Best AI tools for< Mask Faces >

DeepMake is a powerful generative AI tool that empowers users to unleash their creativity by providing control over Open Source AI tools for image and video editing. With DeepMake, users can create, edit, and enhance visual content without any usage limits or reliance on cloud services. The application runs locally on the user's computer, offering a higher level of control over AI-generated output. DeepMake continuously adds new AI tools to enhance functionality and keep users at the forefront of AI capabilities.

Protecto is an Enterprise AI Data Security & Privacy Guardrails application that offers solutions for protecting sensitive data in AI applications. It helps organizations maintain data security and compliance with regulations like HIPAA, GDPR, and PCI. Protecto identifies and masks sensitive data while retaining context and semantic meaning, ensuring accuracy in AI applications. The application provides custom scans, unmasking controls, and versatile data protection across structured, semi-structured, and unstructured text. It is preferred by leading Gen AI companies for its robust and cost-effective data security solutions.

Undress App is an AI tool that allows users to nudify any person in a photo using AI technology. The application provides a 3-step instruction on how to achieve this, emphasizing the importance of photo quality and proper positioning of the person in the image. It discusses the ethical implications of using AI to undress individuals and highlights the creative and potentially harmful uses of such technology. Undress App aims to offer a platform for creative self-expression and entertainment while acknowledging the potential misuse of the tool.

TUNiB is an AI application that specializes in creating conversational AI that people emotionally engage with. It offers services such as NLP APIs for detecting hate speech and breaches of private information, safety checks for toxicity detection, de-identification for masking personal information, and various analytics services like text, image, news, and video analytics. TUNiB aims to provide cutting-edge technologies while upholding high ethical standards.

MaskMyPrompt is an AI tool designed to anonymize prompts before sending them to ChatGPT. It ensures that your prompt data remains private by masking names and sensitive information. The tool is programmed by Mike Ushakov and ChatGPT, utilizing the powerful Transformers.js. Users can reach out for support or feature requests via email or Twitter.

Tovie AI is a platform offering Generative AI and on-prem LLM solutions for enterprise applications. It provides a range of AI tools such as GenAI Agents, Data Agent, Data Mask, AI Bots, Voice Bots, Chatbots, and Sector-specific Assistants. Tovie AI aims to enhance customer service, boost employee engagement, and improve business operations through its tailored AI solutions. The platform also offers consulting services to help businesses leverage Generative AI for business optimization and growth.

Virtual Staging is an AI-powered tool that allows you to virtually stage your empty rooms in seconds. Simply take a picture of your empty room, mask it, and get it staged in seconds. Virtual Staging is the only solution you need for virtual staging. It is realistic, lightning fast, and cheap. You can pay $1 instead of $25 for virtual staging.

FaceFusion is a next-generation face swapper and enhancer that allows users to seamlessly swap faces in images and videos, as well as enhance facial features for a more polished and refined look. With its advanced deep learning models, FaceFusion provides users with a wide range of options for customizing their face swaps and enhancements, making it an ideal tool for content creators, artists, and anyone looking to explore their creativity with facial manipulation.

Wunjo AI is a comprehensive tool that empowers users to explore the realm of speech synthesis, deepfake animations, video-to-video transformations, and more. Its user-friendly interface and privacy-first approach make it accessible to both beginners and professionals alike. With Wunjo AI, you can effortlessly convert text into human-like speech, clone voices from audio files, create multi-dialogues with distinct voice profiles, and perform real-time speech recognition. Additionally, you can animate faces using just one photo combined with audio, swap faces in videos, GIFs, and photos, and even remove unwanted objects or enhance the quality of your deepfakes using the AI Retouch Tool. Wunjo AI is an all-in-one solution for your voice and visual AI needs, offering endless possibilities for creativity and expression.

Stable Diffusion AI is an easy-to-use app for generating images from text or other images. It allows communication with servers powered by various AI technologies like AI Horde, Hugging Face Inference API, OpenAI, StabilityAI, and LocalDiffusion. The app supports Txt2Img and Img2Img modes, positive and negative prompts, dynamic size and sampling methods, unique seed input, and batch image generation. Users can also inpaint images, select faces from gallery or camera, and export images. The app offers settings for server URL, SD Model selection, auto-saving images, and clearing cache.

This repository contains a collection of papers and code for the CVPR 2024 conference. The papers cover a wide range of topics in computer vision, including object detection, image segmentation, image generation, and video analysis. The code provides implementations of the algorithms described in the papers, making it easy for researchers and practitioners to reproduce the results and build upon the work of others. The repository is maintained by a team of researchers at the University of California, Berkeley.

