curl --request POST \ --url https://api.vidgo.ai/api/generate/submit \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "kwaivgi/kling-image-o1", "input": { "prompt": "Use image 1 as the flooded forest boardwalk scene to edit and image 2 only as the animal identity reference. Edit the scene in image 1 by adding exactly one adult Malayan tapir, the tapir from image 2, standing on the wide wooden deck in the left-center foreground. Preserve the exact tapir identity and anatomy from image 2: black head, neck and hindquarters, broad white saddle, short flexible snout and white-rimmed ears. The tapir faces left in three-quarter side view, pausing as if listening toward the flooded forest. Its full body must be visible, four feet planted naturally on the boardwalk, correct real-world scale, weight and soft contact shadows. Preserve the boardwalk structure, tree positions, floodwater reflections, original camera perspective and documentary photographic style. Match the soft green canopy daylight. Do not add people, other animals, accessories, text, logos or watermark.", "image_urls": [ "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-01.png", "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-02.png" ], "resolution": "2K", "size": "16:9", "output_format": "png", "n": 1 }}'
Edit images with Kling O1 using visual references and subject elements, with batch output and resolutions up to 2K.
POST
/
api
/
generate
/
submit
curl --request POST \ --url https://api.vidgo.ai/api/generate/submit \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "model": "kwaivgi/kling-image-o1", "input": { "prompt": "Use image 1 as the flooded forest boardwalk scene to edit and image 2 only as the animal identity reference. Edit the scene in image 1 by adding exactly one adult Malayan tapir, the tapir from image 2, standing on the wide wooden deck in the left-center foreground. Preserve the exact tapir identity and anatomy from image 2: black head, neck and hindquarters, broad white saddle, short flexible snout and white-rimmed ears. The tapir faces left in three-quarter side view, pausing as if listening toward the flooded forest. Its full body must be visible, four feet planted naturally on the boardwalk, correct real-world scale, weight and soft contact shadows. Preserve the boardwalk structure, tree positions, floodwater reflections, original camera perspective and documentary photographic style. Match the soft green canopy daylight. Do not add people, other animals, accessories, text, logos or watermark.", "image_urls": [ "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-01.png", "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-02.png" ], "resolution": "2K", "size": "16:9", "output_format": "png", "n": 1 }}'
After submission, a task_id will be returned. If you provided a callback_url, when the task status becomes finished or failed, a POST request will be sent to the callback_url.
Regardless of whether callback_url is provided, you can retrieve the result through the unified Query Task Status endpoint.
Edit images with Kling O1 using visual references and subject elements, with batch output and resolutions up to 2K.
Set model and optional callback_url at the request root. Place all workflow parameters, including output options, inside input.Send only the input fields supported by this workflow. Unsupported input fields are rejected before credits are deducted. Input URLs must use HTTP(S), include a hostname, and contain no embedded credentials.
image_urls: Required. Provide publicly accessible image URLs. Supply 1-10 items. Each item must be an HTTP(S) URL. A single URL string and Base64 inputs are not accepted.
elements: Optional array of subject-reference objects. Refer to them in the prompt as @Element1, @Element2, etc., in array order. Additional object properties are preserved. No element or additional-view count limit is specified.
elements[].frontal_image_url: Optional. Use a publicly accessible HTTP(S) URL.
elements[].reference_image_urls: Optional. Supply an array. Each item must be an HTTP(S) URL.
{ "model": "kwaivgi/kling-image-o1", "input": { "prompt": "Use image 1 as the flooded forest boardwalk scene to edit and image 2 only as the animal identity reference. Edit the scene in image 1 by adding exactly one adult Malayan tapir, the tapir from image 2, standing on the wide wooden deck in the left-center foreground. Preserve the exact tapir identity and anatomy from image 2: black head, neck and hindquarters, broad white saddle, short flexible snout and white-rimmed ears. The tapir faces left in three-quarter side view, pausing as if listening toward the flooded forest. Its full body must be visible, four feet planted naturally on the boardwalk, correct real-world scale, weight and soft contact shadows. Preserve the boardwalk structure, tree positions, floodwater reflections, original camera perspective and documentary photographic style. Match the soft green canopy daylight. Do not add people, other animals, accessories, text, logos or watermark.", "image_urls": [ "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-01.png", "https://cdn.vidgo.ai/apis/models/kwaivgi/kling-image-o1/edit/v1/01/input-02.png" ], "resolution": "2K", "size": "16:9", "output_format": "png", "n": 1 }}
Billing depends on output image count (n). Both supported resolutions use the same rate. Reference images and subject elements do not add charges.Credits are deducted on submission and refunded if the task fails.
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