Hugging Face's logo

Join the conversation

Join the community of Machine Learners and AI enthusiasts.

Sign Up

All HF Hub posts
blaise-tk 
posted an update 2 days ago
view post
Post
2638
A few months ago, I shared that I was building with @deeivihh something like "the Steam for open source apps"...

🚀 Today, I’m excited to announce that Dione is now open source and live in public beta!

Our mission is simple: make it easier to discover, use, and contribute to open source applications.

🔗 GitHub: https://github.com/dioneapp/dioneapp
💬 Join the community: https://discord.gg/JDFJp33vrM

Want to give it a try? I’d love your feedback! 👀
Abhaykoul 
posted an update about 13 hours ago
view post
Post
463
🎉 Dhanishtha 2.0 Preview is Now Open Source!

The world's first Intermediate Thinking Model is now available to everyone!

Dhanishtha 2.0 Preview brings revolutionary intermediate thinking capabilities to the open-source community. Unlike traditional reasoning models that think once, Dhanishtha can think, answer, rethink, answer again, and continue rethinking as needed using multiple blocks between responses.

🚀 Key Features
- Intermediate thinking: Think → Answer → Rethink → Answer → Rethink if needed...
- Token efficient: Uses up to 79% fewer tokens than DeepSeek R1 on similar queries
- Transparent thinking: See the model's reasoning process in real-time
- Open source: Freely available for research and development


HelpingAI/Dhanishtha-2.0-preview
https://helpingai.co/chat
  • 1 reply
·
merve 
posted an update 1 day ago
burtenshaw 
posted an update about 17 hours ago
view post
Post
547
Inference for generative ai models looks like a mine field, but there’s a simple protocol for picking the best inference:

🌍 95% of users >> If you’re using open (large) models and need fast online inference, then use Inference providers on auto mode, and let it choose the best provider for the model. https://huggingface.co/docs/inference-providers/index

👷 fine-tuners/ bespoke >> If you’ve got custom setups, use Inference Endpoints to define a configuration from AWS, Azure, GCP. https://endpoints.huggingface.co/

🦫 Locals >> If you’re trying to stretch everything you can out of a server or local machine, use Llama.cpp, Jan, LMStudio or vLLM. https://huggingface.co/settings/local-apps#local-apps

🪟 Browsers >> If you need open models running right here in the browser, use transformers.js. https://github.com/huggingface/transformers.js

Let me know what you’re using, and if you think it’s more complex than this.
sequelbox 
posted an update 1 day ago
view post
Post
607
The full Celestia 3 science-reasoning dataset is here!

- 91k high-quality synthetic science prompts answered by DeepSeek-R1-0528
- subjects include physics, biology, chemistry, computer science, Earth science, astronomy, and information theory
- one of the reasoning datasets powering the upcoming Shining Valiant 3 :) coming soon!

GET IT NOW, FOR EVERYONE: sequelbox/Celestia3-DeepSeek-R1-0528
SUPPORT OUR RELEASES: sequelbox/SupportOpenSource

with love,
allegra
  • 1 reply
·
asigalov61 
posted an update 1 day ago
fantos 
posted an update 2 days ago
view post
Post
2370
🎬 How to Use Seedance, the #1 Video Generation Model, for Free

📌 A Hidden Gem I Stumbled Upon
While browsing Hugging Face, I discovered an amazing project. I found ByteDance's Seedance video generation service - which knocked Google's VEO3 down to 2nd place on the video generation leaderboard - available for free on Hugging Face!

ginigen/Seedance-Free

Leaderboard standings:
🥇 1st: ByteDance Seedance
🥈 2nd: Google VEO3

It's called "Bytedance Seedance Video Free" and is provided by Ginigen.

💡 My Experience Using It
Key Features

Natural Physics Engine
-Realistic object movements
-Sophisticated light and shadow rendering

Fast Generation Speed
-Average 30 seconds to 1 minute completion
-No waiting - instant access

🛠️ Available Features
Text to Video
-Generate 5-second videos from text descriptions
-Multiple aspect ratio support (16:9, 9:16, 1:1, etc.)

