Best AI tools for< Generate Face >

UnrealPhotoshoot is an AI-powered tool that allows users to generate hyper-realistic person images with just a few clicks. Users can specify the appearance, outfit, pose, and location of the person in the image, making it ideal for creative projects, marketing campaigns, and more. With features like modifying appearance, choosing outfits, specifying locations, cloning poses, and generating faces, UnrealPhotoshoot offers a convenient and innovative solution for creating realistic images without the need for professional models or elaborate photoshoots.

Nullface AI is an AI-powered platform that allows users to generate faceless videos for TikTok and YouTube. It simplifies content creation by transforming ideas into engaging videos without showing the user's face. With features like AI-powered audio, imagery, and subtitles, users can create videos effortlessly in various languages and genres. Nullface AI offers real engagement on social media platforms, a variety of backgrounds, AI-generated images, and stock videos to enhance video content. Users can personalize videos by selecting voices and synchronizing text with images. The platform also provides 'Automations' to generate videos daily based on user prompts, offering comprehensive control over audio and visual elements.

ShortsFaceless is an AI-powered platform that enables users to effortlessly generate faceless AI shorts for their channels. The platform offers a comprehensive solution for creating AI-generated videos, including script generation, image creation, voiceover selection, subtitle addition, and more. Users can quickly create engaging videos without the need for manual scripting, editing, or post-production work. With ShortsFaceless, content creators can save time and focus on creating high-quality videos for their audience.

ByteCap is an AI-powered video editing tool that allows users to create engaging and captivating videos with custom AI captions. With advanced speech recognition technology, users can auto-create accurate captions in multiple languages. The tool also enables the creation of stunning faceless videos by incorporating AI images, voice, and captions. Users can personalize their videos with custom captions, images, emojis, effects, music, and highlights. ByteCap offers a range of features such as customizable AI faceless videos, support for various caption formats, trendy sounds, background music, and expertly crafted caption themes. It is a versatile solution for video editors, content creators, podcasters, and streamers to enhance their video content and reach a wider audience.

M1-Project is an AI-powered marketing assistant tool designed to help small businesses develop winning marketing strategies without breaking the bank. It offers a range of tools such as Marketing Strategy Generator, ICP Generator, Facebook Ad Generator, Marketing Activities Generator, and Homepage Roaster to streamline marketing processes and boost business growth. The platform also provides case studies showcasing real results achieved by customers using AI insights. With a focus on AI-driven solutions, M1-Project aims to empower users with valuable marketing assistance and insights.

This website provides a comprehensive suite of free marketing tools that can be utilized to enhance your website, blog, or online business. The toolset encompasses SEO tools, AI tools, keyword research, image optimization, face generation, social media and advertising tools, and more. By leveraging these tools, you can analyze your web pages, elevate your SEO score, and bolster your marketing initiatives.

Videolulu is an AI-powered tool that enables users to generate faceless videos on autopilot. It allows users to turn their ideas into viral shorts in minutes by creating engaging content in popular formats for platforms like TikTok, Instagram, and YouTube. With a simple 4-step process, users can choose a video type, select a voice from a variety of AI voices, add background music, and select a video format using AI images, stock videos, or split screens. Videolulu offers different pricing plans to suit varying needs, from a free plan with limited features to premium plans with more credits and options.

Face Studio is an online tool that allows users to generate realistic faces using AI. Users can choose the gender, age, and ethnicity of the face they want to generate, and the tool will create a unique image. The tool is free to use and does not require any registration. Face Studio is a great way to create realistic images for use in a variety of projects, such as social media, marketing, and design.

This Person Does Not Exist is a website that generates random, realistic faces of people who do not exist. The website uses a neural network called StyleGAN, developed by Nvidia, to create these faces. StyleGAN is a generative adversarial network (GAN), which is a type of machine learning algorithm that can generate new data from a given dataset. In the case of StyleGAN, the dataset is a collection of images of human faces. The GAN is trained on this dataset, and it learns to generate new faces that are realistic and indistinguishable from real faces.

Face Swap AI is an AI application that allows users to create captivating face swapping videos instantly and completely anonymously. The tool uses advanced algorithms for face recognition, feature matching, and smooth blending to swap faces in videos. Users can swap faces with any person they want, protect their identity, and even become influencers without showing their real face. Face Swap AI offers different pricing plans with features like private generations, YouTube video upload, 4K/HD video export, tutorials, commercial license, and unlimited support tickets.

