diffusers and auto_diffusers

Auto_diffusers is a wrapper around Diffusers that adds search functionality to help users discover and select appropriate models, making it a complement rather than a competitor.

diffusers
90
Verified
auto_diffusers
44
Emerging
Maintenance 25/25
Adoption 15/25
Maturity 25/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 18/25
Community 6/25
Stars: 33,029
Forks: 6,832
Downloads: —
Commits (30d): 82
Language: Python
License: Apache-2.0
Stars: 12
Forks: 1
Downloads: 151
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No risk flags

About diffusers

huggingface/diffusers

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

Provides modular, composable building blocks—including interchangeable noise schedulers, pretrained models, and end-to-end pipelines—enabling both quick inference and custom system design via the Hugging Face Model Hub. Emphasizes transparency and customizability over abstraction, allowing developers to inspect and modify individual diffusion components rather than treating them as black boxes.

About auto_diffusers

suzukimain/auto_diffusers

diffusers with search engine

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