Jonas Müller
Also known as Jonas Julius Müller
Jonas Müller is a researcher in image-generation models and a founding member of Black Forest Labs. After studying at Heidelberg University from 2015 to 2022, he worked at Ludwig-Maximilians-Universität München from 2022 to 2023 and at Stability AI from 2023 to 2024. At Stability AI he coauthored the SDXL paper in 2023 and the Stable Diffusion 3 paper in 2024, which was named a Best Paper at ICML 2024. Since 2024, he is a founding member of Black Forest Labs, which he co-founded with Robin Rombach, Andreas Blattmann, Sumith Kulal and Tim Dockhorn, and in 2025 he coauthored the FLUX.1 Kontext report.
- Now at
- Black Forest Labs
Timeline
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2015–2022
Studies at Heidelberg University
Between 2015 and 2022, he studies at Heidelberg University, as an undergraduate from 2015 to 2019 and in a Master of Science program in scientific computing from 2020 to 2022.
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2022–2023
Semi-parametric image synthesis
From 2022 to 2023, he is an academic researcher at Ludwig-Maximilians-Universität München. In April 2022, he and Andreas Blattmann, Robin Rombach, Kaan Oktay and Björn Ommer post "Semi-Parametric Neural Image Synthesis", a NeurIPS 2022 paper that pairs small diffusion or autoregressive models with a separate image database and a retrieval strategy.
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2023–2024
Researcher at Stability AI
Stability AI employs him as a scientific researcher from 2023 to 2024. In July 2023, he is among the eight authors of SDXL, a text-to-image latent diffusion model with a UNet backbone three times larger than in earlier Stable Diffusion versions.
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March 2024
The Stable Diffusion 3 paper
In March 2024, he is among the authors of "Scaling Rectified Flow Transformers for High-Resolution Image Synthesis", the research behind Stable Diffusion 3. It presents a transformer-based text-to-image architecture that uses separate weights for the two modalities and enables a bidirectional flow of information between image and text tokens.
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2024
An ICML Best Paper
At ICML 2024, the rectified flow transformer paper, with him among its authors, is listed as a Best Paper.
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June 2025
The FLUX.1 Kontext report
In June 2025, he is among the authors of the FLUX.1 Kontext report, which presents a generative flow matching model that unifies image generation and editing.
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Since 2024
Co-founding Black Forest Labs
Since 2024, he is a founding member of Black Forest Labs, which he co-founds in 2024 with Robin Rombach, Andreas Blattmann, Sumith Kulal and Tim Dockhorn. In April 2025, he and Frederic Boesel build text-to-image AI technology at the startup, and in September 2026 he contributes to the Cyber Valley Start-up Voices session.
Career
- Since 2024Black Forest LabsFounding member
- 2023–2024Stability AIScientific researcher
- 2022–2023LMU MunichAcademic researcher
Education
- 2022Heidelberg UniversityMaster of Science in scientific computing
- From 2015Heidelberg UniversityUndergraduate
Sources and credits
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- Jonas Müller (Black Forest Labs) — Lacuna
- [2204.11824] Semi-Parametric Neural Image Synthesis
- [2307.01952] SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
- [2403.03206] Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
- ICML 2024 Awards
- [2506.15742] FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space
- Earlybird
- Meet the Forbes 30 Under 30 Europe class of 2025
- Cyber Valley Day 2026 | Cyber Valley


