Apply effects to your photo. Select person on a photo, blur or grayscale background
| Parameter’s name | Parameter’s type | Description |
|---|---|---|
out_filters |
string | Optional. Comma separated list of model outputs to return. |
inputs |
image | Input image |
object_class |
string | Object to find |
effect |
string | Effect to apply |
background |
string | New Background |
blur_radius |
int | Blurring radius for Blur |
curl -X POST \
-H 'Authorization: Bearer YOUR_USER_TOKEN' \
-H 'Content-Type: multipart/form-data' \
-F "out_filters=output" \
-F "inputs=inputs_value" \
-F "object_class=object_class_value" \
-F "effect=effect_value" \
-F "background=background_value" \
-F "blur_radius=blur_radius_value" \
https://cloud.kibernetika.io/api/v0.2/workspace/kuberlab-demo/serving/photo-robot/form-data
curl -X POST \
-H 'Authorization: Bearer YOUR_USER_TOKEN' \
-H 'Content-Type: application/json' \
-d '
{
"background": "background_value",
"blur_radius": 98,
"effect": "effect_value",
"inputs": "base64_encoded_inputs_contents",
"object_class": "object_class_value"
}
'
https://cloud.kibernetika.io/api/v0.2/workspace/kuberlab-demo/serving/photo-robot/proxy
import kclient
from kclient.utils import client, request
cl = client.with_bearer_token("YOUR_USER_TOKEN")
serving_api = kclient.api.serving_api.ServingApi(cl)
data = request.make(data={
"object_class": "[Person]",
"effect": "[Grey[https://storage.googleapis.com/edwindemo/photo/katya-grey.png] Blur[https://storage.googleapis.com/edwindemo/photo/katya-blur.png] Remove background[https://storage.googleapis.com/edwindemo/photo/katya-back.png]]",
"background": "[None[https://storage.googleapis.com/gallery-kibernetika-ai/backgrounds/black.jpg] Beach1[https://storage.googleapis.com/gallery-kibernetika-ai/backgrounds/Beach1.jpg] Hell1[https://storage.googleapis.com/gallery-kibernetika-ai/backgrounds/Hell1.jpg]]",
"blur_radius": 3,
}, files={
"inputs": "/path/to/inputs_file",
})
resp = serving_api.serving_proxy(data, "kuberlab-demo", "photo-robot")
{
"output": "base64_encoded_image"
}