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FLUX recipes
Maintained family · Inference
FLUX inference recipes
Black Forest Labs' FLUX family covers FLUX.1 dev and FLUX.2 (dev and distilled Klein) text-to-image. FLUX.1 registers no `model_family` in the registry and is grouped under FLUX for documentation only.
Choose a model and GPU count
Choose a model, then pick a GPU count. Each selection maps to one checked-in recipe. If that recipe does not use your chosen count, the page says so instead of guessing.
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<a data-cookbook-source href="../../inference/examples/basic/">Open example source</a>
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Before you run
The generated commands expect a local clone:
git clone https://github.com/hao-ai-lab/FastVideo.git
cd FastVideo
Use Configuration for supported Python and CLI settings, Optimizations for attention and memory tradeoffs, and the support matrix for the supported model and optimization surface.
Troubleshooting
- FLUX.1 dev defaults to a local
official_weights/FLUX.1-devdirectory in the example; the cookbook command passes the Hugging Face ID explicitly instead. - Image outputs land under
outputs/; adjust--outputif that path is not writable. - Gated checkpoints (FLUX.1 dev): run
huggingface-cli loginand accept the license on Hugging Face first.
Evidence status
All recipes on this page are Source-backed: their commands, model IDs, and flags were validated against the checked-in FastVideo sources listed above (static validation). No runtime GPU validation is recorded for these recipes, so GPU model fit, memory use, throughput, and runtime duration are Unknown and deliberately not claimed. Runtime buttons show only the GPU counts configured in checked-in sources.