Andreas Blattmann

Founder at Interdisciplinary Center for Scientific Computing, Heidelberg University

Freiburg im Breisgau, Baden-Württemberg, Germany
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Summary

🤩
Rockstar
Andreas Blattmann is a founder and ML-focused software engineer with eight years of experience based in Freiburg, Germany. As Co-Founder of Black Forest Labs and a contributor to CompVis’ widely used latent-diffusion project, he builds image-generation pipelines and hands-on dataset tooling, including an ImageNet dataset class and training configurations for unconditional and class-conditional models. He also integrated k‑NN image retrieval into inference workflows and authored training scripts for search components, highlighting a pragmatic focus on reproducible, production-ready ML systems. Combining entrepreneurial drive with research-informed engineering, he turns generative-model innovations into usable tooling and reliable training/inference pipelines.
code8 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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