Generating an image using YandexART

The example below is intended to be run in MacOS and Linux. To run it in Windows, see how to work with Bash in Microsoft Windows.

1. Create a file with the request body, e.g., prompt.json:

   {
   "modelUri": "art://<folder_ID>/yandex-art/latest",
   "generationOptions": {
     "seed": "1863",
     "aspectRatio": {
        "widthRatio": "2",
        "heightRatio": "1"
      }
   },
   "messages": [
     {
       "weight": "1",
       "text": "a pattern of pastel colored succulents of multiple varieties, hd full wallpaper, sharp focus, many intricate details, picture depth, top view"
     }
   ]
   }
   

   Where:

   • modelUri: YandexART model ID which contains a Yandex Cloud folder ID.
   • seed: Generation seed.
   • text: Text description of the image to use for generation.
   • weight: Text description weight. If a request contains more than one description, their individual impact will be calculated based on weight, with the sum of all weights equal to 1.
   • aspectRatio: (Optional) Aspect ratio of the generated image:
     • widthRatio: Width (default value: 1).
     • heightRatio: Height (default value: 1).

2. To send a request to the neural network using the ImageGenerationAsync.generate method, run the following command:

   curl \
     --request POST \
     --header "Authorization: Bearer <IAM_token_value>" \
     --data "@prompt.json" \
     "https://llm.api.cloud.yandex.net/foundationModels/v1/imageGenerationAsync"
   

   Where:

   • <IAM_token_value>: Your account's IAM token.
   • prompt.json: JSON file with request parameters.

   In the response, the service will return the Operation object:

   {"id":"fbveu1sntj**********","description":"","createdAt":null,"createdBy":"","modifiedAt":null,"done":false,"metadata":null}
   

   Save the operation id you get in the response.

3. Generating an image may take from a few seconds to a few hours. Wait for a while and send a request to https://llm.api.cloud.yandex.net:443/operations/<operation_ID> to get the generation result. When the image is ready, you will get the result in a Base64-encoded file named image.jpeg.

   curl --request GET --header "Authorization: Bearer <IAM_token_value>" https://llm.api.cloud.yandex.net:443/operations/<operation_ID> | jq -r '.response | .image' | base64 -d > image.jpeg
   

   Where:

   • <IAM_token_value>: IAM token you obtained when getting started.
   • <operation_ID>: id field value obtained in response to the generation request.