POST
/
v1
/
image
/
generate
!pip install vlmrun

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>"
  },
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "response": "<any>",
  "status": "pending"
}
!pip install vlmrun

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.ocr,
document.generative,
document.invoice,
document.markdown,
document.presentation,
document.receipt,
document.resume,
document.utility-bill,
image.caption,
retail.product-catalog,
retail.ecommerce-product-caption,
image.tv-news,
video.caption,
video.commentary
​
metadata
object

Optional metadata to pass to the model.

​
config
object

The VLM generation config to be used for /<dtype>/generate.

​
id
string

Unique identifier of the request.

​
created_at
string

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

​
callback_url
string | null

The URL to call when the request is completed.

Minimum 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

201
application/json
Successful Response

Base prediction response for all API responses.

​
usage
object

The usage metrics for the request.

​
id
string

Unique identifier of the response.

​
created_at
string

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

​
completed_at
string | 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