Diffusers

Diffusers is a Python library providing pretrained diffusion models for generating images, audio, and 3D structures.

Diffusers is a Python library for pretrained diffusion models that generate images, audio, and 3D molecular structures. It provides a modular toolbox supporting both simple inference and custom model training. The library consists of three core components: diffusion pipelines, interchangeable noise schedulers, and pretrained building block models. Users can load models from the Hub with thousands of checkpoints or build custom end-to-end diffusion systems. It is designed for developers and researchers working with PyTorch who need flexibility and customizability in diffusion systems.

Diffusers at a glance

Best for: Software engineer, Researcher
Runs on: Linux, macOS, Windows, open source
Pricing: Free
Released: May 2022
Category: AI image tool
Website: github.com/huggingface/diffusers

Key features

State-of-the-art diffusion pipelines
Interchangeable noise schedulers
Pretrained models as building blocks
Inference optimization guides
Training guides for different tasks

Use it for

Generate images from text prompts
Perform text-guided image-to-image tasks
Execute text-guided image inpainting
Run super resolution on images
Train custom diffusion models

Alternatives to Diffusers

stable-diffusion.cpp — Runs diffusion models efficiently in pure C and C++ with no external dependencies.
OneTrainer — Supports a wide range of diffusion models and training methods in one interface.
TurboDiffusion — Accelerates video diffusion generation by up to 200 times on single GPUs.
SimpleTuner — It supports dozens of model families with advanced memory and enterprise features.
Dsh Sd Bridge Guard — Connects DeepSeek directly to local Stable Diffusion without manual setup.
Marigold — Extracts high-resolution depth maps and surface normals using adapted diffusion models.
LyCORIS — It provides diverse algorithms like LoHa, LoKr, and DyLoRA for Stable Diffusion fine-tuning.
KohakuMossTrainer — Fits adapter training onto cards with 6 GB of VRAM.
Lance — It supports unified image and video understanding, generation, and editing at a 3B scale.
Ultralytics YOLO — Delivers high-speed and high-accuracy results in real-time.
LoRA Scripts — Provides a complete web interface and scripts for kohya-ss trainer.
SANA — Provides optimized pipelines for generating high-resolution images and videos.

All Diffusers alternatives