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Proxies for RunwayML Gen-4: How to Bypass Geo-Blocks and Work with AI Video Generation Without Limits

RunwayML Gen-4 is blocked in several countries and restricts multiple accounts from the same IP. We explain how to set up a proxy and gain access to AI video generation without restrictions.

📅July 18, 2026
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RunwayML Gen-4 is one of the most powerful AI video generation tools on the market, but it has a serious issue: the service is blocked in several regions and actively restricts users who access multiple accounts from a single IP. For SMM specialists, marketers, and content producers, this becomes a real stopper—especially when deadlines are tight, and the service simply won’t load.

In this article, we will explore why RunwayML blocks users, which proxies actually work with this service, and how to set up stable access through an anti-detect browser in just 10-15 minutes.

Why RunwayML Gen-4 Blocks Users and Entire Regions

RunwayML is an American company, and its policies comply with U.S. export control laws. This means that the service is officially unavailable to users from several countries, including Iran, North Korea, Russia, and some other states that are under sanctions. If you are located in one of these regions, the site will either not load at all, or you will receive a denial when registering or making a payment.

However, geo-blocking is just the first level of restrictions. The second, which marketers and content producers face, is IP blocking. RunwayML, like most AI services with expensive infrastructure, closely monitors how many accounts are created from a single address. The logic is simple: if 5-10 accounts are registered from one IP, the system interprets this as an attempt to bypass the limits of the free tier or abuse of the service.

Here are specific situations in which users receive blocks or access denials:

  • Registering multiple accounts for a team from a single office IP
  • Attempting to access the service from Russia, Belarus, or another country on the restricted list
  • Using a corporate VPN whose IP has already been blacklisted by RunwayML
  • Exceeding the request limit from one IP in a short time (relevant for automation)
  • Paying for a subscription with a card issued in a country that does not match the IP address

A separate story is the work of SMM agencies and content studios that need to manage multiple accounts for different clients. RunwayML allows creating team workspaces, but each client may have their own account with their own subscription—and all of them should not be visible from one IP. This is where proxies become not an optional tool, but a necessity.

It is important to understand:

RunwayML uses a comprehensive location detection system—it looks not only at the IP but also at the browser's time zone, system language, and payment method data. Therefore, a single proxy is not enough—proper environment setup is required.

Which Proxies Work with RunwayML: Comparison of Types

Not all proxies are equally useful for working with AI services. RunwayML, like most enterprise-level platforms, can distinguish "real" users from traffic through data centers. Let's break down each type of proxy and its applicability for this task.

Proxy Type Suitable for RunwayML? Pros Cons
Residential ✅ Yes, excellent Real home IPs, high trust, choice of country/city More expensive than data centers, lower speed
Mobile ✅ Yes, maximum trust Carrier IPs, minimal risk of blocking Most expensive, speed depends on the carrier
Data Center (shared) ❌ Poor Cheap, high speed Often on AI service blocklists, identified as proxies
Data Center (dedicated) ⚠️ Sometimes Clean IP just for you, high speed RunwayML may identify the ASN of the data center and block it
Free Proxies ❌ No Free Unstable, long on blocklists, risk of data leaks

The conclusion is clear: for RunwayML Gen-4, you need residential proxies—they use IP addresses from real home internet providers, and RunwayML perceives such a connection as a regular user from the desired country. Only residential proxies allow you to choose a specific country—USA, UK, Germany, or any other where the service operates without restrictions.

Data center proxies for RunwayML are a risky choice. The service uses ASN (autonomous system) databases and can recognize IP ranges belonging to hosting providers. Even if a specific IP is not yet blocked, the likelihood of it being added to a blocklist is high.

Setting Up Residential Proxies for RunwayML: Step-by-Step Guide

The easiest way to work with RunwayML through a proxy is to set them up directly in the browser. Below is a guide for a regular browser (Chrome/Firefox) and for an anti-detect browser (if you need multiple accounts).

Option 1: Setup via Browser Extension (for One Account)

This is the fastest way, suitable if you need access to RunwayML from one account in the desired country.

  1. Install a proxy management extension—such as Proxy SwitchyOmega for Chrome or Firefox.
  2. Obtain residential proxy details: IP address (or hostname), port, username, and password.
  3. Open the extension settings → create a new profile → select type HTTP or SOCKS5.
  4. Enter the proxy details: server, port, username, password.
  5. Save the profile and activate it in the extension.
  6. Check the IP on whatismyip.com—the country of the proxy should be displayed (e.g., USA).
  7. Open runwayml.com—the service should load without restrictions.

