This is the Linux app named ConsistencyDecoder whose latest release can be downloaded as consistencydecodersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named ConsistencyDecoder with OnWorks for free.
Suivez ces instructions pour exécuter cette application :
- 1. Téléchargé cette application sur votre PC.
- 2. Entrez dans notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous voulez.
- 3. Téléchargez cette application dans ce gestionnaire de fichiers.
- 4. Démarrez l'émulateur en ligne OnWorks Linux ou Windows en ligne ou l'émulateur en ligne MACOS à partir de ce site Web.
- 5. Depuis le système d'exploitation OnWorks Linux que vous venez de démarrer, accédez à notre gestionnaire de fichiers https://www.onworks.net/myfiles.php?username=XXXXX avec le nom d'utilisateur que vous souhaitez.
- 6. Téléchargez l'application, installez-la et exécutez-la.
CAPTURES D'ÉCRAN:
Décodeur de cohérence
DESCRIPTION:
ConsistencyDecoder is a Python package from OpenAI that introduces an improved decoding method for variational autoencoders (VAEs) used in Stable Diffusion pipelines. Instead of relying solely on the standard GAN or VAE decoder, this approach leverages a Consistency Distilled Diff VAE, designed to produce higher-quality and more stable outputs from encoded latents. The project provides a simple API for encoding with a Stable Diffusion VAE and decoding using the new consistency model, allowing for side-by-side comparisons with traditional decoders. It demonstrates how consistency models can enhance visual fidelity while maintaining efficiency, reducing artifacts common in GAN-decoded outputs. The repository includes installation instructions, usage examples, and visual comparisons to highlight improvements. Though compact, it provides an accessible entry point for experimenting with advanced decoding strategies in diffusion-based generative models.
Caractéristiques
- Consistency Distilled Diff VAE for improved decoding in Stable Diffusion
- Compatible with Hugging Face Diffusers StableDiffusionPipeline
- Provides side-by-side comparisons of GAN, VAE, and consistency decoders
- Simple API for encoding latents and decoding with the new method
- Example images included for testing and reproducibility
- Lightweight Python package installable directly from GitHub
Langage de programmation
Python
Catégories
This is an application that can also be fetched from https://sourceforge.net/projects/consistencydecoder.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.