Black Forest Labs maintains a significant public presence on GitHub, showcasing a variety of repositories primarily in Python and TypeScript. Notable projects include flux and flux2, which serve as official inference repositories for FLUX models. Their work emphasizes scalable synthesis and API integration, contributing to the open-source community.
Official inference repo for FLUX.1 models
Official inference repo for FLUX.2 models
[ICML'26] Code and website for Self-Flow: Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
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Official skills from Black Forest Labs for FLUX image generation models. These skills provide prompting guidelines and API integration patterns following the https://agentskills.io specification.
Official Python client for Black Forest Labs Cloud Platform
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Official FLUX MCP server. Generate, edit, vary, and browse FLUX images from any MCP client.
Black Forest Labs develops several projects on GitHub, focusing on inference models, self-supervised learning, and API guidelines. Their repositories, such as flux and Self-Flow, contribute to advancements in multi-modal synthesis and image generation.
The primary programming languages used by black-forest-labs are Python and TypeScript. These languages are utilized across various repositories, enabling the development of complex models and integration patterns for their projects.
Yes, black-forest-labs's repositories are public on GitHub. This allows users and developers to access and contribute to their projects, promoting collaboration and transparency within the open-source community.
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