This is the Linux app named Diffusers whose latest release can be downloaded as PatchRelease_FixLorafusing_unfusing.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Diffusers with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
SCREENSHOTS
Ad
Diffusers
DESCRIPTION
Diffusers is the go-to library for state-of-the-art pretrained diffusion models for generating images, audio, and even 3D structures of molecules. Whether you're looking for a simple inference solution or training your own diffusion models, Diffusers is a modular toolbox that supports both. Our library is designed with a focus on usability over performance, simple over easy, and customizability over abstractions. State-of-the-art diffusion pipelines that can be run in inference with just a few lines of code. Interchangeable noise schedulers for different diffusion speeds and output quality. Pretrained models that can be used as building blocks, and combined with schedulers, for creating your own end-to-end diffusion systems. We recommend installing Diffusers in a virtual environment from PyPi or Conda. For more details about installing PyTorch and Flax, please refer to their official documentation.
Features
- Apple Silicon (M1/M2) support
- State-of-the-art diffusion pipelines that can be run in inference with just a few lines of code
- Interchangeable noise schedulers for different diffusion speeds and output quality
- Pretrained models that can be used as building blocks
- Schedulers, for creating your own end-to-end diffusion systems
- To generate an image from text, use the from_pretrained method to load any pretrained diffusion model
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/diffusers.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
