Pixverse Mimic Serverless API
Transfer motion from reference videos onto still images.
POST /v2/pixverse-mimic · 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 "video_url": "https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-reference.mp4",
11 "image_url": "https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-subject.png",
12 "quality": "540p",
13}
14job = client.submit_async("pixverse-mimic", **payload)
15print(job.request_id) # available immediately
16try:
17 result = job.wait(timeout=900, interval=2.0)
18 print(result["status"]) # COMPLETED
19 print(result.get("output")) # model output (e.g. video URL)
20except InferenceTimeout as e:
21 print("still running:", e.request_id) # re-poll later with this id
22except InferenceFailed as e:
23 print("failed:", e.detail)
24
25# Fast models (<=600s) can use the one-liner instead:
26# result = segmind.run("pixverse-mimic", **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 "video_url": "https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-reference.mp4",
11 "image_url": "https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-subject.png",
12 "quality": "540p",
13}
14job = client.submit_async("pixverse-mimic", **payload)
15print(job.request_id) # available immediately
16try:
17 result = job.wait(timeout=900, interval=2.0)
18 print(result["status"]) # COMPLETED
19 print(result.get("output")) # model output (e.g. video URL)
20except InferenceTimeout as e:
21 print("still running:", e.request_id) # re-poll later with this id
22except InferenceFailed as e:
23 print("failed:", e.detail)
24
25# Fast models (<=600s) can use the one-liner instead:
26# result = segmind.run("pixverse-mimic", **payload)API Endpoint
https://api.segmind.com/v1/pixverse-mimicParameters
video_urlrequiredstring (uri)URL of the reference video with clear human motion (mp4/mov, ≤100 MB, ≤30s). Use short clips (<10s) with a single person for best results.
"https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-reference.mp4"imageoptionalstring (uri)Base64-encoded subject image as alternative to image_url. Use when uploading directly instead of hosting the image.
image_urloptionalstring (uri)URL of the subject image to animate (person or animal). Use full-body shots with clean backgrounds for best motion transfer.
"https://segmind-resources.s3.amazonaws.com/input/pixverse-mimic-subject.png"qualityoptionalstringOutput video resolution. 540p balances quality and speed; use 720p for final renders, 360p for quick drafts.
"540p""360p""540p""720p"Response 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/pixverse-mimicSubmit — 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