WAN 2.2 I2V 720p

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);

{
  "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"
}

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.

string

required

Text description of the desired video motion and content.

string

required

URL of the input image to animate.

string

Elements to exclude from the generated video.

string

default:"1280*720"

Video resolution in format “width*height”.

integer

default:"30"

Number of denoising steps. Range: 1-50.

float

default:"5"

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

integer

default:"5"

Video duration in seconds.

integer

default:"5"

Controls the motion flow in the generated video.

integer

default:"-1"

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

boolean

default:"false"

Whether to automatically optimize the prompt.

boolean

default:"true"

Whether to run safety checks on the output.

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

string

Unique identifier for the request.

string

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

integer

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

integer

Time in milliseconds the model took to generate the video.

string

Identifier of the worker that processed the request.

object

The generation result containing the video URL and cost.

string

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

float

Cost of the generation in USD.

{
  "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

Last modified on October 5, 2026

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);

{
  "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"
}

Image models

Video models

Text models

Audio models

Try in playground

Request

Response

Cost calculation