description |
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Hugging face diffusers and it allows one to customize the inage generation pipeline. |
Huggingce Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. It can be used to:
- The simple inference solution
- Training customize diffusion model
It focus on:
- Usability over performance
- Simple over easy
- Customizability over abstractions
It has three main componenets:
- State-of-the-art
diffusion pipelines
for interence with code - Interchangeable
noise schedulers
for balancing trade-offs between generation speed and quality - Pretrained
models
that can be used as building blocks, and combined with schedulers, for creating end-to-end diffusion systems