> ## Documentation Index
> Fetch the complete documentation index at: https://docs.runpod.io/llms.txt
> Use this file to discover all available pages before exploring further.

# WAN 2.2 I2V 720p LoRA

> Open-source video generation with LoRA support for customized camera movements.

WAN 2.2 I2V 720p LoRA is an open-source video generation model with LoRA support for customized camera movements and effects. It uses separate high-noise and low-noise LoRA configurations to achieve precise control over motion and style.

<Card title="Try in playground" icon="play" href="https://console.runpod.io/hub/playground/video/wan-2-2-t2v-720-lora" horizontal>
  Test WAN 2.2 I2V 720p LoRA in the Runpod Hub playground.
</Card>

|              |                                                         |
| ------------ | ------------------------------------------------------- |
| **Endpoint** | `https://api.runpod.ai/v2/wan-2-2-t2v-720-lora/runsync` |
| **Pricing**  | \$0.35–\$0.56 per video                                 |
| **Type**     | Video generation                                        |

## Request

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

<ParamField body="input.prompt" type="string" required>
  Text description of the desired video motion.
</ParamField>

<ParamField body="input.image" type="string" required>
  URL of the source image to animate.
</ParamField>

<ParamField body="input.high_noise_loras" type="array">
  LoRA configurations for high-noise denoising stages.
</ParamField>

<ParamField body="input.high_noise_loras[].path" type="string" required>
  URL or path to the LoRA model file.
</ParamField>

<ParamField body="input.high_noise_loras[].scale" type="number" required>
  Scale factor for the LoRA influence.
</ParamField>

<ParamField body="input.low_noise_loras" type="array">
  LoRA configurations for low-noise denoising stages.
</ParamField>

<ParamField body="input.low_noise_loras[].path" type="string" required>
  URL or path to the LoRA model file.
</ParamField>

<ParamField body="input.low_noise_loras[].scale" type="number" required>
  Scale factor for the LoRA influence.
</ParamField>

<ParamField body="input.duration" type="integer" default="5">
  Video duration in seconds.
</ParamField>

<ParamField body="input.seed" type="integer" default="-1">
  Seed for reproducible results. Set to -1 for random.
</ParamField>

<ParamField body="input.enable_safety_checker" type="boolean" default="true">
  Enable content safety checking.
</ParamField>

<RequestExample>
  ```bash cURL theme={"theme":{"light":"github-light","dark":"github-dark"}}
  curl -X POST "https://api.runpod.ai/v2/wan-2-2-t2v-720-lora/runsync" \
    -H "Authorization: Bearer $RUNPOD_API_KEY" \
    -H "Content-Type: application/json" \
    -d '{
      "input": {
        "prompt": "orbit 180 around an astronaut on the moon",
        "image": "https://example.com/astronaut.png",
        "high_noise_loras": [
          {
            "path": "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_high_noise.safetensors",
            "scale": 1
          }
        ],
        "low_noise_loras": [
          {
            "path": "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_low_noise.safetensors",
            "scale": 1
          }
        ],
        "duration": 5,
        "seed": -1,
        "enable_safety_checker": true
      }
    }'
  ```

  ```python Python theme={"theme":{"light":"github-light","dark":"github-dark"}}
  import requests

  response = requests.post(
      "https://api.runpod.ai/v2/wan-2-2-t2v-720-lora/runsync",
      headers={
          "Authorization": f"Bearer {RUNPOD_API_KEY}",
          "Content-Type": "application/json",
      },
      json={
          "input": {
              "prompt": "orbit 180 around an astronaut on the moon",
              "image": "https://example.com/astronaut.png",
              "high_noise_loras": [
                  {
                      "path": "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_high_noise.safetensors",
                      "scale": 1,
                  }
              ],
              "low_noise_loras": [
                  {
                      "path": "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_low_noise.safetensors",
                      "scale": 1,
                  }
              ],
              "duration": 5,
              "seed": -1,
              "enable_safety_checker": True,
          }
      },
  )

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

  ```javascript JavaScript theme={"theme":{"light":"github-light","dark":"github-dark"}}
  const response = await fetch(
    "https://api.runpod.ai/v2/wan-2-2-t2v-720-lora/runsync",
    {
      method: "POST",
      headers: {
        Authorization: `Bearer ${RUNPOD_API_KEY}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({
        input: {
          prompt: "orbit 180 around an astronaut on the moon",
          image: "https://example.com/astronaut.png",
          high_noise_loras: [
            {
              path: "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_high_noise.safetensors",
              scale: 1,
            },
          ],
          low_noise_loras: [
            {
              path: "https://huggingface.co/ostris/wan22_i2v_14b_orbit_shot_lora/resolve/main/wan22_14b_i2v_orbit_low_noise.safetensors",
              scale: 1,
            },
          ],
          duration: 5,
          seed: -1,
          enable_safety_checker: true,
        },
      }),
    }
  );

  const result = await response.json();
  console.log(result.output.video_url);
  ```
</RequestExample>

## Response

<ResponseField name="id" type="string">
  Unique identifier for the request.
</ResponseField>

<ResponseField name="status" type="string">
  Request status. Returns `COMPLETED` on success, `FAILED` on error.
</ResponseField>

<ResponseField name="delayTime" type="integer">
  Time in milliseconds the request spent in queue before processing began.
</ResponseField>

<ResponseField name="executionTime" type="integer">
  Time in milliseconds the model took to generate the video.
</ResponseField>

<ResponseField name="workerId" type="string">
  Identifier of the worker that processed the request.
</ResponseField>

<ResponseField name="output" type="object">
  The generation result containing the video URL and cost.

  <ResponseField name="output.video_url" type="string">
    URL of the generated video. This URL expires after 7 days.
  </ResponseField>

  <ResponseField name="output.cost" type="float">
    Cost of the generation in USD.
  </ResponseField>
</ResponseField>

<ResponseExample>
  ```json 200 theme={"theme":{"light":"github-light","dark":"github-dark"}}
  {
    "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
    "status": "COMPLETED",
    "delayTime": 32,
    "executionTime": 95432,
    "workerId": "oqk7ao1uomckye",
    "output": {
      "video_url": "https://video.runpod.ai/abc123/output.mp4",
      "cost": 0.35
    }
  }
  ```

  ```json 400 theme={"theme":{"light":"github-light","dark":"github-dark"}}
  {
    "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
    "status": "FAILED",
    "error": "Failed to load LoRA model from URL"
  }
  ```
</ResponseExample>

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

## Cost calculation

WAN 2.2 I2V 720p LoRA pricing:

| Duration  | Cost   |
| --------- | ------ |
| 5 seconds | \$0.35 |
| 8 seconds | \$0.56 |