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.
Related guides (4)
Related events (8)
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.
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.
Training Stable Diffusion with Dreambooth using Diffusers
This Hugging Face blog post describes how to fine-tune Stable Diffusion models using the DreamBooth technique via the Diffusers library. DreamBooth enables personalized text-to-image generation by training a model on a small set of reference images. The post covers the technical workflow for applying this fine-tuning approach within the Diffusers ecosystem.
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.
Swift Diffusers: Fast Stable Diffusion for Mac
Hugging Face published a blog post introducing Swift Diffusers, a native macOS/iOS application for running Stable Diffusion models locally on Apple Silicon hardware. The post covers optimizations leveraging Apple's Core ML framework to accelerate inference on Mac. This represents an effort to bring on-device diffusion model inference to consumer Apple hardware without cloud dependency.
Stable Diffusion in JAX / Flax
Hugging Face published a blog post demonstrating Stable Diffusion running in JAX/Flax, enabling efficient inference on TPU hardware. The post covers the technical implementation of diffusion pipelines using Flax's functional programming model. This represents an early effort to bring high-performance image generation to Google's TPU ecosystem via the Diffusers library.
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.
The Annotated Diffusion Model
A Hugging Face blog post providing a detailed, annotated walkthrough of diffusion models for image generation, likely covering the mathematical foundations and implementation details of denoising diffusion probabilistic models (DDPMs). The post serves as an educational deep-dive into the architecture and training process of diffusion-based generative models. Published in mid-2022, it coincides with the period of rapid growth in diffusion model adoption.