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WAN 2.7 converts images into videos (720p/1080p) with optional audio, supporting first and last frame control. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.

image-to-video
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$0.5cho mỗi lần chạy·~20 / $10

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A father and young daughter flying a green diamond kite together in a sunlit park. The man stands behind the girl, both arms raised holding the kite string, both gazing upward with joy. Lush green grass, dappled sunlight filtering through tree canopy in background. Camera slowly circles them from left to right at medium distance, slight crane up movement. Kite string sways gently in the breeze, kite dips and rises naturally. Warm golden afternoon light, soft lens flare, shallow depth of field with bokeh trees. Cinematic handheld feel

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README

Wan 2.7 Image-to-Video

Wan 2.7 Image-to-Video animates a reference image into a high-quality cinematic video clip. Upload a start frame, optionally provide an end frame for guided transitions, and describe the motion — the model generates smooth, natural video with optional audio synchronization and precise prompt control.

Why Choose This?

  • Image-grounded generation Start from a reference photo for precise visual control over subject appearance, environment, and composition.

  • Start and end frame guidance Provide both a starting image and an end frame to define exactly where the clip begins and finishes.

  • Audio input support Upload an audio track to guide the rhythm, mood, and pacing of the generated video.

  • Negative prompt support Specify what you don't want in the video for more precise control over the output.

  • Prompt expansion Enable enable_prompt_expansion to let the model automatically enrich and optimize your prompt before generation.

  • Resolution options Generate at 720p or 1080p to match your delivery requirements.

  • Reproducible results Use the seed parameter to lock in a specific output for exact reproduction.

Parameters

ParameterRequiredDescription
imageYesStart frame image to animate (URL or file upload).
promptYesText description of the motion, camera style, and scene atmosphere.
last_imageNoEnd frame image to define where the clip finishes.
audioNoOptional audio track to synchronize with the generated video.
negative_promptNoElements to exclude from the generated video.
resolutionNoOutput resolution: 720p (default) or 1080p.
durationNoClip length in seconds. Default: 5.
enable_prompt_expansionNoEnable automatic prompt optimization before generation. Default: off.
seedNoRandom seed for reproducible results. Use -1 for a random seed.

How to Use

  1. Upload your image — provide the start frame to animate via URL or drag-and-drop.
  2. Write your prompt — describe the motion, camera movement, and scene atmosphere. Use the Prompt Enhancer for better results.
  3. Upload last image (optional) — provide an end frame to guide where the clip finishes.
  4. Upload audio (optional) — provide an audio file or URL to synchronize the video.
  5. Add negative prompt (optional) — specify elements you want to exclude from the output.
  6. Select resolution — 720p for standard output, 1080p for higher-quality results.
  7. Set duration — choose your desired clip length in seconds.
  8. Enable prompt expansion (optional) — let the model automatically enrich your prompt before generation.
  9. Set seed (optional) — fix the seed to reproduce a specific result in future runs.
  10. Submit — generate, preview, and download your video.

Pricing

Duration720p1080p
5s$0.50$0.75
10s$1.00$1.50
15s$1.50$2.25

Billing Rules

  • 720p: $0.10 per second
  • 1080p: $0.15 per second (1.5× base rate)

Best Use Cases

  • Photo Animation — Bring portraits, landscapes, and lifestyle photos to life with natural cinematic motion.
  • Scene Transitions — Use start and end frames for smooth, controlled visual transitions.
  • Social Media Content — Animate reference images into short-form clips for Reels, TikTok, and Shorts.
  • Marketing & Advertising — Animate product and campaign images for promotional video content.
  • Music & Audio-Visual — Synchronize animated footage to a music track or voiceover.

Pro Tips

  • Use a high-quality, well-lit reference image with a clearly visible subject for the most natural animation.
  • Providing a last_image significantly improves motion direction and narrative coherence.
  • Use negative_prompt to avoid common artifacts like unwanted motion or blurry faces.
  • Enable prompt expansion for shorter or less detailed prompts to get richer output automatically.
  • Fix the seed once you find a result you like to iterate consistently across resolution and duration changes.

Notes

  • Both image and prompt are required fields; all other parameters are optional.
  • Ensure image and audio URLs are publicly accessible if using links rather than direct uploads.
  • Please ensure your content complies with usage policies.

Related Models

Lưu ý:Trang web này sử dụng các mô hình AI do bên thứ ba cung cấp. Giá trong tài liệu chỉ để tham khảo và có thể đã lỗi thời. Nút Generate hiển thị giá ước tính; phí cuối cùng của tác vụ sẽ được áp dụng.

Wan 2.7 Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Wan 2.7 Image To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "resolution": "720p",
    "duration": 5,
    "enable_prompt_expansion": false,
    "seed": -1
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "resolution": "720p",
        "duration": 5,
        "enable_prompt_expansion": false,
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
    "resolution": "720p",
    "duration": 5,
    "enable_prompt_expansion": False,
    "seed": -1
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/alibaba/wan-2.7/image-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = task.get("urls", {}).get("get") or f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Wan 2.7 Image To Video API — Frequently asked questions

What is the Wan 2.7 Image To Video API?

Wan 2.7 Image To Video is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. WAN 2.7 converts images into videos (720p/1080p) with optional audio, supporting first and last frame control. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Wan 2.7 Image To Video API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID. Poll the result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-wan-2.7-image-to-video.

How much does Wan 2.7 Image To Video cost per run?

Wan 2.7 Image To Video starts at $0.50 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Wan 2.7 Image To Video accept?

Key inputs: `prompt`, `image`, `audio`, `resolution`, `duration`, `seed`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/alibaba/alibaba-wan-2.7-image-to-video.

How long does Wan 2.7 Image To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 39 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Wan 2.7 Image To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Alibaba). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

Wan 2.7 Image to Video | Fast Image-to-Video API on WaveSpeedAI