Image to Video
-Convert static images to videos
-Supports URL input or direct upload

AI Prompt Enhancement
-AI-based prompt optimization
-Expands simple descriptions into detailed scenarios

📊 Technical Stack
Model API: Bytedance Seedance
Interface: Gradio
Prompt AI: VIDraft/Gemma-3-R1984-27B
Free API keys provided

🎯 Perfect For
Social media content creators
Marketing/advertising professionals
Video production beginners
AI technology enthusiasts
  • 1 reply
·
ginipick 
posted an update 2 days ago
view post
Post
2495
🎨 Flux-Kontext FaceLORA - AI Portrait Style Transfer

🌟 Introduction
Transform your photos into masterpieces! Flux-Kontext FaceLORA is an innovative AI-powered tool that converts portrait photos into various artistic styles using cutting-edge technology.

ginigen/Flux-Kontext-FaceLORA

✨ Key Features

📸 Easy to Use: Upload photo → Select style → Click Generate!
🎨 7 Art Styles: Famous painter styles including Van Gogh, Monet, Renoir
🤖 Face Preservation: AI maintains your facial features while transforming the style
⚡ Fast Generation: Get results in seconds with ZeroGPU support
🎯 Custom LoRA: Use any LoRA model from HuggingFace

🖼️ Available Styles

🏯 Studio Ghibli - Whimsical anime art style
🌊 Winslow Homer - American realist watercolor
🌻 Van Gogh - Post-impressionist with swirling brushstrokes
🍎 Paul Cézanne - Geometric post-impressionist structure
🌸 Renoir - Impressionist with soft luminous light
🪷 Claude Monet - Impressionist light and color
⚔️ Fantasy Art - Epic magical character portraits

🚀 How to Use
1️⃣ Upload your portrait photo
2️⃣ Select an art style from gallery
3️⃣ Add optional description
4️⃣ Click Generate ✨ button!
💡 Pro Tips

🎭 Front-facing photos work best
🎨 Adjust Style Strength for transformation intensity
🎲 Use Randomize seed for varied results
📝 Add descriptions for more detailed outputs

🛠️ Tech Stack

Model: FLUX.1-Kontext-dev by Black Forest Labs
LoRA: Community-created style adapters
Infrastructure: Hugging Face Spaces + ZeroGPU

🎉 Start Creating Now!
Create your unique AI portrait and share it on social media! #FluxKontextFaceLORA #AIArt #PortraitTransfer
Kseniase 
posted an update 3 days ago
view post
Post
3187
10 Open-source Deep Research assistants

Deep Research agents are quickly becoming our daily co-workers — built for complex investigations, not just chat. With modular architecture, advanced tool use and real web access, they go far beyond typical AI. While big-name agents get the spotlight, we want to highlight some powerful recent open-source alternatives:

1. DeerFlow -> https://github.com/bytedance/deer-flow
A modular multi-agent system combining LMs and tools for automated research and code analysis. It links a coordinator, planner, team of specialized agent, and reporter, and converts reports to speech via Text-to-Speech (TTS)

2. Alita -> https://github.com/CharlesQ9/Alita
Uses a single problem-solving module for scalable reasoning through simplicity. It self-evolves by generating and reusing Model Context Protocols (MCPs) from open-source tools to build external capabilities for diverse tasks

3. WebThinker -> https://github.com/RUC-NLPIR/WebThinker
Lets reasoning models autonomously search the web and navigate pages. Deep Web Explorer allows interaction with links and follow-up searches. Through a Think-Search-and-Draft process models generate and refine reports in real time. RL training with preference pairs improves the workflow

4. SimpleDeepSearcher -> https://github.com/RUCAIBox/SimpleDeepSearcher
A lightweight framework showing that supervised fine-tuning is a real alternative to complex RL, using simulated web interactions and multi-criteria curation to generate high-quality training data

5. AgenticSeek -> https://github.com/Fosowl/agenticSeek
A private, on-device assistant that picks the best agent expert for browsing, coding, or planning—no cloud needed. Includes voice input via speech-to-text

6. Suna -> https://github.com/kortix-ai/suna
Offers web browsing, file and doc handling, CLI execution, site deployment, and API/service integration—all in one assistant

Subscribe to the Turing Post:https://www.turingpost.com/subscribe
Read further ⬇️
  • 2 replies
·
pagezyhf 
posted an update 1 day ago
view post
Post
939
In case you missed it, Hugging Face expanded its collaboration with Azure a few weeks ago with a curated catalog of 10,000 models, accessible from Azure AI Foundry and Azure ML!

@alvarobartt cooked during these last days to prepare the one and only documentation you need, if you wanted to deploy Hugging Face models on Azure. It comes with an FAQ, great guides and examples on how to deploy VLMs, LLMs, smolagents and more to come very soon.

We need your feedback: come help us and let us know what else you want to see, which model we should add to the collection, which model task we should prioritize adding, what else we should build a tutorial for. You’re just an issue away on our GitHub repo!

https://huggingface.co/docs/microsoft-azure/index
Recently active users