The collection of pre-trained, state-of-the-art AI models. ailia SDK is a self-contained, cross-platform, high-speed inference SDK for AI. The ailia SDK provides a consistent C++ API across Windows, Mac, Linux, iOS, Android, Jetson, and Raspberry Pi platforms. It also supports Unity (C#), Python, Rust, Flutter(Dart) and JNI for efficient AI implementation. The ailia SDK makes extensive use of the GPU through Vulkan and Metal to enable accelerated computing. # Supported models 323 models as of April 8th, 2024

LearnOpenCV is a repository containing code for Computer Vision, Deep learning, and AI research articles shared on the blog LearnOpenCV.com. It serves as a resource for individuals looking to enhance their expertise in AI through various courses offered by OpenCV. The repository includes a wide range of topics such as image inpainting, instance segmentation, robotics, deep learning models, and more, providing practical implementations and code examples for readers to explore and learn from.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

IOPaint is a free and open-source inpainting & outpainting tool powered by SOTA AI model. It supports various AI models to perform erase, inpainting, or outpainting tasks. Users can remove unwanted objects, defects, watermarks, or people from images using erase models. Additionally, diffusion models can replace objects or perform outpainting. The tool also offers plugins for interactive object segmentation, background removal, anime segmentation, super resolution, face restoration, and file management. IOPaint provides a web UI for easy access to the latest AI models and supports batch processing of images through the command line. Developers can contribute to the project by installing front-end dependencies, setting up the backend, and starting the development environment for both front-end and back-end components.

This repository contains an implementation of the Segment-Anything Model (SAM) within the SD WebUI. It allows users to divide layers in the SD WebUI and save them as PSD files. Users can adjust parameters, click 'Generate', and view the output below. A PSD file will be saved in the designated folder. The tool provides various parameters for customization, such as points_per_side, pred_iou_thresh, stability_score_thresh, crops_n_layers, crop_n_points_downscale_factor, and min_mask_region_area.

Hezar is an all-in-one AI library designed specifically for the Persian community. It brings together various AI models and tools, making it easy to use AI with just a few lines of code. The library seamlessly integrates with Hugging Face Hub, offering a developer-friendly interface and task-based model interface. In addition to models, Hezar provides tools like word embeddings, tokenizers, feature extractors, and more. It also includes supplementary ML tools for deployment, benchmarking, and optimization.

llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.

InternVL scales up the ViT to _**6B parameters**_ and aligns it with LLM. It is a vision-language foundation model that can perform various tasks, including: **Visual Perception** - Linear-Probe Image Classification - Semantic Segmentation - Zero-Shot Image Classification - Multilingual Zero-Shot Image Classification - Zero-Shot Video Classification **Cross-Modal Retrieval** - English Zero-Shot Image-Text Retrieval - Chinese Zero-Shot Image-Text Retrieval - Multilingual Zero-Shot Image-Text Retrieval on XTD **Multimodal Dialogue** - Zero-Shot Image Captioning - Multimodal Benchmarks with Frozen LLM - Multimodal Benchmarks with Trainable LLM - Tiny LVLM InternVL has been shown to achieve state-of-the-art results on a variety of benchmarks. For example, on the MMMU image classification benchmark, InternVL achieves a top-1 accuracy of 51.6%, which is higher than GPT-4V and Gemini Pro. On the DocVQA question answering benchmark, InternVL achieves a score of 82.2%, which is also higher than GPT-4V and Gemini Pro. InternVL is open-sourced and available on Hugging Face. It can be used for a variety of applications, including image classification, object detection, semantic segmentation, image captioning, and question answering.

Zeta is a tool designed to build state-of-the-art AI models faster by providing modular, high-performance, and scalable building blocks. It addresses the common issues faced while working with neural nets, such as chaotic codebases, lack of modularity, and low performance modules. Zeta emphasizes usability, modularity, and performance, and is currently used in hundreds of models across various GitHub repositories. It enables users to prototype, train, optimize, and deploy the latest SOTA neural nets into production. The tool offers various modules like FlashAttention, SwiGLUStacked, RelativePositionBias, FeedForward, BitLinear, PalmE, Unet, VisionEmbeddings, niva, FusedDenseGELUDense, FusedDropoutLayerNorm, MambaBlock, Film, hyper_optimize, DPO, and ZetaCloud for different tasks in AI model development.

COMFYUI LLM PARTY is a node library designed for LLM workflow development in ComfyUI, an extremely minimalist UI interface primarily used for AI drawing and SD model-based workflows. The project aims to provide a complete set of nodes for constructing LLM workflows, enabling users to easily integrate them into existing SD workflows. It features various functionalities such as API integration, local large model integration, RAG support, code interpreters, online queries, conditional statements, looping links for large models, persona mask attachment, and tool invocations for weather lookup, time lookup, knowledge base, code execution, web search, and single-page search. Users can rapidly develop web applications using API + Streamlit and utilize LLM as a tool node. Additionally, the project includes an omnipotent interpreter node that allows the large model to perform any task, with recommendations to use the 'show_text' node for display output.

NNStreamer is a set of Gstreamer plugins that allow Gstreamer developers to adopt neural network models easily and efficiently and neural network developers to manage neural network pipelines and their filters easily and efficiently.

The Segment Anything Model (SAM) is a powerful tool that allows users to segment any object in an image with just a few clicks. This makes it a great tool for a variety of tasks, such as object detection, tracking, and editing. SAM is also very easy to use, making it a great option for both beginners and experienced users.

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