diffusers and Diffusion_models_tutorial

diffusers
87
Verified
Diffusion_models_tutorial
51
Established
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 15/25
Stars: 33,029
Forks: 6,832
Downloads:
Commits (30d): 85
Language: Python
License: Apache-2.0
Stars: 162
Forks: 18
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No risk flags
No Package No Dependents

About diffusers

huggingface/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

This library helps developers and researchers create or use AI models that generate new images, audio, or even molecular structures. You provide text descriptions or existing data, and it outputs novel visual, auditory, or structural content. It's designed for machine learning practitioners and AI artists.

AI-art-generation synthetic-media AI-research computational-chemistry

About Diffusion_models_tutorial

FilippoMB/Diffusion_models_tutorial

Collection of tutorials on diffusion models, step-by-step implementation guide, scripts for generating images with AI, prompt engineering guide, and resources for further learning.

This project provides a comprehensive guide for anyone interested in generating high-quality images using AI. You can input text descriptions or existing images to create new visuals, from basic portraits to complex artistic scenes. It's designed for artists, designers, marketers, or hobbyists looking to explore AI-powered image creation and learn the underlying techniques.

digital-art image-generation creative-design prompt-engineering AI-art

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