BabyFaceGenerator is an AI-based tool that analyzes up to 70 facial features of two partners to generate the face of a future baby. While it provides entertainment by predicting what a baby might look like, it is important to note that genetics are much more complex than the tool can accurately represent. The tool is available in multiple languages and offers a fun way for users to visualize potential offspring.

SwapMyFace is an AI-powered online tool that allows users to easily swap faces in any picture within seconds. With SwapMyFace, users can create funny, weird, and amazing face swaps without the need for Photoshop skills. The tool uses advanced AI technology to seamlessly merge faces and generate unique images. Users can upload their picture, select the picture where they want to put their face, and let the AI do the magic. SwapMyFace offers a chrome extension for quick and convenient face swapping directly from the browser. The tool provides 5 free generations for users to try before making any purchase.

Puppetry is an AI tool that provides a comprehensive toolset for creating videos with talking faces. It enables video content creators, game artists, educators, and marketers to generate talking videos using AI puppets and craft compelling scripts with the power of ChatGPT. Users can create engaging and informative videos using AI technology, including features like AI puppet creation, realistic avatars, advanced technology, and intuitive user interface.

Syntonym is a generative AI tool focused on privacy, specifically offering hyper-realistic face anonymization for videos and images. The technology creates unique and anonymous faces in real-time, ensuring individuals have a secure and reliable solution to safeguard their privacy and anonymity. Syntonym disrupts the way individuals are recorded by cameras, allowing them to be seen on their own terms and integrating privacy layers into video platforms for interactive communication. The tool removes biometrics to unlock unique video processing potential with real-time, lossless anonymization in compliance with privacy regulations.

Pseudoface is an AI application that allows users to create AI-generated faces to maintain anonymity in content creation. It offers a solution for creators who want to hide their real identity while still engaging with their audience. Pseudoface uses advanced AI algorithms to generate realistic face filters tailored to the user's facial features. The tool aims to provide privacy and security for content creators by allowing them to control how they appear online without compromising their identity.

Online AI Baby Generator is an AI application that predicts the appearance of a future child based on the facial features of the parents. It uses advanced algorithms to analyze parental photos, extract facial features, and combine them statistically to render the future child's appearance. The tool respects genetic inheritance, ensures privacy by encrypting and erasing user photos, and offers continuous innovation with features like changing hairstyles and clothes for future children. Users can upload parental photos, select gender and photo dimensions, and receive the prediction within minutes. The tool is designed for entertainment purposes and not for medical or genetic analysis.

SynthLife is an AI Influencer Creator tool that allows users to easily create, grow, and monetize virtual influencers. With features like creating faceless TikTok and YouTube channels, generating unique AI faces, and integrating with social media platforms, SynthLife provides a comprehensive solution for managing AI influencers. Users can create up to five Synths within one account, repurpose content from other channels, and bring their own AI faces into the platform. The tool offers different pricing plans with various features like auto-scheduling, image generation, social media integrations, and voice synthesis. SynthLife also provides a Terms of Use and Privacy Policy to ensure user data protection and copyright guidelines.

Stable Diffusion XL (SDXL) is the latest AI image generation model that can generate realistic faces, legible text within the images, and better image composition, all while using shorter and simpler prompts. It is an improved version of the previous Stable Diffusion models, with better photorealistic outputs, more detailed imagery, and improved face generation. SDXL is available via DreamStudio and other image generation apps like NightCafe Studio and ClipDrop. It can be used for a variety of tasks, including image generation, image-to-image prompting, inpainting, and outpainting.

AISaver is an advanced AI face swap tool that offers high-quality face swapping for videos, photos, and more. It provides various intelligent image and video processing services, including AI generation. With AISaver, users can effortlessly create amusing masterpieces by swapping faces in media files. The tool ensures fast, convenient, and secure transformations, delivering natural and realistic effects. Users can explore preset options, share their creations, and enjoy seamless blending with professional-grade editing.

Swapsurprise.ai is an innovative AI tool that allows users to create unique and engaging content by swapping faces in images. With a wide range of features and a user-friendly interface, Swapsurprise.ai is perfect for individuals looking to add a fun and creative touch to their photos. Whether you want to create fantasy characters, historical figures, or simply have a good laugh with friends, Swapsurprise.ai has you covered. The application leverages advanced AI technology to seamlessly blend faces and generate realistic results, making it a must-have tool for professionals, kids, and social media enthusiasts alike.