Country Selection Tip:

Choose the USA or Western European countries (Germany, Netherlands, UK). These regions are fully supported by RunwayML—including payment and all Gen-4 features. Asian IPs also work, but there may be issues with some functions.

Option 2: Setup via System Settings on Windows/Mac

  1. Windows: Start → Settings → Network & Internet → Proxy → enable "Use a proxy server" → enter the address and port.
  2. Mac: System Preferences → Network → select the active connection → Advanced → Proxies → select type (HTTP/SOCKS) → enter the details.
  3. Save the settings and check the connection via whatismyip.com.

This method applies the proxy to all traffic from the computer—keep this in mind if you are working with multiple services simultaneously.

Working with Multiple RunwayML Accounts through an Anti-Detect Browser

If you manage accounts for multiple clients or work in a team where each member has their own RunwayML account—you need an anti-detect browser. This tool creates isolated browser profiles with a unique digital fingerprint for each account. Without it, RunwayML will see that multiple accounts are accessing from one device and may block them all.

Popular anti-detect browsers for this task include: Dolphin Anty, AdsPower, GoLogin, Multilogin, Octo Browser. The setup principle is the same for all—let's show an example using Dolphin Anty as one of the most popular in the Russian-speaking community.

Step-by-Step Setup in Dolphin Anty

  1. Download and install Dolphin Anty, register (there is a free plan for 10 profiles).
  2. Click "Create Profile" → give it a clear name (e.g., "RunwayML Client 1").
  3. In the "Proxy" section, click "Add Proxy".
  4. Select the proxy type: HTTP or SOCKS5 (we recommend SOCKS5—it’s more stable for such services).
  5. Enter the details: host/IP, port, username, password.
  6. Click "Check Proxy"—Dolphin will show the country and connection speed. Ensure the correct country is displayed (USA or EU).
  7. In the "Browser Fingerprint" section, select the operating system and language corresponding to the proxy country. For example, for a US IP, set the language to en-US, time zone to America/New_York.
  8. Save the profile and click "Launch".
  9. In the opened browser, go to runwayml.com and log into the client’s account.

For each new RunwayML account, create a separate profile in Dolphin with a separate proxy. This ensures that the accounts do not "see" each other and will not be blocked for multi-accounting.

Lifehack for Teams:

In Dolphin Anty and AdsPower, you can synchronize profiles among team members. One person sets up a profile with a proxy, another opens it on their computer. This is convenient when several employees work with the same client accounts.

Setting Up in AdsPower

  1. Create a new browser profile → "Proxy" section.
  2. Select the connection type: Socks5 or HTTP.
  3. Enter the proxy data in the format: host:port:login:password
  4. Click "Check Network"—make sure the IP is from the desired country.
  5. In the "Basic Configuration" section, set the language and time zone according to the proxy country.
  6. Save and launch the profile.

When Mobile Proxies are Needed and Their Advantages for RunwayML

Mobile proxies are IP addresses that belong to mobile network operators (e.g., AT&T, T-Mobile, Vodafone). Their main advantage over residential proxies is that one mobile IP can be used by thousands of real users simultaneously—this is a completely normal situation for a mobile network. Therefore, even if RunwayML sees several accounts from one mobile IP, it does not raise suspicions.

Mobile proxies are especially relevant in the following situations:

  • Working with multiple accounts without an anti-detect browser—when you need to quickly switch between accounts and have no time to set up isolated profiles.
  • High trust level of the platform—RunwayML is less likely to request additional verification when logging in from a mobile IP.
  • Bypassing aggressive anti-fraud systems—if a residential proxy has already been blacklisted (e.g., due to previous users), a mobile IP provides a clean start.
  • Working with payment functions—when paying for a RunwayML subscription through a mobile IP, the risk of fraud flags is minimal.

The downside of mobile proxies is their price. They are more expensive than residential ones, so they should be used selectively: for the most important accounts or in situations where residential proxies are no longer sufficient. For everyday work with RunwayML, residential proxies are the optimal balance of price and reliability.

Situation Residential Proxies Mobile Proxies
Bypassing geo-blocks ✅ Excellent ✅ Excellent
1 account, constant use ✅ Suitable ✅ Suitable
3–10 accounts simultaneously ⚠️ With anti-detect browser ✅ Easier
Payment for subscription ✅ Works ✅ Minimal risk
Cost Average High

Common Mistakes When Setting Up Proxies for AI Services

Even with good proxies, you can get blocked if you make typical mistakes. Here are the most common ones—and how to avoid them.

