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An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
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 ...
For AI art generation, which generates images from text prompts, NovelAI uses a custom version of the source-available Stable Diffusion [2] [14] text-to-image diffusion model called NovelAI Diffusion, which is trained on a Danbooru-based [5] [1] [15] [16] dataset. NovelAI is also capable of generating a new image based on an existing image. [17]
In August 2022 Stability AI rose to prominence with the release of its source and weights available text-to-image model Stable Diffusion. [1] On March 23, 2024, Emad Mostaque stepped down from his position as CEO. The board of directors appointed COO, Shan Shan Wong, and CTO, Christian Laforte, as the interim co-CEOs of Stability AI. [4]
Louisiana, Kentucky and New Hampshire -- are reporting high levels of respiratory illness, including common cold, flu, RSV and COVID, according to the CDC. Dr. Neil C. Bhavsar, an emergency ...
Wake Forest coach Dave Clawson is resigning after 11 seasons with the Demon Deacons, the school announced on Monday, ending one of the most successful tenures in program history.. Clawson, 57 ...
Woof — it’s been a looooooong week. If you feel like you’ve been working like a dog, let us offer you the internet equivalent of a big pile of catnip: hilarious tweets about pets.
The LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning. LDMs are widely used in practical diffusion models. For instance, Stable Diffusion versions 1.1 to 2.1 were based on the LDM architecture. [4]