import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "klingai/avatar-standard", "prompt": "A serene timelapse of clouds over a mountain range" }, ).json() gid = job["id"] while True: res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json() if res.get("status") in ("completed", "error"): break time.sleep(5) print(res["video"]["url"])
const headers = { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "klingai/avatar-standard", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json(); } while (!["completed", "error"].includes(res.status)); console.log(res.video.url);
# submit the generation — the response contains the job "id" curl -X POST https://api.aimlapi.com/v2/video/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"klingai/avatar-standard","prompt":"A serene timelapse of clouds over a mountain range"}' # then poll until status is "completed" — video.url holds the result curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Kling Avatar Standard This page | Video generation | |||
| Video generation | ||||
| Video generation | ||||
| Video generation | ||||
| Cinematic video + native audio |
Kling Avatar Standard takes image as input and returns video.
Kling Avatar Standard is priced at $0.0728 / sec.
Kling Avatar Standard is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Kling Avatar Standard accepts image input as well as a text prompt.
Kling Avatar Standard was built by Kling AI.
Use klingai/avatar-standard as the model id on AI/ML API.
Yes. Kling Avatar Standard is served through AI/ML API, so the same key and endpoint format used for other models applies.
No. It works from an image input and generates video, using an Image → Video modality.
Yes, it creates videos from avatar reference images with audio synchronization.