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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.
Generated images are tagged with an invisible digital watermark to allow users to identify an image as generated by Stable Diffusion, [8] although this watermark loses its efficacy if the image is resized or rotated. [51] Each txt2img generation will involve a specific seed value which affects the output image.
As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [184] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [185]
According to a test performed by Ars Technica, the outputs generated by Flux.1 Dev and Flux.1 Pro are comparable with DALL-E 3 in terms of prompt fidelity, with the photorealism closely matched Midjourney 6 and generated human hands with more consistency over previous models such as Stable Diffusion XL. [32]
Hotpot.ai showed an image with two female designers, both white (and hence the image was considered "white woman" for analysis purposes). One of the women was dark skinned. And one was a white man.
After training to convergence, it can be used for image generation by starting with an image composed of random noise, and applying the network iteratively to denoise the image. Diffusion-based image generators have seen widespread commercial interest, such as Stable Diffusion and DALL-E. These models typically combine diffusion models with ...
The Fréchet inception distance (FID) is a metric used to assess the quality of images created by a generative model, like a generative adversarial network (GAN) [1] or a diffusion model. [2] [3] The FID compares the distribution of generated images with the distribution of a set of real images (a "ground truth" set).
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.