The SDXL VAE is the variational autoencoder component used by Stability AI's Stable Diffusion XL model. It encodes images into a compressed latent representation and decodes them back to pixel space. This model can be used independently or integrated into custom diffusion pipelines via the Diffusers library.
Sdxl Vae sits in PulseGate's Image generation category. Efficiently compressing and reconstructing images in the latent space for diffusion models. It is built as an open-source project for developers. Sdxl Vae is open source under the Open Source license. The product ships for the web, the command line, and API.
It is developed by Stability AI, and the product first shipped in 2021. Development happens publicly on GitHub with 73.2k stars. Key capabilities include image encoding, image decoding, and latent space.
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