Wan 2.2 Image to Video Flash Serverless API
Convert a single image into a coherent dynamic video.
POST /v2/wan-2.2-i2v-flash · 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 "prompt": "4K cinematic close-up of a bloodied, battle-worn Viking warrior kneeling in a snowy sacred cave, eyes wide and glassy with intensity.His long braided blonde beard is frosted with snow, blood streaks run down his face and shoulders. The background is dimly lit by a flickering flame behind him — ancient carvings and symbols glow faintly on the icy stone wall. Camera slowly pushes in on his face as snow swirls in slow motion, and he breathes heavily, lips slightly parted.Suddenly, subtle glitch effects ripple across his face — like time distorting — as if a divine force is entering his mind.In the distance, an echo of a woman’s voice is heard whispering prophecy. As his eyes narrow, a faint blue rune glow reflects in his iris, foreshadowing something ancient and powerful.The camera holds as his expression changes — from fear… to understanding… to resolve.",
11 "image": "https://segmind-resources.s3.amazonaws.com/output/310df0db-0c5e-4c5a-8c78-5db73fbc7c91-bcd49a2d-a0a9-465e-aefd-ca9b5ebb11a7.jpeg",
12 "negative_prompt": "Avoid depicting busy urban environments.",
13 "resolution": "720P",
14 "prompt_extend": True,
15 "watermark": False,
16}
17job = client.submit_async("wan-2.2-i2v-flash", **payload)
18print(job.request_id) # available immediately
19try:
20 result = job.wait(timeout=900, interval=2.0)
21 print(result["status"]) # COMPLETED
22 print(result.get("output")) # model output (e.g. video URL)
23except InferenceTimeout as e:
24 print("still running:", e.request_id) # re-poll later with this id
25except InferenceFailed as e:
26 print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("wan-2.2-i2v-flash", **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 "prompt": "4K cinematic close-up of a bloodied, battle-worn Viking warrior kneeling in a snowy sacred cave, eyes wide and glassy with intensity.His long braided blonde beard is frosted with snow, blood streaks run down his face and shoulders. The background is dimly lit by a flickering flame behind him — ancient carvings and symbols glow faintly on the icy stone wall. Camera slowly pushes in on his face as snow swirls in slow motion, and he breathes heavily, lips slightly parted.Suddenly, subtle glitch effects ripple across his face — like time distorting — as if a divine force is entering his mind.In the distance, an echo of a woman’s voice is heard whispering prophecy. As his eyes narrow, a faint blue rune glow reflects in his iris, foreshadowing something ancient and powerful.The camera holds as his expression changes — from fear… to understanding… to resolve.",
11 "image": "https://segmind-resources.s3.amazonaws.com/output/310df0db-0c5e-4c5a-8c78-5db73fbc7c91-bcd49a2d-a0a9-465e-aefd-ca9b5ebb11a7.jpeg",
12 "negative_prompt": "Avoid depicting busy urban environments.",
13 "resolution": "720P",
14 "prompt_extend": True,
15 "watermark": False,
16}
17job = client.submit_async("wan-2.2-i2v-flash", **payload)
18print(job.request_id) # available immediately
19try:
20 result = job.wait(timeout=900, interval=2.0)
21 print(result["status"]) # COMPLETED
22 print(result.get("output")) # model output (e.g. video URL)
23except InferenceTimeout as e:
24 print("still running:", e.request_id) # re-poll later with this id
25except InferenceFailed as e:
26 print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("wan-2.2-i2v-flash", **payload)API Endpoint
https://api.segmind.com/v1/wan-2.2-i2v-flashParameters
imagerequiredstring (uri)Base image establishing the video's visual theme.
promptrequiredstringDescriptive prompt guiding video generation with vivid storytelling.
negative_promptoptionalstringElements to exclude from final video output.
"Avoid depicting busy urban environments."prompt_extendoptionalbooleanAuto-enhances prompt for better results on complex descriptions.
trueresolutionoptionalstringOutput quality. 720P for clarity, 480P for faster processing.
"720P""480P""720P"seedoptionalintegerControls generation randomness. Set for consistency, blank for variation.
nullwatermarkoptionalbooleanAdds AI Generated tag to output for content transparency.
falseResponse 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/wan-2.2-i2v-flashSubmit — 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