FLUX.1 [schnell]

by Black Forest Labs

FLUX-1-schnell is a 12 billion parameter rectified flow transformer distilled for fast image generation, producing competitive-quality images in just 1 to 4 inference steps. It is trained with latent adversarial diffusion distillation, which lets it reach usable output far faster than multi-step models while keeping reasonable prompt adherence, making it a good fit for rapid prototyping and interactive applications. Released under the Apache 2.0 license, FLUX-1-schnell permits both personal and commercial use, which has made it widely adopted for open-weight image generation. It can run on consumer hardware, supports optional CPU offloading to reduce memory use, and delivers quality and prompt following that hold up well against heavier models for many everyday generation tasks.

Key info

Input
Output
Features
Pricing
$0.0005 / megapixel
Billing
Per megapixel
  • US residency available
  • Zero data retention on pay-as-you-go
  • No training by default
  • no-KYC deposit available

Pricing

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

VariantPrice
Standard$0.0005 / megapixel

Available routes

FLUX.1 [schnell] runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance β€” full data-handling detail per route below.

ProviderRegionZero data retentionTrainingPrice
USZero data retentionNo$0.0005 / megapixel
USNot by defaultNo$0.003 / megapixel

Uptime and availability

One of FLUX.1 [schnell]'s 2 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.

100%route uptime, last 30 days
Its other routes aren't measured here yet.

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. .

Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 1 further route is not on the board yet. See uptime for every provider qynio monitors.

Data handling per route

Each route hosting FLUX.1 [schnell] has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.

DeepInfra β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is on by default on Pay-as-you-go β€” no action required. No training on customer data. US; unknown; deposit available.

Zero data retention
On by default on Pay-as-you-go. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
None
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
unknown

fal β€” United StatesπŸ‡ΊπŸ‡Έ

Zero data retention is not on by default β€” abuse monitoring. No training on customer data. US; wallets; deposit available.

Zero data retention
Not by default β€” abuse monitoring. Derived from the logging and moderation facts.
Training
No training on customer data.
Logging
Abuse monitoring
Moderation
Not established
Caching
Not established
Subprocessor access
Not established
no-KYC deposit
deposit available
Transfer mechanism
wallets

Get started

Call FLUX.1 [schnell] through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β€” qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.

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 qynio for you.

Or call it directly

import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.QYN_API_KEY,
baseURL: "https://api.qyn.io/v3/compat",
});
const completion = await client.chat.completions.create({
model: "deepinfra/black-forest-labs/FLUX-1-schnell",
messages: [{ role: "user", content: "Hello" }],
});
console.log(completion.choices[0].message.content);

Compare FLUX.1 [schnell] with…

Side-by-side on privacy, crypto rails, pricing, and benchmarks.

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