WAN 2.2 I2V 720p

Open-source image-to-video generation using diffusion transformer architecture.

WAN 2.2 I2V 720p is an open-source AI video generation model that uses a diffusion transformer architecture for image-to-video generation. It creates smooth, high-quality 720p video content from static images.

Try in playground

Test WAN 2.2 I2V 720p in the Runpod Hub playground.

Endpoint	https://api.runpod.ai/v2/wan-2-2-i2v-720/runsync
Pricing	$0.30–$0.90 per video
Type	Video generation

Request

All parameters are passed within the input object in the request body.

input.prompt · string · required

Text description of the desired video motion and content.

input.image · string · required

URL of the input image to animate.

input.negative_prompt · string

Elements to exclude from the generated video.

input.size · string · default: "1280*720"

Video resolution in format “width*height”.

input.num_inference_steps · integer · default: "30"

Number of denoising steps. Range: 1-50.

input.guidance · float · default: "5"

How closely to follow the prompt. Range: 0.0-10.0.

input.duration · integer · default: "5"

Video duration in seconds.

input.flow_shift · integer · default: "5"

Controls the motion flow in the generated video.

input.seed · integer · default: "-1"

Seed for reproducible results. Set to -1 for random.

input.enable_prompt_optimization · boolean · default: "false"

Whether to automatically optimize the prompt.

input.enable_safety_checker · boolean · default: "true"

Whether to run safety checks on the output.

cURL

curl -X POST "https://api.runpod.ai/v2/wan-2-2-i2v-720/runsync" \
  -H "Authorization: Bearer $RUNPOD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "cinematic shot: slow-tracking camera glides parallel to a giant white origami boat drifting down a jade-green river",
      "image": "https://example.com/origami-boat.png",
      "num_inference_steps": 30,
      "guidance": 5,
      "negative_prompt": "",
      "size": "1280*720",
      "duration": 5,
      "flow_shift": 5,
      "seed": -1,
      "enable_prompt_optimization": false,
      "enable_safety_checker": true
    }
  }'

import requests

response = requests.post(
    "https://api.runpod.ai/v2/wan-2-2-i2v-720/runsync",
    headers={
        "Authorization": f"Bearer {RUNPOD_API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "input": {
            "prompt": "cinematic shot: slow-tracking camera glides parallel to a giant white origami boat drifting down a jade-green river",
            "image": "https://example.com/origami-boat.png",
            "num_inference_steps": 30,
            "guidance": 5,
            "negative_prompt": "",
            "size": "1280*720",
            "duration": 5,
            "flow_shift": 5,
            "seed": -1,
            "enable_prompt_optimization": False,
            "enable_safety_checker": True,
        }
    },
)

result = response.json()
print(result["output"]["video_url"])

const response = await fetch(
  "https://api.runpod.ai/v2/wan-2-2-i2v-720/runsync",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${RUNPOD_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      input: {
        prompt: "cinematic shot: slow-tracking camera glides parallel to a giant white origami boat drifting down a jade-green river",
        image: "https://example.com/origami-boat.png",
        num_inference_steps: 30,
        guidance: 5,
        negative_prompt: "",
        size: "1280*720",
        duration: 5,
        flow_shift: 5,
        seed: -1,
        enable_prompt_optimization: false,
        enable_safety_checker: true,
      },
    }),
  }
);

const result = await response.json();
console.log(result.output.video_url);

Response

id · string

Unique identifier for the request.

status · string

Request status. Returns COMPLETED on success, FAILED on error.

delayTime · integer

Time in milliseconds the request spent in queue before processing began.

executionTime · integer

Time in milliseconds the model took to generate the video.

workerId · string

Identifier of the worker that processed the request.

output · object

The generation result containing the video URL and cost.

output.video_url · string

URL of the generated video. This URL expires after 7 days.

output.cost · float

Cost of the generation in USD.

200

{
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "status": "COMPLETED",
  "delayTime": 24,
  "executionTime": 67543,
  "workerId": "oqk7ao1uomckye",
  "output": {
    "video_url": "https://video.runpod.ai/abc123/output.mp4",
    "cost": 0.30
  }
}

{
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "status": "FAILED",
  "error": "Invalid image URL"
}

Video URLs expire after 7 days. Download and store generated videos immediately if you need to keep them.

Cost calculation

WAN 2.2 I2V 720p pricing:

Duration	Cost
5 seconds	$0.30
8 seconds	$0.48
10 seconds	$0.60
15 seconds	$0.90