Andreas Blattmann

Founder at Interdisciplinary Center for Scientific Computing, Heidelberg University

Freiburg im Breisgau, Baden-Württemberg, Germany
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Summary

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Rockstar
Andreas Blattmann is a founder and software engineer based in Freiburg, Germany, with nine years of experience building ML-driven systems and startups. As co-founder of Black Forest Labs, he blends product-minded entrepreneurship with hands-on machine learning engineering, particularly in generative image models. His open-source contributions to the well-known CompVis latent-diffusion project include dataset engineering for ImageNet, training configurations for conditional and unconditional models, and a k-NN image retrieval integration that bridges generation and search. That combination of production ML pipelines and research-adjacent work highlights his ability to move cutting-edge image synthesis from prototypes toward deployable tooling.
code9 years of coding experience
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Github Skills (6)

computer-vision10
pytorch10
machine-learning10
deep-learning10
python10
image-processing10

Programming languages (5)

TypeScriptC++JavaScriptJupyter NotebookPython

Github contributions (5)

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CompVis/latent-diffusion

Dec 2021 - Jul 2022

High-Resolution Image Synthesis with Latent Diffusion Models
Role in this project:
userML Engineer
Contributions:2 reviews, 11 commits, 1 PR in 7 months
Contributions summary:Andreas contributed to the development of the latent diffusion model, adding code related to image processing, dataset handling, and model training. They implemented a new dataset class for ImageNet and added configurations for training unconditional and class-conditional latent diffusion models. The user also integrated a k-NN search for image retrieval within the inference script and added a script for training the searcher, showcasing the development of image generation pipelines.
pytorchimage-synthesisdeep-learningsynthesisresolution
Contributions:40 commits, 20 pushes, 2 branches in 2 months
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Andreas Blattmann - Founder at Interdisciplinary Center for Scientific Computing, Heidelberg University