Does FLUX-1.1-pro support zero data retention?

Yes. FLUX-1.1-pro is available with zero data retention on DeepInfra through the Opper gateway.

Where is FLUX-1.1-pro hosted?

FLUX-1.1-pro runs on US hosting routes through the Opper gateway.

Is FLUX-1.1-pro trained on prompts and outputs?

No. Every hosting route for FLUX-1.1-pro is configured so customer prompts and outputs are not used to train models by default.

Is a GDPR DPA available for FLUX-1.1-pro?

Yes. A GDPR Data Processing Agreement is available on at least one route serving FLUX-1.1-pro. Contact hello@opper.ai to receive it.

FLUX-1.1-pro

by Black Forest Labs

FLUX-1.1-pro is Black Forest Labs' high-speed flagship of the original FLUX image family, built to generate images quickly without sacrificing visual quality or prompt accuracy. It produces sharp, detailed output at up to 2K resolution while maintaining strong prompt following and output diversity, making it well suited to fast creative iteration. The model generates images roughly six times faster than its predecessor FLUX-1-pro while improving image quality, diversity, and instruction adherence. On release it reached the highest overall Elo score on the Artificial Analysis image arena, reflecting strong text-to-image performance against other leading models. Its combination of speed and fidelity makes it a practical choice for marketing, advertising, product visualization, and rapid design work.

Call FLUX-1.1-pro on Opper with the OpenAI SDK. Sign up without a credit card. Get started

Get your API key Try in chat Compare

Key info

Input

Output

Features

Pricing

$0.04 / generation

Billing

Per generation

US residency available
Zero data retention on pay-as-you-go
No training by default
GDPR DPA available

Pricing

Usage-based pricing, billed per generation, not by token.

Variant	Price
Standard	$0.04 / generation

Available routes

FLUX-1.1-pro runs on 1 route through the Opper gateway. Compare residency, zero data retention and training posture at a glance, with full data-handling detail per route below.

Provider	Region	Zero data retention	Training	Price
DeepInfra	US		No	$0.04 / generation

Uptime and availability

FLUX-1.1-pro runs on a single route through the Opper gateway today, so its availability is that provider's availability.

100%route uptime, last 30 days

Single route, no failover target within this model.

Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. Set up a fallback chain.

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider Opper monitors.

Data handling per route

Each route hosting FLUX-1.1-pro has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.

DeepInfra — United States🇺🇸

Zero data retention: nothing is logged, held for abuse monitoring or used for training. No training on customer data. US; unknown; DPA available.

Zero data retention: Yes. Nothing is logged, held for abuse monitoring or used for training.
Training: No training on customer data.
Logging: None
Abuse monitoring: No classifier
GDPR DPA: DPA available
Transfer mechanism: unknown

Get started

Call FLUX-1.1-pro through the Opper gateway with one API key. Opper is drop-in compatible with the OpenAI, Anthropic and Google AI SDKs.

FLUX-1.1-pro is a premium model on Opper. Sign up needs no credit card: you get an API key straight away and the free models work in the playground and the API. Add a card to use premium models, pay-as-you-go with no minimum.

Set it up with your agent

Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up Opper for you.

Or call it directly

1import OpenAI from "openai";
2
3const client = new OpenAI({
4  apiKey: process.env.OPPER_API_KEY,
5  baseURL: "https://api.opper.ai/v3/compat",
6});
7
8const completion = await client.chat.completions.create({
9  model: "deepinfra/black-forest-labs/FLUX-1.1-pro",
10  messages: [{ role: "user", content: "Hello" }],
11});
12console.log(completion.choices[0].message.content);