huggingface.co
Creates or edits images with generative models and visual controls.
ClearTK
ClearTK is a framework for developing statistical natural language processing components in Java, built on top of Apache UIMA. It is developed by the Center for Computational Language and Education Research (CLEAR) at the University of Colorado at Boulder. The project is built with Maven, and the repository includes sub-projects such as cleartk-feature and modules for several machine learning libraries.
GitHub repo Directory import
Features
- built on top of Apache UIMA Source: github.com
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Creates or edits images with generative models and visual controls.
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0PhotoRestore.ai is a web tool that restores old, damaged and faded photos using AI. It fixes scratches, colorizes black and white images and enhances faces. Users upload a photo, restore it, then download and share the result. Restoration credits are sold in one-time packs and monthly subscriptions.
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0Pika offers self-contained AI creative tools for video, image and sound work. Tools include Video Studio for generating clips up to a 30-second multi-shot video, Color Grade for adjusting color and contrast, Extend Video for lengthening clips with extra frames, and Pika Soundtrack for scoring clips. Character Studio, Image Studio and Product Shot support image creation and editing. Support is available for the web, the iOS app and the API.
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0MyPicNow is an AI headshot generator that creates studio-quality, photorealistic AI headshots matching the user's likeness. It offers over 60 professional photo styles for use on platforms including LinkedIn, dating apps, and social media, and generates high-quality photos in seconds without requiring a professional photographer.
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0FaceApp creates or edits images with generative AI and text-based controls.
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0A blog post presenting findings and tips on fine-tuning Stable Diffusion with the Dreambooth technique using Diffusers. It describes experiments with hyperparameters and settings, recommending a low learning rate and progressively more training steps, and notes that faces need more steps and prior preservation.
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A blog post presenting findings and tips on fine-tuning Stable Diffusion with the Dreambooth technique using Diffusers. It describes experiments with hyperparameters and settings, recommending a low learning rate and progressively more training steps, and notes that faces need more steps and prior preservation.