• open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
• distillation — Training a small, cheap model to imitate a big one's outputs, keeping much of the capability at a fraction of the cost.

Downloadable, fine-tunable weights that drop into an existing FLUX.1-dev pipeline, plus the training reasoning for why standard aesthetic and prompt-adherence benchmarks push image models toward waxy, blurred output.

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