Wan 2.5 - Unifically

Generate AI videos using Wan 2.5 with text-to-video and image-to-video capabilities. Supports 480p to 1080p resolution, 5-10 second videos, and automatic audio generation.

Model

alibaba/wan-2.5-video

Parameters

Parameter	Type	Required	Description
`prompt`	string	Yes	Text description of the video
`mode`	string	No	`t2v` or `i2v` (default: `t2v`)
`start_image_url`	string	No	First-frame image URL (required for `i2v`)
`audio_url`	string	No	Custom audio URL for audio-video sync
`negative_prompt`	string	No	What to avoid in the video
`resolution`	string	No	`480p`, `720p`, or `1080p` (default: `720p`)
`duration`	integer	No	`5` or `10` seconds (default: `5`)
`prompt_extend`	boolean	No	Intelligent prompt rewriting (default: `true`)
`watermark`	boolean	No	Add watermark (default: `false`)
`audio`	boolean	No	Auto-generate audio. Set `false` for silent video (default: `true`)
`seed`	integer	No	Seed for reproducibility

video_urls and multi_prompt are not supported on Wan 2.5. For reference-to-video or multi-shot, use Wan 2.6.

Example - Text-to-Video

curl -X POST https://api.unifically.com/v1/tasks \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "alibaba/wan-2.5-video",
    "input": {
      "prompt": "Sunset over ocean waves",
      "mode": "t2v",
      "resolution": "1080p",
      "duration": 10
    }
  }'

Example - Image-to-Video

curl -X POST https://api.unifically.com/v1/tasks \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "alibaba/wan-2.5-video",
    "input": {
      "prompt": "Person walking through a forest",
      "mode": "i2v",
      "start_image_url": "https://example.com/person.jpg",
      "resolution": "720p",
      "duration": 10
    }
  }'

Response

{
  "code": 200,
  "success": true,
  "data": {
    "task_id": "abc123def456",
    "status": "processing"
  }
}

​Model

​Parameters

​Example - Text-to-Video

​Example - Image-to-Video

​Response

Model

Parameters

Example - Text-to-Video

Example - Image-to-Video

Response