Ethical Guidelines for Developing the Diffusers Library
Hugging Face published a set of ethical guidelines governing the development of its Diffusers library, a widely-used open-source toolkit for diffusion-based generative models. The guidelines address responsible development practices, content moderation considerations, and the handling of potentially harmful use cases. This represents an early attempt by a major ML tooling provider to formalize ethics policies at the library/infrastructure level rather than solely at the model or application layer.
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Related events (8)
What's new in Diffusers? — Hugging Face Diffusers Library Second Month Update
Hugging Face published a blog post summarizing new features and updates added to the Diffusers library in its second month of development. The post covers new pipelines, model integrations, and tooling improvements for diffusion-based generative image models. This represents an early-stage ecosystem update for one of the primary open-source libraries supporting text-to-image and related diffusion model workflows.
Stable Diffusion with 🧨 Diffusers
Hugging Face published a blog post introducing Stable Diffusion integration with their Diffusers library, covering the model's architecture and how to run it using the open-source tooling. The post appeared at the time of Stable Diffusion's public release in August 2022, marking a significant moment in accessible text-to-image generation. It served as both a technical introduction and a practical guide for the community to adopt the model.
Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines
Hugging Face introduces Modular Diffusers, a new framework design that breaks diffusion pipelines into composable, interchangeable building blocks. The approach aims to make it easier to mix and match components such as encoders, denoisers, and decoders across different diffusion model architectures. This represents a significant refactor of the Diffusers library's pipeline abstraction, targeting researchers and developers who need flexible pipeline construction without rewriting boilerplate code.
Diffusers welcomes Stable Diffusion 3
Hugging Face's Diffusers library adds support for Stable Diffusion 3, enabling users to run Stability AI's latest text-to-image model through the standard Diffusers API. The post covers integration details, usage patterns, and memory optimization techniques for running SD3 locally. This marks the open-weights availability of SD3 through a major ML tooling ecosystem.
Diffusers welcomes Stable Diffusion 3.5 Large
Hugging Face's Diffusers library has added support for Stable Diffusion 3.5 Large, Stability AI's latest image generation model. The blog post covers integration details, usage patterns, and how to run the model within the Diffusers ecosystem. This represents a standard tooling integration announcement for a recently released frontier image generation model.
State of open video generation models in Diffusers
Hugging Face published a survey of open-source video generation models integrated into the Diffusers library as of January 2025. The post covers the current landscape of available open video generation models, their capabilities, and how they are supported within the Diffusers ecosystem. This serves as a reference for practitioners looking to use or compare open-weights video generation models.
Ethics and Society Newsletter #3: Ethical Openness at Hugging Face
Hugging Face's Ethics and Society team publishes their third newsletter focusing on the concept of 'ethical openness' — the tension between open-source AI development and potential harms. The piece examines how openness in AI models and datasets intersects with safety, accountability, and responsible deployment. It reflects ongoing internal and community discourse at Hugging Face about balancing accessibility with risk mitigation.
Diffusers welcomes FLUX-2
Hugging Face's Diffusers library has added support for FLUX-2, the successor to Black Forest Labs' FLUX image generation model. The blog post announces integration of the new model into the Diffusers ecosystem, enabling developers to use FLUX-2 through the standard Diffusers API. This represents a tooling and ecosystem update for one of the leading open-weights image generation model families.