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Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco–based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.
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 ...
Prompt engineering is enabled by in-context learning, defined as a model's ability to temporarily learn from prompts. The ability for in-context learning is an emergent ability [ 14] of large language models. In-context learning itself is an emergent property of model scale, meaning breaks [ 15] in downstream scaling laws occur such that its ...
New tools like OpenAI’s DALL-E 2 and Midjourney allow anyone to type a series of prompts (“a bird sitting in a tree on a sunny day in the style of Rembrandt,” for example) and output an ...
The popular artificial intelligence image-generator Midjourney has started blocking its users from creating fake images of President Joe Biden and former President Donald Trump ahead of the ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model 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.
After this step, the model was then fine-tuned with reinforcement learning feedback from humans and AI for human alignment and policy compliance. [ 3 ] : 2 Observers reported that the iteration of ChatGPT using GPT-4 was an improvement on the previous iteration based on GPT-3.5, with the caveat that GPT-4 retains some of the problems with ...