Leonardo.ai Mobile Proxies: Web and App QA From a US Carrier Address

Leonardo.ai offers image and video generation through a web app, mobile apps and an API. Plan tiers, token presentation and some features depend on the market, and the asset-heavy workflow behaves differently on a cellular network. Teams building on the Leonardo API, or QA engineers verifying the US mobile path of the consumer apps, need a US mobile vantage point. A Mobile Proxies US line is one SIM on AT&T, T-Mobile or Verizon in a US metro, with HTTP(S), SOCKS5 and VLESS access and an API for exit IP and rotation.

Region- and network-dependent behaviour

Pricing, currency and promotional surfaces follow the market. New models and modes reach US accounts first. Sign-in and payment from a hosting address attract verification; a carrier address does not. Large image sets and video downloads on a mobile link reveal timeout and retry behaviour that fibre hides.

A test from a US cloud region sees the country right and the connection class wrong. The carrier line sees both right, because the address belongs to AT&T, T-Mobile or Verizon and is shared with real subscribers behind the carrier's NAT, which is exactly what the platform's own US customers look like.

Testing a product built on the Leonardo API

Your backend's calls to the Leonardo API remain on your server's address. The line is for the client path: your app, used by a US mobile user, submitting a prompt to your backend and receiving assets back. Put the client in a browser profile behind the HTTP endpoint or an emulator behind SOCKS5 and run the acceptance suite there.

Choose 5G for asset-heavy runs (up to 50 Mbps download); data is not metered. Record the exit IP from the API with each case so a slow download can be tied to a carrier and a cell.

QA of the Leonardo web app and mobile apps

The web app streams generation progress and downloads large files. Watch it behind the line in a browser profile and in an emulator; compare a 4G and a 5G line. Move the line between metros for free to get a different cell environment without a second purchase.

Keep one account per line and leave the address alone during a session. The carrier holds it by default, which is what a signed-in session should look like.

Comparing asset delivery across metros

Generated images and motion clips are served from a CDN, and which edge a client reaches depends on its network path. A single test location tells you little. Time the same asset download from one city, then move the line with POST /proxy/move-location, which takes the licence uuid, the target modem and a reason, and repeat. The remaining term and the login stay. The host and ports can change, because the line lands on another server, so re-read GET /proxies/my before the next run.

You do not need to look up the target by hand each time: read the available modems from /proxy/move-location/modems once per city and keep the names in your harness configuration. Compare medians rather than single downloads, and keep the tower's busy hours out of the sample. Keep one fixed asset for these comparisons, since generated files differ in size and a heavier file would look like a slower edge.

Rotation and terms

Rotate between runs by API and confirm the new exit IP before the next run. A rotation during a download resets the connection; do it on purpose if you want to test resume logic, never by accident.

Use your own Leonardo account and API keys within Leonardo's terms. The line does not change token balances, tiers or region settings.

Setting up a Leonardo.ai proxy on Mobile Proxies US

1. Buy a 5G line in the metro you want to test from.
2. Read endpoints and credentials from the API and configure the client under test.
3. Confirm the exit IP matches ip from GET /proxy/status and resolves to a carrier ASN.
4. Run generation, download and plan-screen checks; log timings and exit IP per case.
5. Rotate by API between runs; repeat on a 4G line or another metro.

Leonardo.ai proxy questions