Easy Animate Serverless API
Easy Animate is a state-of-the-art image to animation model to convert static images into dynamic animations with remarkable accuracy and fluidity.
POST /v2/easy-animate · 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/easy-animate/easy-animate-ip.png",
11 "prompt": "photo of a beautiful woman in a night party. The video is of high quality, and the view is very clear. High quality, masterpiece, best quality, highres, ultra-detailed, fantastic",
12 "negative_prompt": "The video is not of a high quality, it has a low resolution, and the audio quality is not clear. Strange motion trajectory, a poor composition and deformed video, low resolution, duplicate and ugly, strange body structure, long and strange neck, bad teeth, bad eyes, bad limbs, bad hands, rotating camera, blurry camera, shaking camera. Deformation, low-resolution, blurry, ugly, distortion.",
13 "video_length": 72,
14 "seed": 43,
15 "steps": 25,
16 "cfg": 7,
17 "scheduler": "Euler",
18 "frame_rate": 24,
19}
20job = client.submit_async("easy-animate", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("easy-animate", **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/easy-animate/easy-animate-ip.png",
11 "prompt": "photo of a beautiful woman in a night party. The video is of high quality, and the view is very clear. High quality, masterpiece, best quality, highres, ultra-detailed, fantastic",
12 "negative_prompt": "The video is not of a high quality, it has a low resolution, and the audio quality is not clear. Strange motion trajectory, a poor composition and deformed video, low resolution, duplicate and ugly, strange body structure, long and strange neck, bad teeth, bad eyes, bad limbs, bad hands, rotating camera, blurry camera, shaking camera. Deformation, low-resolution, blurry, ugly, distortion.",
13 "video_length": 72,
14 "seed": 43,
15 "steps": 25,
16 "cfg": 7,
17 "scheduler": "Euler",
18 "frame_rate": 24,
19}
20job = client.submit_async("easy-animate", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("easy-animate", **payload)API Endpoint
https://api.segmind.com/v1/easy-animateParameters
input_imagerequiredstring (uri)URL of the input image
"https://segmind-sd-models.s3.amazonaws.com/display_images/easy-animate/easy-animate-ip.png"promptrequiredstringText prompt describing the desired video
"photo of a beautiful woman in a night party. The video is of high quality, and the view is very clear. High quality, masterpiece, best quality, highres, ultra-detailed, fantastic"cfgoptionalnumberClassifier-Free Guidance scale
7Range: 4 - 15frame_rateoptionalnumberFrame rate of the generated video
24Range: 20 - 27negative_promptoptionalstringNegative prompt to exclude specific details
"The video is not of a high quality, it has a low resolution, and the audio quality is not clear. Strange motion trajectory, a poor composition and deformed video, low resolution, duplicate and ugly, strange body structure, long and strange neck, bad teeth, bad eyes, bad limbs, bad hands, rotating camera, blurry camera, shaking camera. Deformation, low-resolution, blurry, ugly, distortion."scheduleroptionalstringScheduler for the video generation process
"Euler""Euler""Euler A""DPM++""PNDM""DDIM"seedoptionalintegerSeed for random number generation
43stepsoptionalintegerNumber of inference steps for generating the video
25Range: 20 - 50video_lengthoptionalintegerLength of the generated video in seconds
72Range: 40 - 136Response 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/easy-animateSubmit — 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