curl --request POST \
--url https://api.modellix.ai/api/v1/alibaba/wan3.0-v2v \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"video_urls": [
"https://example.com/role.mp4"
]
}
'{
"code": 0,
"message": "success",
"data": {
"status": "pending",
"task_id": "task-abc123",
"model_id": "model-123",
"get_result": {
"method": "GET",
"url": "https://api.modellix.ai/api/v1/tasks/task-abc123"
}
}
}Wan 3.0 V2V
[Core Function] Wan 3.0 V2V is Alibaba Wan 3.0 reference-video generation that builds new video from one or more input videos. [Strengths] It supports up to 5 reference videos with optional reference images and audio for multimodal composition and prompt-referenced subjects. [Best For] Highly recommended for: video-to-video transformation, multi-subject scenes that cite video1/image1 in the prompt, and extending creative edits from existing clips. [Limitations] Do NOT use this model for text-only, file/link, or first-frame-only workflows. video_urls is required. [Routing] Prefer this model when the user supplies reference video. Use Wan 3.0 T2V for prompt/file/link and Wan 3.0 I2V for image-first generation.
curl --request POST \
--url https://api.modellix.ai/api/v1/alibaba/wan3.0-v2v \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"video_urls": [
"https://example.com/role.mp4"
]
}
'{
"code": 0,
"message": "success",
"data": {
"status": "pending",
"task_id": "task-abc123",
"model_id": "model-123",
"get_result": {
"method": "GET",
"url": "https://api.modellix.ai/api/v1/tasks/task-abc123"
}
}
}Body
video_urls is required. Optional reference_images and audio_urls can be combined with the reference videos.