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This AI Avatar tool allows users to create their own art portraits by uploading 20 photos of themselves. The photos are then used to train a dedicated neural network which generates avatars in 50 different styles. The avatars are 512x512px by default, though users can choose to upscale them to 2048x2048px. The tool also offers a Prompts feature which allows users to create custom avatars, an Outpainting feature which can improve some avatars, and a Dashboard UI to browse avatars and create new ones.
ControlNet Pose tool is used to generate images that have the same pose as the person in the input image. It uses Stable Diffusion and Controlnet to copy weights of neural network blocks into a "locked" and "trainable" copy. The user can define the number of samples, image resolution, guidance scale, seed, eta, added prompt, negative prompt, and resolution for detection. The predictions usually complete within 21 seconds.
Deepfakes.lol is an online platform that enables users to create humorous video memes by manipulating facial expressions and voiceovers, allowing individuals to make celebrities say unconventional or amusing phrases. The site emphasizes a light-hearted tone with the tagline "Make celebrities say anything. lol." Users can access examples and employ the service after agreeing to the terms of service. The tool offers a creative outlet for generating entertaining content through the application of deepfake technology, enhancing user engagement and amusement.
Prodia is an image API that enables users to generate images from text in seconds. It offers a free-to-use playground to experiment with AI image generation, and boasts more than 10,000 GPUs and the ability to generate 50 million images, making it suitable for expansive application requirements. It features a fast API with 2 second generation time, and is designed to cut 50-90% off the user's text-to-image production expenses compared to conventional clouds.
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AI-powered solutions to help optimize ad creative and build memorable campaigns. Their deep-learning models are trained with millions of human reactions to content to predict the saliency and memorability of each asset. They offer products to pretest and optimize creative strategies, and their accuracy has been tested against human behavior.