Mistake 1: Mismatch of Time Zone and Browser Language with Proxy Country

If your proxy is American, but the browser shows a time zone of UTC+3 and the interface language as "ru-RU," RunwayML sees a clear contradiction. The system understands that this is not a real American user. Always synchronize settings: American IP → EST/PST time zone → en-US language.

Mistake 2: Using One Proxy for Multiple Accounts Without Isolation

Proxies solve the IP problem but do not isolate cookies, localStorage, and browser fingerprints. If you log into two different RunwayML accounts through one proxy in one browser—the service will still understand that it is one user. Use an anti-detect browser with a separate profile for each account.

Mistake 3: Frequent IP Changes Within One Session

Residential proxies with rotation change IPs with every request—this is great for scraping but bad for working with accounts. RunwayML (like most authorization platforms) ties the session to the IP. If the IP changes every few minutes, the service starts to suspect account hacking and may request re-authorization or block the session. For working with RunwayML, use static residential proxies or proxies with a long session (sticky session).

Mistake 4: Ignoring WebRTC Leaks

WebRTC is a browser technology that can "leak" your real IP even when a proxy is connected. Check for WebRTC leaks on browserleaks.com. In anti-detect browsers (Dolphin, AdsPower, GoLogin), WebRTC protection is enabled by default. In regular Chrome, you need to install the WebRTC Leak Prevent extension.

Mistake 5: Choosing a Country Incompatible with the Payment Method

If you pay for RunwayML with a card issued in one country, and the proxy is from another—the payment system may block the transaction as suspicious. Try to select proxies from the same country as your payment method, or use virtual cards from American/European services (Wise, Revolut).

Mistake 6: Using "Leaked" Proxies

If a proxy has already been used for spam, fraud, or mass account registration—its IP may be in databases like Maxmind or IPQualityScore, which RunwayML checks. Before using a new proxy, check its reputation on scamalytics.com or ipqualityscore.com.

Checklist: How to Check if the Proxy Works with RunwayML

Before starting to work with an account through a proxy, go through this quick checklist. It will take 5 minutes but save you hours of troubleshooting with blocks.

✅ Checklist Before Launching RunwayML Through a Proxy

Step 1: Check IP and Geolocation

  • Open whatismyip.com—the country should match the one selected in the proxy
  • Check that the IP is not from a data center: ipinfo.io → the "org" field should not contain hosting names (AWS, DigitalOcean, Hetzner, etc.)

Step 2: Check IP Reputation

  • Go to scamalytics.com → enter the IP → the risk should be "Low" or "Medium"
  • Check on mxtoolbox.com/blacklists—the IP should not be on blocklists

Step 3: Check for Leaks

  • Open browserleaks.com → check WebRTC—real IP should not be visible
  • Check for DNS leaks: dnsleaktest.com → DNS servers should be from the proxy country

Step 4: Check Browser Settings

  • Browser language matches the proxy country (en-US for the USA)
  • Time zone matches the proxy country
  • If using anti-detect—profile is created separately for this account

Step 5: Test Access to RunwayML

  • Open runwayml.com—the site should load without redirecting to a block page
  • Try to register or log in—the form should work without errors
  • If the Gen-4 page with generation capability is available—everything is set up correctly

If something goes wrong at any step—most likely, the problem lies with the specific IP. Try switching to another proxy from the same pool or selecting a different city in the same country. Good residential proxy providers offer access to a pool of millions of IPs—finding a working one is usually not difficult.

Conclusion

RunwayML Gen-4 is a powerful tool for AI video generation that opens up vast opportunities for marketers, SMM specialists, and content producers. Geo-blocks and IP restrictions are a solvable technical problem that should not hinder your work.

The main takeaways from the article: for RunwayML, you need residential or mobile proxies—data centers do not work reliably here. If you are working with one account—it's enough to set up a proxy in the browser or through system settings. If you manage multiple accounts for clients—be sure to use an anti-detect browser (Dolphin Anty, AdsPower, GoLogin) with a separate profile and proxy for each account. And don't forget to synchronize the browser language and time zone with the proxy country—this is critically important for passing RunwayML checks.

If you plan to regularly work with RunwayML Gen-4 from a restricted region or manage multiple accounts, we recommend starting with residential proxies—they provide stable access with real home IPs and minimal risk of blocks from the platform.

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