Hugging Face Diffusers
hugging-face-diffusers-49b9542d·4 events·first seen 28d agoAliases: Hugging Face Diffusers
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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.
ControlNet in 🧨 Diffusers
Hugging Face's Diffusers library added support for ControlNet, a technique that enables fine-grained spatial and structural control over diffusion model image generation. The blog post covers how ControlNet conditions image synthesis on auxiliary inputs such as edge maps, depth maps, pose skeletons, and segmentation masks. This integration makes ControlNet-based generation accessible through the standard Diffusers pipeline API.
Using Stable Diffusion with Core ML on Apple Silicon
Hugging Face published a guide on running Stable Diffusion models via Apple's Core ML framework on Apple Silicon hardware. The post covers converting diffusion model weights to Core ML format and integrating them into the Diffusers library for on-device inference. This represents an early effort to enable efficient local image generation on consumer Apple hardware without requiring cloud GPU resources.
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.