FLUX.1 Schnell is a 12 billion parameter rectified flow transformer for text-to-image generation, built by Black Forest Labs. It is designed to produce high-quality images in just 1 to 4 steps using latent adversarial diffusion distillation.
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Max Output
n/a
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11.9B
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Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
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Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Black Forest Labs has not published a context window for Flux.1 Schnell, so the catalog shows it as not available rather than estimating one.
Yes. Flux.1 Schnell is an open-weight model released under the Apache 2.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Flux.1 Schnell accepts Text and produces Image. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Flux.1 Schnell is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Yes. Flux.1 Schnell is served on the managed pool through the OpenAI-compatible endpoint as bfl-flux-1-schnell, pinned by name or chosen by routing when it is the best fit for a request. The Try in Playground button opens it directly.
About 12.0 GB at INT8 for the weights and a default context, from the catalog's 11.9B parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Sep 22, 2026
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