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Wan 3.0 Image to Video animates a first-frame image into a cinematic video, with optional last-frame guidance, flexible 2-30 second duration, aspect ratio control, optional audio, and deep-thinking controls for high-quality motion and scene continuity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

image-to-video
Input

Idle

$0.6per run·~16 / $10

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ExamplesView all

The dragon slowly opens its eyes, leaves move from its breathing, glowing particles float around the forest, the ranger slowly steps forward and reaches out a hand. The camera slowly circles around both characters revealing the enormous scale difference.

Related Models

README

Wan 3.0 Image-to-Video

Wan 3.0 Image-to-Video animates a first-frame image into a coherent video with optional last-frame guidance, audio generation, and deep-thinking mode. It preserves the input image's subject and composition while adding prompt-guided motion, camera movement, and scene progression.

Parameters

ParameterRequiredDescription
imageYesFirst-frame image URL or Base64-encoded data.
last_imageNoOptional last-frame image used to guide the ending of the video.
promptYesText prompt describing the desired motion, action, scene, camera movement, lighting, and style.
resolutionNoOutput resolution: 480p, 720p, or 1080p. Default: 720p.
aspect_ratioNoOutput aspect ratio. If omitted, the output adapts to the input image.
durationNoOutput duration in seconds. Range: 2–30. Default: 5.
thinking_modeNoEnable deep-thinking mode for more deliberate prompt interpretation. Default: false.
enable_audioNoInclude audio in the output. Default: true.
seedNoRandom seed from 0 to 2147483647.

How to Use

  1. Upload the first-frame image — Provide the image that should guide the subject, composition, and starting frame.
  2. Add last-frame guidance optional — Use last_image when you want to control the final frame or ending direction.
  3. Write your prompt — Describe the motion, action, camera movement, lighting, mood, and scene progression.
  4. Choose resolution — Use 480p for lower-cost drafts, 720p for balanced output, or 1080p for higher quality.
  5. Set duration — Choose a duration from 2 to 30 seconds.
  6. Configure audio optional — Keep enable_audio enabled when audio is needed.
  7. Enable thinking mode optional — Use thinking_mode for more complex motion or composition instructions.
  8. Submit — Generate the final image-to-video output.

Pricing

Pricing is based on output resolution and billed duration.

Billed duration is rounded up to the next whole second and clamped to the 2–30s range.

ResolutionPer 5sPer second
480p$0.35$0.07
720p$0.65$0.13
1080p$1.40$0.28

Example Costs

Resolution2s5s10s30s
480p$0.14$0.35$0.70$2.10
720p$0.26$0.65$1.30$3.90
1080p$0.56$1.40$2.80$8.40

Best Use Cases

  • Image animation — Animate product, portrait, lifestyle, or concept images into coherent video clips.
  • First-and-last-frame control — Use image and last_image to guide both the beginning and ending of the video.
  • Product and marketing videos — Turn product images into short promotional clips.
  • Social media content — Create vertical, square, landscape, or widescreen videos from still images.
  • Creative prototyping — Test motion, camera direction, and visual style from a fixed image.

Pro Tips

  • Use a clear, high-quality first-frame image for better subject preservation.
  • Use last_image when the final pose, composition, or ending frame matters.
  • Describe motion clearly, including what moves, how the camera moves, and how the scene develops.
  • Use 480p for quick drafts and 1080p for higher-quality output.
  • Use shorter durations for iteration, then increase duration once the motion direction is confirmed.
  • Enable thinking_mode for complex prompts with multiple movement or composition requirements.
  • Set a fixed seed when you want more reproducible results.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Wan 3.0 Image To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/alibaba/wan-3.0/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 3.0 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",
    "aspect_ratio": "16:9",
    "duration": 5,
    "thinking_mode": false,
    "enable_audio": true
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/alibaba/wan-3.0/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-3.0/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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "image": "https://interactive-examples.mdn.mozilla.net/media/cc0-images/painted-hand-298-332.jpg",
        "resolution": "720p",
        "aspect_ratio": "16:9",
        "duration": 5,
        "thinking_mode": false,
        "enable_audio": true
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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",
    "aspect_ratio": "16:9",
    "duration": 5,
    "thinking_mode": False,
    "enable_audio": True
}

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-3.0/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 3.0 Image To Video API — Frequently asked questions

What is the Wan 3.0 Image To Video API?

Wan 3.0 Image To Video is a Alibaba model for video generation from images, exposed as a REST API on WaveSpeedAI. Wan 3.0 Image to Video animates a first-frame image into a cinematic video, with optional last-frame guidance, flexible 2-30 second duration, aspect ratio control, optional audio, and deep-thinking controls for high-quality motion and scene continuity. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Wan 3.0 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-3.0-image-to-video.

How much does Wan 3.0 Image To Video cost per run?

Wan 3.0 Image To Video starts at $0.60 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 3.0 Image To Video accept?

Key inputs: `prompt`, `image`, `aspect_ratio`, `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-3.0-image-to-video.

How long does Wan 3.0 Image To Video take to generate?

Median end-to-end generation time on WaveSpeedAI is around 10488 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 3.0 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 3.0 Image to Video API on WaveSpeedAI