In the Stable Diffusion model or the “Latent Diffusion Model” (LDM) the diffusion process happens in the latent space. This makes the denoising process faster. We used a pre-train variational ...

This project uses the Stable Diffusion model to generate images based on text prompts. It employs a diffusion process and the CLIP text encoder to create visually coherent images from user input. By ...

Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. It's trained on 512x512 images from a subset of the LAION-5B ...

In order to combine the text data into the image generation process of the diffusion model, Stable Diffusion is trained by inputting text encoded in the latent space along with noise. By doing ...

While most people use Stable Diffusion with text prompts, Bühlmann cut out the text encoder ... want your image compressor inventing details in an image that don't exist.) Also, decoding requires ...

Software engineer Matthew Bühlmann explains how to use such Stable Diffusion not only as an image generation AI but ... Variational Auto Encoder (VAE) encodes and decodes images from image ...

Abstract: Generative models, e.g., Stable Diffusion, have enabled the creation of photorealistic images from text prompts. Yet, the generation of 360-degree panorama images from text remains a ...