Hugging Face

SambaNova 🤝 Hugging Face Don't miss an Open-Source AI night to remember! Hosted by: 🎙️ Murray Newlands 🎙️ Ahsen Khaliq Connect with AI experts from all over Silicon Valley and VCs who are at the cutting edge. Learn more about the event ⤵️ https://lu.ma/ubkc4glk #OpenSource #AI #GenAI

OminiControl offers subject-driven control - given an object in an input image, you can place it into a completely new setting simply using text prompts. 🚀 OminiControl also offers great spatial control: It generates very good in-paintings while preserving the structure of the input image. In short, OminiControl is a powerful universal control framework for Diffusion Transformer models like FLUX🔥🔥 Build locally with gradio app: https://lnkd.in/g3kqEsKN OR Play with the official Gradio app on Hugging Face Spaces: https://lnkd.in/gjqYqMGv

OOTDiffusion to virtually try-on any outfit with a target human body. Realistic, controllable, high-quality image-based virtual try-on (VTON). Trending on GitHub🔥 Model and gradio app available on Hugging Face 🤗. Build Gradio app on your own hardware: https://lnkd.in/dHfb-KWq 🤗 OR try out OOTDiffusion on Spaces with ZeroGPU (free A100 GPUs for community): https://lnkd.in/eDhNdZer

Are you ready❔ You know, you first need a high-quality dataset to build AI models that convert text to images. What about if we build it all together and make the result available to the whole Open Source community? My team at Argilla has already worked hard to create and clean the source dataset. So tomorrow, you can provide YOUR preferences between images that YOU consider valid for building AI models. You are all welcome with or without code skills, with or without a background in AI. It's also about democratizing access to AI projects and making how they work transparent.

Text-Guided-Image-Colorization🔥 You can influence the generated colors of objects within black-and-white images, making the colorization process more personalized and creative. Play with the gradio app on Spaces👇 This project utilizes the power of Stable Diffusion (SDXL/SDXL-Light) and BLIP captioning model to provide an interactive image colorization experience. Kudos to Sylvain F. for making the gradio app work on Spaces with ZeroGPU. Build the Gradio app on your own hardware: https://lnkd.in/gwDdmiWc Gradio app on Hugging Face Spaces: https://lnkd.in/gnJhkyNR

Logo in Context -- Apply any logo to anything!🚀 Cool trick to copy a logo to create useful mockups or just for fun with your friends! 🤯 Workflow: In-Context LoRA + Image-to-Image + Inpainting. Explore the free gradio app and learn more about the project here on Hugging Face Spaces: https://lnkd.in/ga2NCtQ6

Lets go! 🤩 Generate images based on the reference image and a text prompt. InstantX Team has released the first IP Adapter for FLUX [dev]. This has been a tremendous release that very nicely complements the recently launched FLUX.1 Tools by Black Forest Labs. The InstantX/FLUX 1-dev IP Adapter Gradio app is available for FREE for the community to explore. You can access it on Hugging Face Spaces at: https://lnkd.in/gr5AUGFD.

📣 Introducing EchoMimicV2 for simple semi-body human animations! 🔥It utilizes a reference image, an audio clip, and a sequence of hand poses to generate a high-quality animation video, with coherent audio and half-body movements. License: Apache 2.0. Deploy EchoMimicV2 locally with the official Gradio app: https://lnkd.in/g_fqXf43 Model weights on Hugging Face: https://lnkd.in/gyJxNMNm

Having preset options that a user can click on in a chat!🤩 🔥 💪 Coming soon to Gradio chatbots!

What a week! A recap for everything you missed ❄️ Link to all models and datasets in comments 💬 Multimodal ✨ > Mistral AI released Pixtral 124B, a gigantic open vision language model > Llava-CoT (formerly known as Llava-o1) was released, a multimodal reproduction of o1 model by PKU > OpenGVLab released MMPR: a new multimodal reasoning dataset > Jina has released Jina-CLIP-v2 0.98B multilingual multimodal embeddings > Apple released new vision encoders LLMs 🦙 > Ai2 dropped a huge release of models, datasets and scripts for Tülu, a family of models based on Llama 3.1 aligned with SFT, DPO and a new technique they have developed called RLVR > Jina has released embeddings-v3: new multilingual embeddings with longer context > Hugging Face released SmolTalk: synthetic dataset used to align SmolLM2 using supervised fine-tuning > Microsoft released orca-agentinstruct-1M-v1: a gigantic instruction dataset of 1M synthetic instruction pairs Image Generation 🖼️ > Black Forest Labs released Flux 1. tools: four new models for different image modifications and two LoRAs to do image conditioning and better steer generations Lastly Hugging Face released a new library Observers: a lightweight SDK for monitoring interactions with AI APIs and easily store and browse them 📚 $ pip install observers