WAN 2.2 I2V 720p

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 -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.

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.

{
  "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

WAN 2.1 I2VOpen-source image-to-video generation that converts static images into 720p videos.

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

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Request

Response

Cost calculation

Try in playground

​Request

​Response

​Cost calculation

Request

Response

Cost calculation