Dedicated model · Available as managed deployment

FLUX.1 [schnell] image generation in Europe: managed deployment

Black Forest Labs' fast 12B text-to-image model, one to four steps per image, released under Apache-2.0 for commercial use. Available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only, as an OpenAI-compatible endpoint on hardware only you use, hosted in the EU.

Available as managed deployment eu-es-1 · Málaga Text → image flux-1-schnell.axforge.ai
Request deployment Qwen3.8 27B, on the API now Hour, week, month or year. Hardware from €0.85/hour; managed service quoted per deployment.

Why FLUX.1 [schnell]

What you get

Images in a few stepsDistilled for speed: one to four denoising steps per image instead of dozens, so a single machine serves interactive image generation.
Apache-2.0Permissive weights: commercial use, no licence conversation.
Same family as [dev]The same 12B architecture and prompt behaviour as FLUX.1 [dev], tuned for throughput over maximum detail.

Specifications

The model

ModelFLUX.1 [schnell] by black-forest-labs
ModalitiesText → image
Sizes11.9B
Released2024-07
Popularity630k downloads / month on HuggingFace
LicenceOpen weights (Apache 2.0); commercial use permitted
AvailabilityAvailable as managed deployment, operated by AxForge on hardware reserved for you
HardwareNVIDIA DGX Spark (GB10, 128 GB unified memory), owned and operated by AxForge
RegionMálaga, Spain (eu-es-1)
PricingHardware from €0.85/hour, rental term: Hour, week, month or year. Managed service quoted per deployment. Request deployment and we confirm both in writing.

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the model card in the catalogue and the official card on HuggingFace.

Deployment

What "managed deployment" means

SystemA dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory), reserved for you
Commercial modelHour, week, month or year. Hardware from €0.85/hour, managed service quoted per deployment
EndpointOpenAI-compatible /v1 on your own machine, only your traffic
LocationHosted in the EU: Málaga, Spain (eu-es-1)
Data handlingZero prompt retention, same policy as the serverless API

The model is validated on AxForge hardware and deployed on your system. After deployment, your endpoint speaks the OpenAI API with the model name you receive with the deployment.

Data & privacy

Zero prompt retention

Prompts and completions are processed in memory in the EU, not written to disk, not logged, not retained, and never used to train anything. We keep only request metadata (token counts, timestamps, status) for billing and operations. The full policy is at axforge.ai/privacy.

FAQ

FLUX.1 [schnell] hosting: common questions

Is FLUX.1 [schnell] on the AxForge serverless API?

Not on the serverless API. It is available as a managed deployment: validated on AxForge hardware and deployed on a DGX Spark for your traffic only. The serverless API serves Qwen3.8 27B.

FLUX.1 [schnell] or [dev]?

[schnell] for speed and a permissive licence; [dev] for maximum quality when a commercial licence is in place. AxForge can deploy either on a dedicated DGX Spark.

What resolution does it generate?

Up to the model's native ~1 megapixel outputs at several aspect ratios; AxForge confirms resolution and throughput with the deployment.

How fast is FLUX.1 [schnell] on your hardware?

We publish only numbers we measure ourselves, and we haven't benchmarked this model on our nodes yet. For quality benchmarks, see the official model card.

What does a dedicated FLUX.1 [schnell] deployment look like?

A dedicated NVIDIA DGX Spark (GB10, 128 GB unified memory) rented by the hour, week, month or year, running FLUX.1 [schnell] behind an OpenAI-compatible endpoint on your own machine, hosted in the EU with zero prompt retention.

What does EU FLUX.1 [schnell] hosting cost?

Hardware from €0.85/hour, by the hour, week, month or year; the managed service is quoted per deployment. Request deployment and we confirm both in writing.

Ready to build on EU inference?

Request deployment Talk to an engineer

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