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Stable Diffusion 3

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Stable Diffusion 3
Paper summary

Stability AI previews Stable Diffusion 3, a suite of image-generation models from 800M to 8B parameters that shifts to a diffusion-transformer backbone with flow matching.

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Key points
01

DiT + flow matching: Replaces the U-Net backbone of prior SD releases with a diffusion transformer trained via flow matching, enabling cleaner scaling and higher-fidelity outputs.

02

Model range: Suite scales from 800M up to 8B parameters, letting the same architecture target everything from on-device use to production-grade quality.

03

Prompt adherence: Major improvements in multi-subject composition where prior SD versions would merge or drop subjects, plus noticeably better in-image text rendering and spelling.

04

Early preview: Released first as a waitlist-based preview while the full technical report and weights are staged, with research access prioritized.

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