Data and AI releases

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FLUX Outpainting , New Fast Mode

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FLUX Outpainting now supports a mode parameter that trades quality for speed.

Read on docs.bfl.ml

Also shipped Jun 9, 2026Black Forest Labs in June 2026 →

Modal 1.5.0

This is a major release that includes several new features (named Images, version-pinned Function lookups, Sandbox domain allowlists), a new modal skills CLI, and a small number of breaking changes. We're introducing a "named Image" concept, akin to a Modal-native Image registry.

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More from FLUX APIEvery FLUX API release →

Key Features

- mode: "fast" , Significantly faster extension, well-suited for landscapes, backgrounds, textures, and products. Typically lower cost. mode: "high" (default) , Unchanged highest-fidelity path; recommended when fine detail, prompt adherence, or consistency with complex source content matters.

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Endpoint

POST /v1/flux-tools/outpainting-v1 See Choosing a mode in the FLUX Outpainting documentation.

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Moderation Responses Now Include Reasons

When a request or result is moderated, the polling response's details field now includes a Moderation Reasons array naming the categories that triggered the filter (for example Violence or Sexual Content ). Use it to adjust the request or surface a message to your users.

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Key Features

- Flexible references , Single garments, multi-garment outfits, and model-to-model references Packshot or on-model , Accepts both flat-lay garment images and on-model imagery Low latency , Optimized for fitting rooms, social filters, and interactive experiences Up to 2MP input , Larger inputs auto-downscale to ~1MP

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Endpoint

POST /v1/flux-tools/vto-v1 Get started in the FLUX Virtual Try-On documentation , or try the public demo .

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Key Features

- Faithful restoration , Reconstructs fine detail while preserving character identity, colors, objects, lighting, and composition No prompt required , Send the image; the model sharpens the whole frame automatically Up to 4MP input , As base64 or an image URL Built for volume , Low-latency and low-cost, suited to interactive and high-throughput workflows

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