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The second version, released on 2014-08-01, was a complete rewrite in JavaScript and Electron to make the application work as both a web app in a browser and a regular desktop application. The third major release (2017-06-06) introduced a new user interface based on Xel, an HTML5 widget toolkit.
The encoder part of the VAE takes an image as input and outputs a lower-dimensional latent representation of the image. This latent representation is then used as input to the U-Net. Once the model is trained, the encoder is used to encode images into latent representations, and the decoder is used to decode latent representations back into images.
AlexNet contains eight layers: the first five are convolutional layers, some of them followed by max-pooling layers, and the last three are fully connected layers. The network, except the last layer, is split into two copies, each run on one GPU. [1] The entire structure can be written as
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.
ANGLE is currently used in a number of programs and software. Chromium and Google Chrome. [9] Chrome uses ANGLE not only for WebGL, but also for its implementation of the 2D HTML5 canvas and for the graphics layer of the Google Native Client (which is OpenGL ES 2.0 compatible).
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Diagram of the latent diffusion architecture used by Stable Diffusion The denoising process used by Stable Diffusion. The model generates images by iteratively denoising random noise until a configured number of steps have been reached, guided by the CLIP text encoder pretrained on concepts along with the attention mechanism, resulting in the desired image depicting a representation of the ...
In text-to-image retrieval, users input descriptive text, and CLIP retrieves images with matching embeddings. In image-to-text retrieval, images are used to find related text content. CLIP’s ability to connect visual and textual data has found applications in multimedia search, content discovery, and recommendation systems. [31] [32]