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Request to join this organization to beta-test notebooks on Hugging Face!

fffiloni 
posted an update 3 days ago
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I built HF Radio on Hugging Face Spaces 📻
fffiloni/HF-Radio

A live community radio for AI-generated songs, powered by tracks created with ACE-Step.

You can tune in, discover community-made songs in many languages, vote on what sounds good, and mark your real favorites as Bangers.

The more people listen, vote, and create, the better the station gets.

Under the hood, it connects a few Hugging Face pieces together:

Spaces for the live app, HF buckets for community tracks, OAuth for signed-in listeners, server-side streaming with ffmpeg, hourly playlist refreshes, moderation, jingles, and community feedback loops.

It’s not just a playlist.

It’s a shared taste experiment:
new songs get a shot every hour, and the community helps decide what deserves another spin.

Come listen.
Find weird gems.
Support the Bangers.
Shape the radio.

—> fffiloni/HF-Radio
fffiloni 
posted an update 8 days ago
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462
Great technical guide by Nico Martin on the Hugging Face blog, showing how to use Transformers.js inside a Chrome extension and run ONNX models from the Hub locally with WebGPU inside a Manifest V3 extension.

The interesting part: this is not just a chatbot in a side panel.

The article walks through the architecture behind a browser agent that can read open tabs, query webpages, search history, and highlight elements directly on the page — with models downloaded from the Hugging Face Hub, cached under the extension origin, and executed locally instead of being called through a remote API for every prompt.

A strong blueprint for building local-first web copilots, reading assistants, and AI-powered browsing workflows.

Article: https://huggingface.co/blog/transformersjs-chrome-extension
fffiloni 
posted an update 10 days ago
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I’ve been reading “What if AI systems weren’t chatbots?”
What if AI systems weren't chatbots? (2605.07896) 👀

The paper asks a simple but important question: what if the chatbot interface is not just a neutral wrapper around AI models, but part of the problem?

A chatbot can make a system feel more capable, more certain, and more “human” than it really is. That matters, because interfaces shape how we trust, use, and delegate to AI systems.

When everything becomes: ask → answer
we can lose sight of the actual workflow:
- parameters
- alternatives
- uncertainty
- intermediate steps
- failure modes
- human control

For creative AI especially — image, video, editing, animation — I’m not sure “chat” should always be the default interface.

Sometimes we need a conversation.
But often we need a canvas, a timeline, sliders, masks, previews, comparisons, and visible pipelines.

This is also why I find many open ML demos interesting: Spaces, Gradio apps, visual tools, small focused interfaces.

They often explore another direction — not just better assistants, but better tools. 🤗
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fffiloni 
posted an update 28 days ago
fffiloni 
posted an update 29 days ago
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🚀 RB-Modulation is back on Hugging Face Spaces!

This is an older project that recently broke due to dependency changes, but it’s now fixed and running again ✅

👉 What’s fixed:
- GroundingDINO & LangSAM installation
- compatibility with recent environments
- GPU inference running smoothly again

👉 Try it here:
fffiloni/RB-Modulation

Feel free to give it a try again — feedback welcome!
fffiloni 
posted an update about 1 month ago
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✨ PASD Magnify is back on Hugging Face Spaces

fffiloni/PASD

PASD isn’t recent, but still delivers strong results — worth restoring rather than replacing.

Getting it to run again wasn’t a simple dependency issue.
It relied on parts of diffusers that no longer exist, while moving to Gradio 6 forced a much newer HF stack — and I couldn’t modify the original source directly.

Recreating the old environment wasn’t practical.
So I patched the downloaded code at runtime before import and made it compatible with today’s stack.

That ended up being the only approach that held without forking or freezing everything to outdated versions.

If you’ve used it before (or are curious), feel free to give it another try.
fffiloni 
posted an update about 2 months ago
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✅ Back up and running!

My TIGER app is now fully working again, with fixes and full compatibility with Gradio 6 🚀

It lets you:
- 🎙️ Separate multiple speakers from an audio file
- 🎬 Extract each speaker directly from a video
- 🎧 Split audio into dialog, music, and sound effects (DnR)
- 🎥 Apply DnR separation directly on videos

All powered by lightweight TIGER models for fast and efficient speech separation.

Try it here 👉 fffiloni/TIGER-audio-extraction
fffiloni 
posted an update about 2 months ago
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AniDoc is back 🎉

I’ve fixed the Space and brought it back to life:
- ✅ Working again after being broken for a while
- ✅ Updated to Gradio 6
- ✅ Compatible with ZeroGPU
- ✅ Output videos now preserve original resolution and FPS

I also added advanced controls so you can experiment more (tracking, seed, motion, sketch).

Try it here: fffiloni/AniDoc
fffiloni 
posted an update 2 months ago
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I brought DALL·E mini back to life 🤖🎨

You can try it here:
fffiloni/dalle-mini-reboot

And I also built a batch version using Hugging Face Jobs (up to 50 images per prompt):
fffiloni/dalle-mini-via-jobs

The goal was to stay close to the original JAX/Flax pipeline, while integrating it with modern tooling (Gradio + Jobs).

It ended up being a fun way to revisit this model — still weird, still fun 😄
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fffiloni 
posted an update 2 months ago
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A clearer demo for TADA (now multilingual) 🔊🌍

I improved the public demo for TADA — a generative framework for speech modeling via text–acoustic dual alignment.

TADA models speech as a joint sequence of text tokens and acoustic tokens, using a transformer backbone to keep text and audio synchronized during generation.

The original demo already exposed these mechanisms, but the workflow made the pipeline hard to understand.

This updated demo makes the process clearer:

• load the model
• prepare a reference voice (optionally with transcript or Whisper auto-transcription)
• generate speech conditioned on that reference

It also adds multilingual support.

Presets are included for a few languages, but the model supports more:

English, French, Spanish, German, Arabic, Mandarin Chinese, Italian, Japanese, Polish, Portuguese

Feel free to try different voices, accents, or languages and see how the alignment behaves.

👉 fffiloni/tada-dual-alignment-tts-demo

Paper
TADA: A Generative Framework for Speech Modeling via Text-Acoustic Dual Alignment (2602.23068)
mrfakename 
posted an update 6 months ago
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Excited to share that I've joined the Hugging Face Fellows program! 🤗

Looking forward to contributing to & working more closely with the open-source ecosystem - huge thanks to everyone who's supported me on this journey! 🚀
mrfakename 
posted an update 7 months ago
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Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: https://huggingface.co/spaces/mrfakename/EmoAct-MiMo

(Turn 🔊 on to hear audio samples)
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merve 
posted an update 7 months ago
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deepseek-ai/DeepSeek-OCR is out! 🔥 my take ⤵️
> pretty insane it can parse and re-render charts in HTML
> it uses CLIP and SAM features concatenated, so better grounding
> very efficient per vision tokens/performance ratio
> covers 100 languages
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lbourdois 
posted an update 7 months ago