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Image Editing
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Enhance Image

Enhance Image

Request

Try out this capability in Bria's sandbox

Description

Regenerate an image with sharper textures and richer details while doubling resolution, up to 10 megapixels output.

Note: this endpoint only supports async response mode - the API immediately returns a status URL to track progress.

Content Moderation

This endpoint includes granular content moderation controls to ensure safe usage across all stages of processing:

  • Input Image Moderation – Scans the uploaded image and stops processing if inappropriate or restricted content is detected.
  • Output Image Moderation – Evaluates the generated image and blocks the response if it violates safety guidelines.

Note: use Increase Resolution route to increase resolution without impacting details.

Security
api_token
Bodyapplication/jsonrequired
imagestringrequired

The source image to be handled by the API.
Supported input types:

  • Base64-encoded string
  • URL pointing to an image file that is publicly accessible and available at the time of processing.

Accepted formats: JPEG, JPG, PNG, WEBP.

seedinteger

Optional seed for controlling generation randomness. You can recreate the same result in the future by using the same seed with the same input parameters.

preserve_alphaboolean

Controls whether the alpha channel values from the input image are retained in the output, if the input includes an alpha channel.

Default:true
visual_input_content_moderationboolean

When enabled, applies content moderation to input visual.

Expected behavior:

  • Processing stops if the image fails moderation.
  • Returns a 422 error with details about which parameter failed.
Default:false
visual_output_content_moderationboolean

When enabled, applies content moderation to result visual.

Expected behavior:

  • If the modified image fails moderation, returns a 422 error.
Default:false
webhook_urlstring, (uri)

Optional URL for receiving the result via webhook when the async job completes. See webhooks.

POST
/enhance
from bria_client import BriaSyncClient

client = BriaSyncClient()  # reads BRIA_API_TOKEN

job = client.submit(
    endpoint="image/edit/enhance",
    payload={
        "image": "https://labs-assets.bria.ai/sandbox-example-inputs/enhance_image_example.jpg",
    },
)
result = client.poll(job, interval=2, timeout=120)
print(result.result.image_url)

Responses

Successful operation (Synchronous Success)

Bodyapplication/json
resultobject(result)required
request_idstringrequired
Response
{
  "result": {
    "image_url": "string",
    "seed": "string"
  },
  "request_id": "string"
}