ai-tools products

ControlNet is a neural network architecture that adds conditional control to text-to-image diffusion models like Stable Diffusion. It enables precise control over image generation using various input conditions such as edge maps, depth maps, poses, and segmentation masks.

Atizar is an AI agent platform where the server executes approved actions rather than the model directly. This architecture provides controlled execution of AI agent tasks with server-side validation.

BLOOM is a 176 billion parameter open-access multilingual language model developed by BigScience. It supports text generation in 46 natural languages and 13 programming languages. The model was trained collaboratively by over 1,000 researchers as part of the BigScience workshop.

Askmaps.ai is an AI-powered tool for location-based queries and map interactions. It enables users to ask natural language questions about places, directions, and geographic information.

Mixtral-8x7B-Instruct-v0.1 is a sparse mixture of experts language model developed by Mistral AI. It uses 8 expert networks with 7 billion parameters each, designed for instruction-following tasks. The model is available for download and deployment through Hugging Face.

Gemma 7B is an open-weights large language model developed by Google. It is a 7 billion parameter model designed for text generation and natural language understanding tasks. The model is available through Hugging Face for research and development purposes.

DeepSeek-V3 is a large language model developed by DeepSeek AI. The model is available on Hugging Face for research and development purposes. It represents DeepSeek's third major version in their language model series.

Stable Diffusion 3.5 Large is a text-to-image generation model developed by Stability AI. It builds on the Stable Diffusion architecture to generate images from text prompts. The model is available through Hugging Face for research and development purposes.

Phi-2 is a 2.7 billion parameter language model developed by Microsoft Research. It is designed for research purposes and demonstrates strong reasoning and language understanding capabilities. The model is available through Hugging Face for developers and researchers to explore and build upon.

Loop Library is a collection of reusable agent skills and workflows for building AI agents. It provides automation components designed for agentic workflows and integrates with tools like Codex. The library helps developers create and orchestrate AI agent behaviors.

Janus-Pro-7B is a multimodal AI model developed by DeepSeek AI. It is designed to handle both visual understanding and image generation tasks within a unified architecture. The 7B parameter model is available on Hugging Face for research and development purposes.

XTTS-v2 is a text-to-speech model developed by Coqui that supports voice cloning from short audio samples. It enables multilingual speech synthesis across 17 languages using a single model. The model can generate natural-sounding speech while preserving speaker characteristics from reference audio.

Meta's Llama 3 8B Instruct is an instruction-tuned large language model optimized for dialogue and assistant use cases. The 8 billion parameter model is designed to follow instructions and generate helpful responses in conversational contexts.

Skills is an open-source framework for building AI agent capabilities and integrations. It provides a structured approach to defining and managing skills that AI agents can use to perform tasks. The project has gained significant community traction with over 2,300 GitHub stars.

Whisper Large V3 is OpenAI's automatic speech recognition model capable of transcribing and translating audio across multiple languages. The model is trained on a large dataset of diverse audio and supports multilingual speech-to-text conversion. It is available through Hugging Face for integration into various applications.

Llama 3.1 8B Instruct is an open-weight large language model developed by Meta. It is an instruction-tuned variant optimized for dialogue and task completion with 8 billion parameters. The model is available for download and deployment through Hugging Face.

Kokoro-82M is a lightweight text-to-speech model with 82 million parameters available on Hugging Face. It provides voice synthesis capabilities for converting text input into spoken audio output.

Meta-Llama-3-8B is an 8 billion parameter large language model developed by Meta. It is part of the Llama 3 family of open-weight foundation models designed for text generation and natural language processing tasks.

Stable Diffusion v1-4 is a latent text-to-image diffusion model developed by CompVis. It generates images from text prompts using a frozen CLIP text encoder and a UNet-based architecture. The model is available through Hugging Face for research and creative applications.

Stable Diffusion XL Base 1.0 is a text-to-image generation model developed by Stability AI. It produces high-quality images from text prompts and serves as the foundation model in the SDXL pipeline. The model is available on Hugging Face for research and creative applications.

FLUX.1-dev is a 12 billion parameter text-to-image model developed by Black Forest Labs. It offers high-quality image generation with guidance distillation for improved output. The model is available for non-commercial use through the Hugging Face platform.

DeepSeek-R1 is an open-weight large language model developed by DeepSeek AI. The model is available on Hugging Face for download and deployment in AI applications.

An open-source tool for detecting deception in real-life scenarios without requiring video uploads to external servers. The system performs binary classification to identify potential deception while keeping data processing local for privacy.

Omnigent is an open-source framework for building, orchestrating, and governing AI agents. It provides tools for agent coordination and management in multi-agent systems. The project focuses on agent governance and orchestration capabilities.