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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.
Chinese AI startup DeepSeek has launched a “revolutionary” new image generator that it claims can outperform the best models built by US-based rivals at a fraction of the price.. The launch of ...
[134] [135] Additionally, an AI-generated image of an attack on the Pentagon went viral as part of a hoax news story on Twitter. [136] [137] In the days before March 2023 indictment of Donald Trump as part of the Stormy Daniels–Donald Trump scandal, several AI-generated images allegedly depicting Trump's arrest went viral online.
The company said its Janus-Pro-7B AI model outperformed OpenAI's DALL-E 3 and Stability AI's Stable Diffusion in a leaderboard ranking for image generation using text prompts. The new model is an ...
U-Net is a convolutional neural network that was developed for image segmentation. [1] The network is based on a fully convolutional neural network [2] whose architecture was modified and extended to work with fewer training images and to yield more precise segmentation.
A viral image shared on Threads purports to show Tesla CEO and owner of X, Elon Musk, in a short mesh shirt. View on Threads Verdict: False The claim is false, as content detection scans from Hive ...
Image Featurizer: CLIP's image encoder can be adapted as a pre-trained image featurizer. This can then be fed into other AI models. [1] Text-to-Image Generation: Models like Stable Diffusion use CLIP's text encoder to transform text prompts into embeddings for image generation. [3]
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