How much does Bria FIBO-Edit 1.5 Expand cost on varg?

Bria FIBO-Edit 1.5 Expand costs from $0.04 per run on varg. varg charges the provider's price with no markup, from one credit balance. For the exact price of a request before you run it, send the same body to POST https://api.varg.ai/v2/estimate.

How do I call the Bria FIBO-Edit 1.5 Expand API?

Send POST https://api.varg.ai/v2/tools/image/call with the header "Authorization: Bearer $VARG_API_KEY" and a JSON body that includes "model": "bria_fibo_edit_1_5_expand". The call answers 202 with a job right away. Poll GET https://api.varg.ai/v2/jobs/{id} until "status" is "completed", then read output.outputs[0].url, or pass options.webhook_url to be called back.

Can I use Bria FIBO-Edit 1.5 Expand from Claude, ChatGPT or Cursor?

Yes. Add the varg MCP server (https://mcp.varg.ai/mcp) to Claude, ChatGPT, Cursor or any other MCP client and sign in with varg, with no API key to paste. The agent runs Bria FIBO-Edit 1.5 Expand with call_tool, passing tool "image" and "model": "bria_fibo_edit_1_5_expand".

How long does a Bria FIBO-Edit 1.5 Expand request take?

Typically about 15 s on the fastest route, by the catalog's estimate. The API answers at once with a job id, so nothing waits on an open connection while it runs.

Images · Image to image

Bria FIBO-Edit 1.5 Expand API

Bria FIBO-Edit 1.5 outpainting: extends one image to one of 9 aspect ratios or a custom canvas up to 25 MP, with an optional prompt for the new area. Original pixels are kept at full resolution. $0.04 per image.

Price: From $0.04 per run
Typical time: ~15 s
Model id: bria_fibo_edit_1_5_expand

Bria FIBO-Edit 1.5 Expand runs on one varg API key and one credit balance, the same as every other model here. You pay the provider's price, with no markup.

POST /v2/tools/image/call

curl -X POST https://api.varg.ai/v2/tools/image/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bria_fibo_edit_1_5_expand",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
    }
  ]
}'

Try it in the Playground Get an API key

Bria FIBO-Edit 1.5 Expand pricing

From $0.04 per run. Prices are in US dollars and are the provider's own, with no markup. For the exact price of a request, send the same body to POST https://api.varg.ai/v2/estimate.

fal $0.04
fal:bria/fibo-edit-1.5/expand
Image to image Bria FIBO-Edit 1.5 Expand: outpaints one image to one of 9 aspect ratios (1:1 to 16:9) or a custom canvas up to 25 MP, with optional prompt guidance. Original pixels kept at full resolution. $0.04 per image.
Fixed price
$0.04
Typical time
~15 s

Bria FIBO-Edit 1.5 Expand inputs

The JSON body of the request. Media inputs are URLs: upload a local file with POST /v2/files and pass the URL it returns. Full JSON Schema, no key needed: api.varg.ai/v2/tools/image?model=bria_fibo_edit_1_5_expand

Bria FIBO-Edit 1.5 Expand request fields
Field	What it does
`model` string required	`bria_fibo_edit_1_5_expand` picks a route automatically.
`prompt` string	—
`files` array of { url }	—
`aspect_ratio` string	Allowed e.g. 16:9 \| 9:16 \| 1:1 \| 4:3 \| 3:4 \| 21:9 \| auto

Provider options

Optional, under provider_options.<provider>. Only the options of the provider that runs the job apply; pin a route to choose it.

