Hugging Face

The AI community building the future.

5.0•59 reviews•

2.4K followers

The AI community building the future.

5.0•59 reviews•

2.4K followers

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LLMs

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AI Infrastructure Tools

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

This is the 19th launch from Hugging Face. View more

MorphAI

Launching today

Seamless Facial Identity Transformation

Face Morphing in Images is an advanced facial identity transformation model that enables smooth, continuous cycling of identities across multiple faces within a single image. Using precise landmark detection and feature-aligned blending, it delivers seamless transitions, accurate geometry mapping, and visually coherent morphing across varying face sizes, angles, and expressions.

Free

Launch tags:Artificial Intelligence•Tech•Computers

Launch Team

Setapp — Grow, and monetize your app with unified AI gateway

Grow, and monetize your app with unified AI gateway

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Previous Hugging Face Launches

private ai planner for daily tasks private ai planner for daily tasks

Launched on February 16th, 2026

MindsEye Dataset Admin Console "The first public dataset of real organizational AI memory

Launched on January 7th, 2026

Kindle Highlight Organizer Turn Kindle highlights into usable knowledge

Launched on December 27th, 2025

View all Hugging Face launches

Do you use Hugging Face?

5.0

Based on 59 reviews

Review Hugging Face?

Makers widely credit Hugging Face as essential infrastructure for building and shipping AI. The makers of

Cartesia Sonic

rely on it for open models and datasets, while the makers of

Sagehood AI

call it the leading place to host and collaborate. The makers of

Meilisearch

praise its OSS ecosystem for developers. User feedback echoes this: rich model selection, active community, easy inference endpoints, and strong tooling. Minor caveats note heavier models and a learning curve, but overall sentiment is highly positive.

+57

Summarized with AI

Pros

open source models (13)

AI community (7)

model hub (6)

ease of use (5)

AI model repository (4)

community support (4)

collaboration on AI models (3)

inference endpoints (3)

open datasets (3)

dataset curation (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•1 review

Just had a quick play with it. Truly amazing - I could bounce from asking stupid whimsical questions about the ocean with no sponges to getting reasonable looking code for how to rotate vectors using Euler angles, then asked for a version that uses duals and it correctly recognized I was referring to dual quaternions and provided me an answer for that. Followed that up with a request for a new song and it wrote a slightly cheesy set of lyrics with chord progressions that seemed to more or less work for a love song for guitar after prompting me for instrument and play style ( which I replied with blues and guitar). If this is the future of search, bring it on!

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54 views3yr ago

•9 reviews

✨ As a new profile working in product and operations, I genuinely admire what Hugging Face is building. You've made AI feel more accessible, collaborative, and... actually understandable! I might not write the models, but I can explore, learn, and even imagine use cases thanks to the clarity and openness of your platform. This is exactly the kind of shift that empowers cross-functional teams to innovate together. 🚀 #AIForEveryone #ProductThinking #FutureOfWork

What's great

ease of use (5)AI community (7)collaboration on AI models (3)

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47 views10mo ago

•16 reviews

The models perform well, and the Transformers library is robust, although some models are computationally heavy, which can slow down smaller projects. Still, it’s a solid tool.

What's great

Transformers library (2)

What needs improvement

computationally heavy models (1)

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21 views1yr ago