Retrieve

Retrieve an Existing Image

gpu_droplets.images.retrieve(Union[int, str]image_id) -> imageImageImageRetrieveResponse

get/v2/images/{image_id}

To retrieve information about an image, send a GET request to /v2/images/$IDENTIFIER.

Parameters

image_idunion

Union[int, str]

Hide ParametersShow Parameters

ImageIDUnionMember0type

int

ImageIDUnionMember1type

str

Returns

ImageRetrieveResponseclass

Hide ParametersShow Parameters

imageidintcreated_atdatetimedescriptionstrdistributionliteralerror_messagestrmin_disk_sizeintnamestrpublicboolregionslistsize_gigabytesfloatslugstrstatusliteraltagslisttypeliteralImage

HTTPPython

from do_gradientai import GradientAI

client = GradientAI()
image = client.gpu_droplets.images.retrieve(
    0,
)
print(image.image)

200 Example

{
  "image": {
    "created_at": "2020-05-04T22:23:02Z",
    "description": " ",
    "distribution": "Ubuntu",
    "error_message": " ",
    "min_disk_size": 20,
    "name": "Nifty New Snapshot",
    "public": true,
    "regions": [
      "nyc1",
      "nyc2"
    ],
    "size_gigabytes": 2.34,
    "slug": "nifty1",
    "status": "NEW",
    "tags": [
      "base-image",
      "prod"
    ],
    "type": "snapshot"
  }
}