The GenAI repository contains pipelines that implement image and text generation tasks. The implementation uses OpenVINO capabilities to optimize the pipelines. Each sample covers a family of models and suggests certain modifications to adapt the code to specific needs. It includes the following pipelines: 1. Benchmarking script for large language models 2. Text generation C++ samples that support most popular models like LLaMA 2 3. Stable Diffuison (with LoRA) C++ image generation pipeline 4. Latent Consistency Model (with LoRA) C++ image generation pipeline

LayerSkip is an implementation enabling early exit inference and self-speculative decoding. It provides a code base for running models trained using the LayerSkip recipe, offering speedup through self-speculative decoding. The tool integrates with Hugging Face transformers and provides checkpoints for various LLMs. Users can generate tokens, benchmark on datasets, evaluate tasks, and sweep over hyperparameters to optimize inference speed. The tool also includes correctness verification scripts and Docker setup instructions. Additionally, other implementations like gpt-fast and Native HuggingFace are available. Training implementation is a work-in-progress, and contributions are welcome under the CC BY-NC license.

Generative AI Pharmacist is a project showcasing the use of generative AI tools to create an animated avatar named Macy, who delivers medication counseling in a realistic and professional manner. The project utilizes tools like Midjourney for image generation, ChatGPT for text generation, ElevenLabs for text-to-speech conversion, and D-ID for creating a photorealistic talking avatar video. The demo video featuring Macy discussing commonly-prescribed medications demonstrates the potential of generative AI in healthcare communication.

Bonito is an open-source model for conditional task generation, converting unannotated text into task-specific training datasets for instruction tuning. It is a lightweight library built on top of Hugging Face `transformers` and `vllm` libraries. The tool supports various task types such as question answering, paraphrase generation, sentiment analysis, summarization, and more. Users can easily generate synthetic instruction tuning datasets using Bonito for zero-shot task adaptation.

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.

This project is an LLM-based Advanced Prompt Generator designed to automate the process of prompt engineering by enhancing given input prompts using large language models (LLMs). The tool can generate advanced prompts with minimal user input, leveraging LLM agents for optimized prompt generation. It supports gpt-4o or gpt-4o-mini, offers FastAPI & Docker deployment for efficiency, provides a Gradio interface for easy testing, and is hosted on Hugging Face Spaces for quick demos. Users can expand model support to offer more variety and flexibility.

FaceAPI is an AI-powered tool for face detection, rotation tracking, face description, recognition, age, gender, and emotion prediction. It can be used in both browser and NodeJS environments using TensorFlow/JS. The tool provides live demos for processing images and webcam feeds, along with NodeJS examples for various tasks such as face similarity comparison and multiprocessing. FaceAPI offers different pre-built versions for client-side browser execution and server-side NodeJS execution, with or without TFJS pre-bundled. It is compatible with TFJS 2.0+ and TFJS 3.0+.

Semantic Kernel for Java is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. It allows defining plugins that can be chained together in just a few lines of code. The tool automatically orchestrates plugins with AI, enabling users to generate plans to achieve unique goals and execute them. The project welcomes contributions, bug reports, and suggestions from the community.

Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code. What makes Semantic Kernel _special_ , however, is its ability to _automatically_ orchestrate plugins with AI. With Semantic Kernel planners, you can ask an LLM to generate a plan that achieves a user's unique goal. Afterwards, Semantic Kernel will execute the plan for the user.

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.

MiniCPM is a series of open-source large models on the client side jointly developed by Face Intelligence and Tsinghua University Natural Language Processing Laboratory. The main language model MiniCPM-2B has only 2.4 billion (2.4B) non-word embedding parameters, with a total of 2.7B parameters. - After SFT, MiniCPM-2B performs similarly to Mistral-7B on public comprehensive evaluation sets (better in Chinese, mathematics, and code capabilities), and outperforms models such as Llama2-13B, MPT-30B, and Falcon-40B overall. - After DPO, MiniCPM-2B also surpasses many representative open-source large models such as Llama2-70B-Chat, Vicuna-33B, Mistral-7B-Instruct-v0.1, and Zephyr-7B-alpha on the current evaluation set MTBench, which is closest to the user experience. - Based on MiniCPM-2B, a multi-modal large model MiniCPM-V 2.0 on the client side is constructed, which achieves the best performance of models below 7B in multiple test benchmarks, and surpasses larger parameter scale models such as Qwen-VL-Chat 9.6B, CogVLM-Chat 17.4B, and Yi-VL 34B on the OpenCompass leaderboard. MiniCPM-V 2.0 also demonstrates leading OCR capabilities, approaching Gemini Pro in scene text recognition capabilities. - After Int4 quantization, MiniCPM can be deployed and inferred on mobile phones, with a streaming output speed slightly higher than human speech speed. MiniCPM-V also directly runs through the deployment of multi-modal large models on mobile phones. - A single 1080/2080 can efficiently fine-tune parameters, and a single 3090/4090 can fully fine-tune parameters. A single machine can continuously train MiniCPM, and the secondary development cost is relatively low.

