Black Forest Labs: concatenated-context image generation and iterative editing

What is recorded here?

Used text/image semantic context through sequence concatenation in a flow-matching model to unify local and generative editing, introducing a benchmark for single-turn quality and multi-turn consistency.

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Scientific scope

Flow matching, multimodal transformers and prior inpainting/editing are inherited. Acquired delta is in-context integration/evaluation resource, not first image editing or perfect character preservation. Noncommercial/open-weight and proprietary variants are not conflated.

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People and systems

Stephen Batifol; Andreas Blattmann; Frederic Boesel; Saksham Consul; Cyril Diagne; Tim Dockhorn; Jack English; Zion English; Patrick Esser; Sumith Kulal; Kyle Lacey; Yam Levi; Cheng Li; Dominik Lorenz; Jonas Müller; Dustin Podell; Robin Rombach; Harry Saini; Axel Sauer; Luke Smith

Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

Research locations and affiliations