`provider_options.fal`

Bria FIBO-Edit 1.5 Expand options for fal
Field	What it does
`prompt` string	—
`negative_prompt` string	—
`seed` integer	Allowed 0–2147483647
`image_url` string (URL)	The image to expand (file or URL).
`sync_mode` boolean	If true, returns the image directly in the response (increases latency).
`aspect_ratio` string	Allowed 1:1 \| 2:3 \| 3:2 \| 3:4 \| 4:3 \| 4:5 \| 5:4 \| 9:16 \| 16:9
`preserve_alpha` boolean	Keep the input's transparency. The model works in RGB, so the alpha channel is not generated -- the original's own is extended outwards by replicating its edges, which is what expanding a cutout means. Turn it off to get a flattened RGB result.
`return_model_output` boolean	Also return the model's own frame, before the original was pasted back and the seam blended. Diagnostic only -- it does not change the returned image. Use it to tell a bad generation apart from a bad composite: a boundary already broken in that frame came from the model, not from post-processing.
`retain_original_quality` boolean	Keep the original's own pixels at full resolution. Generation happens near one megapixel, so a larger canvas is scaled up afterwards; leave this on and the region the mask protected is not resampled at all. Turn it off for a uniformly soft result, which can hide the seam on a textured background.

Call the Bria FIBO-Edit 1.5 Expand API

POST https://api.varg.ai/v2/tools/image/call with Authorization: Bearer $VARG_API_KEY. It answers 202 with a job right away.

1. Send the request

cURL

curl -X POST https://api.varg.ai/v2/tools/image/call \
  -H "Authorization: Bearer $VARG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "bria_fibo_edit_1_5_expand",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
    }
  ]
}'

JavaScript

const headers = {
  Authorization: `Bearer ${process.env.VARG_API_KEY}`,
  'Content-Type': 'application/json',
}

const res = await fetch('https://api.varg.ai/v2/tools/image/call', {
  method: 'POST',
  headers,
  body: JSON.stringify({
    "model": "bria_fibo_edit_1_5_expand",
    "files": [
      {
        "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
      }
    ]
  }),
})
const job = await res.json() // { id: "job_…", status: "queued" }

Python

import os
import requests

headers = {"Authorization": f"Bearer {os.environ['VARG_API_KEY']}"}

job = requests.post(
    "https://api.varg.ai/v2/tools/image/call",
    headers=headers,
    json={
      "model": "bria_fibo_edit_1_5_expand",
      "files": [
        {
          "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
        }
      ]
    },
).json()  # {"id": "job_…", "status": "queued"}

2. Get the result

Poll the job until its status is completed, failed or cancelled; Bria FIBO-Edit 1.5 Expand typically takes about 15 s. The result is at output.outputs[0].url.

GET /v2/jobs/{id}

curl https://api.varg.ai/v2/jobs/$JOB_ID \
  -H "Authorization: Bearer $VARG_API_KEY"

# Poll until "status" is completed, failed or cancelled.
# The result is in output.outputs[0].url

JavaScript

let current = job
while (!['completed', 'failed', 'cancelled'].includes(current.status)) {
  await new Promise((resolve) => setTimeout(resolve, 3000))
  current = await (await fetch(`https://api.varg.ai/v2/jobs/${current.id}`, { headers })).json()
}
console.log(current.output?.outputs?.[0]?.url)

Python

import time

while job["status"] not in ("completed", "failed", "cancelled"):
    time.sleep(3)
    job = requests.get(f"https://api.varg.ai/v2/jobs/{job['id']}", headers=headers).json()

print(job["output"]["outputs"][0]["url"])

Or take a webhook instead of polling

Add options.webhook_url and varg POSTs the finished job to it.

request body

{
  "model": "bria_fibo_edit_1_5_expand",
  "files": [
    {
      "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
    }
  ],
  "options": {
    "webhook_url": "https://your-app.com/varg-webhook"
  }
}

From Claude, ChatGPT or Cursor (MCP)

The varg MCP server, https://mcp.varg.ai/mcp, runs Bria FIBO-Edit 1.5 Expand with call_tool. Sign in with varg, no API key to paste. How to connect it

call_tool

{
  "tool": "image",
  "input": {
    "model": "bria_fibo_edit_1_5_expand",
    "files": [
      {
        "url": "https://storage.googleapis.com/falserverless/model_tests/orange.png"
      }
    ]
  },
  "wait": true
}