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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 ...
An improved flagship model, Flux 1.1 Pro was released on 2 October 2024. [ 25 ] [ 26 ] Two additional modes were added on 6 November, Ultra which can generate image at four times higher resolution and up to 4 megapixel without affecting generation speed and Raw which can generate hyper-realistic image in the style of candid photography .
Demonstration of the use of DreamBooth to fine-tune the Stable Diffusion v1.5 diffusion model, using training data obtained from Category:Jimmy Wales on Wikimedia Commons. Depicted here are algorithmically generated images of Jimmy Wales, co-founder of Wikipedia, performing bench press exercises at a fitness gym.
Stable Diffusion 3 (2024-03) [65] changed the latent diffusion model from the UNet to a Transformer model, and so it is a DiT. It uses rectified flow. It uses rectified flow. Stable Video 4D (2024-07) [ 66 ] is a latent diffusion model for videos of 3D objects.
The Latent Diffusion Model (LDM) [1] is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) [2] group at LMU Munich. [ 3 ] Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian ) on training images.
Today's Wordle Answer for #1274 on Saturday, December 14, 2024. Today's Wordle answer on Saturday, December 14, 2024, is DROOL. How'd you do? Next: Catch up on other Wordle answers from this week.
In general, Gallagher says that parental nudity in front of kids typically ends by the time a child is in the middle of elementary school, although there is variation based on the child and family ...
According to OpenAI, Sora is a diffusion transformer [9] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor.