t": 1,
17 "maintain_aspect_ratio": True,
18 "motion_speed": 1,
19 "base64": False,
20}
21job = client.submit_async("motionctrl-svd", **payload)
22print(job.request_id) # available immediately
23try:
24 result = job.wait(timeout=900, interval=2.0)
25 print(result["status"]) # COMPLETED
26 print(result.get("output")) # model output (e.g. video URL)
27except InferenceTimeout as e:
28 print("still running:", e.request_id) # re-poll later with this id
29except InferenceFailed as e:
30 print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("motionctrl-svd", **payload) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "input_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/motion-control-svd/motionctrl_ip.png",
11 "fps": 7,
12 "motion": "CW",
13 "motion_bucket_id": 127,
14 "cond_aug": 0.02,
15 "seed": 985445,
16 "decoding_t": 1,
17 "maintain_aspect_ratio": True,
18 "motion_speed": 1,
19 "base64": False,
20}
21job = client.submit_async("motionctrl-svd", **payload)
22print(job.request_id) # available immediately
23try:
24 result = job.wait(timeout=900, interval=2.0)
25 print(result["status"]) # COMPLETED
26 print(result.get("output")) # model output (e.g. video URL)
27except InferenceTimeout as e:
28 print("still running:", e.request_id) # re-poll later with this id
29except InferenceFailed as e:
30 print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("motionctrl-svd", **payload)API Endpoint
https://api.segmind.com/v1/motionctrl-svdParameters
cond_augrequirednumberConditional augmentation
0.02Range: 0 - 1fpsrequiredintegerFrames per second for the video
7Range: 5 - 30input_imagerequiredstring (uri)Input image
"https://segmind-sd-models.s3.amazonaws.com/display_images/motion-control-svd/motionctrl_ip.png"motionrequiredstringMotion type
"CW""Pan Up""Pan Down""Pan Right""Pan Left""Zoom In""Zoom Out""CW""ACW"motion_bucket_idrequiredintegerMotion bucket ID
127Range: 127 - 255base64optionalbooleanBase64 encoding of the output image.
falsedecoding_toptionalintegerDecoding time
1maintain_aspect_ratiooptionalbooleanMaintain aspect ratio
truemotion_speedoptionalnumberSpeed of the motion
1Range: 0 - 10seedoptionalintegerSeed for random number generation
985445Response Type
Returns: Video
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/motionctrl-svdSubmit — 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