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POST
/
v1
/
image
/
generate
from PIL import Image
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.image.generate(
    images=[Image.open("<path>.jpg")],
    domain="<domain>"
)
{
  "usage": {
    "elements_processed": 123,
    "element_type": "image",
    "credits_used": 123,
    "steps": 123,
    "message": "<string>",
    "duration_seconds": 0
  },
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "response": "<unknown>",
  "status": "pending",
  "domain": "<string>"
}
For all supported image domains, see the Hub Catalog.
from PIL import Image
from vlmrun.client import VLMRun

client = VLMRun(api_key="<VLMRUN_API_KEY>")
response = client.image.generate(
    images=[Image.open("<path>.jpg")],
    domain="<domain>"
)

Authorizations

Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

Request to the VLM API (i.e. structured prediction).

images
string[]
required

List of base64 encoded images or URLs to the images.

domain
required

The domain identifier (e.g. image.caption).

Available options:
aerospace.remote-sensing,
document.invoice,
document.markdown,
document.receipt,
document.resume,
image.caption,
image.object-detection,
image.person-detection,
retail.product-catalog
metadata
RequestMetadata · object

Optional metadata to pass to the model.

config
GenerationConfig · object

The VLM generation config to be used for //generate.

id
string

Unique identifier of the request.

created_at
string<date-time>

Date and time when the request was created (in UTC timezone)

callback_url
string<uri> | null

The URL to call when the request is completed.

Minimum string length: 1
model
default:vlm-1

The model to use for generating the response.

Allowed value: "vlm-1"
batch
boolean
default:false

Whether to process the image in batch mode (async).

Response

Successful Response

Base prediction response for all API responses.

usage
CreditUsageResponse · object

The usage metrics for the request.

id
string

Unique identifier of the response.

created_at
string<date-time>

Date and time when the request was created (in UTC timezone)

completed_at
string<date-time> | null

Date and time when the response was completed (in UTC timezone)

response
any | null

The response from the model.

status
enum<string>
default:pending

The status of the job.

Available options:
pending,
enqueued,
running,
completed,
failed,
paused
domain
string | null

The domain of the prediction (e.g. document.invoice, image.caption).