Home › Model Development › Diffusers

Diffusers - AI Model Development Tool

Overview

Diffusers is a library implementing state-of-the-art diffusion models for image, video, and audio generation. It supports both PyTorch and FLAX frameworks and is maintained on GitHub.

Key Features

  • Implements state-of-the-art diffusion models for image, video, and audio generation.
  • Supports both PyTorch and FLAX frameworks.
  • Provides tools and APIs for model development workflows.
  • Repository and source code hosted on GitHub.

Ideal Use Cases

  • Research and develop diffusion-model architectures.
  • Generate images using diffusion-based pipelines.
  • Create video content with diffusion methods.
  • Synthesize audio with diffusion techniques.
  • Prototype model-development workflows in PyTorch or FLAX.

Getting Started

  • Open the Diffusers GitHub repository.
  • Review README and repository documentation for usage instructions.
  • Select PyTorch or FLAX implementation for your project.
  • Install required dependencies listed in the repository.
  • Integrate the library into your model development workflow.

Pricing

Pricing is not disclosed in the provided tool data; the project is available via the GitHub repository.

Limitations

  • Intended for users familiar with PyTorch or FLAX frameworks.

Key Information

  • Category: Model Development
  • Type: AI Model Development Tool
Visit Official Website

Related Tools

Hugging Face Accelerate

A simple way to launch, train, and use PyTorch models on almost any device with support for distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP/DeepSpeed.
Hugging Face Transformers

A comprehensive library of pretrained models for text, vision, audio, video, and multimodal tasks, enabling fine-tuning and inference across many generative AI use cases.
lucataco/ai-toolkit

A Cog implementation of ostris/ai-toolkit designed for training LoRA models (specifically for FLUX.1-dev) using a custom image dataset. Note that it is marked as deprecated in favor of ostris/flux-dev-lora-trainer.
Unsloth AI

Unsloth AI is an enterprise platform that accelerates fine-tuning of large language models and vision models by leveraging innovative quantization techniques. It enables faster performance (up to 2.2x faster) and uses significantly less VRAM, making model deployment and training more efficient. The organization also offers open-source tools and models, and is integrated with Hugging Face, with additional details available on its website.
AutoTrain

Hugging Face AutoTrain is an automated machine learning (AutoML) tool that allows users to train, evaluate, and deploy state-of-the-art ML models without writing code. It supports a range of tasks including text classification, image classification, token classification, summarization, question answering, translation, tabular data tasks, and LLM finetuning, with seamless integration into the Hugging Face ecosystem.
ostris/ai-toolkit

An open‐source toolkit that provides various AI scripts centered around Stable Diffusion and model training. It includes a web UI for starting, stopping, and monitoring jobs, as well as support for training models such as FLUX.1-dev. The repository is implemented in Python (with requirements like PyTorch) and Node.js (for the UI), making it a valuable resource for developers working on AI model training and deployment.