sdkit (stable diffusion kit) is an easy-to-use library for utilizing Stable Diffusion in AI Art projects. It includes features like ControlNets, LoRAs, Textual Inversion Embeddings, GFPGAN, CodeFormer for face restoration, RealESRGAN for upscaling, k-samplers, support for custom VAEs, NSFW filter, model-downloader, parallel GPU support, and more. It offers a model database, auto-scanning for malicious models, and various optimizations. The API consists of modules for loading models, generating images, filters, model merging, and utilities, all managed through the sdkit.Context object.

This repository implements a speech-to-speech cascaded pipeline with consecutive parts including Voice Activity Detection (VAD), Speech to Text (STT), Language Model (LM), and Text to Speech (TTS). It aims to provide a fully open and modular approach by leveraging models available on the Transformers library via the Hugging Face hub. The code is designed for easy modification, with each component implemented as a class. Users can run the pipeline either on a server/client approach or locally, with detailed setup and usage instructions provided in the readme.

HF-LLM.rs is a CLI tool for accessing Large Language Models (LLMs) like Llama 3.1, Mistral, Gemma 2, Cohere and more hosted on Hugging Face. It allows interaction with various models, providing input and receiving responses in a terminal environment. Users can select models, input prompts, receive streaming output, and engage in chat mode. The tool supports a variety of models available on Hugging Face infrastructure, with the list continuously updated. Some models may require a Pro subscription for access.

Promptwright is a Python library designed for generating large synthetic datasets using a local LLM and various LLM service providers. It offers flexible interfaces for generating prompt-led synthetic datasets. The library supports multiple providers, configurable instructions and prompts, YAML configuration for tasks, command line interface for running tasks, push to Hugging Face Hub for dataset upload, and system message control. Users can define generation tasks using YAML configuration or Python code. Promptwright integrates with LiteLLM to interface with LLM providers and supports automatic dataset upload to Hugging Face Hub.

Promptwright is a Python library designed for generating large synthetic datasets using local LLM and various LLM service providers. It offers flexible interfaces for generating prompt-led synthetic datasets. The library supports multiple providers, configurable instructions and prompts, YAML configuration, command line interface, push to Hugging Face Hub, and system message control. Users can define generation tasks using YAML configuration files or programmatically using Python code. Promptwright integrates with LiteLLM for LLM providers and supports automatic dataset upload to Hugging Face Hub. The library is not responsible for the content generated by models and advises users to review the data before using it in production environments.

Ling is a MoE LLM provided and open-sourced by InclusionAI. It includes two different sizes, Ling-Lite with 16.8 billion parameters and Ling-Plus with 290 billion parameters. These models show impressive performance and scalability for various tasks, from natural language processing to complex problem-solving. The open-source nature of Ling encourages collaboration and innovation within the AI community, leading to rapid advancements and improvements. Users can download the models from Hugging Face and ModelScope for different use cases. Ling also supports offline batched inference and online API services for deployment. Additionally, users can fine-tune Ling models using Llama-Factory for tasks like SFT and DPO.

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Shaping Your Words, Crafting Your Style - Elevate Your Design with Custom Typography Expertise. Create, design, generate, develop, and inspire brand new fonts and type faces with DALL-E! Startup entrepreneurs, contractors, and hobbyists can use this to create vital branding assets.

Geneate an image ➡ Request modifications. This GPT supports generating consistent and continuous images with Dalle. It also offers the ability to restore or integrate photos you upload. ✔️Where to use: Wordpress Blog Post, Youtube thumbnail, AI profile, facebook, X, threads feed, Instagram reels

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