Hugging Face launches

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.

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.

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.

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.

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.

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.

A sentence-transformers model that maps sentences and paragraphs to a 384-dimensional dense vector space. Designed for tasks like semantic search, clustering, and sentence similarity. Based on MiniLM architecture with 6 layers for efficient inference.

ControlNet-v1-1 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. The model allows users to guide AI image generation while maintaining the quality of the base diffusion model.

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.

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.

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.

Mistral-7B-v0.1 is a 7 billion parameter large language model developed by Mistral AI. It is designed for text generation tasks and is available as an open-weight model on Hugging Face. The model can be used for various natural language processing applications including text completion and conversational AI.

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.

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.

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.

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.

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.

Llama-2-7b is a 7 billion parameter large language model developed by Meta. It is part of the Llama 2 family of open-source foundation models designed for text generation and natural language processing tasks.

FLUX.1-schnell is a fast text-to-image generation model developed by Black Forest Labs. It is designed for efficient image synthesis and is available through Hugging Face for research and development purposes.

Llama 2 7B Chat is a conversational AI model developed by Meta, fine-tuned for dialogue use cases. This 7 billion parameter model is optimized for chat applications and is available through Hugging Face's model hub.

Stable Diffusion 3 Medium is a text-to-image generation model developed by Stability AI. It uses a multimodal diffusion transformer architecture to create images from text prompts. The model is available through Hugging Face for research and development purposes.

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.

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.

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.